What Is an Attribution Model? Meta Ads and Telegram

What is an attribution model? It’s the rule an ad platform uses to decide which touchpoint (a click, a view, a channel) gets credit for a conversion when the path to it went through more than one interaction. The most common one in Meta Ads is last click: the whole conversion is credited to the most recent click before the event, even if the person saw other ads along the way.

Why the attribution model matters if you run traffic

Choosing a model, or accepting one without noticing, changes which campaign looks like it’s performing. In a Telegram funnel with several ads running at once, it’s common for a top-of-funnel campaign to build the interest while a second campaign, running in parallel, gets the final click and all the credit for the conversion, without having done the work of attracting the person. If you don’t know which model is in use, you can wrongly conclude that the second campaign is the one that works, and cut budget from the very campaign that brought the lead in.

Attribution model vs attribution window

The two terms are easy to mix up. An attribution model is the rule for which touch gets credit (last click, first click, linear). An attribution window is how long after the touch a conversion still counts toward it. See the guide to the Meta Ads attribution window for that second part: the two concepts work together, but they solve different problems.

Why server-side tracking reduces your dependence on the model

The model in your ad platform only matters this much because, without another data source, it’s the only way to know where a conversion came from. Once the origin is recorded in your own tracking tool, that dependence shrinks.

In Track4you, each channel entry (enter_channel) is tied to the click on your bridge page within the attribution window (up to 7 days after the click) and shows up in the Metrics screen (“Métricas”) with the UTMs of the campaign that brought the lead. Deposits arrive through the sportsbook’s or broker’s postback, carrying the click_id generated when the person clicked the integration’s tracking link (Pro and Enterprise plans), as in S2S postback tracking for iGaming. That conversion has no time limit on Track4you’s side: even weeks after the click, it goes to the pixel and becomes a signal for the algorithm. Either way, the real origin is recorded, whatever attribution model Meta uses to hand out credit in its own report.

This doesn’t end the debate. Ads Manager keeps crediting conversions by its own model and its own attribution window (by default, 7 days after the click or 1 day after a view), so an FTD that arrives after that still feeds the algorithm but doesn’t show up credited to any campaign in the report. What changes is that you get a second source of truth to check whether the credit in the report matches where the lead really came from.

A practical example

An iGaming VIP channel runs two campaigns: a content campaign (educational videos, optimized for enter_channel) and a retargeting campaign aimed at people who already entered. Under the default last-click logic, most FTDs show up credited to the retargeting campaign, even when the decision to trust the channel came from the content campaign weeks earlier. Going by the report alone, you’d scale retargeting and cut the content campaign, which is exactly the one building the base of people who convert later.

See the Telegram subscriber CPL guide and what ROAS is for other metrics that get distorted when you read them without asking where the conversion credit comes from.