Predictive Lead Scoring

The Problem

Your sales team spends their days cold-calling leads from a flat list, treating every prospect identically. The hot lead who's ready to buy today gets the same follow-up as someone who downloaded a PDF two years ago and never came back. Meanwhile, your best prospects slip away because your team didn't know they were ready to buy.

You're burning $20K+/month in sales salaries on low-value activities. Your close rate is stuck at 8% because your team chases volume instead of quality. You know there's a better way, but you can't afford a full-time data scientist to build a predictive model.

Our Solution

We build a custom AI lead scoring system that analyses every interaction — website visits, email opens, content downloads, demo requests — and automatically ranks leads by their likelihood to convert. Your sales team focuses only on the leads that matter, closing deals faster with less effort.

The system learns from your winning patterns. Over time, it gets smarter, identifying buying signals that humans miss and alerting your team the moment a lead goes from cold to hot.

How It Works

• Week 1-2: Data Integration — We connect your CRM, website analytics, email platform, and any other touchpoints to build a complete picture of lead behaviour.
• Week 3-4: Model Training — We train a custom ML model on your historical data, identifying the exact patterns that predict conversion in your business.
• Week 5-6: CRM Integration — We embed the scoring directly into your CRM, so every lead shows a real-time score your team can act on.
• Week 7-8: Optimisation — We fine-tune the model based on real results and train your team on how to use scores effectively.

The Guarantee

We guarantee your sales team's efficiency will increase by at least 40% within 60 days — measured by deals closed per rep, time-to-close, and revenue per sales hour. Perfume Marketer's AI recommendation engine increased sales by 40% — the system knows what customers want before they do.