Attribution & Conversion Counting

1-Day Click Attribution vs 1-Day View Attribution: Click or View Credit

In short: Both run on the same 24-hour clock, so the difference is not how long the window lasts but what has to happen to start it. A click conversion requires an actual tap on the ad; a view conversion only requires that the ad was rendered on screen, with no click at all. Click always outranks view when both are on record for the same person, so 1-day view only ever picks up the leftover conversions that had no click behind them. Trust 1-day click as the harder evidence and treat 1-day view as a smaller, weaker signal that needs a lift test before you act on it.

By the AdFlint research team · Fact-checked against current Google and Meta platform behavior · Last reviewed July 2026

1-Day Click Attribution

Counts a conversion only if it happens within 24 hours of the user clicking the ad, measured from the click itself.

The window opens at the click and closes 24 hours later; anything after that is invisible to the campaign. Advertisers pick it for impulse purchases, app installs, or when they want reported numbers to stay close to same-session behavior. On Meta it is the tightest setting available. The mistake is comparing a 1-day-click campaign against a 7-day-click one and concluding the creative performed worse, when only the counting rule changed.

Full definition

1-Day View Attribution

Counts a conversion when someone saw the ad without clicking it and converted within 24 hours of that impression.

A view means the ad was served and rendered to the person, not that they engaged with it, and clicks take precedence, so a view-through is only counted when no click exists in the window. It pairs with 7-day click as Meta's default setting. The frequent misreading is treating view-through conversions as incremental; many of those people would have converted anyway, which is what a lift test exists to check.

Full definition

Side by side.

The differences that actually change what happens in your account.

	1-Day Click Attribution	1-Day View Attribution
What has to happen to earn credit	An actual click on the ad.	The ad simply being served and visible on screen.
Which one wins if both occurred	Takes precedence over a view every time.	Only counted when no click exists in the window.
Strength of the evidence	Documents an active action by the person.	Documents exposure only, with no interaction on record.
Typical relative volume	Usually the larger share of total conversions in most reports.	Usually a much smaller remainder after clicks are removed.
Where it matters most	Any format where the click itself is the meaningful action.	Video, Stories, and other formats where impressions vastly outnumber clicks.
How safely you can act on the number alone	Reasonably safely - a real click already happened.	Not safely without a holdout or lift test to check for causation.
Failure mode	Ignoring exposure effects the ad clearly had, just not captured here.	Assuming those conversions were caused by the ad when many would have happened anyway.

What actually separates them.

A view-through conversion is only recorded when the person did not also click the ad in the window, so click and view are mutually exclusive credit paths for the same person, not additive ones.

Click requires a logged click event; view only requires the ad to have rendered, which is a far lower bar and pulls from a much larger pool of people.

Because view credits people with zero interaction on record, it is far more exposed to counting people who would have converted anyway, which is exactly why a lift test exists to check it.

Both run on the identical 24-hour clock, so nothing here is about window length - it is entirely about which kind of interaction starts that clock.

Turning off 1-day view removes only the passive-exposure conversions from your reporting; turning off 1-day click removes the ones with an actual click behind them, so disabling either changes which type of evidence disappears, not just how many rows.

Which one should you use?

Use 1-Day Click Attribution when

You are selling something where the click itself is a strong signal of real intent.
You want to credit only people who actively engaged, not just saw the ad go by.
You are skeptical of view-through claims and want the harder, less inflatable number.
You need attribution that lines up closely with what your own landing page click-tracking shows.
You are optimizing a lower-funnel campaign where the click is the meaningful step in the funnel.

Use 1-Day View Attribution when

You are running video, Reels, or Stories where impressions vastly outnumber clicks.
You want visibility into people who saw the ad, never clicked, but converted anyway.
You are running an upper-funnel or brand campaign where exposure itself is the intended effect.
You have, or plan to run, a holdout or lift test to check whether those conversions are incremental.
You are reporting full exposure impact to stakeholders, not just click-attributed results.

Common questions.

If someone sees my ad and later clicks it, which type gets the conversion credit?

The click. Click always takes precedence over view when both are on record for the same person, so a view-through conversion only fires when there is no click at all in the window - it never double-counts the same event both ways.

Why is my 1-day view number so small compared to my impressions?

Most impressions do not lead to any conversion, and among the ones that do, anyone who also clicked gets credited to the click, not the view. What is left for view-through is only the remainder - people who converted with no click on record - which is naturally a small slice of total impressions.

Can I trust 1-day view conversions to make a budget decision on their own?

Not on their own. Because it credits people with no interaction beyond exposure, some of them would have converted regardless of the ad. Pair it with a holdout or lift test before treating it as proof the ad caused those conversions.

Or stop choosing between them.

AdFlint picks the setting, writes the ads, and keeps optimizing inside the Google and Meta accounts you already own.

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