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  3. Data Collection - Sample

Data Collection - Sample

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  • Do you perform Quality Control on your participant sampling?

    Yes! We are committed to ensuring the highest quality of results from our testing, and one key component of this is sample quality. 

    We address this at two levels: 

    Panel side:

    Realeyes’ panels are composed of a diverse group of suppliers. Each supplier has a variety of recruitment/sourcing methods. Drawing from a wide range of suppliers and recruitment methods enables buyers to reach the broadest spectrum of respondents.

    Some of those sourcing methods include: ads and promotions across various digital networks, search engine results, word of mouth and membership referrals, social networks, online and mobile games, affiliate marketing, banner ads, offerwalls, TV and radio ads, and offline recruitment. A few of the most common supply partner categories include double opt-in panels, publishing networks, real time social media campaigns, and other types of online communities. The majority of respondents originate from double opt-in suppliers.

    In terms of respondent verification, panels can authenticate demographic information of its panelists in multiple ways - the methods utilised depends upon the panel. All survey data is 1st party. That is, it is collected by suppliers directly from their panelists. Typically this self-reported information is collected via profiling quizzes or other forms of questions.

    Suppliers use a variety of methods to validate the identities of their respondents, which includes text messages, postcards, or other forms of public data validation. Some even track answers over time to ensure consistency and flag any discrepancies they find.

    Each supplier will be different and will recruit, verify and advertise surveys in different ways, and as such there is no one all encompassing solution. 

    Realeyes side:

    Our quality control process makes sure that the participants that take are surveys are valid. However, we don’t have control over what they are writing. As in a real environment, we do get a few participants that are not interested in spending their time and writing quality responses. They usually comprise ~2% of the overall sample - not significant enough to shift any of the other analyses, and are marked as Ambiguous in our sentiment analysis.

    Realeyes' testing process is designed to maximize the prospects of participants reacting naturally to content. Intrusive quality checks would put participants on high alert and pollute the quality of their response (because it is altered by the test conditions).

    As part of our QC, we exclude sessions where:

    • Participants don’t meet the technical requirements (webcam, browser, IP address, OS, etc.).
    • Participants with poor quality recording, low emotion read, or if no face was detected in the recording.
    • Our panel partners have their own quality control process before sending their participants to our test.

    The above criteria, together with a big enough sample size, assure the quality of our participants.

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  • Can we use our own panel?

    Yes, a tech-only study is the appropriate course of action when the recruitment of sample will occur independently from us. This approach requires you to integrate our emotion measurement tests within your existing platform or survey.  

    You can learn more about the best practices for running emotion measurement tests with your own panel here.

     

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  • What demographic information can I obtain about participants?

    We capture age and gender information by default for all of our studies.  If you wish to obtain any further demographic data, you can include additional survey questions within your study.  Please keep in mind that additional survey questions may affect pricing.  You can learn more about including a custom survey question here. It's better to turn to your contact Sales person or Account Manager directly to know more about the pricing options.

    Any demographic data obtained from the additional survey questions will be uploaded to the dashboard so you can segment the emotions results by different demographic groups. For example, in the chart below you can compare the emotional responses based on region of residence. 

     

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  • Which panels do you work with?

    We work with various panel companies to ensure worldwide access and speedy turnaround times. Some of our frequent partners include PureSpectrum, Fulcrum/Lucid, Dynata, GMO as well as a number of others.

    We are able to collaborate with nearly any panel company and are continuously growing our panel partnerships. If you have a preferred panel partner that you are interested in using, let us know.

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  • What methodology is used for recruitment?

    Participant recruitment and incentivisation is fully handled by our panel partners. We purchase all sample from panel providers who adhere to ESOMAR best practice for recruitment. Incentives may range from monetary compensation to gift cards and prizes.

    The full library of ESOMAR Codes & Guidelines can be found here.

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  • How do you source sample?

    We collaborate with panel companies to ensure access to a worldwide audience. We currently service more than 60 countries, and are continuously growing our panel partnerships to extend our scope.

    You choose your target audience and specific demographics, and we will work with our partners to ensure a speedy turnaround.

     

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  • Is there a minimum number of ‘delivered’ sessions needed for analysis?

    Yes, data sets of 100+ are considered robust for emotions measurement and analysis, whereas data sets of 50-75 are adequate for detecting trends.

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  • Is there a minimum number of ‘delivered’ sessions needed to segment the data?

    Yes, if you want to segment your data by any demographic variable, make sure you have enough completes for each segment to be statistically significant – 50 per segment. 

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  • Can I provide my own sample?

    Yes. 

    We offer custom technology-only studies which seamlessly integrate into your platform. Let's talk.

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