Services
Marketing
Lead Scoring Optimization
Evaluate your lead scoring model against actual conversion data and rebuild it to predict real pipeline.
Intelligence
Lead scores don't correlate with real sales outcomes.
• High-scored leads that never convert clutter the pipeline.
• Low-scored leads that actually close get ignored.
• Sales doesn't trust marketing's scoring system.
• Scoring criteria were set up once and never validated.
• No data connecting score thresholds to win rates.
What we do
We validate your scoring model against real outcomes and rebuild it to reflect actual buyer behavior.
• Pull historical lead score vs. close rate data.
• Identify scoring criteria that don't predict revenue.
• Analyze behavioral, demographic, and firmographic signals.
• Rebuild scoring weights based on validated conversion patterns.
• Design A/B test plan to measure new model performance.
Deliverable
You receive a validated, data-backed lead scoring system.
• Lead scoring audit report with gap analysis.
• Rebuilt scoring model with validated criteria.
• Implementation guide with weight definitions.
• A/B test plan for rollout.
• Monitoring framework for ongoing score calibration.
Outcome
A scoring model that sales actually trusts because it predicts real pipeline.
• Higher conversion rates from scored leads.
• Sales-marketing alignment on lead quality definitions.
• More efficient rep time allocation.
• Data-backed MQL thresholds.
• Continuous improvement framework.
Best Fit
Best for companies with an existing lead scoring model that hasn't been validated against outcomes in 6+ months.
If sales regularly ignores marketing-qualified leads or if your top-scored leads don't correlate with closed deals, this service rebuilds scoring from real data instead of assumptions.