From $8.5K to $56.5K: Fixing Broken CRM Attribution.
How we corrected six months of corrupted HubSpot data to reveal $48K in misattributed revenue — and gave a legal marketing team a dashboard they could actually trust.

The Problem
The firm was spending heavily on paid search and social — but couldn't tie a single dollar of spend back to closed revenue. Bulk owner reassignments had silently corrupted HubSpot's native response-time field, making the pipeline look broken when it wasn't.
Leadership was making budget decisions based on a dashboard that showed $8.5K in PPC-attributed revenue and 129 untouched open leads. Both numbers were wrong — and more damaging than no data at all.
What We Built
We rebuilt the customer journey analytics from the ground up, starting from won deals and working backward. That meant correcting PPC attribution to include all associated contacts, every won-stage variant, and every touchpoint the native HubSpot reports were missing.
Where the API hit its limits, we ran a time-to-first-touch analysis on the Lead object via CSV export — then reconciled the results against live pipeline data to separate genuinely stalled leads from noise.
“We thought paid search wasn't working. Turns out we just couldn't see it working. The corrected numbers changed every conversation we were having about budget.”
The System Architecture
HubSpot CRM audit and rebuild. Attribution correction via deal-object analysis, contact association reconciliation, and CSV-based time-to-first-touch methodology. Custom dashboard properties for ongoing response-time tracking.
The Results
Corrected PPC revenue attribution jumped from $8.5K to $56.5K across 8 deals. The 129 'untouched' leads collapsed to 15 genuine cases. Leadership had a trustworthy view of which channels were actually closing clients — for the first time.
Within 30 days of the corrected dashboard going live, the firm increased PPC spend on the channels the data now proved were working.