27% improvement in close rate with AI-scored leads
A B2B SaaS company's sales team was treating all leads equally, wasting time on low-intent prospects while high-value opportunities slipped through. We built an intelligent scoring and routing system.
higher close rate
faster lead response
to production
The Challenge
Sales reps spent 40% of their time on leads that never converted. High-intent signals from the product (feature usage, pricing page visits) weren't reaching the sales team.
Our Approach
- 01
Diagnosed: Analyzed 12 months of CRM data to identify conversion predictors.
- 02
Scoped: A lead scoring model fed by product analytics, website behavior, and firmographics.
- 03
Built: Real-time scoring pipeline with Slack alerts for hot leads and CRM auto-enrichment.
- 04
Verified: Backtested the model against historical deals — correctly identified 89% of closed-won.
- 05
Shipped: Integrated with existing HubSpot workflow. No change to rep daily routine.
The Outcome
Close rate improved from 18% to 23%. Average time-to-first-contact for hot leads dropped from 6 hours to 45 minutes. Pipeline accuracy improved enough to make quarterly forecasts reliable.
“Our reps finally know who to call first. Revenue per rep is up and the team is less burned out.”
VP of Sales
B2B SaaS, 50 employees