Message and Claims Testing
Test and optimize your marketing messages, value propositions, and product claims using AI personas before launch. This synthetic research approach reveals which messages resonate most strongly with your target market, identifies performance drivers, and helps you choose winning messaging without the cost and time of traditional testing with real respondents.

What is it Used For?
Message and claims testing evaluates consumer response to marketing language, value propositions, and product assertions to identify which messages drive the strongest engagement, conversion, and brand recall. This market research methodology helps businesses optimize their messaging strategy by measuring appeal, credibility, uniqueness, and purchase intent across different message variations. Companies use message and claims testing to screen multiple messaging concepts and identify winners before investing in full campaigns, validate that marketing claims are believable and compelling to target audiences, test different value propositions or positioning strategies to find what resonates most strongly, evaluate taglines, slogans, and key marketing phrases for memorability and impact, assess product benefit claims and feature descriptions for clarity and appeal, ensure messaging aligns with brand values while driving desired customer actions, and reduce the risk of launching campaigns with weak or confusing messages that fail to connect with their intended market. The methodology works particularly well for advertising campaigns, product launches, website copy, packaging claims, and any situation where the right words can significantly impact customer response and business results.
Real-World Example
How We Found a 103x Performance Winner Nobody Expected
For our very first client at my agency Ladder, we were tasked with promoting a fintech app and needed to find messaging that would drive app downloads at scale. The challenge was massive - we knew that the right message could make or break our campaign performance, but we had no idea which direction would work.
We decided to go big with our testing approach. Instead of testing just a few message variations, we ran large-scale campaigns testing hundreds of different creatives. We tried everything - different value propositions, emotional appeals, rational benefits, various wordings and phrases. We tested messages focused on saving money, building wealth, financial security, and smart spending habits.
The testing revealed something none of us saw coming. While our team was convinced that straightforward financial benefit claims would perform best, the winning format was completely different: before and after images showing financial dilemmas and smart decisions you could make using the app.
The winning concept showed simple comparisons like "iCanAfford" vs "iPhone" - demonstrating how the app could help users visualize their financial goals and make smarter spending choices. These weren't sophisticated value propositions or clever copy. They were basic before/after scenarios showing the outcomes of different financial decisions.
But the results were staggering. This message format drove 103x more downloads than any other creative variation we tested. Not 3x or even 10x - but 103 times more effective than our other messaging approaches.
We immediately shifted our entire messaging strategy around this winning concept. The core claim we were testing - that we could help users achieve their financial goals through better decision-making - landed most powerfully when shown through these concrete before/after examples rather than abstract benefit statements.
This single messaging insight sustained massive performance gains for six months, consistently outperforming everything else we tried. Eventually, creative fatigue set in as people had seen the format too many times, forcing us back to the drawing board to test completely new messaging directions.
The lesson was clear: assumptions about what messages will work are often completely wrong. The messaging that performed 103x better than everything else was something nobody on our team predicted would succeed. Without systematic testing, we would have missed the biggest performance opportunity entirely.
How to Conduct This Research in Ask Rally
Step 1: Define Your Message Testing Scope
Start by clarifying what messaging elements you want to test - complete value propositions, specific claims, headlines, taglines, or individual phrases. Consider your campaign objectives, target metrics, and the messaging decisions that will most impact performance.
Step 2: Generate Your Target Personas
Create AI personas that match your target audience profile. Include demographics, psychographics, pain points, and purchase behaviors. For comprehensive testing, generate 200-500 personas across different segments to capture audience diversity and ensure your results represent your full market.
Step 3: Prepare Your Message Variations
Develop multiple message concepts or claims to test. Include different value propositions, emotional vs. rational appeals, benefit-focused vs. feature-focused claims, and various tones or styles. Test 5-15 variations depending on your scope - enough to identify clear winners without overwhelming personas.
Step 4: Present Messages in Realistic Context
Show personas your messages as they would encounter them in real marketing environments. Include surrounding context like ad placements, website headers, email subject lines, or social media posts to get authentic reactions to how the message performs in practice.
Step 5: Measure Core Message Performance Metrics
Evaluate each message on dimensions that predict success: immediate appeal and first impression, clarity and understanding of the key benefit, credibility and believability of claims, uniqueness compared to competitor messaging, memorability and recall potential, relevance to personal needs and situations, and likelihood to take action or make a purchase. Ask personas to explain their reasoning to understand what drives their reactions.
Step 6: Test Individual Message Components
Beyond overall message performance, isolate specific elements like headlines, key benefits, supporting claims, or call-to-action phrases. Understanding which components drive performance helps optimize future message development and identifies which claims are strongest.
Step 7: Analyze Performance Patterns
Look for messages that score consistently high across multiple metrics and persona segments. Identify which value propositions, benefit claims, or emotional appeals drive the strongest positive responses. Pay attention to unexpected winners that outperform internal favorites.
Step 8: Validate Emotional and Rational Appeal
Test not just rational understanding but emotional impact. Measure how messages make personas feel and whether they create the intended brand associations. Both emotional connection and rational credibility predict real-world message performance.
Step 9: Segment by Audience Response
Analyze how different persona segments respond to each message. Look for opportunities to use different messages for different audiences or identify messaging approaches that work across all segments for maximum efficiency.
Step 10: Plan for Message Refresh
Use insights to guide your ongoing message development. Understand what makes messages work so you can iterate and refresh before message fatigue sets in. Build a pipeline of tested messaging concepts for future campaigns.
Starter Prompt Template
Use this prompt template to get started with message and claims testing in Ask Rally:
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