Retina
What does it do?
- Customer Lifetime Value Prediction
- Churn Prevention
- Marketing Segmentation
- Customer Acquisition Optimization
- Revenue Forecasting
How is it used?
- 1. Connect data sources
- 2. Process data w/ AI
- 3. Access insights
- 4. Generate reports
- 5. Update predictions
Who is it good for?
- Marketing Teams
- E-Commerce Managers
- Data Analytics Professionals
- Financial Leaders
- Customer Retention Specialists
What does it cost?
- Pricing model : Unknown
Details & Features
-
Made By
Retina -
Released On
Retina AI is a comprehensive predictive customer insights platform that leverages artificial intelligence to help businesses optimize customer acquisition, retention, and lifetime value. This software provides advanced customer lifetime value (CLV) modeling and analytics to enable data-driven decision-making across various business functions.
Key features:
- Customer Lifetime Value (CLV) Modeling: Offers 90+% accurate predictions of future customer value and behavior, spend optimization for customer acquisition based on expected lifetime value, churn prediction and intervention for high-value customers, and accurate reporting and forecasting of customer base value.
- Marketing and Strategy Tools: Enables identification of high-value customer segments and journeys, analysis of product launches and features impacting customer retention, and creation of lookalike audiences for targeted marketing.
- Data Explorer: Provides fast analysis of customer segments, channels, and value-driving attributes, as well as a CLV Impact feature for understanding customer attributes affecting lifetime value.
- Reporting and APIs: Includes Quality of Customers Reports for executive-level CLV trend summaries and REST APIs for real-time access to customer CLV data.
- Integrations: Offers direct integration with data warehouses and existing tools, two-way data pipeline with platforms like Snowflake, and CLV measurement and optimization for platforms like Facebook.
How it works:
1. Users connect Retina AI to their data warehouse or other data sources.
2. The platform ingests and processes customer data using AI algorithms.
3. Users access insights through the platform's interface, which includes features like Data Explorer and CLV Impact.
4. Businesses can generate reports, access real-time data via APIs, and use insights to inform various business decisions.
5. The platform continuously updates predictions and insights as new data becomes available.
Integrations:
Data warehouses (e.g., Snowflake), marketing platforms (e.g., Facebook), customer data platforms, analytics tools
Use of AI:
Retina AI utilizes artificial intelligence for predictive analytics, particularly in CLV modeling. The platform employs machine learning algorithms to provide highly accurate predictions of customer behavior and value.
Target users:
- Data Analytics & BI Teams
- CFOs & Financial Leaders
- Marketing Teams
How to access:
Retina AI is available as a web-based platform with REST APIs for integration into other systems.
-
Supported ecosystemsFacebook, Meta
-
What does it do?Customer Lifetime Value Prediction, Churn Prevention, Marketing Segmentation, Customer Acquisition Optimization, Revenue Forecasting
-
Who is it good for?Marketing Teams, E-Commerce Managers, Data Analytics Professionals, Financial Leaders, Customer Retention Specialists
PRICING
Visit site| Pricing model: Unknown |