E-commerce loses money on more than chargebacks

Online stores are used to treating antifraud as a payment-gateway tool: 3-D Secure, velocity rules, chargebacks. That is critical — but margin leaks before checkout too: through bonus programs, returns, partner traffic, and ad clicks without purchases.

This article maps e-commerce risks and draws an honest line between areas of responsibility. ClikBy does not replace payment antifraud and does not handle chargebacks. The platform works at the layer of click quality and smart links: it helps marketers see which paid traffic is real and which burns budget and poisons retargeting.

Three “quiet” holes in an online store’s P&L

• Loyalty abuse. Multi-accounts, first-order promo codes, points farming. Payment antifraud sees a “successful payment,” while the loyalty program’s economics fall apart.
• Return fraud / wardrobing. Order → wear to an event → return. That is an operational and SKU risk, not a click-antifraud job, but it is often masked by “normal” acquisition traffic from ads.
• Click fraud in performance channels. Bots and competitor click fraud in Google Ads, Meta, and marketplaces with in-platform ads. Budget is charged, the cart stays empty, and the optimization algorithm learns from junk.

“An e-com CFO often sees chargebacks in the report, but not the 15% of the ad budget that went to bots before the first order. Those are two different P&L lines, but one problem — fraud on the customer path.”

Where ClikBy closes the marketing loop

ClikBy smart links sit before the landing page and checkout: on ads, email, influencer, affiliate. Every click gets a quality score (AI Selena), confirmed / bot statuses, and audience segmentation.

• Separate links per channel (Meta, Google, CPA) — compare the junk-click share without mixing UTM in one alias.
• Clean segments for retargeting: don’t “chase” bots that faked product-page views.
• Signals into ad accounts (Pulse) — pay less for clearly low-quality traffic where the platform supports it.

Loyalty and returns need CRM rules, KYC where it fits, and return-moderation processes. ClikBy complements the stack; it does not replace it.

A practical plan for the e-commerce marketer

• Step 1. Split paid channels across smart links and measure the bot share for 14 days.
• Step 2. Compare CR from confirmed clicks vs. “raw” clicks in Ads — the gap often explains the “chasm” between ROAS in the account and actual revenue.
• Step 3. Exclude bot segments from look-alike and retargeting.
• Step 4. In parallel — audit promos and returns with finance; leave payment antifraud on transactions.

How to estimate click-fraud damage in e-commerce

Take the monthly paid budget and multiply it by the bot-click share from ClikBy Audience — that is a lower-bound estimate of direct CPC losses. Add the indirect ones: inflated retargeting CPM, look-alikes trained on bots, and analytics-team time spent “explaining” a ROAS miss.

Compare the conversion rate from confirmed visits with CR from the ad account. The gap often matches the bot share ± a few percent — a strong argument for the CFO.

Protection stack: who owns what

• Payment gateway / acquirer — transactions, 3DS, card velocity.
• OMS / WMS — return fraud, return limits, recipient blacklists.
• CRM & loyalty engine — promo abuse, multi-accounts via device/email graph.
• ClikBy — quality of clicks and visits from ads, segments, sync into Ads.

See also: how fraud traffic eats the budget.

Check click quality with ClikBy

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