How to get participants for your study


This guide shows you the range of options we offer to get responses for your experiments.

Target specific panel respondents

Buy responses from our panel network. Target them by location, demographics, and profiling questions.

Use a pre-defined panel

Target specific pre-defined respondents (including those who are pre-defined for your company).

Bring your own respondents

Use a list of your customers or leads, or source respondents from elsewhere.

Option 1: Target specific panel respondents

We partner with leading panel partners, such as Cint and SSI ResearchNow, to deliver quality respondents straight into your experiment. When building your experiment:

Cost per respondent varies by country, age, and other characteristics. You will be quoted in real-time. Once you launch your experiment, we will confirm feasibility and immediately start data collection, which normally takes less than two days. Conjoint.ly allows you to target respondents by country, region, age, gender and deep profiling characteristics. Specifically, you can filter respondents by questions they have previously answered to our panel provider. For example, to survey people in a certain income bracket, choose a question about income and select all the answers that correspond to the people you’d like to survey. These filtering questions vary by country.

Our panel partners will manage the incentives provided to the panelists. Incentives may include monetary payouts, coupons, points, vouchers, charity donations, and lottery draws. Respondents’ participation is voluntary. Their recruitment includes a double opt-in procedure and confirmation of their personal information. As with other respondents, we check for the quality of responses (e.g., how much time they spend per questions). With us, you only pay for quality complete responses.

Option 2: Select from a set of pre-defined panel

Explore predefined panels in your account.

This option provides you with a selection of pre-defined sample definitions. You can select either:

  • A general-purpose pre-defined panel (such as, “USA general population”), or
  • A definition of panel that has been recorded from your company’s past experiments.

Once you have entered the required number of responses, the system will provide an estimated cost, timeframe, and feasibility.

For all pre-defined panels, you can review the screening questions that are used to profile respondents. If you have a specific sample requirement that were not listed in the list of screening questions, please get in touch with us and we will set up pre-defined panels tailored to your company’s needs.

Option 3: Bring your own respondents

By default, you are provided with a link which you can share with your own respondents. This link starts to work when you launch the experiment.

Tip: Conjoint.ly works with other survey platforms. Learn how to use URLs to integrate Conjoint.ly with a survey platform such as Decipher, SurveyGizmo, or SurveyMonkey.

How many respondents do I need?

The system will automatically provide a recommended minimum sample size based on the settings of your experiment. This minimum sample size is acceptable for exploratory research. It is recommended to aim for a higher sample size if:

  • you need to achieve higher confidence in the findings (for example, when significant policy or managerial implications are attached), or
  • you are aiming to explore segments. For example, if in your experiment you are looking to explore two or three pre-defined segments (such people split by age: under 20 years old, 21 to 40 years old, 41 and over), apply the recommended sample size to each of the three pre-defined segments.

If you oversample, but keep the proportions of your groups (for example, if you are aiming at 50%/50% female/male split and your sample is still 50%/50%), there is no issue (in fact, the more the better for statistical robustness). But if your quotas are skewed (say 70%/30% female/male split instead of 50%/50%), you can re-weight using the Excel file (see the weighting columns in the “Individual preferences” sheet).