Understand your audience

Audience research explores the needs, habits and priorities of a defined group. InstaSights uses simulated consumer responses to help you refine questions and decide what to investigate with real customers.

$99 per study

Audience researchExample result

Reusable water bottle

What matters when choosing a bottle?

A lid that prevents leaks39.3%
Easy cleaning9.9%
Keeping drinks at the desired temperature15.4%
Low price15.9%
Easy carrying and storage13.2%
Appearance and style4.5%
I would not choose a reusable water bottle1.7%
Consumer model · single-question prediction
See the question and interpretation

InstaSights studies use model-generated responses. No participants are recruited. How the research works

What you can investigate

Habits, needs, and buying decisions

01

Everyday habits

Ask how often people use a product category, where they shop, and which options they currently choose.

02

Needs and frustrations

Explore which problems matter and what people find missing from the choices available to them.

03

Buying priorities

Compare factors such as convenience, price, quality, and familiarity across selected audience groups.

Actual simConsumer output

Leak prevention leads at 39.3%

Leak prevention has the largest predicted share, at 39.3%. This question asks for one top priority, not a ranking of all features.

The question we asked

When choosing a reusable water bottle for everyday use, which one factor matters most to you?

A lid that prevents leaks39.3%
Easy cleaning9.9%
Keeping drinks at the desired temperature15.4%
Low price15.9%
Easy carrying and storage13.2%
Appearance and style4.5%
I would not choose a reusable water bottle1.7%
Question, source & settings

Question: When choosing a reusable water bottle for everyday use, which one factor matters most to you?

Context: Reusable water bottle purchase decision factors

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 the audience first

Define whose needs the study should explore

For the grocery example, “U.S. adults who shop for groceries at least weekly” describes a different audience from “all U.S. adults.” Keep that definition visible when you write questions and interpret the output.

01

Include the relevant behavior

Describe the category and activity that matter to the decision. Weekly shoppers may help explore routine store choice; restricting the brief to people already enthusiastic about your proposed service would leave other reactions outside the question.

02

Choose comparisons in advance

Select the demographic comparisons available during setup that would affect your next decision. For each result, read the group’s response count and percentage together. A small group is not interchangeable with the full study.

03

Keep simulated and observed behavior separate

The audience description guides a simulation; it is not proof that real shoppers were recruited or screened. Use customer records or research with people when you need evidence of actual habits, purchases or market prevalence.

Turn the audience definition into a decision-led research plan, then adapt the audience questionnaire. The crosstab guide shows how group counts and percentages relate using the complete oat-latte naming study.

Before you start

What to include in your brief

Download example questions
  1. Define the audience and product category you want to understand.
  2. Describe the habits, needs, or decisions you want to explore.
  3. Choose audience comparisons and a clear time period for questions about behavior.

Included in your study

Explore the results and downloads
Executive summary
A written overview of the findings
Question results
Response distributions for each question
Audience comparisons
Selected groups and their response counts
Excel & CSV
Downloads for your own analysis

Common questions

About audience research

Do I need a product idea to start?

No. You can start with a question about a category, a need, or a buying habit. A specific audience and a focused research question make the study easier to interpret.

Can I compare different audience groups?

Yes. Select the available demographic comparisons during setup. Review the response counts for each group alongside any differences.

Does this measure real market behavior?

No. Responses are simulated. Use the study to explore questions and hypotheses; use observed customer data or research with human participants to establish actual behavior or market prevalence.

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