Name Testing
Test and validate your product names, brand names, or service titles using AI personas before making final decisions. This synthetic research approach reveals which names resonate most strongly with your target market, identifies potential issues early, and helps you choose names that drive memorability, appeal, and purchase intent. Get instant insights into name performance without the cost and complexity of traditional naming research with real respondents.

What is it Used For?
Name testing evaluates consumer response to potential brand names, product titles, or service names to identify which options have the strongest market appeal and memorability. This market research methodology helps businesses avoid the common pitfall of choosing names based on internal preferences rather than customer reactions. Companies use name testing to screen multiple naming options and identify winners before committing to expensive branding and marketing campaigns, validate that chosen names communicate the right brand attributes and don't create negative associations, ensure names are memorable and easy to pronounce across different demographic segments, test names for different markets or product lines to maintain brand consistency, assess whether names stand out from competitors while still fitting within their category, and reduce the risk of costly rebranding by catching naming problems before launch. The methodology works particularly well for consumer products, technology brands, service businesses, book titles, and any situation where the name significantly impacts first impressions and market success.
Real-World Example
One of the most famous examples of smart name testing comes from Tim Ferriss and how he chose the title for "The 4-Hour Work Week." Originally, Ferriss wanted to call his book "Drug Dealing for Fun and Profit" - a provocative title that his editor quickly shot down for obvious reasons.
Instead of guessing which alternative would work best, Ferriss decided to test his options using a clever Google Ads experiment. He identified relevant keywords that his target audience would be searching for - terms like "401k," "world travel," "retirement," and "language learning." Then he created ads featuring different potential book titles to see which ones generated the most clicks.
His shortlist included several options: "Broadband and White Sand," "Millionaire Chameleon," and "The 4-Hour Work Week." While it seems obvious now that "The 4-Hour Work Week" would be the winner - given that it became a massive bestseller - at the time it wasn't Ferriss's personal favorite.
After running the test for a week, the results were clear: "The 4-Hour Work Week" had the highest click-through rate by a significant margin. The entire experiment cost him just $200, but it led to choosing a title that would eventually sell millions of copies and launch an entire personal brand.
What makes this story so compelling is how counterintuitive the results were. The winning title wasn't the most creative or the most personally appealing to the author - it was simply the one that resonated most strongly with real people who were actively searching for solutions to work-life balance problems.
Today, you could run this exact same type of name testing using AI personas in Ask Rally without spending $200 on Google Ads or waiting a week for results. You could generate hundreds of personas representing your target audience and test unlimited naming variations instantly.
How to Conduct This Research in Ask Rally
Step 1: Define Your Naming Context
Start by clearly describing what you're naming - product, service, book, company, or campaign. Include key features, target market, competitive landscape, and the main benefits or emotions you want the name to convey.
Step 2: Generate Your Target Personas
Create AI personas that match your ideal audience profile. Consider demographics, psychographics, industry knowledge, and purchase behaviors. For comprehensive testing, generate 200-500 personas across different segments.
Step 3: Prepare Your Name Options
Present 3-8 potential names for testing. Include your top internal favorites along with more creative or unexpected options. Avoid testing too many names at once as this can overwhelm personas and reduce response quality.
Step 4: Test Core Name Metrics
Measure the essential elements that predict naming success: immediate appeal and first impression, memorability and ease of recall, relevance to your product or service category, uniqueness compared to competitors, pronunciation difficulty and spelling complexity, and emotional associations or mental images the name creates. Ask personas to explain their reasoning to understand what drives their reactions.
Step 5: Use Monadic Testing Approach
Show each persona only one name to avoid comparison bias and get pure reactions. This approach mirrors real-world conditions where customers encounter your name in isolation, not compared to alternatives.
Step 6: Test Names in Context
Present names within realistic scenarios - as they would appear in ads, on packaging, in search results, or in conversation. Context significantly impacts how names are perceived and remembered.
Step 7: Measure Behavioral Intent
Beyond asking what personas think, measure their likely actions: click-through intent if it were an ad, likelihood to remember and search for the name later, willingness to recommend or share the name, and purchase consideration if they encountered this name in the market.
Step 8: Analyze Response Patterns
Look for names that score consistently high across multiple metrics and persona segments. Pay attention to unexpected winners that outperform internal favorites - these often indicate market opportunities.
Step 9: Test Memorability with Follow-up
After initial evaluation, return to the same personas days later with a fill-in-the-blank memory test to see which names stuck. True memorability can only be measured through recall, not recognition.
Starter Prompt Template
Use this prompt template to get started with name testing in Ask Rally:
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