Problem
Lead volume was steadily increasing, but the sales team raised concerns about quality while marketing had no visibility into why leads weren't converting. The result was a structural disconnect in the revenue flow between the two teams.
There was no quantitative model for prioritizing leads by conversion likelihood. Funnel visibility was poor — no one could clearly see which channels or behaviors contributed to revenue. SQL conversion rates fluctuated, making forecasting unreliable. And nurturing was generic, with no alignment to buyer intent or stage.
Without standardized handoff criteria, high-potential leads were overlooked and low-quality ones consumed valuable sales resources.
Work
We approached this as a revenue architecture redesign, not a tool implementation. The goal was to connect marketing, sales, and revenue generation into a unified operating system built in HubSpot.
- Built a behavior-based lead scoring model — a quantitative framework for ranking leads by conversion likelihood using engagement and intent signals
- Defined lifecycle stage transitions with clear criteria and ownership rules agreed across marketing and sales
- Designed stage-specific nurturing scenarios aligned to buyer journey and intent level
- Configured pipeline and handoff automation — routing, notification, and task creation triggered by handoff criteria
- Set up reporting to give marketing visibility into downstream conversion outcomes
Result
- MQL-to-SQL conversion increased by up to 20%
- Sales time on low-quality leads reduced — teams focused on high-intent prospects
- Pipeline visibility gave marketing a clear line-of-sight to revenue outcomes
- Reduced CAC through more effective nurturing rather than increased paid acquisition
Why it matters
The root issue wasn't lead quality — it was the absence of a shared standard for what a good lead looks like and what happens next. Both teams were operating on their own definitions, which made handoff a point of friction rather than a smooth transfer.
By replacing subjective judgment with behavioral data and agreed qualification criteria, marketing and sales aligned around the same model. The downstream effect was predictable pipeline, not just more activity.