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E-Commerce Customer Analytics for Shopify

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E-Commerce Customer Analytics for Shopify

Releasing an app that we have been working on for the past few months - for shopify store owners. What does it do? Right now - you can see most of the store's analytics(stats, charts) + marketing campaigns data from Facebook, Google Ads, Mailchimp. The two unique features that are live right now - Customer Shift and Customer Segmenting. Customer Shift basically draws you a chart showing how many customers are being active/inactive after registration. Customer segmenting is a segmenting matrix that splits your store's customers into 11 segments like Big Spenders, New Big Spenders, Customers at Risk, etc. You can export both Customer Shift and Customer Segments data into a CSV which then you can plug into your other marketing channels. Also forgot about Success Metrics Cards - you can basically set a target metric for Sales/Orders/Customers and have that tracked throughout the duration of the goal If you are a Shopify Store owner - definitely sign up(https://app.shoppr.ai) and try it out - if you really like it after the trial, I'll give you 6 more months of free usage without any caps and priority customer support :) If you have any feedback/would like a demo - visit https://shoppr.ai/schedule-a-demo/ Also, general feedback on our Marketing website shoppr.ai is much appreciated - I hope to get as much feedback as I can possibly get, so go ahead and check us out.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, new · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, google · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active, shopify · Missing: arr, mrr, revenue
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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