New Traffic Arbitrage Tracker: How It Works and What Data It Collects

When a team works with multiple traffic sources, offers, landing pages, and GEOs, data is spread across ad accounts, affiliate networks, and other systems. A tracker is needed to compare costs with campaign results. It connects clicks to conversions and, provided that data is passed correctly, shows which traffic segments generate revenue and which simply consume the budget.

Let’s look at what data appears in a report, where it comes from, and why figures may differ across systems.

What Does a Tracker Do?

A tracker brings together data on traffic sources, clicks, conversions, and payouts. This makes it possible to analyze a campaign by creative, placement, landing page, offer, GEO, device, and other parameters passed to the tracker.

A tracker’s main task is attribution: identifying the click and campaign to which a conversion belongs. In a standard tracking setup, a unique click ID is used for this purpose.

How Data Flows Through a Tracker

In a standard setup, a user clicks an ad and follows a tracking link. The tracker records the click, saves the parameters passed by the traffic source, and directs the user to a landing page, pre-landing page, or offer page.

If the user completes a target action, the affiliate network or the advertiser’s system sends conversion information to the tracker. A postback URL is most commonly used for this. The conversion is sent with the click ID and, depending on the configuration, its status, type, and payout amount.

If the click ID was not retained or included in the postback, the tracker will not be able to match the conversion to a specific click. Postback configuration errors can also prevent data from appearing in the report or cause it to be displayed incorrectly.

In addition to redirect tracking, some trackers support direct tracking using scripts. In this case, the user goes directly to the destination page, while information about the visit is sent to the tracker separately. The choice of method depends on the tracker’s capabilities and the advertising platform’s requirements.

What Data Appears in the Report?

A tracker does not collect all data on its own. It identifies some parameters during the visit and receives others through the URL, an API, or a postback. The contents of the report therefore depend on the configuration and available integrations.

Traffic Source Data

A tracker can show which campaign, ad group, creative, placement, or keyword generated a click or conversion. This makes it possible to see which parts of a campaign generate conversions and which simply consume the budget.

For example, a campaign may remain profitable overall even though an individual placement is already spending money without generating approved conversions. This can be easy to miss in aggregate statistics. A detailed report helps identify that traffic segment and disable it in time.

Visit Parameters

Depending on the tracker, the report may display GEO, device type, operating system, browser, language, visit time, and other technical parameters.

These breakdowns need to be assessed alongside the volume of data. A high conversion rate (CR) in a small segment does not yet prove that it can be scaled. Likewise, weak performance after just a few clicks is not sufficient reason to disable it.

Conversions, Statuses, and Payouts

A tracker can record a registration, lead submission, sale, deposit, or another target action. If the affiliate network sends status updates, the report can distinguish between initial, approved, and rejected conversions.

For lead generation campaigns, this level of detail matters more than the total number of leads. A creative with a lower cost per lead (CPL) may underperform another because of a low lead approval rate and less revenue from approved leads.

Costs and Revenue

To calculate CPA, profit, and ROI, a tracker needs data on advertising costs and conversion payouts. This data can be received through an API, link parameters, a postback, or another supported method.

To calculate profitability accurately, it is important to account for additional operating fees as well as advertising costs. A card top-up should not automatically be treated as ad spend, and actual charges should be reconciled with the figures in the ad account.

With Pay2.House, a team can use separate cards for different ad accounts and monitor transactions on each one. This helps reconcile payment transactions with data from advertising platforms and the tracker. The final profitability calculation should separately account for any applicable fees for top-ups, card maintenance, and other transactions, without counting advertising costs twice.

For more information about assigning cards to ad accounts, controlling budgets, and managing payment transactions, read our article “Payment Security Checklist for Digital Agencies: How to Protect Advertising Budgets”.

What Decisions Can You Make Based on the Data?

A tracker is not there simply to duplicate the advertising platform’s statistics. Its value lies in the ability to identify a specific source of profit or loss.

Using reports, a team can:

• compare creatives by approved conversions and revenue;
• evaluate landing pages and offers using the same traffic segments;
• disable unprofitable placements, zones, or keywords;
• review performance by GEO, device, and operating system;
• identify segments for further testing and scaling.

Why Statistics May Differ

An ad account, tracker, and affiliate network may show different figures even for the same period. The most common reasons include:

• different time zones and reporting day boundaries;
• different attribution models and windows;
• delays in conversion reporting;
• repeat visits and different rules for counting unique clicks;
• a missing click ID or a postback error;
• different dates for recording the click and the conversion.

If there is a noticeable discrepancy, first check the time zone, reporting period, attribution model, link parameters, and postback log. Assessing traffic quality before completing these checks is risky.

Campaign Analysis Example

A team is testing two landing pages. The overall CPA exceeds the acceptable threshold, but it is too early to stop the entire campaign.

Consider a hypothetical example in which both landing pages received the same number of clicks and the same advertising budget.

These figures are provided for illustration and exclude additional fees.

The report shows that the first landing page generated more initial conversions but had a lower lead approval rate. The second generated fewer leads but performed better in terms of approval rate and revenue. An additional breakdown shows that most of the unprofitable traffic comes from a single placement.

Based on this data, the team can pause the underperforming placement separately, redistribute traffic between the landing pages, and reassess CPA after collecting a new sample. A tracker does not make decisions for the media buyer, but it helps avoid disabling profitable segments along with unprofitable ones.

What to Check Before Launch

Before launching a campaign, you need to complete a test click and conversion. The check should cover the entire data flow:

• traffic source parameters appear in the report;
• visits and redirects, if used, lead to the correct landing page and offer;
• the click ID is retained and passed along;
• the tracker receives the test conversion through a postback;
• the status and payout amount are passed if required for the report;
• repeat postbacks and multiple conversions under the same click ID are handled according to the tracker’s settings;
• costs are imported in the correct currency;
• the time zones of all systems have been checked, and data is compared over matching time periods.

Conclusion

A tracker connects clicks to conversions and helps evaluate a campaign by traffic source, creative, landing page, and other segments. The accuracy of the analysis depends on the parameters passed, the postback setup, and the completeness of cost and payout data.

If even one part of this chain is configured incorrectly, a profitable campaign may appear unprofitable, while an unprofitable one may look promising.