Ad testing: Why it matters and how to successfully perform it
How confident are you in your advertisement? Whether your goal is to boost sales or raise brand awareness, you need to know your ad will deliver. The best way to gain that confidence is by ensuring your ad is thoroughly tested.
Ad testing is the process of showing different ads to a sample of your target audience and asking for feedback. You can run ad tests on an entire ad or on specific aspects of it. You can also get feedback on anything from how much the ad stands out to how believable your audience finds it.
Test ad creative with your target audience and get automated scorecards without building the analysis by hand.
The amount that brands spend on ads is astronomically high: more than $500 billion (approximately £380 billion) is spent on ads worldwide, and that figure keeps growing.
Brands invest at this level because advertising delivers results. For instance, consumer packaged goods (CPG) brands see strong returns on ads across different media. The likelihood of achieving a positive return increases with pre-launch testing, which serves to identify the most effective ad concept.
Measuring advertising effectiveness through testing offers four additional benefits:
Now that you know why assessing advertising effectiveness is so important, you’re ready to dive into the process of testing your ads. Here are the four key steps you’ll need to follow:
Your stimuli could be videos, images, copy, audio or any combination of these. When choosing the format, consider the platform where each ad will appear. For example, you might design a LinkedIn ad for professionals differently from a Facebook or Google search ad.
Use at least three stimuli per test to get a fair understanding of your target audience's preferences. The exact number also depends on your survey design: monadic or sequential monadic.
| Survey design | How it works | Trade-off |
| Monadic | Each respondent sees and rates only one stimulus; results are compared across separate respondent groups afterward | Lets you ask more questions per stimulus and keeps each survey short, but needs a larger total audience, which can get costly |
| Sequential monadic | Each respondent sees two or more stimuli and answers the same questions on each | Needs a smaller total audience, which is more cost-effective, but limits how many questions you can ask per stimulus to keep the survey a manageable length |
If you prefer a monadic design, stick to testing just a few stimuli. With a sequential monadic design, you can test more options with ease. Find out more about the advantages and disadvantages of each approach and how to implement them.
What makes one ad better than another? The metrics you measure help you decide. Consider these top ad metrics:
The most important metric depends on your goal. If your top priority is influencing sales, purchase intent may matter most. If brand differentiation is the focus, uniqueness may take priority instead.
You can measure any metric using a Likert scale question, asking “How (metric) is the ad?” with responses ranging from “Extremely (metric)” to “Not at all (metric)”. For believability, for example, the question would be:
How believable is the ad?
Your ad testing survey should also include screener, category and demographic questions. Discover more about each type in the comprehensive concept testing guide.
These resources could be exactly what you need!
Ultimate guide to running market research: This resource covers everything you need, from planning your study to putting insights into action.
Ad testing survey template: This expert-certified template is great for sparking ideas for your questions. You can use and edit it in any way you like.
SurveyMonkey Audience: Our global consumer panel enables you to survey people in over 130 countries.
Market research services: From survey consultation to team training sessions, our experts will make sure your research using SurveyMonkey Audience goes smoothly.
You can only assess the quality of your ads once your target audience has reviewed them. Identify your target profile and invite them to share feedback in one of two ways:
Once you’ve collected responses, compare the ads to each other. To focus on the most meaningful data and keep your analysis simple, use Top 2 Box scores: this involves combining the two highest positive responses for each metric into a single percentage. For example, if 30% of respondents say an ad is extremely believable and 20% say it’s very believable, your Top 2 Box score is 50%.
Compare an ad's Top 2 Box scores across every metric against the other ads you tested. In one illustrative example, Ad B wins on purchase intent and appeal while Ad A wins on believability; assuming each metric matters equally, Ad B would be the pick over Ad A. This is the kind of side-by-side scorecard result this method is designed to produce once your own responses come in.
Don't skip your open-ended questions (the ones without preset answer choices). A word cloud can help you quickly spot the key takeaways on each ad.
For a more detailed walkthrough of each step, read the ultimate guide to concept testing.
You can also try in-market testing, where you launch your ads live and use A/B testing to measure their performance, showing each ad to a percentage of your actual audience.
In-market testing tells you how people actually respond, but it's riskier and costlier since some concepts may perform poorly live.
The best approach combines both methods: test your ads before launch, then A/B test your shortlist of winners to see how each one performs in the real world.
While your product is still in development, your focus may be on other testing priorities, such as name testing or logo testing.
Start ad testing as soon as your product launches. At this early stage, your audience will be seeing your adverts for the first time, so focus on broad, directional feedback and identify which messages are landing well before progressing further.
As your product matures, your approach to testing should become more targeted. During the maturity phase, you might compare different image concepts for your advert. By the time you reach the saturation phase, your focus could be as refined as testing only the colours of the image you already plan to use.
Running multiple ad tests throughout the product life cycle is based on agile market research – a method that relies on frequent rounds of data collection to meet your organisation’s evolving needs. It’s a manageable process that enables your team to make better decisions more regularly.
Keep these five key points in mind as you start your testing:
Ad testing is the process of presenting different ad concepts, such as images, videos or copy, to a sample of your target audience and collecting feedback on metrics like appeal, believability and purchase intent before launching the ad.
Ad tests are used to compare several ad concepts before launch, helping you decide which version works best on the metrics that matter most to your campaign, whether it’s boosting sales, increasing brand awareness or another goal, before committing your full media budget to one option.
Testing advertising before launch, sometimes called pre-launch or concept ad testing, surveys a sample audience about ad concepts that haven't gone live yet. A/B testing, sometimes called in-market testing, pushes ad versions live to real audiences and measures actual performance. Pre-launch testing is cheaper and lower-risk; A/B testing shows real-world behaviour but risks running an underperforming ad live.
Ad testing research usually measures appeal, believability, purchase intent, relevance and uniqueness, often by using Likert-scale survey questions. These scores are then compared across different ad concepts using techniques such as Top 2 Box scoring.
You've learned why ad testing matters, how to run your own test and how to keep your results reliable.
SurveyMonkey provides a variety of market research solutions, from DIY surveys to fully managed studies.
Ad Testing from SurveyMonkey LaunchPad takes care of survey design and analysis for you, so you can have peace of mind knowing the days of launching high-risk ads are behind you.
If you’d prefer to leave the hard work to someone else, SurveyMonkey Market Research Services can design, field and analyse a bespoke study for you, from creating the questionnaire to delivering the final report.

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