View-Through Conversion
Also known as: VTC, View-Through Attribution
A conversion credited when a user sees an ad impression but does not click it, then converts later within a set window. It captures the assist value of display and video ads that influence a decision without a direct click, unlike click-based conversions.
Key Takeaways
- A view-through conversion is credited when a user sees an ad impression, does not click, then converts later within a window.
- It captures the assist value of display and video ads that influence decisions without a direct click.
- View-through data reveals upper-funnel awareness impact that click metrics ignore.
- Impressions are a weaker signal than clicks and can overstate an ad's real influence.
- Report view-through conversions separately and validate them with holdout testing.
How It Works
A view-through conversion counts when someone is served an ad impression, does not click it, and later converts within a defined lookback period. It exists because display and video ads often shape a decision without generating a click, and click-only reporting would miss that influence entirely.
The credit depends on timing. The Conversion Window sets how long after an impression a conversion still counts, and the choice of Attribution Model determines how that view-through touch is weighed against clicks and other touchpoints. Wider windows capture more assists but also more coincidental conversions.
The risk is overstatement. Someone may have converted anyway, so a raw view-through count can credit ads that changed nothing. That is why teams test Incrementality with holdout groups to isolate the real lift an impression caused. Sound measurement also requires reliable Conversion Tracking so impressions and conversions are matched accurately. Keep view-through conversions in a separate column rather than adding them straight into click totals.
Why It Matters
View-through data shows the awareness impact of upper-funnel campaigns that pure click metrics ignore. It helps justify display and video budgets, but only when weighed against incrementality so you avoid crediting ads that changed nothing.
Example
A SaaS site runs a display retargeting campaign. A visitor sees the banner across a few sites, never clicks, then returns days later through a branded search and signs up. The platform records a view-through conversion. Because the team suspects some of those users would have converted regardless, it runs a holdout test to measure the true incremental lift before crediting the display budget with the win.
Common Mistake
Adding view-through conversions to click conversions as if they carry equal weight. Impressions are a weaker signal and often overstate impact, so report them separately and validate with holdout testing.
Frequently Asked Questions
How is a view-through conversion different from a click-through conversion?
A click-through conversion follows a user clicking the ad. A view-through conversion follows a user seeing the ad without clicking, then converting later within the window. View-through is a weaker signal and should be reported separately.
Should I add view-through conversions to my total?
No. Impressions are a weaker signal than clicks and can overstate impact, so combining them inflates results. Keep view-through conversions in a separate column and validate their real contribution with incrementality or holdout testing.
What window is used for view-through conversions?
It is set by the conversion window, which defines how long after an impression a conversion still counts. Shorter windows are more conservative, while longer windows capture more assists but also more coincidental conversions.
How do I know if view-through conversions are real?
Run a holdout or incrementality test. Compare a group exposed to the ads against a comparable group that was not, and measure the difference. That isolates the lift the impressions actually caused rather than conversions that would have happened anyway.