Assisted Conversion
AnalyticsAlso: Assisted Attribution · Multi-Touch Assist
Quick definition
An assisted conversion is recorded when a marketing channel contributed to a conversion path but was not the final touchpoint before the customer converted. It shows which channels warm up customers that another channel closes, making it a key input for multi-channel attribution decisions.
How it varies across Australia
Assisted conversion counts typically run well above last-click conversion counts for channels that sit early in the customer journey, like display advertising, organic social and brand content. Paid search tends to show the reverse pattern, closing more than it assists. The gap between a channel's assisted count and its last-click count is a reasonable signal of its upper-funnel contribution.
See data and tracking scores across Australian industries →What it actually means
Think about a sales team where one person always finds the lead, another nurtures the relationship, and a third closes the deal. If you only pay the closer, the other two stop working and the pipeline dries up. Assisted conversions are how you see the finders and nurturers in your marketing data.
An assisted conversion is logged against a channel or campaign whenever it appears somewhere in a customer's journey before the final converting session, without being the last touch. Google Analytics 4 (GA4) reports these in the multi-channel funnel section alongside a metric called the assisted-to-last-click ratio. A ratio above one means the channel assists more than it closes. A ratio below one means it tends to close what others started.
The data matters most when you are deciding whether to cut a channel that looks weak in last-click attribution but may be doing significant upper-funnel work. Display advertising, branded content, organic social and email newsletters frequently show this pattern. They look expensive per last-click conversion and invisible if you only report on last-click. Assisted conversion data gives them a fair hearing.
The relationship between assisted conversion data and your attribution model is direct. Different attribution models, like time-decay, linear or position-based, effectively bake in credit for assisted touches at different rates. If you run last-click attribution exclusively, assisted conversion counts are the fastest way to start seeing what you are systematically ignoring.
A channel that never closes anything might still be doing the work that makes everything else close.
How it shows up
Assisted conversion data appears in GA4 under Advertising then Attribution then Multi-channel funnel reports, and in most paid platform reporting dashboards under assisted or view-through columns. The key metric to watch alongside the raw count is the assisted-to-last-interaction ratio. A channel sitting at three or above is heavily assisting relative to closing. A channel sitting below one is a closing channel. The ratio gives you the shape of the channel's role in the funnel before you start asking why.
The Australian context
Australian customer journeys tend to be shorter than equivalent US journeys, partly because the media market is smaller and partly because product categories have fewer direct competitors. Shorter journeys mean fewer touchpoints per path, which compresses the assisted conversion data. A channel showing moderate assisted counts in an Australian context may be doing proportionally more work than the same count would suggest in a larger market.
Where people get this wrong
Related terms
Common questions
Where do I find assisted conversion data?
In GA4, go to Advertising then Attribution then Compare attribution models, or check the Conversion paths report. Most paid platforms also report assisted or view-through conversions in their own dashboards, though the definitions differ from GA4 and should not be added together.
How is an assisted conversion different from a view-through conversion?
An assisted conversion requires a click or measurable interaction somewhere in the path. A view-through conversion is logged when someone saw an ad but never clicked, then converted later. View-through counting is more generous and more contested. Assisted conversion data is generally more defensible.
Should I give budget to channels based on their assisted conversion counts?
Use assisted data to flag channels worth investigating further, not to set budgets directly. The next step is an incrementality test or holdout experiment to confirm the channel is actually causing assisted conversions, not just appearing in journeys that would have converted anyway.
Why does my email channel show huge assisted conversion numbers?
Email tends to appear in almost every returning-customer journey because re-engagement emails are timed close to purchase. This inflates assisted counts. Check whether the assisted journeys are existing customers who would have bought anyway, rather than new prospects being genuinely influenced.
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New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.
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