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How B2B Marketers Use Predictive Lead Scoring to Boost Conversion by 300 Percent
Description
Episode 12 of B2B Marketing with Fexingo dives into predictive lead scoring. Lucas and Luna unpack how one enterprise SaaS company used machine learning models to prioritize leads, boosting conversion rates by over 300 percent while cutting sales team wasted effort. They walk through the specific data points—firmographics, intent signals, past purchase behavior—that fed the model, how the marketing ops team validated predictions against actual closed-won revenue, and the common pitfalls like overfitting on historical data that can kill model accuracy. If you are a B2B marketer tired of sales ignoring your leads, this episode gives you a concrete framework to build your own scoring engine. Plus: why the best models get retrained quarterly, not annually.