Bot Detection Ranking
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A digital identity platform that helps brands detect bots, duplicate accounts, and verify authentic customers in real-time. The system ranks every order between 0-100 to identify patterns of authenticity and associations between individuals.
Key Points:
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Core Problem Solved:
- Brands can't interact effectively with customers digitally
- Multiple personas/identities skew customer data
- Bots and duplicate accounts affect inventory forecasting
- Unauthorized resellers cost brands millions in revenue
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Technology:
- Real-time graph networking clustering to find patterns
- Creates visual graphs showing bots, bad actors, and duplicate accounts
- 160 features analyzing patterns of randomness and similarities
- No direct user interaction required
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Current Traction:
- 25 customers using the platform
- Working with local sneaker stores
- Will convert to ~$15k MRR
- Providing $10k in new revenue per store per month
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Use Cases:
- Sneaker stores managing raffle entries
- Prioritizing authentic customers for limited releases
- Cleaning bloated CRM systems
- Identifying most influential customers
- Removing duplicate/bot accounts
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Value Proposition:
- Helps brands understand true customer base
- Reduces CRM costs by removing fake accounts
- Improves inventory forecasting accuracy
- Better targeting of authentic customers
- Protection against bots and resellers
42:29 - 44:15
Full video: 01:13:34JS
Jordan Shamir
With over 4 years of experience in product management, He is a co-founder of Yofi, a start-up that helps brands prioritize their consumers to increase lifetime value, brand affinity, and data fidelity. He is also pursuing my MBA at the University of Michigan - Ross School of Business.