Datadrew : AI Growth Analytics
AI Analytics on all your data: Retention, Ads, Products &...
Rating
5.0
feedback
29
chart
#1,266
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App Ranking
Time spent using app
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Reviews Summary
Datadrew Analytics: LTV & CAC is highly praised by ecommerce merchants for its transformative impact on Shopify stores. The app offers clean dashboards for monitoring ad performance, accurate LTV and CAC analysis, RFM customer segmentation, and AI-powered insights. Users appreciate the integration with popular platforms like GA4, Klaviyo, and Meta/Google Ads, as well as the time-saving automated reports. The app is described as easy to use, providing valuable insights for increasing profitability and making data-driven decisions. Positive themes include excellent customer support, clear analytics, and the app's ability to simplify complex reporting and analysis.
Highlights
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Feb. 10, 2026
Datadrew Analytics: LTV & CAC has completely transformed how I run my Shopify store. The clean dashboards make it effortless to monitor Facebook Ads and Google Ads performance, instantly showing me what campaigns to scale and which to pause, saving me from wasting budget on low-ROAS spend. The accurate LTV, CAC, and cohort analysis, plus RFM customer segmentation, let me spot high-value products and loyal segments that drive repeat purchases. AI-powered insights and industry benchmarking give me clear, actionable recommendations every week. Everything integrates smoothly with GA4, Klaviyo, and Meta/Google Ads, and automated reports save me hours. This app has made data-driven growth simple and profitable. Highly recommend to any serious merchant!
Sept. 10, 2025
Great value for money and great funder, super available with any question you might have. Definitely recommend it. Also no brainer in terms of pricing compared to all the other LTV apps! Very clear analytics (LTV and cohort analysis and customer repeat purchase rate). Can't wait to get AI integrated to get insight blazing fast
July 14, 2025
Great tool that's been easy to onboard and use. The LTV breakdowns per product and cohort is amazing. The team is very helpful as well. Highly recommend giving it a try!
July 2, 2025
Early days for us, but I am very impressed by supporting documentation which makes some very detailed reporting clear for me as an unsophisticated user.
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