Commission on Empty Carts? How Affiliate Scanner Eliminates Fake Bot Orders
source: own elaboration
Why Do Companies Calculate ROI Before Implementing AI in Marketing?
Modern B2B and B2C e-commerce is on the verge of a technological breakthrough. According to data presented in the American Express study from March 2026, as many as 93% of European companies declare the implementation or plans to implement artificial intelligence within the next two years. However, this enthusiasm is dampened by pragmatic financial necessity and security concerns—the latter being identified as a key barrier by 28% of organizations.
Businesses can no longer afford to implement innovation "just for show." Every investment in AI SaaS software must be backed by hard calculations of return on investment (ROI). This is particularly evident in performance marketing and affiliate programs, where budgets are constantly exposed to sophisticated forms of fraud. Dishonest publishers, using bots and automated scripts, generate fake transactions to claim commissions for orders that will never be completed, or for so-called "empty carts."
Before deciding to implement advanced protection systems, e-commerce managers meticulously analyze the structure of operating costs. Calculating the ROI allows them to assess whether the subscription cost of an anti-fraud tool will translate into real savings in the commission and advertising budget.
Key fact: Global losses from ad fraud continue to rise. According to ad fraud forecasts for 2026, these losses will exceed the threshold of $100 billion globally. Implementing effective attribution protection is therefore becoming a prerequisite for maintaining profitability.
Cost-Saving Clusters After Implementing AI Protection
Implementing a system like Affiliate Scanner from TrafficWatchdog generates tangible benefits across three main dimensions: saving time for analytical teams, directly reducing the costs of unjustified commissions, and improving conversion rates and data reliability.
The table below compares key operational metrics before and after implementing smart attribution protection, based on data from market implementations of anti-fraud systems in Europe:
| Optimization Category | Before Implementation | After Affiliate Scanner Implementation | Estimated Value and ROI |
|---|---|---|---|
| Direct Commission Costs (CPS/CPA) | Paying commissions for transactions generated by cookie stuffing, click hijacking, and fake bot orders (often exceeding 10-15% of the budget). | Automatic blocking and rejection of commissions for dishonest publishers based on attribution path analysis. | A drop in fraud rates (from 18% to 1.2% in documented cases), generating thousands of euros in savings quarterly. |
| Team Work Time (Qualification and Verification) | Manual verification of suspicious transactions in CRM, database cross-referencing, and time-consuming complaint processes with affiliate networks. | Automatic 24/7 monitoring. Generating ready-to-use evidence reports for publishers and affiliate networks. | Reduction of data verification time by over 40% (freeing up resources for strategic planning). |
| Attribution and Conversion Reliability | Artificial inflation of the role of affiliate channels at the expense of organic (SEO) and direct traffic through dishonest cookie overwriting. | Identification of anomalies in the attribution path, detection of hidden iframes, and malicious browser extensions. | Fair distribution of the marketing budget, real increase in the profitability of organic and paid channels. |
How Does Affiliate Scanner Impact Specific Cost Categories?
Affiliate Scanner from TrafficWatchdog is an advanced tool dedicated to protecting advertising budgets and verifying attribution. Let's take a closer look at how this technology revolutionizes financial management in affiliate programs.
1. Eliminating Unjustified Commission Costs (CPS/CPA)
The primary task of the Affiliate Scanner is to detect attribution manipulation, such as Cookie Stuffing (dropping affiliate cookies without the user's knowledge, e.g., through hidden iframes) and Click Hijacking (hijacking the last click right before the transaction is finalized).
Dishonest publishers install malicious software or coupon and cashback browser extensions that overwrite the traffic source at the very last second before purchase. As a result, the online store pays a CPS commission for a customer who would have purchased through organic or direct traffic anyway. Affiliate Scanner identifies these anomalies (using, among other things, the in_frame signal), allowing for the indisputable rejection of commission claims from dishonest intermediaries.
Key fact: As shown by an implementation analysis in the European iGaming sector, the integration of AI-based anti-fraud systems allowed for a drastic reduction in fraud losses from 18% to just 1.2%. This translated into direct savings of $340,000 in a single quarter.
2. Time Savings and Automation of Analytical Processes
Traditional verification of lead quality and affiliate transactions requires analytical teams to manually reconcile CRM data with affiliate network reports. This process is error-prone and extremely time-consuming.
Affiliate Scanner, thanks to its integration with the Lead Scanner module, automatically monitors user behavior while filling out forms and placing orders. The system analyzes the unique device fingerprint (Device Fingerprint) and behavioral patterns (interaction time, mouse movements, data entry method). If the system detects that a form was filled out by a bot or via data injection (direct data injection into the code), the transaction is immediately flagged as fake. Marketing teams receive ready-to-use evidence reports, eliminating the need for manual database searches.
3. Improving Conversions and Optimizing the Attribution Structure
When dishonest coupon and cashback extensions hijack attribution on a massive scale, e-commerce managers get a distorted view of their marketing channels' effectiveness. It appears that the affiliate program is driving outstanding results, while real sales do not increase, and the performance of SEO and PPC campaigns drops drastically.
Affiliate Scanner restores transparency to the attribution structure. By identifying dishonest partners, it allows for budget relocation to channels that actually generate high-intent traffic.
How to Implement and Integrate the System within Company Structures
The implementation of Affiliate Scanner is non-invasive and flexible, tailored to the standards of modern e-commerce. The basic integration is based on placing a lightweight JavaScript script directly on the landing page or on the purchase confirmation page (Thank You Page). The tool is fully compatible with the most popular e-commerce platforms in Europe, such as Shopify, WooCommerce, Magento, PrestaShop, IdoSell, or Shoper.
For companies that require the highest level of protection against fake leads, a deeper integration with the CRM system is recommended. This enables automatic transmission of transaction statuses and building precise databases of trusted and blocked device fingerprints.
How to Calculate the ROI of Implementing Affiliate Scanner for Your Business?
To precisely estimate your return on investment before purchasing the system, follow these calculation steps:
- Determine your monthly budget for affiliate commissions (CPS/CPA): Sum up all expenses on commissions paid directly to publishers or through affiliate networks.
- Identify the discrepancy level: Compare the number of conversions reported by the affiliate platform with the unique transactions registered in Google Analytics (GA4) and your CRM system. This difference often indicates the scale of attribution hijacking.
- Assume an estimated ad fraud rate: Based on market research, assume that 5% to even 15% of transactions in unprotected partner programs may result from manipulation (e.g., cookie stuffing).
- Calculate potential savings: Multiply your monthly commission budget by the estimated fraud rate. The resulting amount is your monthly loss.
- Compare losses with the subscription cost: Compare the calculated loss with the cost of the Affiliate Scanner plan (e.g., the Starter package costs PLN 1,800/month for a limit of up to 100,000 clicks). If your estimated losses exceed the subscription cost, the implementation will generate an immediate, positive ROI in the very first month of operation.
European Perspective: GDPR and the AI Act in the Fight Against Fraud
Implementing AI-based systems in the European Union obliges companies to maintain full compliance with two key regulatory frameworks: the General Data Protection Regulation (GDPR) and the newly enacted Artificial Intelligence Act (AI Act).
As experts point out in the legal analysis of GDPR and the AI Act, these two legal acts do not exclude each other but work closely together. A company implementing an out-of-the-box AI solution becomes a Deployer in the eyes of the law and must meet new requirements:
- Transparency: Starting in February 2025, the obligation to clearly inform users about interactions with AI-based systems comes into force.
- Human Oversight: Decisions to block publishers or reject commissions cannot be made in an entirely automated manner without the possibility of human verification.
- GDPR Compliance: Collecting device parameters (such as IP addresses or browser fingerprints) to prevent fraud is based on the legitimate interest of the controller (Art. 6(1)(f) GDPR). Recital 47 of the GDPR explicitly states that preventing fraud constitutes a legitimate interest of the business.
Key Performance Indicators
| Metric | Before Implementation | After Implementation | Source |
|---|---|---|---|
| Share of bot traffic on the network | Approx. 51% of web traffic generated by machines | Detecting and blocking non-human traffic based on device fingerprinting | TrafficWatchdog product documentation |
| CPC budget protection (Click Scanner) | Uncontrolled clicks from click farms, GPT sites, and publisher bots | Automatic blocking of suspicious IPs and devices in Google Ads | TrafficWatchdog product documentation |
| CPL form verification (Lead Scanner) | Risk of fake leads and marketing commission fraud | Analysis of non-personal parameters and evaluation of the credibility of each form | TrafficWatchdog product documentation |
Summary
- Protection against fraud: Affiliate Scanner from TrafficWatchdog effectively eliminates practices such as cookie stuffing and click hijacking, protecting the commission budgets of online stores from leaking to dishonest intermediaries.
- Hard ROI: Automating the lead and transaction verification process allows for the reduction of operational costs and saves analytical teams over 40% of their time.
- Reliable data: Eliminating fake traffic restores transparency to the attribution structure, enabling accurate optimization of marketing campaigns.
- Legal compliance: The use of non-personal behavioral data and fingerprinting allows for an effective fight against fraud in full compliance with European GDPR and AI Act regulations.
