Does the name actually fit, or does it just sound fine in the meeting room?
A name that survives a shortlist conversation internally can still fall apart the first time someone outside the room has to say it out loud or explain what it means. Brand Perception tests fit, ease, and association directly.
Three separate questions, not one
"Do you like this name?" collapses three genuinely different problems into one vague answer. A name can feel right for the brand but be awkward to say out loud. It can be easy to say but bring the wrong associations to mind. Testing these separately gives you an actual diagnosis instead of a single score.
What name testing covers
- Name fit, whether the candidate feels right for what the brand actually is
- Name ease, whether it's simple to say and remember without having to think about it
- Name association, what the name brings to mind unprompted, useful for catching unintended meanings early
- Response timing on each, since hesitation on a name question is often the tell that something's not quite right
Shortlisting with real signal
Reuse the same campaign brand name field as the candidate under test, run the same question set against each option on your shortlist, and compare results side by side. The AI report reads name-testing campaigns specifically and writes a verdict about fit, ease, and association rather than a generic preference summary.
About name testing
What does name testing actually measure?
Fit (does it feel right for the brand), ease (is it simple to say and remember out loud), and association (what does it bring to mind), three separate questions built into the standard bank.
Can I test more than one name at once?
Yes, run the same question set against each candidate name as a separate campaign, or structure a single campaign to compare a shortlist directly.
Is this useful for product names, not just company names?
Yes, the same fit, ease, and association questions work for a product or feature name as well as a full brand name.