إدارة المرتجعات

Stop losing money to

scattered data

كل مرتجع بيخسرك EGP 80. اعرف ليه بتحصل.

Analytix بيحلل الـ RTO لكل مدينة، شركة شحن، منتج، وأوردر. اعرف الـ Pattern وقلل المرتجعات بـ 20%+.

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

الـ COD وحش، والمرتجعات بتاكل أرباحك

في مصر، 30% من أوردرات COD بترتجع. كل أوردر مرتجع = شحن مدفوع + منتج عائد + وقت ضايع.

↩️

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.

ليه أدوات الإيكوميرس التانية مش بتفهم المرتجعات

الأدوات الغربية مبتفهمش COD. مفيش حاجة اسمها مرتجع في America.

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.

Analytix: محرك تحليل المرتجعات للسوق المصري

اعرف الـ Pattern. غيّر الـ Process. وفّر فلوس.

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

Analytix Dashboard

Current Return Rate

14.2%

-3.1% vs last month

Monthly Return Cost

EGP 18,400

EGP 4,200 reduction achieved

High-Return Campaigns

flagged for immediate review

Top Return Reason

Size mismatch

41% of returns

AI Insight Example

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

AI Analyst Recommendation

“مدينة المنصورة عندها RTO 38% مع Aramex بس 14% مع Bosta. تحويل المنصورة لـ Bosta يوفّرلك 8K شهرياً.”

تحليل لـ 90 يوم من بيانات الـ COD وشركات الشحن لكل مدينة.

قلل المرتجعات. زوّد الربح.

Before Analytix

✕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 Analytix

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

Ecommerce brands

EGP B+

Revenue tracked

M+

Orders analyzed

Uptime

وقف نزيف المرتجعات

تجربة مجانية 14 يوم. شوف الـ RTO Patterns في يوم واحد.

Free 14-day trial · Setup in 5 minutes · Cancel anytime

Common Questions

Everything ecommerce founders ask about تقليل مرتجعات التجارة الإلكترونية

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, Analytix 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. Analytix shows you your rate vs. these benchmarks.

إدارة المرتجعات

Stop losing money to

scattered data

كل مرتجع بيخسرك EGP 80. اعرف ليه بتحصل.

Analytix بيحلل الـ RTO لكل مدينة، شركة شحن، منتج، وأوردر. اعرف الـ Pattern وقلل المرتجعات بـ 20%+.

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

500+Ecommerce brands

EGP 2.3B+Revenue tracked

1.2M+Orders analyzed

98.7%Uptime

الـ COD وحش، والمرتجعات بتاكل أرباحك

في مصر، 30% من أوردرات COD بترتجع. كل أوردر مرتجع = شحن مدفوع + منتج عائد + وقت ضايع.

↩️

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.

ليه أدوات الإيكوميرس التانية مش بتفهم المرتجعات

الأدوات الغربية مبتفهمش COD. مفيش حاجة اسمها مرتجع في America.

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.

Analytix: محرك تحليل المرتجعات للسوق المصري

اعرف الـ Pattern. غيّر الـ Process. وفّر فلوس.

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

Analytix Dashboard

Current Return Rate

14.2%

-3.1% vs last month

Monthly Return Cost

EGP 18,400

EGP 4,200 reduction achieved

High-Return Campaigns

flagged for immediate review

Top Return Reason

Size mismatch

41% of returns

AI Insight Example

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

AI Analyst Recommendation

“مدينة المنصورة عندها RTO 38% مع Aramex بس 14% مع Bosta. تحويل المنصورة لـ Bosta يوفّرلك 8K شهرياً.”

تحليل لـ 90 يوم من بيانات الـ COD وشركات الشحن لكل مدينة.

قلل المرتجعات. زوّد الربح.

Before Analytix

✕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 Analytix

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

Ecommerce brands

EGP B+

Revenue tracked

M+

Orders analyzed

Uptime

وقف نزيف المرتجعات

تجربة مجانية 14 يوم. شوف الـ RTO Patterns في يوم واحد.

Free 14-day trial · Setup in 5 minutes · Cancel anytime

Common Questions

Everything ecommerce founders ask about تقليل مرتجعات التجارة الإلكترونية

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, Analytix 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. Analytix shows you your rate vs. these benchmarks.