Compare preferences
See how first choices are distributed across your shortlist.
Name testing compares supplied names in the same product or business context. Explore preferences and associations with model-generated responses; check trademark and domain availability separately.
$99 per study
Reusable water bottle
InstaSights studies use model-generated responses. No participants are recruited. How the research works
What you can investigate
See how first choices are distributed across your shortlist.
Explore whether each name suggests the qualities you want to convey.
Compare preferences across selected demographic groups, with group sizes visible.
Actual simConsumer output
Trail & Table leads Daily Sip by 6.8 percentage points. This is a preference prediction, not evidence of a decisive winner.
Which name best fits a reusable 20-ounce stainless-steel water bottle with a leak-resistant lid, removable tea infuser, and dishwasher-safe body?
Question: Which name best fits a reusable 20-ounce stainless-steel water bottle with a leak-resistant lid, removable tea infuser, and dishwasher-safe body?
Context: Reusable stainless-steel water bottle naming test
Simsurveys simConsumer model · October 15, 2026. Single-choice question, no demographic filters or conditioning. Percentages are predicted probabilities, not respondent counts. Rounding may total 99.9% or 100.1%.
Download all five questions and results (JSON)For a complete study with multiple questions, audience comparisons and response-level downloads, explore the oat-latte naming study.
Choose your next step
A name test compares reactions to supplied names in a defined product context. Choose the response source and questions according to the decision you need to make.
Start with exact candidate names, one product description and the audience you want to understand. Use the seven-question naming template to separate preference from product fit.
An InstaSights study generates responses without recruiting participants. Inspect the oat-latte naming example, including its data notes, to see how preferences, rankings and audience comparisons can differ.
If your decision requires answers collected from real consumers, choose a human-response study. Compare the documented workflows of PickFu and Conjointly. Trademark, linguistic and domain checks remain separate.
Ready to prepare a study? Build an editable brief and review study prices and allowances before moving into the app.
From ideas to a shortlist
A naming study starts with candidates you supply. It is not a name generator or an availability search. Decide what the name should communicate before comparing the alternatives.
Use the same product description, price context and presentation for every name. Comparing a name with a detailed brand story against a name shown alone changes more than the name.
Ask about first choice and the intended associations separately. A name can attract attention without suggesting the qualities the product needs to communicate.
If preferences are close or measures disagree, keep alternatives open. Inspect the question wording and group counts, then decide what evidence would help before committing.
Use the annotated naming questionnaire to build your comparison. For an actual generated example with close preferences, read the oat-latte naming study; it is separate from the single-question simConsumer example above. Trademark, domain and other adoption checks remain separate tasks.
Common questions
Yes. Describe what the business does and who it serves. Keep that description consistent so the alternatives are evaluated in the same context.
Keep more than one candidate under consideration. Review associations and audience-group sizes before deciding what to investigate next.
No. It explores consumer reactions to names. Check availability separately before adopting a name.
One complete study for $99