What engaged-through attribution counts
Not every interaction with an ad is an outbound click. Someone can expand the caption, swipe a carousel, tap the image without leaving the app, open the profile, or interact with a form that opens inside the platform. Some of those actions were historically bundled in with genuine link clicks, so the click-through conversion figure quietly contained interactions that never sent anybody to a website.
Engaged-through attribution is the category that separates them out. A conversion is credited this way when it followed an interaction with the ad that was not an outbound link click, inside the window the attribution setting allows. It sits between click-through conversions, where someone actually travelled to your site, and view-through credit, where someone did nothing but see the ad.
Which interactions qualify, and where the column appears, are decided by Meta and revised from time to time. Treat the definitions in your own account as the authority rather than any written description, including this one.
Why the category matters
The point of separating it is honesty about the strength of evidence. An outbound click is a person choosing to leave a feed and visit you. Expanding a caption is interest, but weaker interest, and mixing the two makes the stronger signal look more common than it really is.
The practical consequence is that reported totals move when a category is introduced or reclassified. Click-through conversions can fall while total conversions stay level, because credit that was already being counted is now counted under a different name. If you do not know that has happened, a perfectly normal week looks like a collapse.
It changes what you can compare, too. Return on ad spend calculated from a total that includes engaged-through credit is not comparable with one calculated from clicks alone, and it is certainly not comparable with the order count in your shop admin.
Where it goes wrong
The first mistake is reading a definitional change as a performance change. When a column’s meaning shifts, the trend line breaks, and any decision made across that break rests on nothing. Note the date and compare like with like on either side of it.
The second is treating all credit as equal when deciding where money goes. A conversion attributed to a caption expansion deserves less weight than one attributed to a click. Both may be genuine sales; they are not equally good evidence that the ad caused them.
The third is reporting one conversion number without saying what it contains. A client told that the campaign produced a certain number of leads, who then counts something different in their own inbox, loses confidence in the whole report — and is right to.
What to do about it
Open the columns and breakdowns in Ads Manager and establish which credit types your headline conversion figure includes. Do this while you are building the report template, not after somebody questions the numbers.
Then anchor everything to a count that does not depend on platform definitions. Orders in the ecommerce admin, enquiries in the CRM, calls logged by the team — these stay stable while attribution categories change around them. Use platform attribution to steer delivery and decide where to spend more; use your own records to decide whether the business is actually growing. Holding both, and understanding the gap between them, is the everyday job of analytics and tracking.
If the question you really want answered is whether the ads caused the sales rather than which interaction came before them, no attribution category can answer it. That is settled by running with and without the spend and comparing the outcomes, not by finding a better column.