This guide shows you the range of options we offer to get responses for your experiments.
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.
This option provides you with a selection of pre-defined sample definitions. You can select either:
Once you have entered the required number of responses, the system will provide an estimated cost, timeframe, and feasibility.
For any pre-defined panel, 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.
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.
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:
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).