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How Suzy Catches 102% More Fraud and Fake Accounts Pre-Survey With Verisoul

Suzy combines its proprietary Biotic response validation with Verisoul's real-time fraud detection to enhance data quality for enterprises like Google, L'Oreal, and Pepsi

Industry
Geography
Use Cases
Fake Accounts
Bots
Geo-blocking
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Background

Background on Suzy

Suzy is an end-to-end market research platform that helps the largest global enterprises - like Google, L’Oreal, and Pepsi - better understand the preferences. Suzy integrates qualitative, quantitative, and conversational research and audiences into a connected research platform.

Core to its model is delivering insights from real people within the right geographic and demographic segments to its customers.

The Challenge

Over the last few years, survey fraud has become harder for sophisticated research teams to detect. Tactics that used to work - like response quality checks and screeners - can be gamed with generative AI, which can generate responses that are indistinguishable from those of real users.

Fraudsters have also gotten more sophisticated; they’re now using advanced tools like:

  • Aged Gmail accounts that appear legitimate
  • Real Mobile Phones from SMS farms
  • Anti-detect browsers that can create new “devices” on the fly
  • Clean mobile and residential proxies not found on proxy lists
  • Bots that mimic human behavior, speeds, and typing patterns

Fraud tactics have gotten more sophisticated

Before Verisoul, Suzy used a combination of in-house team and 3rd party solutions that were “industry standard”

Before Verisoul, Suzy used a combination of tools that, at the time, were considered best-in-class within the market research industry:

  • Telesign for Phone Verification
  • IPQS, Maxmind for IP data
  • Research defender for survey fraud
  • Suzy’s proprietary BIOTIC AI-powered bot detection

As the fraud landscape evolved, Suzy recognized the need to enhance their technology suite with additional layers of protection to catch more fraud at sign-up, sign-in, and before surveys that the current tooling was missing.

Pain Points

  1. Fraud getting through existing vendors → Suzy knew that its providers were missing clear fraudsters and had to manually filter them with time consuming data reviews
  2. False Positives → Legacy IP intelligence and survey fraud providers often flag real users as fraud, significantly hampering growth
  3. Vendor & Signal Sprawl → Managing 4+ vendors and in-house processes is no small feat for a lean team that cares deeply about quality
  4. Time Consuming Manual Reviews → Suzy often had to catch fraud downstream that was missed by their upstream vendors

“I spend multiple hours every day reviewing user responses to make sure everything looks good. And before Verisoul, I used to see weird patterns  that weren’t flagged by any vendors.”

Juan Guzman, Data Quality @ Suzy

Solution

How Suzy Pairs Verisoul’s Real-Time Fraud with its BIOTIC AI Bot Detection 

To keep up with advancing fraud, Suzy looked to external solutions that could pair with its existing vendors and proprietary BIOTIC bot detection platform to catch more fraud pre-survey - at sign-up, sign-in, and before responding. Suzy’s main focuses were

  1. Catching more fraud pre-survey
  2. Reducing false positives
  3. Finding an independent provider

And after surveying the market, Suzy partnered with Verisoul’s real-time fraud detection platform, which is built by a team that has built banking fraud stacks at companies like TransUnion, CapitalOne, and Facebook. 

Suzy combines Verisoul and BIOTIC

Suzy uses Verisoul's fraud detection with its proprietary BIOTIC AI system to protect its customers from fraudulent responses. 

  • Layer 1: Verisoul Checks Users and Behavior
    • Verisoul works in the background on Suzy's platforms without slowing down the user experience
    • When someone signs up, logs in, or takes a survey, Verisoul invisibly monitors their devices, networks, and behaviors with AI
  • Layer 2: Suzy's BIOTIC AI Checks Survey Behavior & Responses
    • Survey Behavior: AI checks for patterns, straightlining, automation
    • Answer Quality: BIOTIC AI checks if responses make sense and sound like they came from real people
    • Consistency: The system spots contradictions across different questions
    • Unusual Patterns: BIOTIC flags when multiple participants give suspiciously similar answers

How Verisoul invisiby detects fraud signals

“Suzy is an example of a company that truly cares about data quality in the Market Research Industry. It had the strength to face fraud head on and come out the other side on top.”

Henry LeGard, CEO Verisoul

Verisoul works invisibly on Suzy’s web and mobile apps. Every time users sign-up, log-in, or start a session to complete a survey, Verisoul runs in the background without impacting the user experience. Suzy then calls Verisoul’s API when it needs data, scores, and decisions about whether users are real or fake. Verisoul tells Suzy whether every new account and survey taker is:

  • Real: Verisoul validates that users are humans with behavioral biometrics & device data
  • Unique: Verisoul can detect whether users have multiple accounts → with techniques that go beyond standard device fingerprinting and IP matching
  • Trusted: Verisoul performs invisible device & network forensics in real-time to ensure that:
    • Devices are real hardware and aren’t running automation, anti-detect, or tampering technology
    • Network connections are not traveling through proxies & VPNs
    • Location of the user is where they claim to be
    • User History indicates a real person

Suzy incorporates Verisoul’s fraud data into real-time workflows and can also investigate users, export data, and create lists in a visual dashboard.

“The word that describes Verisoul is confidence - confidence about what we are doing. Before Verisoul, we would spot potential fraud but wouldn’t be sure. Now, we have real certainty. It’s very reliable."

Juan Guzman, Data Quality @ Suzy

Verisoul follows the traditional pattern that Suzy was used to with other fraud & intelligence providers, which made integration and launch easy. Suzy also shares a real-time Slack channel with Verisoul so they can stay on top of any emerging fraud threats or patterns.

“Support has been great. Every time we need something, Verisoul is there right away. It’s really helpful to have a direct line and always get quick thoughts and updates.”

Brit Hudgins, VP of Customer Support @ Suzy

Results

  1. Suzy now catches 102% more fraud pre-survey
  2. Suzy saves $18K monthly on payouts to fraudsters
  3. Suzy reduced false positive rates by 28% in just 10 weeks
  4. The Suzy team saves 2 hours in manual survey moderation every day 

Within just the first 10 weeks, Suzy had made dramatic improvements in data quality that is benefitting its clients. Most importantly, Suzy has doubled its ability to catch fraud automatically with Verisoul.

Suzy is now catching 102% more fraud pre-survey with Veriosul installed than it was before, which means even better insights for its customers. Moreover, with more fraudsters caught pre-survey, Suzy saves money on payouts; Suzy is able to save $18K monthly on payouts to fraudulent users and divert that to growth in real users.

"We’ve seen a direct correlation on savings since we integrated Verisoul. If you look at the graph, the payouts to fake users has dropped entirely. It’s been really impactful for quality and our bottom line.”

Brit Hudgins, VP of Customer Support @ Suzy

Often, higher fraud catch rates go with more false positives. However, Verisoul has actually helped reduce Suzy’s false positive rates by 28%, leading to more growth and lower user acquisition costs.

These improvements have translated to huge operational benefits for Suzy’s teams and better data quality for its clients. Because Verisoul is catching 2x more fraud automatically before surveys, Suzy’s team saves 2 hours every day on response checks. Moreover, Suzy has been able to better communicate their data quality efforts with their global enterprise customers:

“Verisoul gives us the confidence to tell clients why users are good or bad for certain reasons - it really reassures them to know we have such X-ray vision into our users and quality.

Juan Guzman, Data Quality @ Suzy

Suzy has proven that investing in advanced fraud prevention pays off. As fraud tactics continue to evolve, this layered approach ensures Suzy stays ahead of threats while delivering the high-quality insights their enterprise clients depend on. For market research companies facing similar challenges, Suzy's success demonstrates that the right combination of tools and proprietary tech can make a significant difference in both data quality and operational efficiency.

28%
Reduction in False Positive Rate
X%
Reduction in Payouts to Fraudsters
40
Hours of Moderation Saved Monthly

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