Tomi

Summary

Tomi.ai is a predictive AI marketing platform built for long-cycle, high-ticket businesses (real estate, finance, edtech, SaaS). It uses machine learning to predict visitor purchase propensity and LTV, optimizing ad spend to lower CAC and boost ROAS.

What is Tomi.ai?

Tomi.ai analyzes user behavior on your website and mobile app, matches visits with CRM sales data, and runs machine learning models to predict purchase propensity and 30-90 day LTV for every visitor (even anonymous ones) in real time. The platform feeds predictions back to Meta, Google, LinkedIn, and your CRM, enabling value-based audience targeting, predictive conversion optimization, forward-looking attribution, and B2B/B2C lead scoring. Marketing teams can focus ad spend on high-value visitors and align with sales on lead quality.

Core Capabilities

• Real-time predictive scoring: Calculate purchase probability and expected LTV for all website visitors, including anonymous ones
• Value-based audiences: Create high-value retargeting audiences, seed audiences for lookalikes, and bid modifiers for search ads
• Predictive conversion events: Supply real-time predictive conversions to enable Target ROAS and Max Value bidding strategies
• Forward-looking attribution: Track incremental revenue contribution of each touchpoint before the sale happens
• Lead scoring: Deliver predictive scores to your CRM within 10 minutes to help sales prioritize high-potential leads
• Integrations with Meta, Google, LinkedIn: Auto-sync audiences and conversion data via Marketing API

Pros

• Guarantees at least 15% lower CAC on Meta and Google ads (US patent technology)
• High prediction accuracy, with mature cohorts showing revenue forecast error within 20%
• Fast deployment: see results in 2-3 months, pixel installation takes 15 minutes
• Handles long sales cycles and offline conversions, solving for insufficient deep-funnel events
• Proactive customer success team provides expert support and A/B testing guidance

Cons

• Requires 2-6 weeks of data collection and at least 100 positive outcomes to train models
• Best suited for high-ticket, long-cycle businesses; limited value for low-price, fast-moving goods
• Prediction quality depends on website traffic and CRM data quality; insufficient data impacts results
• Pricing and implementation details not public; requires contacting sales
• Early-stage setup demands technical integration and cross-team collaboration (marketing, sales, IT)

Decision Guidance

Use Tomi.ai if: You run a real estate, financial services, edtech, B2B SaaS, insurance, or high-ticket e-commerce business with long sales cycles (weeks to months), significant offline conversions, and you want predictive AI to lower CAC, boost ROAS, and align marketing and sales teams on lead quality.

Consider alternatives if: You sell low-price, fast-moving products, have short sales cycles (hours to days), lack sufficient website traffic or conversions to train machine learning models, or need a plug-and-play self-service tool instead of a platform requiring expert team support.