Tomi.ai, based in Sunnyvale, California, predicts purchase probability and 30 to 90 day lifetime value for website visitors and leads in real time, for B2B and B2C. The predictions are used two ways: to score inbound leads, and to send value-weighted conversion signals and audiences back to ad platforms so bidding optimises towards visitors likely to be worth the most rather than towards any click. It integrates with Meta and Google ads, CRMs and GA4 events, and describes predictive attribution as forward-looking ROI.
This addresses a real weakness of automated bidding: the platforms optimise towards whatever conversion event they are fed, and for long sales cycles, high-ticket products or offline closes that event is a poor proxy for revenue. Predicting value earlier and feeding it back is the right lever, and it is described specifically enough to test. The homepage promises at least 15% lower CAC on Meta and Google, and vendor case studies cite CAC reductions of up to 47%; the pricing page states no such guarantee, so get the conditions in writing and test against a holdout.
Pricing is published and high: Starter at $3,000 a month billed annually (up to 1 million site visits and $50,000 a month of ad spend), Professional at $5,000 (adding inbound lead scoring, GA4 event scoring, up to 20,000 leads a month and $150,000 of ad spend) and a custom Enterprise tier. That makes it a fit for teams with material ad budgets and long sales cycles. Customer logos on the site include Wrike, upGrad and Société Générale.
