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Tomi.ai
Categories: Marketing & Ads, Business & Sales, Data Analysis |
Pricing: From $3000/month |
Official Website ↗
Tomi.ai uses predictive AI and first-party data to optimize marketing campaigns, improve lead scoring, and measure ROI for high-ticket businesses.
Tomi.ai is a predictive marketing platform designed for high-ticket e-commerce and lead generation businesses. It analyzes user behavior on websites and mobile apps, matching visits with CRM sales data to identify patterns of high-value visitors. The platform's machine learning models predict a visitor's propensity to buy and their 30-90 day Customer Lifetime Value (LTV) in near real-time, even for anonymous users.
These predictions are then fed back into advertising platforms, CRMs, and analytics tools to enable value-based targeting, bidding optimization, and forward-looking ROI measurement. Tomi.ai aims to reduce Customer Acquisition Cost (CAC) and increase Return on Ad Spend (ROAS) by focusing marketing efforts on the most promising leads and customers. It supports various marketing functions including audience creation, predictive conversions for bidding strategies, and real-time lead scoring.
Key Features
- Website visitor scoring
- Predictive conversions for value-based bidding
- Predictive retargeting and lookalikes
- Inbound lead scoring
- Predictive attribution
- Advanced analytics and A/B testing
- Server-side conversion tracking
- Custom ML models and integrations (Enterprise)
Pros
- Guaranteed at least 15% lower CAC on Meta & Google
- Provides accurate value-based scores for ad campaign optimization
- Offers forward-looking attribution and ROI measurement
- Helps prioritize high-potential leads for sales teams
- Quick implementation with first results in 2-3 months
Cons
- No free trial available
- High starting price may not be suitable for small businesses
- Requires significant website traffic and ad spend for optimal benefits
- Implementation requires data collection period (2-6 weeks)
- Does not offer managed marketing services
Use Cases
- Optimizing ad spend on Meta, Google, and LinkedIn
- Improving ROAS and reducing CAC
- Scoring website visitors and leads in real-time
- Creating value-based audiences for advertising platforms
- Switching performance campaigns from CPL to Target ROAS
- Measuring incremental value of marketing touchpoints
Best For
- High-ticket e-commerce businesses
- Lead generation businesses
- Businesses with narrow target audiences (B2B/SaaS, affluent customers)
- Companies with large and variable transactions
- Businesses with a significant offline sales component
- Companies with long sales cycles
Integrations: Meta (Marketing API), Google (Ads), LinkedIn (Ads), CRM (unspecified), Google Analytics 4 (GA4)
Platforms: Web
Watch demo on YouTube ↗
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