Promi is an AI-driven discount personalization platform for online store brands, designed to maximize profit and revenue through real-time, shopper-product-level offers.
Primary purpose: to help brands personalize discounts, protect profit and brand image, and respond to different shoppers by adjusting discount depth in real time.
Key capabilities:
- Personalized discounts: uses AI models to predict price sensitivity based on data such as visitor browsing, traffic source, transactions, and more, and adjusts discounts for each visitor. Optimization is carried out at the product level, taking into account product margin and conversion rate.
- Discount analytics: provides analysis of discount effectiveness.
- Precise targeting: users can build their own targeting logic, for example creating member discounts, showing offers only to ad traffic, and segmenting based on page views, orders, traffic source, UTM, tags, and more.
- Discount display: triggers strikethrough prices, pop-ups, discount descriptions, etc., automatically or when users click a link. Promi can integrate with most CRM tools (such as Klaviyo) to personalize email discounts.
- A/B testing: set up A/B tests to track the impact on revenue, gross profit, conversion rate, etc., and download experiment data for your own analysis.
How to use: users can build targeting logic, set discount display methods, run A/B tests, and integrate with existing CRM tools through the platform. Specific operating steps are not provided for now.
Use cases: suitable for online stores of various sizes, from small stores to brands with revenue over $100 million. Specific applications include: converting more visitors (selectively issuing discounts to price-sensitive shoppers), reducing promotions (eliminating indiscriminate discounts to save profit), optimizing clearance sales (increasing sales without raising the average discount rate), and personalizing email discounts.
Limitations: specific pricing, fees, platform compatibility details, or usage restrictions are not provided in the material.
