Implement Predictive Lead Scoring That Works
Most lead scoring models are built on guesswork (or worse, ignored altogether).
Maybe you’ve cobbled together a basic point system in your MAP. Maybe Sales doesn’t trust the scores. Maybe your “hot” leads never convert. Or maybe your team gave up trying to fix it after too many failed attempts.
- Here’s the reality:
- Manual scoring is subjective and inconsistent
- Static rules miss fast-changing buyer behavior
- Without predictive signals, you miss your best opportunities
- Sales doesn’t follow up on low-confidence scores
- You’re investing in pipeline that never materializes
Without a reliable model, your entire funnel suffers, from poor conversion rates to wasted campaign spend.
What You Get
Predictive scoring model built on real conversion patterns
Automatic score updates based on behavior and firmographics
Better alignment with Sales on what qualifies as “ready”
Increased speed-to-lead and fewer missed handoffs
Clear reporting on what attributes and behaviors correlate with pipeline
What We Do
We implement predictive lead scoring that actually reflects buyer intent and gets Sales to act.
Our team plugs in to:
✔ Audit your current scoring logic, data flows, and platform capabilities
✔ Integrate behavioral, firmographic, and third-party intent data
✔ Apply machine learning to identify patterns among leads that convert
✔ Calibrate scoring thresholds with Sales feedback
✔ Automate score updates across your systems (MAP, CRM, enrichment tools)
You get a scoring model that’s rooted in data, not guesses, and tuned to how your buyers actually behave.