AUSTIN, Texas — Originally announced January 15, 2025: SEON’s social and digital footprint coverage has grown to more than 300 signals across email and phone, organized into 30 aggregated categories that give fraud teams sharper identity context without rewriting a single rule.
At the start of 2025, SEON’s digital footprint covered just over 100 social and digital checks. It now covers more than 300. The expansion was driven by two things: geographic gaps in existing coverage and category areas where fraud teams needed more signal depth. More sources across more verticals means a more complete picture of whether an identity is real and legitimate, without adding any additional steps to the assessment workflow.
What Changed
The expansion added new signals in three phases across 2025, doubling and then nearly tripling the original coverage. The additions weren’t random — they were driven by geographic gaps in existing coverage and by category areas where fraud teams signaled the most need.
The current 300+ social and digital signals are organized into 30 subcategories under two top-level groups for both Email and Phone APIs: Personal and Business.
Personal categories span Adult Sites, Betting & Gaming, Dating, Delivery, eCommerce, Email Service, Entertainment, Health & Fitness, Real Estate, Social Media, Technology and Travel.
Business categories cover Jobs & Employment, Money Transfer & Remittance, Science & Education and Technology.
New Categories Added
Three new category areas were introduced as part of the most recent expansion:
- Betting & Gaming: 16 email signals and 2 phone signals covering operators across Europe and LATAM, including Betfair, SkyBet, Tipico, Ladbrokes, Superbet, Betcris and Winpot. For operators, this category is directly useful for pre-KYC risk assessment. A player with verified presence on multiple regional platforms signals a legitimate recreational user. An account that registers with a clean email — no footprint on any gaming platform — warrants closer scrutiny.
- Dating: 6 email signals, including Match and Plenty of Fish for the US market, alongside international platforms. Relevant for any industry where fake or borrowed identities are common (fintech, social platforms, lending), dating app registration is a useful legitimacy signal because fraudsters constructing synthetic identities rarely populate them across lifestyle verticals.
- Real Estate: 5 email signals with EMEA coverage, including OnTheMarket and Rightmove. Particularly useful for UK and European lenders assessing applicants in markets where property search history correlates with life-stage legitimacy signals.
Other Notable Additions
Beyond the new categories, the expansion added meaningful signals in several existing areas:
- APAC money transfer and remittance: New signals from GCash, PhonePe and OFX, extending coverage into Southeast Asia and South Asia for both email and phone APIs.
- Retail: Fiverr and additional regional platforms added across multiple markets.
- Technology, productivity and media: Microsoft Teams, Picsart, Calendly, Expensify, Quillbot, The New York Times, Forbes, CNN, Business Insider and New York Post. These signals matter for identity confidence: an email address registered across multiple professional productivity tools has a very different risk profile than one with no digital history.
How Aggregated Categories Change the Operational Model
Individual signal coverage is only half the story. The other half is how teams use it.
SEON organizes digital footprint signals into aggregated categories, meaning the 16 email categories and 14 phone categories each produce a single category-level score. Fraud rules can reference “has a social media score above X” or “has no presence in the betting & gaming category” without tracking individual platforms.
When SEON adds a new signal, it’s immediately incorporated into category scoring. Teams that built rules around the category see the benefit without any maintenance work.
This is the key architectural difference from signal-by-signal enrichment. Coverage grows continuously while rules stay stable.
What This Means in Practice
A risk analyst assessing a new user at onboarding can see a comprehensive digital profile: which category buckets are populated, which are empty and how the combination maps to known fraud patterns in their platform.
A legitimate user in their 30s applying for a personal loan typically has verified presence across 6–12 categories, including social media, a streaming service, a delivery app, probably a professional network, maybe a travel booking platform. A synthetic identity — or a real identity used for fraud — tends to have a thinner footprint, concentrated in fewer categories and often skewed toward recently created accounts.
The 300+ signal count gives SEON the coverage to detect those patterns reliably across global user bases, not just English-language markets.For the full picture of SEON’s first-party signal coverage across email, phone, IP and device, read this news article.
