Introduction

Traffic arbitrage in iGaming: risks, economics and test procedure

Traffic arbitrage is a model in which a partner buys audience engagement and compares costs to proven revenue. In iGaming, the complexity is not in the formula itself, but in the number of variables: different GEOs, ad space limitations, traffic quality, hold, confirmation criteria, and long-term user value.

There is no universal “working campaign setup”. What pays off in one source and market may not work in another. Therefore, it is more useful not to copy other people’s percentages and screenshots, but to build a controlled test.

The economics of campaigns

For CPA, the basic logic looks like this:

Result = Confirmed Actions × CPA − Advertising Costs − Additional Expenses.

For Hybrid, a share of RevShare is added, and for pure RevShare, the result depends on the agreed NGR base and user dynamics after the first action.

Metrica.What showsMisinterpretation
CPC / CPMcost of access to the audienceconsider a cheap click to be automatically good
CTRcreativityOptimize only for curiosity
registration ratelanding-trafficDo not separate devices and GEO
FTD ratefollow-upignore the rules of confirmation
cost per confirmed FTDresult-priceConsider all FTDs confirmed in advance
ROI / profitfinalismmix up campaigns at different costs

Principal risks

1. Rules of the site and legislation

Advertising requirements for gambling content vary by country and platform. Before launching, you need to check the current rules of a particular channel and jurisdiction. Attempting to circumvent restrictions creates the risk of blocking the account and losing campaign data.

2. Disabled or motivated traffic

Bots, doubles, self-registration, prohibited motivation and other violations degrade quality and can lead to cancellation of actions. The source must be agreed with the manager before purchasing the volume.

3. Opaque attribution

If placement, GEO and creatives are not separated, the partner does not understand which segment is paying off. If the postback is not configured correctly, the optimization of the advertising platform can also be trained on the wrong signal.

4. Scaling from too early data

A small series of conversions can be an accident. Increase the budget step by step and check whether the value of the confirmed action is maintained at the new volume.

Order of the test

  1. Agree on source, GEO, model, and action criteria.
  2. Create separate SubIDs for large segments.
  3. Check out the redirect and postback test event.
  4. Run a limited set of creatives.
  5. Look at the full path, not just the CTR.
  6. Turn off segments by a pre-selected rule, not emotionally.
  7. Scale only those groups by which the economy is understood.

How to compare two sources

Let’s say source A gives cheaper clicks, but converts less to validated actions. Source B is more expensive at the entrance, but the funnel passes better. The winner is determined not by the CPC, but by the total cost of the confirmed result and its quality.

For RevShare, the comparison may take longer: two cohorts with the same number of FTDs are capable of producing different NGRs. So a short test answers a question about the top of the funnel, but not always about the long-term value.

Before starting it is useful to check the pages trafficker and pay-off.