Why orders come back in Egypt, and how to reduce returns (RTO)

A store sees a campaign bringing in lots of orders cheaply, gets excited about it, and at the end of the month finds the money doesn't match what Ads Manager says. Usually the campaign isn't the reason. The reason is that half of those orders came back.

Returns, or RTO, meaning an order that gets refused or comes back without being received and paid for, aren't bad luck. They're a leak at a known point in the funnel, and you can control them much more than you think.

The order isn't the end of the story

On cash on delivery, the order is only the beginning. As we explained in COD and why it changes all your numbers, between "placed an order" and "received and paid" there's a whole journey: confirmation, preparation, shipping, a delivery attempt. Any point on that journey can fail.

The problem is that most store owners measure a campaign's success only at the moment of the order. They look at "number of orders" and "cost per order" in Ads Manager, and that number lies if a large share of those orders won't arrive. The number that tells the truth is delivery rate: how many of the registered orders actually arrived and got paid for.

Why orders come back

The common reasons aren't mysterious, and they all repeat in any COD store:

The customer doesn't answer the phone. An order was registered with a name and number, and the shipment went out with no one confirming it. That's the most frequent reason, and the easiest to fix.

The address is incomplete or wrong. "Nasr City, next to the mosque" isn't an address you can ship to. The courier wastes time and effort and ends up sending the shipment back.

The customer isn't there at delivery. The shipment goes out on a certain date, and if no one receives it, it comes back, even if the customer really did intend to buy.

The customer changed their mind. Two or three days can pass between the click and delivery, and the decision they were excited about when they saw the ad cools off.

The product is different from what the courier or the page said. If the landing page exaggerated the promise, the customer refuses delivery as soon as they see the product in front of them.

The order was fragile from the start. An audience that clicks the ad with no real intent to buy (curiosity, or a competitor watching) creates orders that register easily and come back easily. That brings us to an important point: targeting quality affects the return rate as well as the cost per click.

A vague or long form. If the address field has no clear breakdown (governorate, area, details), or the form asks more questions than needed, the chance of wrong data goes up, and the courier ends up looking for an incomplete address.

Notice that these reasons split into two parts: half come down to the customer's own behavior (not there, changed their mind), and the other half come down to things you fully control (confirmation, form accuracy, a clear landing page). The second part is where you should focus, because it doesn't need extra ad spend. It needs a change in the process.

The number that proves this can be solved

In the fashion brand case that reached 44 million EGP in 9 months, what made the big continued spend (4.3 million EGP in ads) possible at all wasn't the media buying. It was a private shipping company that raised the delivery rate to 75%. That means out of every 4 orders, 3 actually arrive and turn into money.

This difference is no small detail. If your delivery rate is 50% instead of 75%, you're effectively paying double the ad cost you should be, because half the spend goes to orders that will come back. As we explained in I get orders and I'm losing money, your break-even is calculated on the order that arrived, not the one that was registered.

How to actually reduce returns

No single button solves the problem, but there are four levers under your direct control.

1. Faster, more accurate confirmation before shipping

A shipment confirmed by a call or message before it ships has a much better chance of arriving than one shipped on hope. Confirmation isn't a bureaucratic step. It's a filter that removes orders that were going to come back anyway (a customer who won't answer, an incomplete address, a duplicate order) before you pay shipping both ways on them.

2. A shorter form and funnel from the start

The clearer the form and the more accurate the requested data (number, detailed address, correct area), the lower the chance of a delivery error. In the no-cart store case and the article on the right COD architecture, simplifying the funnel cut lost orders by 21.7%. That's a different thing from returns (those are orders lost before they even register), but the same logic applies: every extra bit of friction loses orders or brings in wrong data.

3. A landing page that answers every question before the customer buys

If the customer buys while sure of the product (they saw it, understood what it does, saw real reviews), the chance they refuse delivery is much lower than for a customer who bought on an exaggerated promise. The details are in the landing page that converts.

4. A good shipping partner, not just a cheap one

The difference between one shipping company and another can be a completely different delivery rate, as the fashion brand case showed. The lowest shipping price isn't always the lowest actual cost. If its return rate is higher, you pay the difference in shipping both ways for nothing.

5. Ad targeting that brings real buying intent

A good media buyer doesn't only lower the cost per click. They lower the share of fragile orders that come back from the start. If you aren't sure how to evaluate that work, read the difference between a media buyer and a performance marketer and how to choose a media buyer.

How to calculate your delivery rate

The calculation is simple and needs no complicated tool: delivery rate = orders that arrived and got paid for ÷ total orders shipped, in the same period. The period is what matters, because an order shipped this week may only show its result two weeks later. If you look at orders shipped yesterday and calculate a delivery rate on them today, the number will be wrong because some of them are still on the way.

Do this calculation at least monthly, and keep it separate from the "orders" number you see in Ads Manager. If the gap between the two numbers is big, meaning the return rate is high, that's the first sign you're spending on campaigns that look good and are actually losing.

Measure delivery rate like any core number

Delivery rate has to be a number you track every week, not one you discover at the end of the month when you close the shipping accounts. Tie it to your break-even calculation on the real profit calculator, and compare yourself with market rates in the ecommerce benchmarks for Egypt and the Gulf to know where you stand.

If the campaign brings cheap orders and returns are high, the answer isn't always stopping the campaign. Sometimes the answer is in operations and not in the ad, as we discussed in why raising the budget isn't always the answer.

Summary

Returns aren't a number you accept as a fact of life. They're a leak in a process where you control most of the points: confirmation, the form, the landing page, the shipping partner and targeting quality. Each of these you improve moves the delivery rate, and your break-even moves with it, without spending one extra pound on ads.

The question to ask yourself isn't "did this campaign bring lots of orders?" It's "how many of these orders will actually arrive?" The difference between those two questions is the difference between a store that grows and a store that spends on an illusion.

This is part of my work as a Performance Marketer and Media Buyer in the Egyptian and Gulf markets. Details of the work are here and the results, with their numbers, are in the case studies.