Using a Predefined panel

Predefined panels on Conjointly offer a wide range of existing sample definitions, including:

• General-purpose Predefined panels, such as the USA general population and the UK general population.
• Highly specific Predefined panels, such as cat or dog owners in Australia and head of sales / marketing in the US IT industry.
• Previous panel definitions that were drawn from your company’s past experiments.

Choosing a Predefined panel

When you select the Use a Predefined panel option, search for the panel that matches your requirements. You can review the panel’s average cost, speed, screening questions, and more. After selecting a panel and entering your required number of responses, the system will provide an estimated cost and data collection time.

• Target sample size.
• Demographics (if required).
  • Location (including any regional quotas or restrictions).
  • Age range.
  • Gender.
  • Income.
  • Other relevant demographic information.
• Screening criteria (if required).
  • Past purchase behaviour, shopping habits or intent to buy x product (i.e. buyers of cars in the past 6 months).
  • Target profile (homeowners, pregnant women, etc.).
• Any additional quotas (if required).
• Recurring data collection requirements (if required for time series analysis).

We will get back to you with an estimated cost and feasibility of your panel request.

Common definitions used in a Predefined panel

Below are some common definitions you will likely see in the list of Predefined panels:

• Users - Current users of the product being tested.
• Non-users - Respondents who are currently not a user of the product being tested.
• Considerers - Current non-users who would at least consider purchasing the product being tested.
• Non-rejectors - Current non-users who are not considerers but still may purchase the product.
• Rejectors - Current non-users who would not consider purchasing the product/brand being tested.
• P12M - Respondents who were users of the product in the past 12 months (duration can be modified to past 3 months (P3M), past one year (P1Y), etc.).
• N12M - Respondents who are likely to purchase a product in the next 12 months (duration can be modified to next 3 months (N3M), next 2 years (N2Y), etc.).

For example, screening questions for consumers of instant noodles can be:

• Which of the following ready-to-eat meals do you usually purchase for your personal use? Please select all that apply.

  • Macaroni and cheese
  • Instant noodles (Users if selected)
  • Soup
  • Mashed potatoes
  • Lasagna

• [shown to Non-users] Would you consider buying instant noodles for your household?

  • Definitely would consider (Considerers)
  • Probably would consider (Considerers)
  • Maybe (Non-rejectors)
  • Probably would not consider (Rejectors)
  • Definitely would not consider (Rejectors)

By default, we recommend including both users and non-rejectors in the survey to obtain comprehensive insights that may aid in identifying new conversions. In addition, including only users may introduce bias into the results as users have already bought into the benefits of the product.

Standard procedure for different quota types

Conjointly follows these standard procedures for managing different quota types to ensure your Predefined panel aligns with your research objectives and project requirements.

Hard quotas

• Hard quotas are implemented within a 5% margin of error.
• For example, if we commit to 100 male as a hard quota, we will deliver between 95-105 male respondents.

Soft quotas

• Soft quotas are implemented with a 20% margin of error. Once this margin is reached, we will prioritise speed if the deadline is approaching to ensure timely completion of your research.
• For example, if we commit to 100 males as a soft quota, we will do our best to deliver 100 male respondents. However, in the event that the deadline is approaching in 1-2 days:
  • If we have 80+ males (20% of the soft quota), we will re-open any female screen-outs to reach the full target sample.
  • If we have less than 80 males, we will reach out to you to discuss either relaxing the male quota or continuing to fill quotas with possible delays.

Natural fall quotas

• Natural fall quotas are implemented by including a question in the survey to capture the relevant options and monitoring the natural distribution.
• For example, when we commit to a natural fall quota for ethnicity, we will have to add and monitor the Ethnicity question.
  • If we find that an ethnicity group (e.g. Hispanic) is significantly lower than the expected rate or census data (e.g. getting 1/100 responses while the census representation for Hispanic is 10%),
    1. We will try to boost through profiled groups or other means that do not affect the overall speed or incur too high of an additional cost to us.
    2. If boosting proves challenging, we will contact you to discuss whether the skew would affect your study and potentially recommend a booster panel to ensure good distribution.
  • If an ethnicity group is only slightly lower than expected (e.g. getting 5/100 responses while the census representation is 10%), we will continue monitoring without alerting you or making changes to our sampling plan.

FAQs

How quickly can you get results for a general population survey in the US with less than 10 questions?

For a 200–500 respondents gen pop (general population) study, data collection should take 1-2 days. Please see the US gen pop Predefined panel for more details.

Each Predefined panel shows the average number of responses that can be collected per day and the estimated data collection time, which is different depending on the specificity of the sample.