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Stop testing ads in isolation. Start building creative intelligence.

Daniel Braithwaite
Daniel Braithwaite

The problem with treating creative testing as the finish line

For years, creative testing has been treated as a box to tick before launch. Brands develop an idea, produce an ad, then conduct a pre-test to determine whether it’s ready for market.

This provides valuable insight into how an individual execution is likely to perform. But too often, the process ends there. Results are used to make a decision on a single asset, without building a broader understanding of what consistently drives creative success. 

As campaigns become more complex, spanning multiple channels, formats and audiences, brands need more than a simple launch verdict. They need to understand why creative works, how it performs in different contexts, and how those learnings can be applied to future campaigns. 

Creative intelligence with Toluna goes beyond evaluating individual ads. By combining measures of attention, engagement, and behavioral response, brands can understand whether creative works, as well as why it works. AI-powered testing enables evaluation at an unprecedented scale, while meta-analyses turn individual results into cumulative learning across campaigns. The result is stronger creative decisions, more efficient investment, and better outcomes over time. 

“Great ads aren’t just seen, they’re felt, remembered and acted on.” 

Creative intelligence goes beyond pass-or-fail testing

Our research shows that ads with strong pre-launch test results deliver 46% higher revenue than untested ads. Knowing what works and what doesn’t is an essential step to any successful ad campaign. But understanding why an ad performs better is what enables brands to make meaningful improvements and apply those learnings to future campaigns.  

This creative intelligence requires deeper insights beyond individual performance metrics. Brands will need to explore how people actually experience advertising by asking questions such as:  

At Toluna, we approach creative intelligence through two complementary dimensions of measurement: breakthrough and response. Breakthrough examines whether creative captures attention and remains in memory, while response explores how audiences react and whether that attention translates into meaningful engagement or action. 

Context is equally important. An ad viewed in isolation may generate a very different response from one encountered while scrolling through social media or watching online video. In today’s crowded digital environments, the first challenge is simply earning attention.

Measuring creative within realistic media contexts helps brands understand whether advertising can achieve breakthrough: capturing attention and remaining memorable despite heavy competition for consumers’ time. Combined with measures of response, this provides a deeper understanding of not only whether creative works, but how and why it is likely to succeed in market. 

A connected approach to building intelligence

Providing a broader understanding of creative effectiveness requires more than one method of research. Different stages of creative development call for different types of insight, from rapid screening of early concepts to deeper exploration of consumer reactions and in-market performance.

AI-powered research can accelerate the process by screening multiple creative concepts and identifying opportunities for improvement. Quantitative research helps measure how audiences respond, while qualitative insights uncover the motivations and emotions behind those responses.

Combined with expert interpretation and real-world performance metrics, these approaches create a more holistic understanding of creative effectiveness and support data-driven decisions through each phase of the campaign. The key is knowing which methods to use, when to use them, and how to connect the findings.

“Don’t just test more ads. Learn more from every ad you test.” 

Better creative starts with better understanding

Creative testing remains an essential part of effective advertising. That said, brands can gain even more value by building a deeper, ongoing understanding of what makes creative work.

At Toluna, we believe this requires a connected approach that combines the speed and scale of AI with real human insights, proven research methodologies, and expert guidance. By bringing these elements together, brands can move beyond measuring performance to continuously improving and making more confident marketing decisions.

The campaign launch is just the beginning

Pre-launch testing helps brands anticipate how their creative is likely to perform and identify ways to improve before making a big financial investment in the campaign. But even if an ad earns high marks, an effective testing process is still far from the finish line.

The next step is in-market measurement. This adds another valuable layer of intelligence by revealing how campaign activity has impacted the brand. Connecting these findings with pre-launch test results helps marketers understand which creative elements are driving effectiveness and where further optimization may be needed.

With this, brands create a continuous learning cycle that enables insights from one campaign to inform the next. Rather than treating every new ad as a separate research project, you’re accumulating knowledge of what captures attention and drives consumer response. Over time, this approach transforms creative testing from a series of isolated assessments into an ongoing source of intelligence that supports smarter creative decisions and marketing investment.

Ready to put creative intelligence into practice? Download our free quick guide to discover which research approaches to use at different stages of creative development.

Toluna’s Creative Intelligence Quick Guide

Choose the right research approach at every stage of creative development 

Creative intelligence is developed by connecting different types of research to understand how advertising captures people’s attention and influences behavior. From screening early creative ideas to measuring performance in-market, each stage of the creative journey raises different questions. Answering them effectively requires the right combination of speed, insight, and human understanding. 

AI-powered research can help brands evaluate more creative executions faster and at greater scale. Quantitative research measures audience response and predicts likely outcomes, while qualitative in-context approaches help uncover why people respond the way they do and how creative performs within real media environments. In-market measurement adds a further layer of understanding by revealing what happens once campaigns go live.  

The key is knowing which approach to use at each stage and how to connect the findings into a continuous learning process. 

Which research approach should you use? 

Turn every creative decision into an opportunity to learn

Instead of testing every ad with every available methodology, creative intelligence enables you to ask the right questions, select the appropriate research approaches, and connect the findings. In doing so, you’ll move beyond isolated performance assessments toward a continuous process of learning and improvement. 

Discover how Toluna combines AI-powered research, human insights, and proven methodologies to help brands create more effective advertising

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