Customer story · Attribution & Lead Lifecycle

One campaign per lead source: rebuilding attribution and MQL scoring across a split stack

Marketing and sales reporting was split across HubSpot and Salesforce with no consistent campaign taxonomy and tens of thousands of duplicate company records. LeanScale rebuilt campaign attribution and MQL scoring across both systems, cleared the duplicates, and wired services-delivery data into revenue reporting.

ProofWhat happened on a real engagement.
Marketing & Sales TechnologySector
Growth-stageStage
3–6 monthsDuration
2Min read

Anonymized. The company is described by sector and stage only — no customer is named, and quotes are attributed by role.

#The challenge

Go-to-market reporting was fragmented across a marketing automation platform and the CRM. Campaigns were created inconsistently, so lead source could not be trusted; MQL definitions differed between the two systems, so the same lead could be qualified in one and not the other; and the marketing database carried roughly 60,000 duplicate company records, which made any account-level rollup meaningless. Leadership was making spend decisions off numbers nobody could defend.

#The approach

One campaign per lead source

Rebuilt the campaign taxonomy so every lead source maps to exactly one campaign, with bucketing by business unit and channel. That single rule is what makes source reporting roll up cleanly instead of fragmenting across near-duplicate campaign records.

MQL scoring reconciled across both systems

Rebuilt MQL scoring so the marketing platform and the CRM qualify a lead the same way, ending the arguments about which system was right.

Duplicate company cleanup by reimport, not merge

Cleared roughly 60,000 duplicate company records in the marketing platform with a delete-and-reimport from the CRM system of record, rather than an in-place merge that would have preserved the bad associations.

Services delivery wired into revenue reporting

Connected the professional-services automation platform (Rocket Lane) into reporting for services hours and revenue per hour, alongside recurring-revenue roll-ups, so services delivery shows up in the revenue picture instead of sitting in its own tool.

#Outcomes

Campaign taxonomy rebuilt

A one-campaign-per-lead-source taxonomy with business-unit and channel bucketing replaced inconsistent campaign creation.

Duplicate company records cleared

Roughly 60,000 duplicate company records were cleared via delete-and-reimport from the CRM system of record.

MQL scoring reconciled

MQL scoring was rebuilt to be consistent across the marketing platform and the CRM.

Services hours and revenue-per-hour reporting wired

Professional-services delivery data was connected into revenue reporting alongside recurring-revenue roll-ups.

Partly in flight at review

Several components — the attribution backfill and the company reimport among them — were still in progress at the end of the review window, so this is a build in motion rather than a closed project.

In their words

What the customer said

“I can't wait for the new way we can run our company with these new programs and metrics!”
“This is great. I think we're in good shape.”
The method behind it

This ran the Attribution playbook

The delivery standard this engagement followed.

Connected

In the knowledge graph

Every entity below has its own page, aggregating what we measured, what we recommend and what guests said.

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