Attribution Models in GA4
GA4 defaults to a data-driven attribution model instead of the simpler last-click rule older tools used.
What it means
Attribution models decide which touchpoint gets credit for a conversion. GA4's default is "data-driven attribution," which uses machine learning across your own conversion paths to distribute credit across multiple touchpoints, rather than the older and simpler rule of giving 100% of the credit to the last click before conversion.
Why it matters
Because data-driven attribution spreads credit around, upper-funnel channels like display ads or organic social often look more valuable in GA4 than they did under last-click reporting, while the very last channel before conversion looks slightly less dominant. That's not the channels performing differently — it's the same conversions being counted with a different rule.
ask datanephew
Why does this channel suddenly look better or worse than before?
Ask datanephew to explain how a given conversion path was attributed — data-driven attribution spreading credit across multiple touches is a common reason a channel's apparent value shifts.
Which channel should I actually trust more, first touch or last touch?
Ask datanephew to show you a specific conversion path end to end — seeing the whole journey is more useful than picking one attribution model to trust blindly.