Heap vs Salesforce Einstein

Heap and Salesforce Einstein both serve the analytics space, but they target different segments of the market and solve fundamentally different problems.

Heap: Capture every user event automatically — Heap eliminates manual tracking setup so you see the full behavioral picture without tagging each interaction.

Salesforce Einstein: Enterprise-grade predictive analytics embedded across the Salesforce ecosystem, built for organizations already committed to the platform.

In our 9-dimension evaluation, Heap scores 76/100 and Salesforce Einstein scores 7.8/100. Heap pulls ahead with stronger scores across strategic fit, reliability, and ROI dimensions.

Heap's key advantage: Capture every user event automatically — Heap eliminates manual tracking setup so you see the full b

Salesforce Einstein's key advantage: Native integration eliminates data pipeline complexity—predictions surface directly in Salesforce workflows without API dependencies or manual exports

Our take on Heap: The auto-capture is a game-changer for teams tired of tagging everything. Premium price but saves significant engineering time.

Choose Heap if your team focuses on growth teams, data & analytics workflows. Choose Salesforce Einstein if you prioritize enterprise organizations with mature salesforce deployments and dedicated data governance teams, b2b companies with complex, multi-stage sales cycles requiring predictive lead scoring.

Watch out: Heap — Newer entry — full review in progress. Salesforce Einstein — Predictive accuracy heavily dependent on data quality—fragmented lead sources, incomplete customer records, or inconsistent CRM hygiene produce unreli.