Our story I have spent the last 12 years of my career building e-commerce companies. As an IT guy, I know all the pains of working with data, investor reporting and business intelligence. It is still in most parts a manual job that eats a lot of time, requires highly skilled and expensive resources, and is error prone. These errors lead to wrong business decisions more often than they should. We developed RX as an in-house solution for one of my companies. When I saw the impact it had on our daily work and decisions, it was clear that we had to make a business out of it. 100k+ lines of code and 3 years later, RetentionX was born. We managed already over 60M+ transactions in our beta period. We are self-funded & bootstrapped to this point. What is it about? RetentionX is a software that provides you with the most advanced, but out-of-the-box data analysis that could only be done by months of manual work by a specialized data science team. Who needs RetentionX? Any transactional business (especially e-commerce) can benefit from our solution. It enables any business owner from day one to identify the key value drivers of their business, detect leaks and make better decisions as key metrics change. Is it just for Shopify user? No. We have developed RX to work with all kind of transactional data. Shopify is the first direct integration we offer. But any other store or business can still connect with us through our API or scheduled imports. Please feel free to contact me at [email protected] to discuss your setup. Hottest Features - 100+ built-in analyses - Segmentation - Prediction & Forecast - Email reports - Benchmarking - Anomaly detection - AI insights Famous Analyses - RFM Analysis - Cohort Analysis - Customer Lifetime Value Prediction - Churn Prediction - Cross-Selling Analysis - Order Gap Analysis - Return Prediction - and 100 more... Why is it 'AI'? We all know AI is a buzzword and misused everywhere, so let me touch on that briefly: RX uses a mix of machine learning and AI. We build and train models with hundreds of algorithms to find the best-fit exclusive for your business case. They are used to answer questions such as: - What will my net sales be at the end of the year? - Which items are likely to be returned? - Which customers are at risk of churn and how high is this risk? - How valuable is a specific new customer to my business in its lifetime?
