Returns Reduction Intelligence

Stop losing money to

scattered data

Every Return Costs You 3x. Here's How to Stop Them.

Analify identifies exactly why returns happen — by product, region, campaign, and size — so you can fix the root cause and stop the profit bleed.

Analify Dashboard

Real metrics, real time — no more spreadsheet guessing

LIVE

Return pressure

14.2%

-3.1% vs last month

size mismatch41%

late delivery28%

changed mind19%

Campaigns to review

alert

Maxi Dress38%

size issue

Oversize Tee24%

refund pressure

One Size Set24%

refund pressure

Powering profit tracking for top brands

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

Shopify

Meta Ads

Google Ads

TikTok Ads

Bosta

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.

Shopify Returns — Logs return requests but no analytics, no root cause analysis, no campaign attribution.

Carrier Return Reports — Shows returned shipments. No reason codes, no product analysis, no cost impact.

Customer Service Data — Return reasons captured inconsistently in WhatsApp or email. Not analyzable at scale.

Manual Analysis — You can analyze returns manually — for last month. Doing it continuously is impossible.

The Analify Moat

How We Compare

Why general platforms and spreadsheets fall short for Egyptian DTC operators.

Capability	Shopify	Meta Ads	Spreadsheets	Analify
True profit after every cost
Cross-platform ad attribution
COD & RTO tracking
AI alerts before problems cost you
Arabic + RTL, built for MENA

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

Analify Dashboard

Real metrics, real time — no more spreadsheet guessing

LIVE

Return pressure

14.2%

-3.1% vs last month

size mismatch41%

late delivery28%

changed mind19%

Campaigns to review

alert

Maxi Dress38%

size issue

Oversize Tee24%

refund pressure

One Size Set24%

refund pressure

AI Insight Example

Analify doesn't just show data — it tells you what to do

AI Analyst Recommendation

“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

Before Analify

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

After Analify

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
Bring the return rate down step by step, with numbers you can check

Powering profit tracking for top brands

Ecommerce brands

EGP B+

Revenue tracked

M+

Orders analyzed

Uptime

Common Questions

Everything ecommerce founders ask about reduce ecommerce returns

Through three sources: (1) carrier return reason codes, (2) customer-reported reasons in your return flow, and (3) AI pattern matching that infers reasons from product-campaign-customer data correlations.

Yes. Returns are tracked at the SKU level — size, color, and other variants — so you can identify exactly which variants have problems.

Every return's full cost (ad attribution + shipping both ways + COD fee + handling) is deducted from campaign and product profit calculations.

Yes. Based on historical behavior, Analify can flag customers with high return propensity, allowing you to adjust targeting or show different products.

For Egyptian fashion ecommerce, 10-18% is typical. Below 10% is excellent. Above 20% indicates systematic product or targeting issues. Analify shows you your rate vs. these benchmarks.

Start Reducing Returns With Data

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