Protect your ecommerce with Adefence

Bring margins, returns, and cancellations into your campaign signals for bidding closer to net value.

Gross ROAS does not tell the whole story

A sale recorded by campaigns does not always equal value acquired. Returns, cancellations, refunds, chargebacks, and low margins can turn a seemingly positive order into an unprofitable result.

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From order to real outcome

Order recorded
Confirmed
Returned or canceled
Low margin
Value retained

Guide your campaigns toward the real goal: NetROAS

NetROAS measures advertising return on net value, not gross revenue. Adefence helps your ecommerce campaigns distinguish orders that inflate ROAS from those that generate real profit.

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From ROAS to net value

Gross ROAS
Hang on.StoriesCosts
NetROAS

Invalid traffic does not stop at the click

Invalid traffic can generate orders, test stolen cards, and fuel fraud such as refund abuse, switch fraud, and chargebacks. Adefence detects these patterns before they become a cost to your ecommerce business.

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The path of advertising traffic

Ad click
Traffic analysis
Stolen cards
Refund abuse
Chargeback

Average ROAS can hide loss-making products

A campaign can reach its overall target even if part of the budget goes to unprofitable products. With Adefence, you can move beyond this limit with a NetROAS approach and obtain more accurate data for segmenting your products.

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Beyond campaign averages

Average ROAS
Profitable products
Low-margin products
More accurate segmentation

Questions and answers

FAQ section
Why is gross ROAS not enough to evaluate ecommerce campaigns?

Gross ROAS counts the value of each order as recorded at purchase without looking at what happens afterward. But an order can be returned, canceled, refunded, or even disputed through a chargeback, or have such a low margin that it generates almost no profit. If campaigns optimize only for gross revenue, they may reward orders that look excellent on paper but actually earn little or nothing. You therefore need to look at what remains after returns, refunds, and margins, not just the initial order total.

What is NetROAS and how does Adefence use it?

NetROAS measures advertising campaign returns based on net value—what actually remains after returns, refunds, and other costs—instead of the order's gross revenue. It matters because two orders of equal value can have very different profitability once these factors are deducted. Adefence helps your ecommerce campaigns distinguish orders that artificially inflate ROAS from those that generate real profit. This directs advertising budget toward what truly creates business value.

How can invalid traffic harm an ecommerce business beyond wasted clicks?

Invalid traffic does more than waste money on clicks: it can generate fake orders, use stolen credit cards to test whether they work, or fuel fraud such as refund abuse, switch fraud, and chargebacks. This means the financial harm can extend far beyond advertising budget into inventory, logistics, and payment management. Adefence works to recognize these suspicious patterns as early as possible, catching the problem before it becomes a concrete cost to your ecommerce business.

Does a positive average ROAS guarantee that all products are profitable?

No, and this is a common misconception: a campaign can still reach its overall ROAS target even if some budget is spent on products that generate little or no profit. The average conceals differences among products, making everything appear fine when it is not. Moving to a NetROAS approach, Adefence reveals these imbalances with more accurate data for each product segment. You can then see where budget is really paying off and where corrections are needed.

How do I include margins, returns, and cancellations in bidding signals?

Advertising platforms normally see only the moment of purchase, not what happens later, such as a return or cancellation. By connecting these data to campaigns through Adefence, bidding receives a signal closer to the real net value created by each order. Without this information, the algorithm would keep optimizing on gross revenue recorded at checkout even when the order ultimately generates no profit. Over time, bidding learns to bring in more genuinely profitable orders.

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