The Effect of Meta’s Click-Based Attribution Recategorization
Meta recently informed marketers that they are changing how click-through attribution is defined.
Historically, Meta attributed conversions to all types of clicks including likes, shares, saves, comments and link clicks.
However, most third-party platforms count only website link clicks.
As Meta noted: “This difference in what is attributed as a ‘click’ conversion can lead to inconsistency between what an advertiser sees in Meta Ads Manager compared to third-party reporting tools.”
To address this discrepancy, Meta has decided to restrict click-through attribution only to link clicks. At the same time, a new attribution category called “Engaged-Through Attribution” is introduced.
This includes signals such as likes, comments, saves, shares and engaged views.
📌 Aryma Labs’ Take
We believe this is a positive move by Meta.
Separating engagement signals into Engaged-Through Attribution puts the spotlight back on something marketers often struggle to measure – Brand Marketing.
Signals like likes, comments, saves, shares and engaged views often indicate brand familiarity, recall and affinity.
These may not drive immediate sales, but they are strong indicators of brand building.
📌 A Real Example
We work with several clients who spend heavily on Meta Ads.
One of our client a D2C brand is heavily performance-marketing driven.
After building MMM, our recommendation was to maintain current performance spend while improving efficiency in Meta bid-cap campaigns.
However, the client wanted to pivot toward more brand-oriented marketing.
A sudden pivot could risk short-term revenue collapse, so we agreed on a gradual transition while monitoring brand equity signals.
📌 The Problem with Brand Equity Metrics
Brand equity metrics are slow and sticky.
They rarely move fast enough to capture short-term campaign effects.
Even modeling a dynamic base in MMM most often turns into a wasted effort (more on this in a future post).
What is needed is a more sensitive intermediate signal that captures early shifts in brand perception.
📌 Engaged-Through Attribution – The Answer?
Meta’s Engaged-Through metrics may provide that signal.
Previously, the client ran an awareness-focused campaign. In both MMM and incrementality tests we found no immediate sales impact.
But brand building rarely produces instant results.
Monitoring engaged-through metrics could provide an early signal of whether awareness campaigns are improving brand engagement.
📌 A Direction We Are Exploring at Aryma Labs
At Aryma Labs, we are considering building MMM models where engagement metrics (likes, shares, comments etc.) become the KPI.
This could help brands understand how marketing activity influences engagement before sales effects materialize.
Overall, we believe the click-based recategorization is a welcome move.
It gives brands a clearer way to evaluate both performance marketing and brand building.
