Case Study: Microsoft achieves 3-4x higher win rates, 30% larger deals, and $200M pipeline impact with Enlyft

Microsoft Cloud Sales – Accelerating Pipeline Velocity with Enlyft

Microsoft’s Cloud Sales Team at Microsoft struggled to predict which mid-market accounts—tens of thousands that looked similar on firmographics—would adopt its cloud offerings, limiting win rates, deal sizes, and lead qualification. After a vendor bake-off, Microsoft selected Enlyft to provide predictive sales and marketing models, leveraging Microsoft Azure services (Data Factory, ML Studio) to analyze large data sets and target accounts with higher buying propensity.

Enlyft built seven product-specific predictive models and ran control pilots across 10 regions; pilots consistently outperformed controls and prompted a global rollout. Enlyft’s solution enabled finer account micro-segmentation, more personalized sales messaging, and dynamic prioritization, accelerating pipeline velocity and delivering measurable impact: 3–4× higher win rates, 30% larger deal sizes, and about $200M in impacted pipeline across nine quarters of sustained improvement.

Microsoft

John Jenkins

Director of Business Strategy