Assisted conversions: crediting the supporting cast
An assisted conversion is one where a channel participated in the path but was not the closing touch. The assisted-conversions view is a corrective to last-click: it reveals the supporting channels that last-click hides. It is a count of participation, not a clean measure of incremental contribution.
What this means
In a multi-touch path, the closing touch gets the last-click conversion and every other touch is an 'assist'. The assisted-conversions report counts how often each channel assisted. It exists to make the channels last-click ignores visible again.
How not to misread it
Assists are a participation count, not incremental lift. A channel can assist on thousands of paths that would have converted anyway. The classic error is to add assisted value to last-click value and double-count — the same conversion is not two conversions.
Read assists as a discovery tool that prompts deeper questions, especially about incrementality, not as a second budget to allocate.
- Assist = appeared in path but did not close
- Counts participation, not incremental contribution
- Do not stack assist value on top of last-click value
How it appears in analytics and logs
A high assist count means a channel is often present but rarely closes. That can mean genuine nurturing — or a channel that simply appears a lot without changing outcomes.
Diagnostic use case
Use assisted conversions to find channels that quietly support journeys, while resisting the urge to add assist value on top of last-click value as if they were separate.
What WebmasterID can help detect
WebmasterID surfaces supporting touchpoints with confidence labels, so assist channels are visible without implying their participation equals incremental value.
Common mistakes
- Adding assisted and last-click conversions as if separate.
- Reading assist frequency as proof of influence.
- Ignoring incrementality when championing assist channels.
Privacy and accuracy notes
Assist data comes from the ordered touchpoints of one site's own visitors; it does not need cross-site identity. WebmasterID keeps such paths first-party.
Related pages
- Last-click attribution: simple, and what it hides
Last-click attribution assigns 100% of a conversion's credit to the last touchpoint before it. It is simple, deterministic, and the historical default — which is exactly why it misleads: it ignores every earlier touch that created demand, systematically overrating bottom-funnel channels and underrating discovery.
- Multi-touch attribution: the family, not a model
Multi-touch attribution (MTA) is not one model but the whole family of models that distribute credit across more than the final touch — linear, time-decay, position-based, data-driven. What unites them is the ambition to value the full path, and the shared dependency on every relevant touch being tracked.
- Funnel analysis: finding the leak
Funnel analysis follows visitors through an ordered set of steps (view → add to cart → checkout → purchase) and shows where they fall out. It turns a single conversion rate into a map of where the loss happens. The pitfalls are step definition, small-sample noise, and assuming a strict order where users actually skip around.
- Attribution analytics
See supporting touchpoints, honestly labelled.
Sources and verification notes
Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.