AI-Powered ICP Analytics

We integrate with your CRM (for example, Salesforce) for opportunity and account data, and your marketing automation tools (for example, HubSpot, Pardot, Marketo) for engagement signals. We enrich with firmographic and technographic attributes to complete the view. Any additional data sources can be onboarded for more customized model through our data science professional services. 

Lead scoring tracks engagement signals. ICP Analytics measures fit and similarity, using models trained on your actual win/loss data rather than arbitrary point rules. It operates at the account level, aligning sales and marketing around a single, data-driven view of your ideal customer and fully operationalizing ICP intelligence across your go-to-market teams.

Each ICP model is back-tested against historical performance data to verify accuracy before deployment. The system compares predicted high-fit accounts against past wins and losses to confirm precision and lift, ensuring the model is both trusted and revenue-proven before it’s activated in your live sales and marketing workflows.

Yes. The model scores and tiers your TAL while revealing which accounts most closely resemble your happiest customers.

It is continuous. The Self-Learning ICP Model retrains automatically as new data is added. With our data science professional services we can further customize the model and add any additional data sources as well.

Scores, tiers, and similarity data are written directly into your CRM/Marketing automation platform as fields your teams already use.