ESOMAR 28

ESOMAR 28

ESOMAR 28

  1. What experience does your company have in providing online samples for market research?

We have been delivering high-quality online samples for market research since our launch in February 2022. We currently facilitate over 350,000 survey completes per month across 60 countries and 29 languages. Our user base consists of 900,000+ monthly active users, and it continues to grow rapidly.

Backed by a team of market research experts with decades of industry experience, we ensure high-quality sampling through rigorous methodologies, advanced data validation, and a deep understanding of respondent engagement. Our extensive reach and expertise allow us to provide reliable and representative samples tailored to diverse research needs.

  1. Please describe and explain the type(s) of online sample sources from which you get respondents. Are these databases? Actively managed research panels? Direct marketing lists? Social networks? Web intercept (also known as river) samples?

We source respondents through a combination of performance marketing via trusted acquisition channels, influencer marketing, and a structured referral program. Our recruitment strategies are designed to ensure a highly engaged and research-focused audience, with respondents acquired specifically for market research purposes rather than unrelated activities.

  1. If you provide samples from more than one source: How are the different sample sources blended together to ensure validity? How can this be replicated over time to provide reliability? How do you deal with the possibility of duplication of respondents across sources?

We provide samples exclusively from our proprietary apps, maintaining 100% control over the process. Since we do not rely on third-party providers, there is no need for external source blending. To ensure sample validity, we implement internal balancing methods and quota-based sampling across our apps. Each user is assigned a unique ID across multiple apps, preventing duplication, and our system further blocks duplicate survey attempts using device fingerprinting.

  1. Are your sample source(s) used solely for market research? If not, what other purposes are they used for?

Our sample sources are primarily used for market research; however, we also strive to keep users engaged with our apps by providing alternative ways to earn money between research studies.

  1. How do you source groups that may be hard to reach on the internet?

We take a wide-net approach to respondent acquisition, ensuring broad and continuous panel growth. As our panel expands, hard-to-reach audiences naturally emerge within our diverse and growing user base. Additionally, our multi-source recruitment strategy increases the likelihood of capturing niche demographics over time.

That said, we prioritize transparency in our feasibility assessments. If a specific audience proves too difficult to reach, we proactively inform researchers rather than overpromising, allowing for adjustments in methodology or expectations. Our goal is to provide realistic, data-driven insights while maintaining the highest standards of research integrity.

  1. If, on a particular project, you need to supplement your sample(s) with sample(s) from other providers, how do you select those partners? Is it your policy to notify a client in advance when using a third-party provider?

We do NOT supplement with third-party providers.

  1. What steps do you take to achieve a representative sample of the target population?

We achieve a representative sample exclusively through Quota-Based Sampling with Advanced Targeting. Our approach ensures that the sample aligns with the required demographics, behaviors, and other study-specific criteria while maintaining data quality and feasibility.

Our quota sampling methodology is powered by:

  • Profile Data – Leveraging self-reported demographic and psychographic information.

  • Behavioral Data – Analyzing user interactions and past survey participation to refine targeting.

By combining these data points, we ensure that our sampling is precise, balanced, and representative of the target population, delivering reliable insights without the need for alternative sampling methods.

  1. Do you employ a survey router?

No

  1. If you use a router: Please describe the allocation process within your router. How do you decide which surveys might be considered for a respondent? On what priority basis are respondents allocated to surveys?

N/A

  1. If you use a router: What measures do you take to guard against, or mitigate, any bias arising from employing a router? How do you measure and report any bias?

N/A

  1. If you use a router: Who in your company sets the parameters of the router? Is it a dedicated team or individual project managers?

N/A

  1. What profiling data is held on respondents? How is it done? How does this differ across sample sources? How is it kept up-to-date? If no relevant profiling data is held, how are low-incidence projects dealt with?

We collect and maintain comprehensive respondent profiling data, including demographic, behavioral, and attitudinal attributes, to ensure high-quality sampling. Our system utilizes predictive modeling and historical data to match respondents to surveys based on their past participation, engagement patterns, and profile characteristics.

Additionally, we employ real-time profiling updates to continuously refine respondent attributes, ensuring best-fit matching for each study. Our data is securely maintained and adheres to strict privacy regulations (GDPR, CCPA) to protect respondent confidentiality while optimizing research feasibility.

  1. Please describe your survey invitation process. What is the proposition that people are offered to take part in individual surveys? What information about the project itself is given in the process? Apart from direct invitations to specific surveys (or to a router), what other means of invitation to surveys are respondents exposed to? You should note that not all invitations to participate take the form of emails.

We invite respondents through our survey offer wall, where they can browse and participate in surveys that match their profile. Additionally, we use mobile and email notifications to inform users about new survey opportunities, ensuring timely engagement.

When invited, respondents receive survey length and incentive details, allowing them to decide whether to participate. No additional information about the survey is provided.

Our invitation process ensures that users can easily access and engage with available surveys through direct in-app browsing or notifications.

  1. Please describe the incentives that respondents are offered for taking part in your surveys. How does this differ by sample source, by interview length, by respondent characteristics?

Respondents receive cash-based rewards such as PayPal payments and gift cards upon successful survey completion. The specific reward options vary by country, ensuring that respondents can redeem incentives through locally preferred and widely accessible payment methods. This approach enhances engagement and retention by offering meaningful compensation tailored to different markets.

  1. What information about a project do you need in order to give an accurate estimate of feasibility using your own resources?

We estimate feasibility based on real-time panel availability and key survey parameters such as target audience criteria (demographics, quotas, and screening requirements), survey length, incidence rate (IR), and geographic scope.

  1. Do you measure respondent satisfaction? Is this information made available to clients?

Yes, we measure respondent satisfaction using behavioral metrics such as panel longevity, lifetime value (LTV), and frequency of activity, which provide insights into respondent engagement and retention. However, this data is used internally to optimize the respondent experience, and we do not share it with clients.

  1. What information do you provide to debrief your client after the project has finished?

Our internally built systems handle data quality checks using algorithmic rules and predictive modeling. These systems analyze behavioral patterns to identify and filter out fraudulent users, ensuring the integrity and reliability of our survey data.

  1. Who is responsible for data quality checks? If it is you, do you have in place procedures to reduce or eliminate undesired within-survey behaviors, such as (a) random responding, (b) illogical or inconsistent responding, (c) overuse of item non-response (e.g. "Don't Know") or (d) speeding (too rapid survey completion)? Please describe these procedures.

To ensure high-quality responses, we implement the following procedures when we are responsible for building out the research and developing the surveys:

Random Responding: Our system analyzes response patterns and flags inconsistencies that indicate random answering.

Illogical or Inconsistent Responding: Logic checks identify contradictory answers within the survey, helping to detect low-quality responses.

Overuse of Item Non-Response ("Don't Know"): If a respondent selects "Don't Know" excessively, the system flags them for potential disqualification.

Speeding (Rapid Survey Completion): We track response times and compare them to expected completion benchmarks. Respondents completing surveys too quickly are flagged for review or removal.

However, when we are only providing the sample, it is the responsibility of the sample buyer to implement their own quality control measures, as we do not have access to the survey itself.

  1. How often can the same individual be contacted to take part in a survey within a specified period whether they respond to the contact or not? How does this vary across your sample sources?

Respondents can receive a maximum of 8 notifications within a 24-hour period, regardless of whether they enter a study or not. These notifications inform them when a survey matching their profile is available but do not repeatedly prompt them about the same study.

Since we source respondents exclusively from our proprietary apps, this limit applies uniformly across all sample sources. This approach ensures a balance between engagement and preventing over-contacting respondents.

  1. How often can the same individual take part in a survey within a specified period? How does this vary across your sample sources? How do you manage this within categories and/or time periods?

On average, respondents enter 3 surveys per day. While there is no strict limit on how often an individual can take part in surveys, participation is naturally regulated based on survey availability, respondent profile matching, and quota requirements.

Since we source respondents exclusively from our proprietary apps, this participation rate remains consistent across our sample sources. Survey eligibility is determined dynamically based on profiling data, previous participation, and study requirements.

To manage participation within categories and time periods, our system ensures that respondents are not repeatedly exposed to the same survey or overrepresented in specific research segments. This helps maintain data quality and prevent survey fatigue while ensuring diverse and representative sampling.

  1. Do you maintain individual-level data such as recent participation history, date of entry, source, etc., on your survey respondents? Are you able to supply your client with a project analysis of such individual-level data?

Yes, we track respondent history, participation trends, and engagement levels to ensure efficient sampling and quality control. Our system maintains individual-level data, including recent participation history, date of entry, and engagement metrics within our proprietary apps.

However, the availability of this data to clients depends on the specific project and data privacy regulations. While we can provide aggregated insights and participation trends, we do not share personally identifiable respondent-level data to maintain compliance with GDPR and CCPA.

  1. Do you have a confirmation of respondent identity procedure? Do you have procedures to detect fraudulent respondents? Please describe these procedures as they are implemented at sample source registration and/or at the point of entry to a survey or router. If you offer B2B samples what are the procedures there, if any?

Yes, we have procedures in place to confirm respondent identity and detect fraudulent respondents using algorithmic fraud detection and behavioral tracking.

At sample source registration, we implement various fraud prevention measures, including device fingerprinting, duplicate account detection, and anomaly detection to identify suspicious sign-ups. Respondents exhibiting irregular patterns—such as multiple registrations from the same device or IP address—are flagged for review or removal.

At the point of entry to a survey, we continuously monitor behavioral signals such as response consistency, time spent on questions, and engagement patterns. Our system detects speeding, random responding, and illogical answers, helping to filter out low-quality respondents before they impact data integrity.

Currently, we do not conduct in-depth B2B sampling, but we plan to expand into this area in the near future. When we do, we will implement additional verification layers, such as cross-referencing work-related information, validating business emails, and identifying inconsistencies in employment-related responses to confirm that respondents belong to the targeted business segment.

For now, our fraud prevention measures focus solely on consumer respondents within our proprietary apps, ensuring that only genuine and engaged participants take part in our surveys.

  1. If you use a router: Who in your company sets the parameters of the router? Is it a dedicated team or individual project managers?

All of our users explicitly opt in for market research, as we clearly communicate the purpose of our platform throughout the entire acquisition flow. From the initial sign-up to onboarding, users are made fully aware that our apps are designed for survey participation and research purposes.

Before accessing surveys, respondents must agree to our Terms & Conditions and Privacy Policy, ensuring informed consent and confirming their willingness to participate in market research. This process guarantees that all respondents understand the nature of their participation, reinforcing compliance with privacy regulations and ethical research practices.

  1. Please provide a link to your Privacy Policy. How is your Privacy Policy provided to your respondents?

Our Privacy Policy is made easily accessible to respondents at multiple touchpoints. The policy and terms links are provided at sign-up, within the settings section of the app, and on our app websites. This ensures that users can review our privacy practices at any time, reinforcing transparency and compliance with data protection regulations.

Privacy Policy

  1. Please describe the measures you take to ensure data protection and data security.

We implement strict data protection and security measures to safeguard respondent information. Our approach includes:

  • Data Encryption: All stored and transmitted data is encrypted to prevent unauthorized access.

  • Anonymization: Personally identifiable information (PII) is either removed or anonymized where possible to protect respondent privacy.

  • Compliance Standards: We adhere to GDPR and CCPA regulations, ensuring data is handled in accordance with industry best practices.

Additionally, access to respondent data is restricted to authorized personnel only, and our systems are regularly monitored to detect and prevent security threats. These measures ensure that data remains secure, confidential, and compliant with global privacy standards.

  1. What practices do you follow to decide whether online research should be used to present commercially sensitive client data or materials to survey respondents?

We have not conducted studies involving commercially sensitive client data or materials in the past, so we do not currently have a dedicated mechanism in place for handling such cases. However, if we were to conduct such research in the future, we would establish strict security and confidentiality measures to protect client information.

  1. Are you certified to any specific quality system? If so, which one(s)?

We are not currently certified to any specific quality system. However, we follow industry best practices and adhere to GDPR, CCPA, and ESOMAR guidelines to ensure high-quality data collection, respondent privacy, and compliance with ethical research standards.

While we do not hold formal certifications at this time, we continuously evaluate our processes and may pursue relevant certifications in the future as our business evolves.

  1. Do you conduct online surveys with children and young people? If so, do you adhere to the standards that ESOMAR provides? What other rules or standards, for example COPPA in the United States, do you comply with?

We do not currently conduct online surveys with children. Our platform is designed for adult respondents, and we do not actively recruit minors for research studies.