Better Data Starts With Better Screening


Challenges
Fraudulent accounts waste time, money and mean that real qualified candidates are looked over.
📊 Online panels discard 38% of their data due to quality and panel fraud- Kantar 2025
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🤖Bot farms
Generative AI makes it easy to mass-produce convincing but fake survey completions. Bot farms exploit loopholes in online survey tools, mimicking human behavior with increasing sophistication.
Fraudulent respondents inflate panel numbers, skew results, and increase incentive costs.
🎯Data Collection
Respondent profiles are slow to build and answers can be easy to misinterpret. Manual entry also increases survey time and eventually increases drop off.
Importing data directly from a respondent’s online profile is faster, more accurate, and less prone to error than relying on manual entry.




📉Data quality
A few bad actors can distort results for entire segments. Misrepresentation of demographics, interests, or behavior undermines the accuracy of the entire project
Bad input leads to bad output. Time is lost cleaning datasets, re-fielding surveys, or explaining inconsistencies to clients.
Our Offerings
We provide low friction, fast, human-first verification and data enrichment tools.
Bot and identity validation
Our advanced bot-algorithms can detect bot-like behaviour in your respondent pool.
We also ensure the respondent's identity is consistent across their online record.
Profiling
Our data lets you instantly profile respondents by pre-filling key details directly from their real-world record.
Our data can profile based on a respondent's demographics, employment, education, travel habits, and media behaviour.
Overclaiming checks
SuperMarketer cross-checks survey responses against each respondent’s real-world data, ensuring answers align with their actual behaviour and identity.
Features
Verifiable
We collect user-authorised data directly from source platforms like Amazon or Google. Unlike self-reported data, these data sets are independently verifiable and much more resistant to fraud.
They include a full record of the respondent’s activity online - far beyond what a respondent could provide through a traditional survey.
Consistency
We analyze historical user activity, not clicks and in-survey behaviour.
This includes evaluating account age, interaction diversity, and content engagement patterns to identify if the behavior is organically human or recently fabricated.
Bias
All data collection has bias, we work with data sources that have as much representation as possible, like Google and Amazon.
These sources have actually have an anti-fraud bias, genuine respondents almost always hold one or more of these accounts, while bad actors rarely have profiles consistent with their fabricated identities.
Deterrent
Fraud schemes rely on scale and low effort.
Most humans will have a Google or Amazon account, almost all frauds will not have one consistent with their fake identity. To get past our filters, fraudsters will have to build and populate online accounts over years.
Most attackers abandon their attempts entirely.
Respondent profiles are often slow to build
The data we use to identify bots and confirm identity can also be used to enrich your own data collection.
Our data lets you shorten onboarding and improve accuracy by sourcing survey answers directly from our data sets.
This means you can ask fewer questions and start with cleaner data.
Profiling tags
Our data can profile your respondents faster. You'd be able to pre-fill information about a respondent's employment, educational background, travel profile, media habits to name a few.
Overclaiming
We validate respondent claims by cross-checking their answers against their data sets.
This ensures your information is consistent with their real-world record.
Fingerprinting
Our fingerprint technology prevents repeat signups, linking the same account to multiple identities, and re-purposing existing accounts for new identities.
Verification Without Friction
Unlike KYC, there’s no need to upload passports or selfies. We confirm real-world identity with public footprint analysis, keeping the user experience seamless and private — while offering deeper trust.

Built for AI-Era Threats
Legacy security tools are no match for modern AI-powered fraud. CAPTCHAs are cracked, Cloudflare only protects websites, and standard KYC tools were built for financial compliance, not respondent recruitment or research integrity.













