The LeanScale Podcast · Episode 39

How to Scale GTM in the AI Era: Anthony Enrico's Playbook for Modern RevOps

LeanScale co-founder Anthony Enrico on the Traction podcast — the modern, revenue-per-FTE GTM playbook for AI-era startups

Anthony Enrico · Co-Founder · LeanScale A LeanScale solo episode
Published Updated 01:05:56 56 min read 11,111 words
Executive Summary

The one-paragraph brief, extended

Why this conversation matters — and who should spend the hour.

This is a guest appearance: LeanScale co-founder Anthony Enrico joins his old friend and former colleague Lloyed Lobo on the Traction podcast for a tactical tour of what modern go-to-market actually looks like. Anthony's credibility is operator-earned — he led RevOps at Emailage (acquired by LexisNexis for roughly half a billion dollars) and was head of RevOps at Boast on its run past $20M ARR before co-founding LeanScale, a fractional RevOps firm he has kept revenue-back (no outside funding) the entire time. The hour is his answer to one question: how do you scale GTM in the AI era without burning cash or your brand?

The central diagnosis is that most companies are simply 'AI-powering the old playbook' — running the same high-volume spray-and-pray, now amplified by AI SDR tooling. That doesn't help; it burns reputation faster than ever because every recipient can see through mass personalization. Anthony reframes the goal around a new north-star metric — revenue per FTE, where the companies scaling well now run $500K+ per head versus the old $150–200K benchmark. The winning move is fewer, better, more-leveraged people. Founders should sell first: start with your network, then micro-niche to a buyer for whom the product is a no-brainer, and don't hire a salesperson until demand outstrips your own calendar. Reps are harvesters of pipeline, not creators of demand, so it's always brand and marketing before the rep. In an AI-driven 'sea of sameness,' brand itself becomes the thing that generates demand.

The middle of the conversation is a working GTM-stack teardown. Anthony's lean stack: HubSpot as the CRM you grow with (don't force Salesforce, and never turn a CRM into your data warehouse — pair HubSpot with Snowflake and Looker instead); Amplemarket for AI-intent sequencing that watches for job changes and new CROs/heads of RevOps and fires custom, human-reviewed email + LinkedIn sequences; Clay for waterfall enrichment and the 'go-to-market engineering' research a firmographic tool can't do; Ocean.io for lookalike targeting; Default for AI routing that also spins up Slack channels, projects, and CRM records; Ebsta for data cleanup, relationship scoring, and AI forecasting; ChatGPT for pre-call research and content; and Riverside for content and podcasting. The rule throughout is AI to 90%, human for the last mile — and the payoff is concrete: Clay agents scraping job postings let AEs run their own sequences and have replaced dedicated SDR headcount.

The final third is operator philosophy. Repeatability starts with planning — can you set targets and reliably hit them? — but everything downstream must keep iterating, because growth difficulty is exponential, not linear, and companies lose product-market fit at every technology wave (on-prem to cloud, cloud to SaaS, SaaS to AI-native). Anthony and Lloyed land on a shared metaphor: run your GTM like health and fitness, tracking 'biomarkers' (leading indicators like onboarding speed, first-time-to-value, pipeline created, and conversion) rather than staring at the lagging scoreboard. The LeanScale case study ties it together: build the product you wish existed (the RevOps partner Anthony wanted when he was a head of RevOps), hire fewer but better people than yourself, treat culture and integrity as the founder's job — and even then, he still hired a salesperson too early with no brand or marketing to back him. Who should listen: founders in their first 90 days, RevOps and GTM operators modernizing their stack, and anyone trying to separate real AI leverage from the LinkedIn theater.

Key Takeaways

13 things worth stealing

The load-bearing ideas, each with the business implication and who should care.

01

Most teams are just AI-powering the old playbook

The dominant failure mode of the AI era is taking the same high-volume, low-quality spray-and-pray and amplifying it with AI SDR tooling (e.g., 11x). Mass 'personalization' fools no one — recipients see through it instantly — and it burns reputation before you've even had time to iterate on your messaging.

Why it matters: AI is not a permission slip to send more. Slow down, protect your domain reputation, and spend the leverage on quality and iteration, not raw volume.

FoundersRevOps LeadersSales Leaders
02

Revenue per FTE is the new north-star metric

The old playbook measured hiring and money raised; the new one measures revenue per full-time employee. The companies scaling well now run $500K+ per head, versus the old $150–200K 'doing pretty well' benchmark, because AI-native operators do far more with less.

Why it matters: Reframe RevOps as a proactive investment that keeps headcount and spend low while raising return. One or two supercharged AEs beat a room full of average reps.

FoundersRevenue ExecutivesRevOps Leaders
03

Demand before the rep — reps harvest pipeline, they don't create demand

Founders hire salespeople expecting a cheat code that grows revenue for them. But reps are harvesters of pipeline and closers, not demand creators. Build marketing, brand, a repeatable pipeline channel, and your own sales process first; hire only when your calendar can't hold the demos and proposals.

Why it matters: In the early phases the founder must be the 'Renaissance salesperson' — talking to customers, refining message and ICP, and feeding product. A rep hired before demand exists will fail through no fault of their own.

FoundersSales Leaders
04

Start with your network, then micro-niche to a no-brainer buyer

First sales should be small and inside your network — people who already respect you will give honest feedback on value. From there, micro-niche: find the buyer for whom the product is an absolute no-brainer, make the economics the best deal of their lives, and let that sharpen your messaging and positioning (e.g., Moxie targeting first-time med-spa creators).

Why it matters: If you can't sell to people who already think highly of you, selling to strangers will be far harder. Niche focus makes every downstream GTM decision easier.

Founders
05

Brand now generates demand in a sea of sameness

With AI commoditizing SaaS and everyone pushing the same LinkedIn posts, webinars, and emails, brand is the differentiator. Aesthetics signal seriousness (a bad website reads as a bad company), and 'content is the new advertising' — written, tutorials, or podcasts — is how you build an authentic voice and community that in turn creates demand.

Why it matters: Under-investing in brand marketing is the common trap because it lacks clean attribution. But buyers interact with your brand for months before they ever hit a campaign — fund it anyway.

FoundersMarketing Leaders
06

Don't turn your CRM into a data warehouse

You don't need Salesforce at scale anymore for a long while; start on HubSpot, which is pre-built, affordable, and scales. The real reason people reached for Salesforce was to handle data complexity — but a CRM is a poor data warehouse. Stay on HubSpot, stand up Snowflake as the warehouse for sales/product/financial data, and report from there (e.g., Looker).

Why it matters: Separate system-of-record from analytics. A clean CRM + warehouse split is a better long-run data strategy than overloading the CRM and paying for complexity you don't need.

RevOps LeadersFounders
07

The lean AI GTM stack: sequencing, enrichment, routing, forecasting

Anthony's go-to stack: Amplemarket for AI-intent sequencing (tracks job changes and new CROs/heads of RevOps, fires custom email + LinkedIn sequences held for human review); Clay for waterfall enrichment and website-scraping research a firmographic field can't answer; Ocean.io for lookalike ICP targeting; Default for AI routing that also creates Slack channels, projects, and CRM records; and Ebsta for data cleanup, relationship scoring, and AI deal forecasting.

Why it matters: Buy tools against specific use cases, not hype. Amplemarket and Clay are complementary — Amplemarket owns firmographics and multichannel sending, Clay's agents go get the bespoke data no platform has as a field.

RevOps LeadersSales Leaders
08

AI to 90%, human for the last mile

The point of AI isn't producing more with less — it's producing better. The best tools (Amplemarket is Anthony's example) take a sequence to 90% and explicitly hand the last mile to a human so it sounds like it came from you. Anthony uses ChatGPT for LinkedIn ideas and pre-call/podcast research, but never copies and pastes it raw.

Why it matters: Creativity, agency, and the ability to prompt uniquely are the durable edge — 'not more output, but better output.' Keep human judgment in the loop or the quality drop shows immediately.

RevOps LeadersMarketing LeadersSales Leaders
09

AI workflows are already replacing SDR headcount

Concrete pattern from LeanScale's customers: Clay agents scrape websites for new job postings, feed a job-switching sequence, and let AEs run their own outbound — removing the SDR that used to be paired to that work. AEs make more money, and the same result needs fewer people.

Why it matters: The future doesn't belong to the largest teams; it belongs to the most leveraged. Design roles around agent-augmented AEs before defaulting to more headcount.

Revenue ExecutivesRevOps LeadersSales Leaders
10

Onboarding and first-time-to-value are the leading indicators of retention

Onboarding is the leading indicator of engagement, and engagement is the leading indicator of retention — a customer who never uses the product cancels regardless of a paid annual contract. Before buying a CSP (ChurnZero, Planhat) or analytics (Pendo), define exactly what first-time-to-value is and sprint to it. For LeanScale, FTV is the first dashboard that visualizes a customer's data.

Why it matters: Fix the process and the FTV definition first; tooling is secondary. Time-to-value is the difference between a renewal and a silent churn.

Customer SuccessFoundersRevOps Leaders
11

Repeatability is planning you can hit — but growth difficulty is exponential

The first sign of repeatability is being able to set targets and reliably hit them, which means the tactics underneath scale. But everything else stays iterative: sequences and content that work now go stale in months. And difficulty compounds — each stage (validation, product-market fit, product-channel fit, scale) is exponentially, not linearly, harder, and you can lose PMF at every technology wave (on-prem to cloud, cloud to SaaS, SaaS to AI-native).

Why it matters: Plan against real data, then expect conversion and channel returns to decay as you scale. Don't naively 4x the target and 4x the headcount — that's a train wreck to the bottom.

FoundersRevenue ExecutivesRevOps Leaders
12

Run GTM like health and fitness — track the biomarkers

We're conditioned to treat GTM like sick care: wait for something to break, then react to the symptom. Instead, watch leading indicators (GTM 'biomarkers') the way you'd track diet, activity, and sleep — onboarding speed, churn by segment, new-rep ramp, pipeline created, conversion. Every goal has a behavior and a leading indicator; miss the inputs and you'll miss the goal.

Why it matters: The goal is not important if you don't understand the leading indicators. Automate a weekly performance-to-plan digest (email + Slack) so every health metric is visible before it becomes a fire.

RevOps LeadersRevenue ExecutivesFounders
13

Build the product you wish existed, then hire fewer, better people

LeanScale exists because Anthony built the RevOps partner he wanted when he was a head of RevOps at Series A/B companies — playbooks, engineers, and tool recommendations informed by seeing ~50 companies. Two early traps: thinking he could train cheap junior people for margin (funding would have let him 'burn it to the ground'), and hiring a salesperson too early with no brand, marketing, or pitch deck to back him.

Why it matters: Build for a problem you love, staff it with people better than you, guard culture and integrity as the founder's core job, and don't outsource demand creation to a rep before it exists — even when you 'know better.'

Founders
Frameworks Discussed

10 named models

Every framework Jimmy names, defined and time-stamped.

Revenue per FTE: The New North-Star Metric

03:14

Measure the business by revenue per full-time employee rather than by headcount hired or money raised. Top performers run $500K+ per head (versus an old $150–200K benchmark), driven by AI-leveraged operators.

Reframes RevOps as a proactive investment that keeps headcount and spend low while lifting return — a company powered by one or two supercharged AEs rather than brute-forcing growth with more reps and more ad spend.

Demand Before the Rep

10:37

Build marketing, brand, a reliable pipeline channel, and your own sales process before hiring a salesperson. Reps are harvesters of pipeline and closers — not creators of demand.

Founders treat a sales hire as a cheat code to grow revenue, but the correct trigger is when demand outstrips the founder's calendar (not enough time for demos or proposals). Until then the founder must be the 'Renaissance salesperson.'

Network → Micro-Niche → No-Brainer Buyer

08:29

Land your first sales inside your existing network, then narrow to a hyper-specific micro-niche for whom the product is an absolute no-brainer, and make the economics the best deal of their lives early on.

If you can't sell to people who already respect you, strangers are far harder. Micro-niching (e.g., Moxie targeting first-time med-spa creators) sharpens messaging, positioning, and value proposition into something hyper-focused.

Content Is the New Advertising (Brand-First GTM)

16:23

In an AI-driven sea of sameness, brand generates demand. Aesthetics signal seriousness and a content strategy (written, tutorials, or podcasts) is the modern equivalent of commercials and billboards.

SaaS is commoditizing, so functional advantages aren't enough — buyers will follow brands. Content also builds authentic relationships (sitting down with a thought leader who could be a prospect) even though brand marketing lacks clean attribution.

HubSpot + Snowflake, Not Salesforce-as-Warehouse

17:48

Start on HubSpot as an affordable, pre-built, scalable CRM; stand up Snowflake as the data warehouse for sales, product, and financial data; and report from there (e.g., Looker) rather than overloading the CRM.

The reason teams historically reached for Salesforce was data complexity — but a CRM is a poor data warehouse. Separating system-of-record from analytics is a better long-run strategy than turning the CRM into the company warehouse.

First Time to Value (FTV)

33:13

Before buying any onboarding or CSP tooling, define exactly what first-time-to-value is for your product and sprint to reach it as fast as possible.

Onboarding is the leading indicator of engagement, and engagement is the leading indicator of retention; a customer who never reaches value churns regardless of contract. For LeanScale, FTV is the first dashboard that visualizes a customer's data.

AI to 90%, Human for the Last Mile

39:24

Let AI take work to roughly 90% and reserve the last mile for a human, so output sounds authentic and nothing goes out that doesn't resonate. The goal is producing better, not just producing more.

Amplemarket's held-for-review sequences are the model — AI writes the full sequence, the human tweaks it to sound like them. Creativity, agency, and unique prompting are the durable edge in the AI era.

GTM Biomarkers: Leading Indicators Over Lagging Goals

47:04

Treat go-to-market like health and fitness: track leading-indicator 'biomarkers' (onboarding speed, churn by segment, new-rep ramp, pipeline created, conversion) instead of reacting to lagging results after they break.

Society is conditioned toward 'sick care' — waiting for a symptom then treating it. Every goal has a behavior and a leading indicator; if the leading indicators aren't met, you won't hit the goal, so the score takes care of itself only when you manage the inputs.

Growth Difficulty Is Exponential, Not Linear

44:27

Each stage of growth — validation, product-market fit, product-channel fit, scale — is exponentially harder than the last, and you can lose product-market fit at every technology wave (on-prem to cloud, cloud to SaaS, SaaS to AI-native).

Conversion rates and channel returns decay as you wear channels out, so naively multiplying targets and headcount fails. The lawyer's warning to Anthony — 'this is going to be the easiest time in the business' — captures why repeatability must stay iterative.

Build the Product You Wish Existed

58:44

Design your offering as the thing you personally wished existed in your prior role, then scale the 'love' by hiring people better than yourself, guarding culture and integrity, and getting process and finances tight early.

LeanScale is the RevOps partner Anthony wanted as a head of RevOps — playbooks, engineers, and tool recommendations from seeing ~50 companies. Passion for the problem is what sustains a founder through the scaling grind where you spend more time with customers, not less.

Best Quotes

17 lines worth clipping

Pulled verbatim. Copy or share any of them.

“What's happening, which is almost ironic, is people are just AI-powering the old playbook.”
Anthony Enrico 05:02
“The old playbook was how many people you hire, raise money. The new playbook is what's your revenue per FTE?”
Lloyed Lobo 04:18
“When a bad company raises a bunch of money, it only makes it worse. LeanScale, we've been revenue-back the entire time, and I actually think that has helped us make better decisions.”
Anthony Enrico 07:11
“If you as the founder can't sell to people who already think highly of you, you're going to have a real hard time selling this to a stranger.”
Anthony Enrico 08:29
“They're really just harvesters of pipeline. They're closers and they should get paid for what they do, but you can't expect them to create the demand in the market.”
Anthony Enrico 11:16
“Anytime I go to somebody's website and it looks like crap, I just assume that's how they approach everything else.”
Anthony Enrico 15:53
“Content is the new advertising. It's the new commercials, it's the new billboards. You have to have a content strategy — that's how you get your brand out in an authentic way.”
Anthony Enrico 16:23
“I actually don't think you need Salesforce at scale anymore for a long while. Stay on HubSpot as long as you can and set up Snowflake to be your data warehouse.”
Anthony Enrico 18:22
“The future doesn't belong to the largest teams. It belongs to the most leveraged.”
Lloyed Lobo 37:27
“It's not about producing more with less, it's producing better. That is the key.”
Lloyed Lobo 38:11
“AI is going to get it pretty close, but right away people are seeing right through it. Here's a full sequence — now go tweak it so it actually sounds like it came from you.”
Anthony Enrico 39:24
“Before you even go buy a tool, I would have a very, very clear definition of what first-time-to-value is, and be hyper-focused on getting there as quickly as possible.”
Anthony Enrico 33:13
“At each stage of growth, it's not a linear growth of difficulty, it's an exponential growth of difficulty. So expect your conversion rates will not be the same.”
Anthony Enrico 44:27
“The goal is not important if you don't understand the leading indicators and the inputs. If you follow the leading indicators and the inputs, the score will take care of itself.”
Lloyed Lobo 57:20
“I hired a salesperson way early. We had no brand, we had no marketing, we barely had a pitch deck, and I expected him to go make me millions of dollars. That's stupid.”
Anthony Enrico 56:09
“Mostly I built it for me. I wish it was the service that existed when I hopped into companies. How many Anthony Enricos are out there?”
Anthony Enrico 58:44
“The biggest waste of time in GTM right now is sending a million cold emails and a million cold LinkedIn outreaches — you're not spending enough time on quality, and you're ruining your brand in the process.”
Anthony Enrico 01:04:43
Practical Advice

What should you actually do?

The playbook, split by the seat you sit in.

Founders

  • Sell first. Land your first customers inside your network, then micro-niche to a buyer for whom the product is a no-brainer — and don't hire a salesperson until demand outstrips your own calendar.
  • Fund brand and content before paid, direct-response channels. In a sea of sameness, brand is what generates demand; get a good designer and pick a content format (written, tutorials, or a podcast) you can sustain.
  • Bootstrap discipline is a feature: staying revenue-back forces the tough, high-return decisions that outside funding lets you avoid.
  • Hire fewer, better people than yourself, and treat culture and integrity as the founder's core job — people watch how you react to a tough customer or a chance to cut a corner.

RevOps Leaders

  • Treat RevOps as proactive investment, not a cost center or an after-the-fact ticket queue — its job is to keep headcount and spend low while lifting return, measured as revenue per FTE.
  • Don't turn the CRM into a data warehouse: start on HubSpot, stand up Snowflake for sales/product/financial data, and report from Looker.
  • Buy tools against specific use cases — Amplemarket for AI-intent sequencing, Clay for bespoke enrichment/research, Ocean.io for lookalikes, Default for routing-plus-provisioning, Ebsta for data cleanup and forecasting.
  • Automate a weekly performance-to-plan digest (email + Slack) that keeps every GTM 'biomarker' visible before it becomes a fire.

Marketing Leaders

  • Assume buyers interact with your brand for months before they hit a campaign — invest in brand marketing even though attribution is messy.
  • Make aesthetics a standard: a professionally designed website, pitch deck, and leave-behinds signal intentionality and can be the difference in a sale you'll never attribute.
  • Use content as relationship-building — a podcast or thought-leadership conversation gives a prospect a reason to know you and learn your business authentically.

Sales Leaders

  • Stop scaling volume with AI. Mass 'personalization' burns reputation faster than ever; take AI to 90% and put a human on the last mile so outreach actually sounds real.
  • Design agent-augmented AE workflows (e.g., Clay agents scraping job postings into a sequence) so AEs run their own outbound and you need fewer SDRs for the same result.
  • Coach to leading indicators — at-bats, demos per day, content, thought leadership — not last-day-of-quarter Hail Marys; the customer isn't buying on your timeline.
AI Takeaways

How AI actually changes GTM

LeanScale's signature read on the AI-in-GTM question this episode wrestles with.

The thesis

AI is leverage, not a volume dial. Most teams are 'AI-powering the old playbook' — amplifying spray-and-pray until it burns reputation. The operators who win take AI to 90%, keep a human on the last mile, and reinvest the productivity as revenue per FTE, not raw send volume.

AI amplifies the wrong thing by default

Bolt an AI SDR tool (11x and friends) onto mass personalization and every recipient sees through it — inboxes get wrecked with identical messages and trust erodes faster than ever. The fix is quality and iteration, not more sends.

Better, not more

The point of AI isn't producing more with less; it's producing better. Amplemarket's held-for-review sequences model it — AI drafts to 90%, the human tweaks the last mile so it sounds authentic.

Revenue per FTE is the AI-era scoreboard

AI-native operators run $500K+ per head versus an old $150–200K benchmark. Frame AI as the lever that keeps headcount lean while raising return.

Agents are already replacing SDR headcount

Clay agents scraping job postings into a sequence let AEs run their own outbound — removing the paired SDR, so AEs earn more and the same result needs fewer people.

Creativity is the durable edge

AI will take jobs faster than people can upskill, so agency and unique prompting decide who wins — 'not more output, but better output.'

Agent & automation ideas

  • A job-change/intent agent that watches for new CROs and heads of RevOps (and the companies they left), drafts a custom email + LinkedIn sequence, and holds it for human review before sending — the Amplemarket pattern.
  • A Clay-style research agent that scrapes a target's website for roles-hiring, messaging fit, and recent content (e.g., 'posted a podcast last week') and waterfalls it against firmographic data no single platform has as a field.
  • A routing-plus-provisioning agent (à la Default) that, on inbound signup, spins up the Slack channel, the delivery project, and the CRM records automatically.
  • A weekly performance-to-plan agent that assembles every GTM 'biomarker' and posts it to email and Slack so leading indicators are visible before they become fires.
Operations Takeaways

By function

The same conversation, filtered for RevOps, pipeline/marketing ops, and customer ops.

Revenue Operations

  • RevOps is proactive, not an afterthought. Its job is to keep headcount and spend low while lifting return — measured as revenue per FTE — by supercharging a couple of AEs, not brute-forcing growth.
  • Separate system-of-record from warehouse. Start on HubSpot, stand up Snowflake for sales/product/financial data, and report from Looker instead of overloading the CRM.
  • Buy tools against use cases. Amplemarket for AI-intent sequencing, Clay for bespoke enrichment/research, Ocean.io for lookalikes, Default for routing-plus-provisioning, Ebsta for data cleanup and forecasting.
  • Repeatability = planning you can hit. The first sign of repeatability is setting targets and reliably hitting them; everything else stays iterative because tactics and content go stale in months.
  • Manage the biomarkers. Track leading indicators — onboarding speed, churn by segment, new-rep ramp, pipeline created, conversion — and automate a weekly performance-to-plan digest.

Pipeline & Marketing Ops

  • Demand before the rep. Reps harvest pipeline and close; they don't create demand. Build marketing, brand, and a reliable channel first, and hire only when demand outstrips the founder's calendar.
  • Micro-niche the ICP. Narrow to a buyer for whom the product is a no-brainer; the ICP is dynamic and evolves as products and customers change, so revisit it constantly.
  • Intent beats volume. Sequence on real signals — job changes, new CROs/heads of RevOps, recent fundraises — rather than blasting a first-name-token sequence to the whole market.
  • Score and forecast on clean data. Ebsta pulls all email/meeting activity into the CRM, relationship-scores accounts, and auto-fills qualification fields to forecast deal health — most pipelines are missing that activity data.
  • Coach leading indicators. No Hail-Mary deal walks in on the last day of the quarter; at-bats, demos per day, and content are what convert.

Customer Operations

  • Onboarding drives retention. Onboarding is the leading indicator of engagement, and engagement is the leading indicator of retention — a customer who never uses the product cancels regardless of an annual contract.
  • Define first-time-to-value first. Before buying a CSP or analytics tool, define exactly what FTV is and sprint to it; for LeanScale it's the first dashboard that visualizes a customer's data.
  • Process before tooling. You can go far with the CRM plus the right trackers; reach for ChurnZero/Planhat or Pendo only when a technical product needs deep usage measurement.
  • Scale the love. As you grow you spend more time with customers, not less, so build for a problem and customer you genuinely love or you won't last.
Metrics Mentioned

The numbers, with context

$500K+ per head
Revenue per FTE (top performers)

The companies scaling well now run $500K+ revenue per FTE, versus the old '$150–200K and growing means doing pretty well' benchmark.

~$2,000 per FTE
Legacy tooling spend per FTE

Lloyed's framing of the old model — roughly $2,000 in tooling spend (Outreach, Salesforce, and the rest) per full-time employee.

$20M+ ARR
Boast ARR under Anthony

Anthony was head of RevOps at Boast on its run past $20M+ ARR before founding LeanScale.

~$500M (acquired by LexisNexis)
Emailage exit

Anthony led RevOps at Emailage ('Email Edge'), acquired by LexisNexis for roughly half a billion dollars.

~100 of ~200 employees left within a year
Emailage alumni diaspora

About 200 people worked at Emailage; roughly half left within a year of the LexisNexis acquisition and seeded LeanScale's first network-based customers.

20+ pivots
LeanScale messaging iterations

LeanScale has changed its messaging more than 20 times and keeps fine-tuning message and ICP — the case for not blasting the whole market early.

~50 companies
LeanScale customer visibility

LeanScale draws its playbooks and tool recommendations from seeing what's working across roughly 50 companies at once.

Entities

Companies, people & tools mentioned

Auto-extracted and linked into the knowledge graph.

Companies

LeanScaleGTM Operations

Anthony's revenue-back (no outside funding) fractional RevOps firm; the running case study for building the product you wish existed, hiring fewer/better people, and reaching first-time-to-value via the first Salesforce/Looker dashboard.

01:44 · 51:50 · 59:56Company →
BoastFintech / R&D Funding

Lloyed Lobo's company (R&D-funding platform) where Anthony was head of RevOps on the run past $20M+ ARR; also the shared history behind the interview.

00:00 · 01:02:05Company →
TractionCommunity / Media

Lloyed Lobo's startup community, conference, and podcast — the show this episode aired on ('hey traction fam').

00:00Company →
EmailageRisk & Fraud

Referenced (transcribed 'Email Edge') as where Anthony led RevOps before it was acquired by LexisNexis for roughly half a billion dollars; ~200 employees, ~100 of whom left within a year of the acquisition and seeded LeanScale's first network-based customers.

00:00 · 52:33Company →
LexisNexis Risk SolutionsData & Risk Analytics

Acquirer of Emailage for roughly half a billion dollars — the exit that gave Anthony the capital and network to start LeanScale on the side.

00:00 · 52:33Company →
MoxieVertical SaaS / Med Spa

Cited example of hyper-focused micro-niching — a full-service platform plus services for people creating med spas, targeted at the first-time med-spa creator.

09:52Company →
Ample MarketAI Sales / Outbound

Anthony's favorite sequencing and data tool (branded Amplemarket) — AI-intent sequences on job changes and new CROs/heads of RevOps, held for human review, across email and LinkedIn, plus AI voice.

19:00 · 33:55Company →
HopinEvents / Video

Named as the lower-revenue-per-FTE contrast to AI-native companies in the revenue-per-FTE discussion.

04:18Company →
CursorAI Dev Tool

Cited as the AI-native company archetype whose revenue per FTE runs into the several-hundred-thousands to millions.

04:18Company →
ZoomInfoGTM Data / Sales Intelligence

Referenced as a firmographic data source whose fields can't answer the bespoke questions Clay's agents can (e.g., 'companies that posted a podcast last week').

24:33Company →
SnowflakeData Cloud

Recommended as the data warehouse to pair with HubSpot — hold sales, product, and financial data there and report from it rather than overloading the CRM.

18:22Company →
HubSpotCRM / Marketing

Recommended starting CRM — affordable, pre-built, and scalable enough that most companies no longer need Salesforce at scale.

17:48Company →

People

Tools & software

SalesforceCRM

Cited as the CRM you no longer need at scale for a long while, and the tool teams wrongly overloaded as a data warehouse; still where LeanScale auto-provisions records via Default.

ClayGTM Data / Enrichment

Enrichment and 'go-to-market engineering' tool — waterfall enrichment across hundreds of data sources and agents that scrape websites for bespoke research (roles hiring, messaging, podcasts posted) a firmographic field can't return.

ChatGPTAI Assistant

Anthony's everyday research and content layer — deep pre-call company research, LinkedIn post ideas, and external stats/psychology to enrich a podcast storyboard (never copy-pasted raw).

OutreachSales Engagement

Named (with Salesloft) as the old volume-era sequencing paradigm — load a sequence, personalize with first-name tokens, play the numbers game — that Amplemarket is now putting to shame.

SalesloftSales Engagement

Named alongside Outreach as the legacy sequencing tooling Amplemarket outclasses.

GongRevenue Intelligence

Reference point for conversational intelligence — Ebsta does 'very similar to Gong' call analysis to score deals and auto-fill qualification fields.

Apollo.ioSales Intelligence / Engagement

Anthony calls Apollo 'a dinosaur' next to Amplemarket and notes its LinkedIn sequencing is weak; Lloyed is a long-standing Apollo user for data and sequences.

11xAI SDR / Outbound

Cited as an AI SDR tool that amplifies spray-and-pray — 'slap on AI with 11x' and inboxes get wrecked with identical-looking sales messages.

LookerBI / Data Modeling

Recommended BI/reporting layer on top of the Snowflake warehouse in the HubSpot-plus-warehouse data strategy.

Ocean.ioGTM Data / Lookalikes

Lookalike-company tool for ICP targeting — load your highest-LTV customers and it finds similar companies by revenue, headcount, and space, useful for upmarket/ABM motions.

DefaultInbound / Routing

AI-powered routing and lead-scoring tool that also creates things — for LeanScale's On-Demand signups it spins up a Slack channel, a project in the PM system, and Salesforce records automatically.

EbstaRevenue Intelligence / Forecasting

Under-appreciated revenue-intelligence platform — cleans data by ingesting all email/meeting activity into Salesforce, relationship-scores accounts, runs Gong-like conversational intelligence, auto-fills MEDDPICC/BANT/CHAMP fields, and scores deal health for forecasting.

ChurnZeroCustomer Success Platform

Named as a customer-success platform (CSP) option for measuring product usage and retention once the process and FTV definition are in place.

PlanhatCustomer Success Platform

Named alongside ChurnZero as a customer-success platform option.

PendoProduct Analytics

Named as the deeper feature-metrics/product-analytics option for very technical products that need granular usage tracking.

RiversideContent / Podcasting

Anthony's pick for a most-underrated GTM tool under $100/mo — a full suite to run a podcast and content operation with strong AI editing.

Methodologies referenced MEDDPICCBANTCHAMP
Frequently Asked Questions

Straight answers

Generated from the conversation, marked up for search and AI extraction.

What is the biggest GTM mistake founders make in the AI era?

AI-powering the old playbook — taking the same high-volume, spray-and-pray outreach and amplifying it with AI SDR tooling. Mass personalization fools no one, wrecks inboxes with identical-looking messages, and burns your reputation before you've even had time to iterate on messaging. The fix is to slow down, protect quality, and spend AI leverage on better outreach, not more of it.

What is revenue per FTE and why does it matter?

Revenue per FTE (full-time employee) is the new north-star metric replacing headcount hired and money raised. Companies scaling well now run $500K+ in revenue per employee, versus an old benchmark of $150–200K, because AI-leveraged operators do far more with less. It reframes RevOps as a proactive investment that keeps headcount and spend low while raising return.

When should a startup hire its first salesperson?

Only when demand outstrips the founder's own calendar — when there aren't enough hours for the demos and proposals. Reps are harvesters of pipeline and closers, not creators of demand. Build marketing, brand, a reliable pipeline channel, and your own sales process first; a rep hired before demand exists will fail through no fault of their own. It's always demand before the rep.

Do you need Salesforce at scale, or can you stay on HubSpot?

You can stay on HubSpot far longer than most people think. Teams historically reached for Salesforce to handle data complexity, but a CRM is a poor data warehouse. A better strategy is to keep HubSpot as the CRM, stand up Snowflake as the warehouse for sales, product, and financial data, and report from a BI tool like Looker — separating system-of-record from analytics.

What tools are in a lean, modern AI GTM stack?

Anthony Enrico's stack: HubSpot as CRM with Snowflake and Looker for data; Amplemarket for AI-intent sequencing on signals like job changes and new CROs/heads of RevOps; Clay for waterfall enrichment and bespoke website research; Ocean.io for lookalike ICP targeting; Default for AI routing that also provisions Slack channels, projects, and CRM records; Ebsta for data cleanup and forecasting; ChatGPT for research; and Riverside for content and podcasting.

How do you balance AI output with human oversight?

Take AI to about 90% and reserve the last mile for a human, so nothing goes out that doesn't sound authentic or resonate. The goal isn't producing more with less — it's producing better. Amplemarket's held-for-review sequences are the model: AI writes the full sequence, and the human tweaks it so it sounds like it came from them. Creativity and unique prompting are the durable edge.

What does repeatability actually mean in GTM?

The first sign of repeatability is being able to set targets and reliably hit them, which means the tactics underneath are scalable. But everything downstream must keep iterating, because sequences and content go stale in months and growth difficulty is exponential, not linear — you can lose product-market fit at every technology wave. Plan against real data and expect channel returns to decay as you scale.

How should you track GTM performance?

Run GTM like health and fitness by tracking leading-indicator 'biomarkers' — onboarding speed, first-time-to-value, churn by segment, new-rep ramp, pipeline created, and conversion — rather than reacting to lagging results after they break. Every goal has a behavior and a leading indicator; if the inputs aren't met, you won't hit the goal. Automate a weekly performance-to-plan digest to email and Slack so every metric stays visible.

Full Transcript

The whole conversation

Broken into chapters, searchable, verbatim from the audio. Speakers inferred (not diarized).

00:00Intro: Anthony Enrico, from Emailage and Boast to LeanScale

0:00 All right, let's rock and roll. Hey traction fam. Super excited for today's session with my old friend and former colleague Anthony Enrico, the MMA fighter. MMA fighter by passion, RevOps genius by profession. I've had a great, great experience working with Anthony, who's the founder now of LeanScale, but prior to LeanScale, he was our head of RevOps at Boast as we went to 20 million plus ARR. And we'll get into the complications of what that entails, what is RevOps and how does RevOps help GTM win, but prior to Boast and LeanScale, Anthony led RevOps at this company called Email Edge, which was acquired by LexisNexis for half a billion and

0:55 Anthony is an all-around badass. We're super excited to dive into how do you win GTM in the AI era? You're hearing all about AI agents leveraging all kinds of technologies and data points to email people to generate more leads, to do more discovery, better discovery. So we're gonna get into all of that. Anthony, thanks for joining us and I'm super, super stoked to have you here beyond a friend as a guest on the show. You are always my ultimate hype man. So I appreciate it, love it, really excited to dive into it. And there has been even, our journey at Boast wasn't too long ago and so much has changed.

1:44 And here at LeanScale, I've kind of been thrown right at the intersection of technology, AI, what the modern ways to grow GTM at startups look like and yeah, I'm excited to hop in. You know, what's interesting is I was at Sastra a couple of days ago and although the AI gold rush is here, it feels like most companies are still running a go-to-market playbook that is from 10 years ago, 5-10 years ago, right? And so that's why this is very interesting is what is the modern GTM playbook look like with AI at its core and how do you build a GTM stack without burning cash? Remember the time where for every FTE, you had like

02:28Ops as a proactive function, not a cost center

2:28 $2,000 in spend between like outreach and Salesforce and everything else. And also want to get your tools of trade. What are the tools you swear by for outbound onboarding and enablement? And how does the whole AI plus human fit in? Where do you bring AI? Where do you still leverage humans? So I'm super, super excited. Ops, you know, always feels like an afterthought, right? But I think it has to be a very proactive function. We always think of ops as after the fact, right? Dive into that a little bit. Well, usually you're thinking, especially early on, you're thinking, okay, if I hire one more AE or if I spend this amount of

3:14 revenue into one more marketing channel, my return on that can be more than maybe thinking of ops as a cost center. And that was really common. Like growth at all costs mindsets is just let's throw as many reps at it as we can. Let's dump as much money into marketing as we can and let's just brute force our way. Now, which I know we're going to get into in a little bit, but the North Star metric for a lot of startups now is revenue per FTE. So I think the mindset has shifted a little bit. It's how do I have one or two AEs that are making 500K, a million dollars to themselves that are supercharged by ops,

3:53 go to market engineering and giving them all the tools that they need to be super successful. So I think the proactive investment in RevOps is helping to keep headcount and spend in other areas low, but much, much more efficient in getting a higher return. Awesome. RevOps does the stuff that nobody wants to do.

04:18Revenue per FTE: the new north-star metric

4:18 But doing that proactively actually helps everyone do their jobs better more efficiently. And I liked the anchor here. The old playbook was how many people you hire raise money. The new playbook is what's your revenue per FTE? And if you look at it Hoppin versus like a cursor and the new AI native companies, you can see that revenue per FTE is going into the several hundred thousand dollars to the millions. So let's start there. I want to start with GTM foundations that actually work. What's the biggest GTM mistake founders are making in the first 90 days and what should

05:02The biggest GTM mistake: AI-powering the old playbook

5:02 the GTM playbook for an AI native company or a company wanting to be AI native look like? That's a great question and a great place to start. I think what's happening, which is almost ironic, is people are just AI powering the old playbook. So what we see a lot of is high quantity, high volume spray and pray. They think their mass personalization strategy is going to work, but every single person can see through it. So I think what happens a lot is people are really excited. They get clay. They start building all of these like hyper personalized workflows and then they send it to a million people. And what they're really doing is actually

5:50 burning their reputation and not even giving themselves time to iterate on their messaging. Because I can tell from experience here at LeanScale, we have had to change our messaging 20 times and we're continually iterating it and fine tuning what that message is and fine tuning who our ICP is and spending as much time as you can on quality. But if we were to have sent the type of messaging we sent when we first started out to the entire market, I think people are losing trust faster than ever before because now their spray and pray strategies are powered and amplified

6:31 by AI. Because everyone is doing it. So if you look at the age of outreach where you would load up a sequence and your only personalization was the tokens for like first name and a couple other things. And then it was a volume game. It was a numbers game. And I know this teams and SDR managers say just it's a numbers game. Just get them on the phone. But the thing is now you got like every other company doing the same thing and decision makers are getting inundated. Now you slap on AI with like 11X and some of the other AI SDR tools and that is amplified. People's inboxes

7:11 are wrecked with sort of sales messages that all look the same. Where do you start? How do you change that when the volume is no longer the game? Yeah, well, and I think another metaphor I'll use is funding in startups. So when a bad company raises a bunch of money, it only makes it worse. And I think sometimes, so lean scale, we've been revenue back the entire time, we haven't brought on any money. And I actually think that has helped us make better decisions because we've been forced to make tough decisions about what we invest in and forced to pick things

07:53Start with your network, then micro-niche

7:53 that have the highest return. So just like how that happens in startups, I think that happens in go to market where, you know, if you only had a couple shots of getting your message out, maybe you'll put more care into it. But a lot of people just spray and pray like I said. So what to do instead? If it's your first 90 days, you just started, I would start with your network. And the people you know, and the people you built relationships with, if you as the founder can't sell to people who already think highly of you, and maybe even feel guilty not buying what your

8:29 product is, you're gonna have a real hard time selling this to a stranger. So I think the first couple sales that you make, keep it small, keep it within your network, keep it with people you know, and they're the ones who will give you honest feedback. So they'll tell you what's working, what's not working if they're getting value. And I think that's an amazing step one. Where do you expand from there? Or how do you expand from there? So once you feel like, okay, got a couple customers under a belt, feels like they're getting value, I'm getting the positive signals, I think next is just micro micro niche. So think

9:09 about who would this product or service be an absolute no brainer for? Like there's absolutely no reason they wouldn't buy it. And then make sure economically like they're getting the best deal of their lives, especially early on, because you can do that. Go there and I can give you an example. So we had the founder CEO of Moxie and it's a full service platform plus services for people creating medspas. And their hyper focused niche target was somebody creating a med spa for the first time. So they built software and services around that very specific person. And I think

9:52 what it's going to do is your messaging is going to be hyper focused. The way you position your value proposition is going to be hyper focused. And then it's just another test like can I get beyond that level and close those people who should be the easiest people to close. In terms of the GTM foundation, like every founder should build before hiring a sales person. What does that look like? I would say this tends to be a golden rule for most things, but have some empathy and say, did I build the sales role that I would be really excited to have a job in here? So if you were a salesperson, would you be really excited to fill that role

10:37Demand before the rep: don't hire sales too early

10:37 and join the team? And what tends to happen is founders think, oh, I'm going to hire some sales people and they're going to go grow revenue for me. It's a cheat code where I could just pay someone and they're going to build my business. But it doesn't work like that. They're really just harvesters of pipeline. And I know there's some great reps. And I'm not saying that it's because the position is bad. I think people just get confused about what the job is. They're harvesters of pipeline. They can help build a little bit on their own. And they're closers and they should get paid for what they do, but you can't expect them to create the demand

11:16 in the market. So foundationally, I would always start marketing first, brand first, get some channels that you feel like you can reliably build pipeline on. You build the sales process for yourself first. Make sure you have the resources you need to sell well. Do you have a good pitch deck? Do you have good leave behinds? Do you feel like your brand is making your job easy? And then when you just don't have enough time on your calendar for the demos, or you don't have enough time to build the proposals, that's a good time to bring on a salesperson. You know, I love

11:51 that you said that, right? A lot of people want to hire a magic salesperson without figuring out the hard things, right? Like when you're a startup, you're built in phases. First phase is validation. What is that? Does the message resonate with the market? Can you get four or five pilots to pay you to try it out? Then you optimize for product market fit, which is high retention, high engagement. And I think in the early days, you can't hire a magic salesperson to figure that out. They're not incentivized, right? Most salespeople want to make, not most, all of them want to make a commission

12:27 on deals closed. If you don't have somewhat of a repeatable engine, or a way for them to make commission, they're going to check out the founder needs to be the Renaissance salesperson, which is talking to customers, trying to make sure the message is aligning, keep refining that, and then taking that feedback to product to build a product. You're sitting at the intersection of product and sales. And what you learn in those early days, making those calls, sending those emails, getting on demos, doing customer development is you refine your messaging, you refine your ICP.

12:59 And if you can walk away with an ideal customer profile, a hyper niche with whom the problem resonates, then you can come up with the right messaging, the right channels, because you know, you know, where they eat, breathe, drink, sleep. And you can scale from there. And I love what you said about, Hey, are you bursting at the seams? Do you have more leads than you as a founder can close, then hire a salesperson, but it should always be demand before the rep. And I think a lot of people severely under invest in marketing, especially some of the brand marketing, because

13:45Why brand marketing now generates demand

13:45 I think, of course, everybody wants the magic money machine where I put in a dollar and I get back 10. And you can somewhat visualize that on paid ads, reps, SDRs. But that's not how the real world actually works. Like somebody has been looking and interacting with your brand for months, maybe even years before they even hit one of those campaigns. And I think there's just a severe lack of investment in brand marketing, which I would say a lot of SAS with the advent of AI, especially AI and development, a lot of SAS is getting commoditized very quickly. And I think the

14:29 winning strategy, it's going to be like any other commoditized industry, you're going to have to have some functional advantages, but your brand is going to be more important than it used to be before. So people are going to have to follow the brand as they pick out what tools they want to use. 100% man, I used to be a big believer that you need demand. But I think now the best brand marketing will generate demand because demand has turned at the, in the age of AI, it's turned into a sea of sameness. Everyone is pushing similar content on LinkedIn. Everyone's pushing the same

15:08 webinars. Everyone's sending the same emails and everything looks the same. The right brand marketing will help you stand out, will help you build a community, will help you build authentic connections and a voice. And that in turn will generate demand for you. What are some things you recommend in that first marketing engine? What are some, I guess, tricks, tools of the trade, some strategies you've seen companies you work with do well for? Yeah, a couple. Well, one, I know that sounds not that insightful, but get a good designer. Make sure your stuff looks good. Aesthetics matter. Anytime I go to somebody's website and

15:53The first marketing engine: design and content

15:53 it looks like crap, I just assume that's how they approach everything else. Or I assume they're not serious. When I go to their website, when I take a look at their pitch deck, when they send me, send me materials that I can tell have been professionally designed. It's, it shows intentionality. And I think a lot of people maybe think, well, what's the difference between like a good website and a great website? It could absolutely mean the difference between a sale. You just won't know it. You're not going to have attribution on it. So you have to be comfortable with that.

16:23 The next thing I would say is, is content. Content is the new advertising. It's, it's the new commercials. It's the new billboards, whatever you want to call it. You have to have a content strategy. And that can mean a number of things. Maybe yours is written. Maybe it's tutorials. Maybe it's podcasts. But you have to have some type of content strategy. That's how you're going to get your brand out in an authentic way. And one thing, in the context of B2B, SaaS, B2B services, it's what we're in. It's an amazing way to build an authentic relationship. Like you sit down with

17:05 a thought leader who could be a prospect, have a meaningful conversation about the industry that you're in. And then now they know who you are. And now they've had a chance to learn about your business too. Fantastic. Now let's get into the lean, mean GTM stack. I want to talk tools. What is your go-to stack for GTM for an early stage startup? Maybe with one founder, one contractor, a couple of folks. Yeah. So I'll start with CRM. I think starting on HubSpot is amazing. So if you feel like you can fit HubSpot into your budget, which it's pretty affordable. It's getting more

17:48The lean stack: HubSpot vs. Salesforce + Snowflake

17:48 expensive as they've gotten better. But I think starting with them is going to, one, give you something that's pretty pre-built. You don't need a lot of help getting it set up. But then you will also still be set up for scale. So you don't have to go full fledged Salesforce right out the gate. There's some other CRMs that might be interesting, but eventually you're going to need to migrate into something like HubSpot. So I'd start there if you can. Why is that? Why is that? A lot of people say you need Salesforce at scale. Why is that? I actually don't think you need Salesforce

18:22 at scale anymore for a while. I think what tended to happen was people would turn Salesforce more into like their data warehouse. So you needed something that could handle the complexity of your data like Salesforce, but it's a shitty data warehouse. A better combo is stay on HubSpot for as long as you can set up Snowflake to be your data warehouse, put your sales data into your data warehouse, put your product data into your data warehouse, your financial data, do your reporting from there, hook it up to Looker. That's a better like data strategy than trying to turn your CRM

19:00Amplemarket for AI-intent sequencing

19:00 into the company's data warehouse, which a lot of companies were doing. Makes sense. So you got HubSpot. What else in there? So my new favorite sequencing and data tool is AmpleMarket. I think this team has absolutely knocked it out of the park. I think they're putting outreach and sales loft to shame. I think Apollo looks like a dinosaur compared to what they're doing. So AmpleMarket is going to tie in all of your sequencing capabilities, as well as all of your data capabilities. And they're one of the few companies I've seen do this really well and artfully.

19:38 They have AI powered individualized sequences. So I'll give you a couple examples, ones that we use. It'll track if people are changing jobs. That's a big one for us. We track if there's a new head of RevOps somewhere. We track if there's a new CRO somewhere. Usually that comes with some operational changes on the way. It'll automatically find those people and then give them a custom sequence built on that intent signal and then fire it off. So both email and with LinkedIn. And most LinkedIn sequencers are either like standalone and they're okay or they're terrible

20:16 like in Apollo. So AmpleMarket does a really good job of the email and LinkedIn sequencing, getting AI intent signals. And my favorite part, they put all of those sequences in a holding pattern to make sure you can read them before they just fire off. And then you can scan it, tweak it a little bit, rock and roll, lock and load, send off and fire off the sequence. I also see like social automation, like multi-channel. So that's on like pushing the LinkedIn multi-channel sequences, meaning you message someone on LinkedIn or Instagram kind of thing. Yeah. I mean, a lot of it is you can automate liking a post, you can automate commenting on

21:01 a post, you can automate a lot of the interaction on social and then move them into sequences to kind of warm them up, which I think is great. But I think just some of the bread and butter cold outreach, they do super, super well, much better than the other companies out there. And their data is really good. So you can, you know, segment based on who shares the same investors, you can segment based on personas and build those personas. So really, really lights out on data and sequencing. And then I see I see that it's got ways like AI driven copilot. So to to even write

21:43 copy that resonates, etc. Yeah, the copilot awesome feature where it's just going to automate those sequences for any intent signal, something they're doing, we haven't tested it too much. But I'm curious to see how much traction it gets is they even do AI voice. So it'll do a voice message. And you can put that into your sequence, you record your voice, so it'll make it your own voice. And then they'll layer that into the sequencing as well. Makes sense. I'm, I'm excited to try it. I've been a long standing Apollo user because of the data and the sequences I use mix max as well. And I recently signed up for Lucia. So I'm really

22:28Clay for enrichment and go-to-market engineering

22:28 excited to try out ample market. Sending emails is one of has been one of my biggest hacks, like from cold emailing people to speak at my conferences, and come as attendees, almost everything I've done is just cold email people with personalized hyper personalized messages. And it always works. I get like on on newsletter stuff, I'm seeing like 12 15% click rate, not open rate. And on which is which is insane. And on on using the sequencing cold emails, I get like 90 plus percent open rate, and huge reply rate near 50%. So I'm a big fan of anything that provides an uplift there. Other tools in your in your stack, you talked about clay,

23:17 you're using Riverside. Let's dive into those. Yeah, so I think I think clay. You've probably heard of it by now. If you haven't, then you know, maybe you're you don't have a LinkedIn profile. But clay is all over. It's all over. One of my really close friends was the first check in clay. So oh, that's awesome. That's awesome. No, they've done an amazing job. And they've been our on our podcast. So yes, they're head of education, did a full demo on lean scale podcast, and what they've built and what they've done has completely changed the game. And I think they've

23:50 changed the perspective people have on ops. And they've coined the term go to market engineering, which I think is such a appropriate term for a lot of the work that people like lean scale, and people in rev ops in general. But the way we we think of clay, and the way we use it is, is thinking about it in the enrichment space. So pulling together all of the different data sources, and there's so many, they have hundreds of integrations with different data sources, and water falling, you know, how you're going to enrich a contact or enrich a target account that you have, and bringing in as much data as you can, and then doing it in a cost effective

24:33 manner as well. And then the other one that they do an amazing job of is their collisions. So going out, taking a look at their websites, taking a look at publicly available data on the company, and then pulling this together in a meaningful AI powered way to get you information about that company. So some really unique stuff that isn't a field in zoom info. It's not a field in Apollo that you can just search on an ample market. What I was talking about earlier, you can't, you know, hey, I want to know companies that have posted a podcast last week. That's not

25:08 a field you can pull down in one of those systems. So I think finding information out about people and companies clays just completely like opened up the opportunity to do that. Then I do think they position as like personalizing some outreach. I think you can do that. I think about it more as like personalized research is probably going to be more effective. And then using a sequencing tool in paired up with clay. Why would you need clay if you have ample market though? So ample market will get you kind of the typical firmographic information you have. They have a couple additional things that are interesting. But it's not going to go to their

25:55 website and scrape, hey, what are all the roles they're hiring for? It's not going to go to their website and scrape. Hey, are they including this type of messaging? Like, I'm selling to a very specific type of company that works in this type of space. And they message things this way. ample market's not gonna be able to pull in that data, or clay's clay agents can go get that data and pair it up with like your zoom info data or wherever else you want to pull it in from. Now, you talked about ample market a lot. Let's dive by use case, right? So outbound prospecting,

26:30ICP building and lookalikes with Ocean.io

26:30 sales engagement use ample market. What about ICP building, targeting, lead scoring, etc. So this is an interesting one, because I think this is one of the most overlooked aspects of building out your go to market foundations is nailing your ICP and its dynamic your ICP changes as your company changes as you introduce new products, you know, the definition of who your ideal customer is will evolve. So there are a couple of interesting tools that I think allow you to house that data. So ghost GTM AI is one of them, where they will look at your past data and then create ICP profiles for your current customers and then try to project those in the

27:23 future. I think that's really early. So I think that's something that, you know, they're not all quite there yet. But I do think that's coming. Something that I think is interesting, that people can use off the shelf today. I'm going to pause just because I can hear the there we go, sweet. I'll keep going if you're good. Okay, cool. Something that I do think is interesting that you can use off the shelf today is a company like ocean. So ocean.io. It's a look alike company, you can load up your ideal customers, the ones that have the highest lifetime value,

28:03 the ones that you feel like are converting the best, load them up into ocean, and it will go find all of those look alike companies. So if lean scale was a good example of a company for you, a load up lean scale dot team, and it's going to pull all the other companies that look just like lean scale. Here are the ones in the similar revenue bracket, employee headcount, they're in a similar space. And then you can use those to start targeting your outbound efforts, especially if you're in more of a upmarket, ABM style motion, then something like that is going to be super

28:36Lead scoring and routing (Default), forecasting (Ebsta)

28:36 powerful. What about like, in terms of lead scoring, demos, qualification, scheduling, onboarding retention, what are some tools you use there? Let's go go down your list of tools. Yeah, there's a mixed bag. And also some of these depend on where you're at, like if you're super early, or if if you have room in your budget to bring some of them on. But I'd say HubSpot has some decent out of the box lead scoring, I think that can take you pretty far. If you need to take it to another level where you want that scoring to impact routing and exactly where you want things

29:12 to go. One of my favorite tools that's out right now is default. So default AI powered routing, and lead scoring is a part of that as well. But it's not just routing, it'll route and create things for you. I'll give you a tangible example for us. You go to lean scale.team, we have a service called on demand, you can go in, you can sign up for it. We're using default to bring somebody in, automatically create a slack channel for that person, automatically create a project in our project management system, and then automatically create all their stuff in Salesforce

29:50 as well. So it routes, but then you can also create a lot of things based off of that as well. So I think that's a good one. If you're getting into more deal scoring, pipeline health, you're using AI for forecasting. I think one of the best platforms on the market right now, and it doesn't get a lot of attention as it should, is Ebsta. So Ebsta, one, they clean all of your data. So you hook up Ebsta to your email server, it brings all of the emails and meetings anyone in your company has ever had, and then creates them as accounts, contacts, puts them in as

30:32 activities in Salesforce. You'd be shocked at how much data is missing just from your emails. Then it'll create relationship scoring, like how engaged are you with all the people in your system. And then they will do conversational intelligence, very similar to Gong. And they'll use a lot of that conversational intelligence to give you a score on the deal and how the deal's going. They automatically cover all of your qualification fields. So if you're using like MedPick, Bant, Champ, it'll fill in those fields for you from the call recordings. And it will tell you if a deal is progressing well or not, and will tell you exactly what you

31:16Onboarding, first-time-to-value, and retention

31:16 need to do to get a deal back engaged. So something that full blown, that's probably good for like, you know, you have 15, 20 reps and you need that level of sophistication on forecasting. But anyway, those are some of my favorites in those categories. Two things that people don't pay enough attention to, one in particular is onboarding, right? If your customer is not onboarded, right, the chances of them becoming dormant and eventually churning is very high. And then of course, retention. But I do think onboarding is the leading indicator of engagement. And engagement is the leading indicator of retention. If somebody

31:56 pays for a year contract, because your company paid for it, but they never use it, they'll cancel. And they won't use it if the onboarding was so messy that they couldn't even get time to value. So what are some tools you recommend there for help? Well, honestly, for this, I'd start with the process and the mindset, like you were saying. I think you could probably go pretty far with just your CRM and getting the right trackers and fields in. If you do have a very technical product and you need to measure exactly how people are using your product, like what are they clicking on? What features are they

32:36 using? And I do think that's a good use case for a CSP. So if you're going to like a churn zero or plan hat or something like that. But what I would say would be more impactful is one having... What is a CSP, by the way? Oh, sorry, customer success platform. Well, okay. Sorry, I'm just rattling off a million tools. And it's my favorite thing to go through. So it's like a churn zero or a catalyst, but then there's like other sort of feature metrics tools like Pendo that one might use as well to track engagement kind of thing. Yeah. And Pendo would be very deep. So if you

33:13 need really, really deep analytics, I think you could get pretty far with like a churn zero. Depends on the use case. But I would say before you even go buy a tool, I would have a very, very clear definition of what first time to value is for your company and for your product and making sure you are sprinting to get there as quickly as possible. So for LeanScale, it's not a product, it's a service. But we know that people start to see and feel what LeanScale is doing the first time we get a dashboard up. The first time we put up a dashboard in Salesforce or Looker, and we visualize their data, that's when they feel

33:55Anthony's weekly GTM workflow

33:55 like LeanScale is doing something, not just getting added to their services payroll. So we try to get there as quickly as we can. So I think figuring out what that FTV is, and then hyper focused on measuring when you can get there. Now, what does your actual GTM tool workflow look like on a daily or weekly basis? Yeah, great question. So I talk a lot about Amplmarket. I use Amplmarket. I have a couple sequences in there. We're mostly targeting people who just fundraised. Normally, they're wanting to do some enhancements to their operations at that time. So we reach out to the CRO,

34:36 head of ops, if they have one, the founder, we have very specific sequences there. The other one that we're looking for is job changes. So I'm looking for anyone who just started in a new head of RevOps or a new CRO, reaching out to them. We also go back and reach out to the companies that they came from. So if they're new here, it means somebody else is new at where they were before too. So we're kind of hitting both of those at the same time. And then the third, which has actually been the most effective for us in building business, and I think because it's just an authentic way to get engaged with someone, is I reach out to people inviting them

35:14 on the podcast. So I'm reaching out to heads of RevOps, founders, CROs, getting them on a podcast. It does a lot for us. One, we get some amazing content out of it, which helps the brand. But two, I get a chance to have an authentic conversation with someone. We get to know each other, learn about each other. And then at the end, we always hit them with, hey, we also have a referral program. So if you know anyone, it's a way that they can monetize getting to know lean scale as well. So on the sequencing, that's mostly it. And then using AI just to do deep research and preparation. So if I'm about to get on a call,

35:53Workflows that replaced a full-time hire

35:53 I'm pretty much plugged into chat GPT. So hey, tell me everything about this. Tell us where we may meet some of their pain points, and just making sure I know everything I can about a company before hopping on a call. Now, from your experience with your clients, is there a couple of GTM workflows you've seen automated? Is there a couple of GTM workflows you've seen automated that saved a full time hire? Absolutely. Absolutely. I think where it's really saved is AE and SDR headcount. So a lot of the sequences, we have a customer that has used a similar job switching sequence.

36:45 They're using clay. Their clay agents are scraping websites for new job postings. And then they're putting that into their sequence tool. So that has helped AEs run their own sequences. So you don't need to pair them with SDRs, where a lot of times you'd have an SDR paired to do that type of work before. So I think what we're seeing, AEs are just making a lot more money. If you do have an SDR, they're just incredibly effective. So you don't need to hire as many people to get the same result. Yeah, I think the future doesn't belong to the largest teams. It belongs to the most

37:27 leveraged. And I think ARR per FTE is a really, really important metric to watch. And I can't say this enough. When you're looking at companies going into the hundreds of thousands into the millions in ARR plus per FTE. Yeah, I think the going metric before was if you're at like 150 to 200 and you were growing, you were doing pretty well. A lot of the companies we work with have 500k plus revenue per FTE, the ones that are doing well and scaling. In this age of AI, there's a lot of sea of sameness. There's a lot of errors. AI doesn't work 100% all the time as we'd like to

38:11Balancing AI output with human oversight

38:11 tout or see. It gets you pretty far. And I think like my workflow has changed significantly. I can just do a lot more with less. Just leveraging something as simple as chat JBT and leveraging Apollo, for example. Not even some of the latest tools you mentioned, but everything is getting AI enabled. But how do you balance AI output with human oversight so the quality doesn't drop ultimately? It's not about producing more with less, it's producing better. That is the key. Yeah, I mean, initially, when a lot of these tools came out, I had the same excitement and

38:49 height of just like, oh my goodness, I can send this thing that I would normally spend 30 minutes on, I can send it to 100,000 people, because AI is going to get it pretty close. But right away, people are seeing right through it. I mean, I get it all the time in my inbox, somebody goes, wow, I really like the insight on your podcast that you posted last week. I'm like, you didn't listen to the podcast. Like this is this is some, you know, AI bogus that's coming into my inbox right now. So I think the way you framed it, AI with human oversight is the best way to think about

39:24 it. Look for just like ample market does a good job of, hey, we took it 90%. But we really need you to take it the last mile. Like here's a full sequence, we wrote out everything, but go tweak it so it actually sounds like it came from you. And make sure I didn't send anything out that just doesn't resonate. And for me personally, too, I use, like I use chat GPT to write a lot of my LinkedIn posts, but I don't just copy and paste it. But it gives me a lot of new ideas, things that I didn't even think about. And before I do a podcast, something I've been doing recently too,

40:00 is I load up the storyboard. And I say, Hey, I'm doing a podcast on this. Can you pull some external research, maybe some like, psychological things that would relate to this as well? Like, are there things that I can pull in externally or some statistics that would be relevant to what we're talking about? And then it does like a full research, fully relatable stuff that I can drop into the podcast, that normally you would have somebody like, you would hire someone to give you that level of preparation, and to copyright all of this stuff for you. But now I can just get it from

40:41 chat GPT, clean it up, you know, make sure it's saying exactly what I wanted to say, and then post it. Definitely, man, it's it's given me great leverage. Even even something as simple as taking transcripts from these audios, right, and turning them into clips, turning them into blog posts, turning them into visuals, it's what you can do. And it's not more, it's better, it's differentiated, I think the ability to prompt in a unique way, a creative person will always be able to win this game, I think in the age of AI, where AI will take jobs faster than one can upscale.

41:22What repeatability really means

41:22 What matters is your ability to design your creativity, your agency, the more agency you have, the better your output will be not more output, but better output. Now a big part of RevOps is helping companies create repeatability. What does repeatability actually mean in concrete terms? I think the first sign that you're hitting some level of repeatability is I actually start with planning. So can you set targets? And can you hit them reliably, at least close. And I think when you're doing that in a pretty consistent basis, it means all of the tactics you have underneath

42:06 are being they're scalable and they're repeatable. But I think the way you know if you're doing it is if you can look out a quarter or two and hit a target. And I'm not saying make up crazy false targets, it's just can you look at the previous data, project in the future, make good business decisions of who you hire and where you allocate your capital, and then get the amount of growth that makes sense for the investment you made. So I think from planning it's there, but a lot of everything else, it's going to be iterative. So some of the sequences I'm sending now, maybe they

42:43 work today, it's probably going to get tired in the market. Three, six months from now, I'm going to have to change the approach. You know, what looked like good content a year ago looks like absolute garbage now. So I think you have to keep iterating in the tactics. But I think if you can be repeatable and hitting targets, that's when you know you're in a good rhythm. You know what's what's really interesting. And you and I can laugh about this is sometimes you see that first metric of repeatability. And then you forget that the world doesn't operate linear,

43:17 like that. And you're like, okay, you know what, I got to x million with y head counts, and I'm going to forex the targets, and I'm going to just forex the head count, and watch that. And then that's like a train wreck all the way to the bottom. You know, it's funny, I know we both have that shared experience, which is exactly right. And then when I when I started lean scale, and we were incorporating everything, I was talking to our lawyer. And he just gave this, I don't know if it was advice, but he just said it, he said, Hey, this is going to be the easiest

43:57 time in the business. It's only gonna get harder from here. I don't know why he told me that. I don't know if he was like trying to convince me not to do it or what. But he was absolutely right. It was like, hey, go close a couple deals with your friends and family. Like you could do that. Now you got to go into like a micronet. Oh, now you got to like, create a brand and messaging to get strangers in and then you have to the type of service like Anthony and Rico would provide, we got to make sure we're getting people who could provide an even better service and train them

44:27Growth difficulty is exponential, not linear

44:27 and equip them like, I haven't had better advice than that, that at each stage of growth, it's, it's not a linear growth of difficulty, it's an exponential growth of difficulty. So expect your conversion rates will not be the same, your investment will not bring the same return in that channel, because you're going to wear it out. There's only so much elasticity you have in the things that you're doing. So anyway, it gets harder as you grow. You know, at every phase, as you go from validating the market to then the next phase being product market fit, which is engagement retention to then product channel fit. Do you

45:05 have repeatability of a channel where you're kept payback period? It's not years, but maybe it's months. And then you get to a point of scale where you're adding new products, new markets, new technologies, etc. Right at each phase, I think you have a tendency to fall out of product market fit, although you may have also with each technological wave, you might fall out of tech product market fit. So for example, looking at the first one, say you validated the market, but then, you know, when they're using your product, some things may have changed as they got into using it. And you may not have the product market fit that you thought you did.

45:47Losing product-market fit through each tech wave

45:47 Or maybe you get a reputable scalable channel, and you're getting volume of leads. But the requirements change something changed. And you may start to see lower retention. And you got to watch that watch engagement, watch onboarding as as a leading indicator of retention. And it's the same with every technological shift, right? You lose product market fit, or you stand to choose to stand to lose product market fit. For example, the SaaS folks are losing product market fit right now in the age of AI competing with AI native companies. But if you look at the cloud era,

46:24 if you stuck with the cloud, you would have lost all business. And if you didn't move to, you know, from, like, sorry, if you were in the on prem era, and if you didn't move to the cloud, you would lost all product market fit. Right. And then the same thing, it from going from SaaS to AI, if you don't adopt AI, you're going to lose product market fit. Absolutely. And you just have to think every time you go through that transition, it's only going to get harder and harder as you go. So don't don't expect it to be easy. And the second you feel like you need to be tracking all this too. And I think a good metaphor, I know

47:04GTM biomarkers: leading indicators over lagging goals

47:04 you're extraordinary when it comes to health and fitness, like probably top 1% of humans who understands how the human body works and how to keep it, you know, running optimally. But in in health and fitness, you're looking at biomarkers, you have to be measuring like, what are you eating? How are you exercising? What does your sleep look like? And if any one of those starts to go off, it's a canary in the coal mine that hey, there might be something else happening here. And in the same regard, you have to look at your go to market foundation as well, say, Okay, what's

47:37 what's happening? Why is onboarding running a little bit slower? Why is churn going up a little bit in this segment? How come we're not able to get traction with some of these new reps? What's going on? And I think you really have to be measuring all of those markers and go to market just like you would for your health. And then constantly making adjustments and making decisions. You know, what's really interesting is we've been conditioned as a society to treat everything like sick care, you get you get sick, something breaks, and then you go to the doctor and they've tried to

48:10 figure out the system symptom versus looking at the inputs or rather leading indicators, their goals, every goal has a behavior and a leading indicator. If the leading indicators are not being met, there's no way you're going to hit the goal. So if you look at it in fitness, if one of the leading indicators to dropping body fat is you need to be in a caloric deficit, and the other is you increase your daily activity, not just gym time, if you go just to the gym and lift weights 16 minutes a day, you're still sedentary, right? Like how many minutes of walking

48:49 time you're getting, are you in a total calorie deficit, etc. You're not going to drop body fat. And so then you're going to keep looking at the scale and getting pissed off and, you know, and so and want to break the scale, right? And there's the same vein, you have to get really maniacal about tracking your food at least 90% of the time, right? Like if you're saying, oh, you know what, I eat clean five days a week, and the remaining two I eat whatever, that's still, that's not good, right? Because the whatever you eat will on the cheat days will overcompensate for all the hard

49:27 work you put for the five days out of the week. And the same thing with business, if you're not tracking the leading indicators, and so I see this in sales a lot, sales reps will come and say, oh, I'm going to close it, I'm going to close it. Well, no miracle deal is going to walk in the door the last week of the month or the last day of the month. But a lot of old school reps say, oh, you know, the last day of the month, the Hail Mary always comes through. Yeah, the customer doesn't care. The customer doesn't care. It's the end of your quarter. They're not buying on your timeline.

49:57 This whole like, spray and pray used to work in the past. But if you're not taking the actions, if you're not creating content, if you're not building thought leadership, if you're not at bats with enough leads during the week, then chances are you're not going to close. And so what that means is if you didn't do like say five demos a day, if five demos a day gets you to five clients a month, and you're doing like two demos a day, chances are you're not going to close those five clients a month, right. And so I think watching those leading indicators is really important.

50:33The LeanScale case study: building for himself

50:33 As we close out, I want to get into the lean scale case study, right, stemming from your advice from from your lawyer. A lot of people miss this is like you got to design the business to engineer love, right. And that love sort of creeps out as you add more and more people, the love of Anthony, how do you scale that Michelin star experience, right. And a lot of people, what they do is they start throwing technology and bodies at it. And they forget that it's all about the process. What is the ideal process that engineers for the customer love and wows the customer? What are maybe unnecessary steps? Remove that so the customer gets to the

51:15 delighted state as quickly as possible, then you tech enable it. So I want to I want to get your case study based on the advice your lawyer gave you is like, how did you start the business? How did you pick the micron niche? What are the things you did to build the brand and the company you are today? Yeah, happy to be an open book about this. And if you ask me a year from now, maybe some of my answers will change because I'm learning a lot every year. But I'll share where we're at today. So starting, it's a little bit different. So it's a services business, you know, we didn't have to

51:50 invest a lot of money upfront, just experience to get it going. And we started it on the side. So my co founder and he case a guy based in Brazil, he's been my number two at three companies. And him and I started this. And really what happened is very organic. After the email exit, there were about 200 people who worked at email. And after a year at Lexus Nexus, 100 of them left. And they all went to a bunch of different startups. And I ended up getting, you know, calls to go work at a lot of different places. And I was like, Nope, I'm dedicated here, but maybe I can help you on the

52:33 side. So eventually, the side hustle turned into the main hustle. And that was a very big inflection point for me personally, because at the same time, I had a family I wasn't, you know, I needed to make money, I couldn't, you know, just like, go move into my parents garage and start something. So I already had a daughter, I had another daughter on the way. And when we were making the decision, like, Hey, do we go full time, like, we need to make sure some revenue is coming in the door first. So we were pretty calculated about that. And we had like, we're not going full time unless it's

53:09Hiring fewer, better people; culture and integrity

53:09 bringing in this amount of revenue. And all of those early customers just came from my network and contacts. And then when it got to that inflection point, we made the decision and, and moved into it full time. So I think from there, you're absolutely right, you have to like scale your love, you have to scale your passion. And I think I even knew that walking into this, I had seen companies get built. And I still fell into two like, basic traps. One, I was thinking, Hey, I could probably train some really junior people to do this, and then scale it and keep the margin

53:48 really high. And, you know, I bet we could grow the company this way. And if I had money in the bank, I would have hired a bunch of people like that, and would have probably like, burned it to the ground. So I'm happy we didn't have any funding. Then I realized, I need to find people who are better at this than I am. Maybe they're not in a situation where they could start a company, maybe they didn't have some capital from an exit that they had, so they don't have as much comfort, but they're really, really good at what they do. They're amazing at what they do. And they can do

54:18 a better job than I could. So I had to go into like, how do I get fewer people, but better people than me? That was a big one. And then we had to get processed early, early on. So are we using the right systems? Are we tracking our time? Are we tracking the data? Do we know what it takes to manage an engagement? Do we know exactly when we need to hire someone? And like down to the penny, had to be hyper focused on our finances too. So every single dollar we made sure was exactly where we wanted to go, and made sure nothing went to waste. So that was a lot of it. And you have to,

54:57 culture is intentional. And it's something that you have to care for, especially as the founder, especially as a CEO, you're in that position, you are responsible for the culture, and you're responsible for the personality of the company. And people watch what you do. They watch the decisions you make. They watch how you react to somebody in a meeting. They watch how you react to a customer who's not being fair to you or being tough, or they watch how you react. They test your integrity. Hey, if there's an opportunity to like sneak some more money over here, should we? No,

55:31Hiring a salesperson too early (again)

55:31 never absolutely not. Integrity above all. So I think those things, I didn't know how much work maintaining the culture would be. And I didn't know, I knew how important hiring would be. But I didn't know to the level. And then I fell into the one that we talked about. I hired a salesperson way early. And I was like, how did I do this? I know this. I've seen this movie like three times. How did I make this same mistake? And that's exactly how I thought of it. I was like, I could hire this guy. And I think our service is pretty easy to sell. I'm going to have him go do

56:09 it. I'm going to empower him with everything. And then he's going to go make me a ton of money. No surprise. I'll skip to the ending. It didn't work like that. And not his fault. My fault. We had no brand. We had no marketing. We barely had a pitch deck. And I expected him to go make me millions of dollars. Like that's that's stupid. So that never works. You know, Anthony, it's funny. So I recorded my unicorn porn podcast series is a 10 episode making tongue in cheek on on Silicon Valley and unicorns, things I've learned over the years. Every piece of advice I gave out from past

56:44 mistakes, I feel like I made it again. And worse. And my wife was listening to it. And she's nodding her and she's like, what? She's like, you should just stop because all of those pieces of advice you gave out there were sound bites and clips. You made them again. I know. I know. So now I listen to my podcast a little bit more closely and make sure like, what am I saying? Maybe I should actually do what I tell other people to do. You know, it's it's funny because we've been used to working a certain way for a very long time. And although we know there are mistakes, we sort of

57:20 creep into this muscle memory of mistakes and we make them again. So you got to be very, very deliberate in training your mind and surrounding yourself with the right people so you don't make those mistakes again. It almost is like you have to feel like Neo in the matrix where you write down these past patterns, maybe their top 10 things that you consistently or made mistakes on or gotten bitten on or five and write them down. So like when you see the leading indicators of those happening or like stop like Neo in the matrix getting shot at, it's like dodging them.

58:00 And a lot of us don't put those leading indicators down. And my general theme has been the goal is not important if you don't understand the leading indicators and the inputs. And if you follow the leading indicators and the inputs, the score will take care of itself anyway. You may win some, you may lose some, but I think the leading indicators are more important. I do want to ask though, how did you land on this ideal customer profile? Well, mostly I built it for me. I wish it was the service I wish existed when I hopped into companies because I mentioned my co-founder Sakai, he did most of the technical build of anything.

58:44Landing on the ICP: the service he wished existed

58:44 And I dangerous, but not good enough to build things out in a scalable way. So I was like, what would I want? And how many Anthony and Ricos are out there? It seemed like a good enough market, like head of RevOps, series A, series B company, probably not enough to invest in a full like team or dedicated headcount. And the big, probably something that I was a little bit of an aha moment for me, when I was interviewing at boast, I interviewed with you and the interview with Alex, the founder CEO. And I remember saying like, Hey, you can bring me on and I can do all of these

59:23 things, but I still need to hire someone else so I can like actually put it to work. And I remember just feeling like that was super lame. And what if Sakai couldn't come with me? I was like, what would I have done? I would have put myself in a position where I literally couldn't do the full job. And I had no idea where I would go. So I wanted to make lean scale. If you're had a RevOps and you go into a place, we have all of our playbooks, we have engineers, we have tool recommendations. We're seeing this, you know, at 50 companies right now. So we can tell you what's

59:56 working, what's not working. And I just think that would have been the coolest thing that I could have engaged with when I was the head of RevOps. So that's how it started. Super, super commendable. And I like the advice there is you got to build it for yourself. Then you can engineer the love, right? You're more passionate about the problem. A lot of people, what happens is they don't love the problem. They don't love the customer. They're not like passionate or charged up, super motivated to fix it. They just see a dollar sign and then eventually they lose interest and they can't stick with it. A lot of success in life is just longevity and

1:00:35 just sticking with it for the long haul. And if you hate your customers, you hate the problem, you're just not going to stick around because as you scale, you're spending more and more time with customers, not less, right? Although you hire salespeople to close deals, eventually you become like a chief PR officer or chief community officer, right? You're spending time with customers, you're getting on calls, you're talking about the industry, about the technology. If you hate it, you don't love that space. You won't last long, right? You can't go by life

01:01:09Rapid fire

1:01:09 pretending. I want to spend the last few minutes here in rapid fire, right? Action in 60 seconds. What's your favorite cold email prompt that actually gets replies?

1:01:24 For us, it's a podcast invite. So for me, it's, hey, love your background. We run a podcast on RevOps. We think you'd be an absolute fire guest to have on the Lean Scale podcast. We'd love to book some time if you're interested. And for me, I'm giving them something of value. So I think give something because we can help them build thought leadership. We can help them do some stuff. So if you have something that's like giving first, that's best. I think that's how we grew the first 10 million revenue at Bose, right? We had no marketing team before you came on. It was all hosting events, community events, by bringing speakers,

1:02:05 speakers get value because they get an audience and our audience learn from the speakers that they would otherwise not see anywhere else and bring these top tier iconic speakers. And that helped us generate a lot of business. So it's a start of a relationship. Anytime you give and you keep giving the person on the other end starts to feel obligated. There's this law of reciprocity. So I like that most underrated GTM tool under a hundred dollars a month, under a hundred dollars a month. I was going to say ample market, but they're a little bit more than that. So I can't throw them in there. Riverside, I think Riverside, I think content's

1:02:42 got to be part of your strategy. Riverside gives you like a full suite to set up your podcast, set up everything you need to do. The editing is incredible. I'm pretty blown away with what it can do. And yeah, you can get a plan that's well under that. You know, what's funny is even if you can't find guests or you're too shy to cold email people, set up a podcast with yourself and just interview yourself or have a colleague interview you on Riverside and each podcast and you got a podcast interview. Of course you can chat GPT the script for it. That podcast interview could turn

1:03:17 into a sub stack blog post. It could turn into multiple LinkedIn posts. It could turn into multiple tweets. It could turn into multiple clips for Instagram and you now are everywhere and try doing that for 365 days and tell me if you didn't see an uplift, especially if you're on a channel where your customers are like LinkedIn. It also forces you to stay ahead and stay current. So you're making sure you're, you know, bringing things to the content that are actually worth listening to. One GTM process every startup should automate by next week. Performance to plan of all

1:04:00 your go to market bio biomarkers as we call them earlier. So you should be putting that out. It should be an email and auto slack. It should be keeping everybody fully visible on where every single health metric of the business is to plan. Biggest waste of time in GTM right now. Sending a million cold emails, a million cold LinkedIn outreaches. It's not even neutral. It's not negative. Everybody's spending a ton of time just blasting a million messages, not spending enough time on quality, and they're just ruining their brand in the process. 100%. And lastly, if you were running

1:04:43 GTM solo today, what would your dashboard include? Target accounts and my priority for which ones I'm going after and why. It would look at how many, how much pipeline I built, how many opportunities I've created. That's probably one of my favorite leading indicators. We're building genuine opportunities. And then close rate of those opportunities to one. And then to goal. So if I had a goal of X amount of pipeline, what is it hitting? How much have I converting from opening opportunity to closing it? We've definitely tweaked processes when we've seen that dip down.

01:05:21Close

1:05:21 Like, wow, we're not converting these. Something must be wrong or something seriously wrong with our sales motion because conversion rates have been garbage. So that's super important to me. And then just close one to goal. Are we closing enough to get there? Fantastic. Anthony, this has been a great, great conversation. I think we could go on for days, but we'll end it right here. Wishing you great success, my man. And I look forward to hanging out in Scottsdale with you. Thank you, Lloyd. Great seeing you, man. Appreciate the time and looking forward to that as well. Awesome.