Tomi

Tomi.ai is a predictive AI platform that optimizes customer acquisition funnels for high-ticket e-commerce and lead generation businesses. It analyzes user behavior, predicts buying propensity, and provides actionable insights to improve marketing efficiency through machine learning models.

Key features:
- Predictive Analytics: Analyzes user behavior on websites and mobile apps, matches website visits with sales and other funnel steps from CRM data, identifies behavioral patterns of high-value visitors, and predicts propensity to buy and 30-90 day lifetime value (LTV) for all website visitors and leads in near real-time.
- Targeting: Creates value-based audiences for look-alike targeting, provides bid modifiers for search ads, and enhances retargeting by focusing on high-value visitors to potentially triple Return on Ad Spend (ROAS).
- Optimization: Uses predictive lead scoring to optimize ad campaigns and feeds predictions back into ad platforms, CRM, and analytics tools to lower Customer Acquisition Cost (CAC) and increase revenue.
- Measurement: Offers forward-looking ROI measurement for every touchpoint and provides accurate value-based scores for campaign optimization and attribution.
- Insights: Delivers real-time predictive lead scoring and calculates probability to buy and expected LTV for each visitor.

How it works:
1. Install the Tomi.ai pixel on your website, which takes approximately 15 minutes.
2. Allow 2-6 weeks for data collection, depending on the sales cycle.
3. Machine learning model training requires 1-2 weeks, contingent on capturing 100 positive outcomes.

Integrations:
Google Ads, Meta (Facebook and Instagram), various CRM systems, Google Analytics

Use of AI:
Tomi.ai utilizes generative AI to create predictive models that forecast user behavior and LTV. These models are constructed on the Google Cloud Platform, enabling real-time calculations and updates.

Target users:
- B2B/SaaS companies
- Businesses targeting high-net-worth customer segments
- EdTech companies
- Banking institutions
- Real Estate firms
- Automotive businesses
- High-ticket e-commerce companies
- Lead generation businesses
- Companies with long sales cycles and significant offline components

How to access:
Tomi.ai is available as a web application, which serves as the primary interface for managing and analyzing data. An API is also provided to allow integration with other marketing and analytics tools.

Example Use Case:
A B2B SaaS company installs the Tomi.ai pixel on its website. Over several weeks, Tomi.ai collects data on user interactions and matches it with CRM sales data. Machine learning models identify patterns and predict which visitors are most likely to convert. These predictions are fed back into Google Ads and Meta platforms to optimize targeting and bidding strategies, resulting in lower CAC and higher ROAS.