See Creative Performance Before Spending the Media Budget

Does the ad that's liked in the meeting room create the same impact on the target audience? Test your video, storyboard, static visual, and digital creatives with real consumers. Determine which variation works stronger before going on air.

Ad testing is a research type that measures the impact of a creative on the real target audience before going on air (pre-test) or after the campaign (post-test). Metrics such as message recall, brand linkage, attention, emotional response, and purchase intent are examined. Sorbunu accelerates the ad testing process with its self-serve research infrastructure, making it easy for brands, agencies, and advertising teams to base their creative strategy on data.

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A Liked Creative and a Working Creative Aren't Always the Same

The most common mistake in ad creative selection is basing the decision on internal team preference. The agency's favorite idea, the marketing director's preferred version, and the CEO's favored approach are usually different from each other. But the real question is: which one does the target audience respond to?

Ad testing answers this question with concrete data. You show your creative alternatives to the real target audience and measure how clearly the message is carried, whether it connects with the brand, whether it catches attention, and whether it affects purchase intent.

When this measurement is done before the media budget is spent, its strategic value is much higher. Going on air with the wrong creative doesn't just lower that campaign's performance — it weakens the return on media investment. Considering the production and media cost of a TV campaign, the pre-air test investment is too small a ratio to ignore.

What Does This Research Type Measure?

The focus of ad testing is not a single message or product idea — it's the performance of the creative as a whole. How do visual, editing, sound, message, tempo, and brand visibility work together? What does the consumer understand, remember, and feel from the ad?

Testable formats:

Video ads (TV, digital, social media)

Storyboards (ideas not yet in production)

Static visuals and banners

Digital and social media creative variations

Comparison of different versions

Core measurement areas:

Message recall

What does the consumer remember after the ad?

Brand linkage

Does the ad register for the brand or the category?

Attention and interest

Does the ad catch attention? Is it watched to the end?

Emotional response

What does the ad make you feel? Trust, curiosity, or indifference?

Purchase intent

Does the ad increase purchase tendency?

Open-ended feedback

Which scene works, which message gets lost, what bothers?

Quantitative scores answer "which creative is stronger?" Open-ended responses answer "why is it stronger, where does it break?"

Select with Pre-test, Measure with Post-test

Ad testing isn't just a pre-campaign selection tool. It's also used to measure impact after the campaign. The two serve different purposes but are run on the same research infrastructure.

Pre-test:

Applied before broadcast. Compares multiple creative alternatives to determine which will perform stronger. Testing can be done even on storyboards if production isn't complete. The goal is to support the media budget with the strongest creative.

Post-test:

Applied after the campaign goes on air. Measures the ad's recall, message transfer, and impact on brand perception. Used when you want to see the campaign's real performance through consumer impact rather than media metrics (GRP, reach).

When pre-test and post-test are planned together, you can compare pre-campaign expectations with post-campaign reality in the same framework. This is especially valuable for brands with high annual ad budgets and agencies presenting campaign effectiveness reports to their clients.

Show the Creative to the Audience That Will Actually See It

To accurately measure an ad's impact, you need to show it to the audience you're targeting in your media plan. Results from questions asked to a general audience may not reflect the campaign's real performance.

With Sorbunu, you can align your research target audience with your media targeting. You can target the right segments by criteria like age, gender, region, income, category usage, and brand relationship. You can compare how the same creative is perceived across different segments in a single report.

This segment-based view is especially useful for campaigns addressing multiple target audiences. For example, a bank ad might work differently for young professionals and retirees. Or a food brand's creative that's strong in the families segment might completely disappear among Gen Z. Seeing these differences before broadcast gives the opportunity to differentiate the media plan and even creative versions by segment.

Measurement Can Also Be Done During Live Broadcast

Ad testing doesn't always have to be before or after the campaign. Some brands want to do concurrent measurement while the ad is on air. Especially in cases like TV product placement, sponsorship content, or seasonal campaigns, seeing the ad's impact at the moment of broadcast provides a strategic advantage.

With Sorbunu, you can set up research concurrent with ad broadcast. For example, you can measure the instant impact of a product placement done during a TV series on viewers: was the message recalled, was brand linkage established, did it create interest? This type of measurement differs from traditional post-test because it captures "broadcast moment" data.

This approach is especially valuable for brands wanting to substantiate their media investment ROI and agencies wanting to report sponsorship impact.

When Is This the Right Research Type?

Ad testing may not be necessary in every creative process. Knowing when it's the right research focus is important.

Choose ad testing when:

You need to decide which of multiple creative alternatives will go on air
You want pre-production feedback at the storyboard stage
You want to measure the ad's impact in the consumer's mind after the campaign
You want to link your media investment's return to creative performance
You're an agency presenting a campaign effectiveness report to your client

Consider a different research type when:

Your question is "is this packaging message credible?" (single message validation)Claim Testing →
Your question is "does this product concept generate interest?"Product & Concept Testing →
Your question is "how is the brand's overall perception changing over time?"Brand Perception Tracking →

Using claim testing and ad testing together is also a common strategy. First test the message in isolation to identify the strongest statement, then measure that message's performance within the creative whole.

How It Differs from Sibling Research Types

Ad testing vs claim testing:

Ad testing measures the performance of the creative as a whole: how do video, visual, editing, sound, and message work together? Claim testing focuses on the strength of a single message or promise. "Is this ad effective?" is ad testing's domain; "is this statement credible?" is claim testing's domain.

Ad testing vs product & concept testing:

Concept testing measures the appeal of the product idea or direction. Ad testing evaluates the performance of that product's or brand's communication creative. One focuses on "does this idea work?" the other on "does this ad work?"

Ad testing vs brand perception tracking:

Ad testing measures the impact of a specific creative, usually one-time or campaign-based. Brand perception tracking monitors the brand's overall position with regular waves. Ad testing answers "did this ad work?" while brand perception tracking answers "is our brand moving in the right direction?"

Frequently Asked Questions

Ad testing is a research type that measures the impact of a creative on the target audience. Metrics such as message recall, brand linkage, attention, emotional response, and purchase intent are examined. It can be used for two different purposes: pre-test (before broadcast) and post-test (after broadcast).

Video ads, storyboards, static visuals, digital banners, and social media creative variations can be tested. Feedback can be obtained even from storyboards if production isn't complete.

Pre-test is done before broadcast to compare creative alternatives and select the strongest variation. Post-test is done after the campaign to measure the ad's real impact in the consumer's mind. When planned together, you can compare pre-campaign expectations with post-campaign reality.

Ad testing measures the performance of the creative as a whole (video, visual, editing, sound, message). Claim testing evaluates the strength of a single message or promise. If the creative whole is at the center of the strategic decision, ad testing is right; if it's a single statement, claim testing is the right choice.

Yes. Agencies can use Sorbunu to provide pre-campaign creative data or prepare post-campaign effectiveness reports for their clients. When pre-test and post-test are designed together, a consistent data set is created from campaign start to finish.

Yes. In situations like TV product placement, sponsorship content, or seasonal campaigns, you can set up research concurrent with ad broadcast. This approach is used to capture consumer response at the moment of broadcast.

For basic creative comparisons, 600 participants is a good starting point. For multi-segment analyses or setups testing multiple variations, the sample needs to be larger.

Creative-based scores, segment breakdowns, statistical significance indicators, and open-ended responses are tracked together on a live dashboard. Results can be exported as Excel or PDF.