Tomi provides a predictive AI platform that analyzes first-party behavioral and CRM data to forecast visitor propensity to buy and Lifetime Value (LTV). This intelligence is fed back into ad platforms to enable value-based bidding, precise audience targeting, and forward-looking marketing attribution. The system helps performance marketers reduce Customer Acquisition Cost (CAC) and increase Return on Ad Spend (ROAS) across major advertising channels.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many businesses struggle with high customer acquisition costs due to inefficient targeting and the inability to accurately predict customer lifetime value from initial website interactions. Traditional analytics often provide superficial data, making it difficult to identify high-potential leads and optimize ad spend effectively, especially for businesses with long sales cycles and significant offline components.
Solution
Tomi.ai offers a predictive AI platform that analyzes user behavior on websites and mobile apps, matching this data with sales and CRM funnel steps to predict both the propensity to buy and the 30-90 day customer lifetime value for each visitor in near real-time. By identifying behavioral patterns of high-value visitors, Tomi.ai enables businesses to create value-based audiences and optimize bidding strategies on advertising platforms like Meta and Google. The platform feeds these predictions back into ad platforms, CRM systems, and analytics tools, allowing for a shift from cost-per-lead (CPL) to target return on ad spend (ROAS) campaigns. This results in improved ad performance, reduced customer acquisition costs, and more effective allocation of marketing spend across demand-generating channels.
Target Audience
Tomi.ai primarily serves high-ticket e-commerce and lead generation businesses, including B2B SaaS, financial services, insurance, real estate, and education companies with narrow target audiences, large and variable transactions, significant offline components, and long sales cycles.
Features
- Analyzes user behavior on websites and mobile apps, going beyond standard Google/Adobe Analytics data.
- Matches website visits with sales and CRM data to identify patterns of high-value visitors.
- Predicts individual propensity to buy and 30-90 day LTV for all website visitors, including anonymous users.
- Creates value-based audiences for targeted advertising on platforms like Meta and Google.
- Enables optimization of bidding strategies using predictive conversions for target ROAS campaigns.
- Provides predictive lead scoring for prioritizing high-potential leads in CRM systems.
- Offers predictive attribution to understand the value of each touchpoint along the customer journey.
- Integrates with Google Cloud Platform for scalable and reliable predictive analytics.