Overview
Predictive intelligence for Microsoft’s SMB engine.
Microsoft chose Enlyft to power CloudAscent, giving its partners a clear view of their existing customers and their whitespace. Enlyft builds the CloudAscent propensity models using AI, machine learning, customer intelligence, and its proprietary database, trained on Microsoft’s own win and loss data to model the accounts most likely to buy Microsoft products and services.
Those models give the Microsoft SMB sales engine and its partners predictive intelligence to focus on the right accounts at the right time, and to activate the partner ecosystem at scale.
The challenge
Millions of accounts, one question: who’s ready?
Microsoft’s SMB opportunity spans more than 20 million accounts and a partner ecosystem of over 550,000 resellers. At that scale, the hard part is not finding accounts. It is knowing which ones are ready to buy, and getting that intelligence into the hands of every seller and partner working the market.
The solution
Enlyft is the intelligence engine behind CloudAscent.
CloudAscent runs on Enlyft. Enlyft builds and maintains the propensity models, scoring and prioritizing over 20 million SMB accounts, expanding to more than 25 million in 2025, from firmographics and real-time buying signals. It segments each account by readiness (Act Now, Evaluate, Nurture, Educate), so sellers and partners know exactly where to spend their time.
Enlyft enriches every account with Microsoft product usage across M365, Azure, Dynamics, and Security, surfacing upsell and expansion openings and the decision-makers behind each solution play. Enlyft refreshes the models quarterly as new win and loss data lands, so the intelligence stays current as the market shifts.
This is the engine Microsoft chose to run CloudAscent at ecosystem scale: more than 550,000 resellers, thousands of VDS sellers, and 20+ distributors. The partners and sellers who put Enlyft’s intelligence to work engage the right accounts more effectively.
