View-Through Rate

Metric · 2 min read

View-through rate

View-Through Rate measures how many users convert after seeing – but not clicking – your ad. Here’s everything you need to know: what it is, why it matters, how to calculate it, and how to optimize it!

Formula

View-Through Rate (%)=View-Through ConversionsImpressions× 100

Example. If your display ad receives 200,000 impressions and results in 1,000 users converting without clicking the ad, your View-Through Rate would be 0.5%.

Try it

View-Through Rate (%)—

Overview

What it is

View-Through Rate is the percentage of users who saw your ad and later completed a conversion, without clicking the ad. It helps measure the branding impact of display and video ads beyond direct clicks.

Why it matters

View-Through Rate gives credit to ads that influence conversions indirectly. It reveals the true value of impressions and helps marketers understand how awareness-driven ads contribute to overall performance.

How it is calculated

Divide the number of view-through conversions by the total number of impressions, then multiply by 100 to get the percentage.

Good and bad values

A good value

A good View-Through Rate depends on your industry and campaign type. For display ads, anything between 0.1–1% may indicate your ads are creating brand lift and influencing future conversions.

A bad value

A very low View-Through Rate could mean your ad isn’t leaving an impression – or your audience isn’t converting after viewing. It may signal poor creative or misaligned targeting.

Do and avoid

Do

Use these strategies to improve your View-Through Rate and capture more post-view conversions.

  1. 01

    Focus on visual impact

    Make sure your ad creative is bold, brand-consistent, and memorable – even if users don’t click immediately.

  2. 02

    Refine audience targeting

    Show ads to high-intent audiences who are likely to convert later, such as remarketing lists or custom segments.

  3. 03

    Extend the attribution window

    Use a view-through attribution window (e.g., 7 or 30 days) that matches your typical customer decision cycle.

Avoid

  1. Don’t undervalue view-through conversions just because they don’t involve clicks. But also avoid inflating results with overly long attribution windows or untargeted impressions.

Customer stories

What users are saying

Not testimonials. Comment threads.

Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.

A9re: one source of truth
Mark SimmonsMark SimmonsCMO, Pürblack®
“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
C3re: golden data
Nodari RizunNodari RizunFounder & CEO, Pürblack®
“Golden data is clean data — the measure of reality, true and not false, that you can trust based on its source. If you have that, you're good.”
E5re: dashboards vs truth
Nodari RizunNodari RizunFounder & CEO, Pürblack®
“Most businesses look at a Shopify or Google Analytics dashboard and think it's the source of truth. It's not — that data was never cleaned.”

Your New Normal

Calculate View-Through Rate on your own data.

OWOX Data Marts helps you connect impression data with post-view conversions. Identify which ads, audiences, and placements drive awareness and take credit for conversions that standard metrics may miss.

  • No AI hallucinations
  • Analyst-governed definitions
  • Every number traces to SQL
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