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We build conversion prediction models from your website traffic, CRM data, and sales history. You get a scoring model that tells your sales and marketing teams which leads are most likely to buy — so they spend time on the right ones.
Sales teams treat every lead the same, or rely on simple rules (company size, job title) that miss the real buying signals. Marketing spends equally across audiences that convert at wildly different rates.
Share website analytics, CRM records, email engagement, and purchase history. The more signals, the more patterns we can find.
A purchase? A signup? A qualified lead? We align the model to the specific action your business cares about and the timeframe that matters.
Our team steers feature engineering while AI tests hundreds of model variations to find the signals that actually predict conversion in your data.
You get a lead scoring model with per-visitor or per-lead scores, the features driving each prediction, and integration guidance for your CRM or ad platform.
Send us a sample dataset. We'll show you what's predictable.
Book a call