AI Lead Scoring

AI Lead Scoring empowers your sales team to focus on what matters most — high-converting leads. By leveraging firmographic data, buyer intent signals, and historical win/loss data, this app predicts each inbound lead’s likelihood to convert and routes them accordingly. Eliminate guesswork, boost velocity, and align reps around leads that close.

What is AI Lead Scoring?

This app applies a predictive scoring engine that evaluates inbound leads based on:

• Firmographics (industry, company size, location)
• Intent signals (page visits, downloads, behavior)
• Historical conversion data (past wins/losses)

Every lead is automatically scored in real-time and categorized by conversion potential — enabling fast, accurate follow-up and smarter pipeline allocation.

Why use this app?

• 🔥 Improve Win Rates
  Reps spend more time on the 20% of leads that generate 80% of your revenue, dramatically increasing close rates.

• ⚡️ Accelerate Response Time
  Real-time scoring slashes your speed-to-lead, ensuring hot prospects don’t go cold.

• 📊 Remove Bias
  No more gut-feel or subjective prioritization — every lead gets a transparent, explainable score driven by real data.

• 🧭 Smart Segmentation
  Automatically route low-scoring leads into nurture tracks and high-value ones to the right reps based on MQL/SQL thresholds.

How it works

1. Input your criteria
   Define which scoring factors matter most: intent, firmographics, historical trends.

2. Set your thresholds
   Decide what qualifies as an MQL or SQL (e.g., 80+ = SQL).

3. Score and route
   The model evaluates and assigns scores instantly — with priority recommendations and justifications.

What you'll need to provide

To calibrate scoring effectively, provide the following:

• Scoring Criteria (e.g., industry, employee size, deal size, region, behavior)
• Historical Data (won/lost deals to train the scoring model)
• Thresholds (score boundaries for MQL/SQL/nurture)

Who it's for

• B2B revenue teams using inbound channels
• SDR/BDR managers looking to optimize lead flow
• Demand gen marketers wanting better alignment with sales
• RevOps teams building automated scoring workflows