Case Study: DNN Corp. achieves 25% increase in lead-to-opportunity conversion with Ignite Technologies' Infer Predictive Scoring

DNN Uses Infer to Increase Lead to opportunity conversion By 25%

DNN Corp., steward of the DNN open source web CMS and application framework, faced difficulty identifying Marketing Qualified Leads and measuring lead quality across paid and social channels using Marketo’s basic points-based scoring. To adopt a more scientific approach, DNN chose Ignite Technologies’ Infer Predictive Scoring (fit and behavior models) to bring machine learning–driven lead scoring into its sales and marketing stack.

Ignite Technologies implemented Infer Predictive Scoring as an intelligence layer across DNN’s ecosystem (DNN Evoq, Marketo, Salesforce and Bizible) within a week, using historical data and external signals to rework MQL definitions and prioritize A/B leads. The result: a 25% increase in lead-to-opportunity conversions in the first month, an overall conversion rate of 4.36% with “A” leads converting at 11.27% (2.6x the average), clearer channel ROI, and higher-quality pipeline for sales.

DNN Corp.

Franck Ardourel

Director of Marketing