Returns Are Your Biggest Hidden Cost. You Can't Reduce What You Don't Understand.
Returns cost more than you think and you have no data to fix them:
Returns Cost More Than You Think
A returned order costs: original ad spend to acquire + shipping both ways + COD fee lost + product handling. One return can wipe out the profit from 3-5 other orders.
You Don't Know Why Returns Happen
Your carrier says 'customer refused.' But is it the product quality? The photos not matching? Size issues? The ad targeting the wrong audience? You have no idea.
You're Running High-Return Campaigns Without Knowing It
Some Facebook or TikTok campaigns drive orders with 25-30% return rates. You keep scaling these campaigns because ROAS looks good — without knowing they're your most unprofitable traffic source.
Why Returns Remain a Mystery for Most Ecommerce Owners
Returns data is scattered, delayed, and context-free.
Returns Intelligence That Actually Reduces Returns
Understand returns. Predict them. Prevent them.
Return Root Cause Analysis
Every return tagged by reason (size, quality, late delivery, changed mind) and correlated with product, campaign, creative, region, and customer cohort.
High-Return Campaign Detection
Campaigns with above-average return rates are flagged automatically. Stop scaling traffic that looks good in ROAS but has 25%+ return rates.
Return Rate Prediction
The AI predicts which product-campaign combinations are likely to have high returns based on historical patterns — before you've spent the budget.
See It In Action
Real metrics, real time — no more spreadsheet guessing
AI Insight Example
Analytix doesn't just show data — it tells you what to do
“Product 'Maxi Dress - One Size' has a 38% return rate, double the store average. 74% of returns are 'size too small.' The product description says 'fits all sizes' but reviews mention it runs small. Recommend: (1) Update description with specific measurements, (2) Pause ads targeting new customers until fixed. Estimated monthly saving: EGP 6,800.”
Analysis of 847 returns over 90 days, correlated with product, campaign, and review data.
From High Returns to Systematic Return Reduction
- ✕High return rate but no idea why it's happening
- ✕Scaling high-ROAS campaigns that have 25%+ return rates
- ✕No early warning on products or campaigns with return spikes
- ✕Absorbing return costs without understanding root cause
- Know exactly why each product's return rate is high
- Catch high-return campaigns before they waste significant budget
- AI predicts return risk on new campaign-product combinations
- Systematic reduction of return rate through data-driven action
Trusted by ecommerce brands across Egypt
Common Questions
Everything ecommerce founders ask about reduce ecommerce returns