SocialScore's Customer Intelligence Layer helps gaming and iGaming companies lower CAC per paying user, protect whale and VIP revenue before it churns, and catch bonus abuse and multi-accounting before a payout clears. Built for F2P mobile and PC game studios as well as regulated online casino and sportsbook operators. It flags fake and farmed installs, predicts player value before UA spend commits, personalizes win-back offers by real player persona, and detects multi-accounting through digital footprint and local-presence signals alongside existing KYC/AML checks. Pricing starts at about €1 per verified profile, with volume pricing above 10,000 checks a month. A free demo and 500 free identity checks are available from SocialScore (DSNTech LTD, Sofia, Bulgaria).
Your UA budget finds installs.
It doesn't find players worth keeping.
The Customer Intelligence Layer that lowers CAC and lifts ROAS, protects whale LTV before it churns, and catches bonus abuse before the payout clears — for F2P studios and gambling operators alike.
Every metric that runs your business
is downstream of one you can't see: who's actually there
Global gaming CPI is up 30% year over year. Most apps lose 70–80% of installs within 30 days. The top 2–5% of players generate up to 80% of revenue. None of that is visible until the money has already moved.
Post-ATT, CPI is climbing and targeting precision is falling — you're paying more for installs that convert to paying users less often.
Median D30 retention sits around 3% — and the whale about to churn looks identical to everyone else, right up until they leave and take their LTV with them.
A generic offer to your whole player base either underprices your best spenders or overprices everyone you're about to lose — ROAS suffers either way.
Operators lose an estimated 10–20% of marketing turnover to bonus abuse and multi-accounting — quietly, one welcome offer at a time.
Everyone optimizes CPI, retention curves, and payout tables.
Only we optimize knowing who the player actually is.
Every UA platform, every analytics suite, every fraud tool sells you a sharper number. None of them tell you, before the spend clears, whether this install is a future whale, a churn risk, or the same person registering their fourth account.
The numbers get optimized
CPI, ROAS, retention curves, wagering requirements. Every vendor sells you this. It's necessary. It's not the gap.
The player is the gap
Without knowing who's real, who's valuable, and who's about to leave, every one of those numbers is a lagging indicator.
The player is what we add
300+ real signals — verified, matched to your best spenders, flagged if it's not even a real person — before the money moves.
Your attribution stack tells you what happened.
We tell you who's actually behind it.
SocialScore enriches an email, phone, or player ID into 300+ external signals — the layer that sits underneath your UA, LiveOps, and fraud stack, filling in what ATT and platform data can no longer see.
Data & Signals Engine
Email + phone + country → 300+ signals, under 5 seconds. Your own player and spend data can feed it too — not just email and phone.
Software & Capabilities
Works on our signals — or entirely on your own data: spend history, session data, your own VIP tiers. Use us purely as software, if that's all you need.
Your UA platforms, LiveOps tools, and KYC/payments stack stay exactly where they are. SocialScore feeds them the context ATT and platform data can no longer supply.
From an email or player ID to
a spend-worthy prediction
Define the group
New installs, VIP players, at-risk whales — any cohort you choose.
Enrich & verify
300+ signals per identity, under 5 seconds. Batch mode for full player lists.
Segment & predict
Behavioral segments matched automatically from external signals.
Act in real time
Every new install matched against your best-spending segment before UA spend commits further.
No devs required —
this is the actual product
Everything below is live in the SocialScore dashboard — no integration needed to see it working.
One call returns
six different kinds of answers
Verification & Health Signals
Data: deliverable/disposable/breach-exposed email, valid/reachable phone, plus Social/Email/Phone/Fraud/Buyer Power signals.
Value: at least 20% of a typical player database is invalid or fake — that tanks email deliverability and burns UA/CRM spend reaching contacts that don't exist. This catches it before a campaign send or a bonus commits (see Case 1 ahead).
Interests
Data: 15 categories, benchmarked vs. country average, not a global one.
Value: powers the actual LiveOps offer and creative direction, not a guess at what to push next.
Digital Footprint
Data: where they actually live online, how active, how established.
Value — post-ATT-ready: built on real digital-footprint signals, not degraded pixel data. Works exactly the same after ATT and IDFA loss, because it never depended on them (see Case 1 ahead).
AI Customer Persona & Human-or-Bot
Data: a ready-made persona plus confirmation of active human, farming bot, or automated bonus-claim script.
Value — the pre-emptive value-tier promise: know if this install is a likely whale before you've spent a cent on retention, and push that lookalike segment straight into Meta/TikTok/Google — no IT ticket, live the same day. That's the Holy Grail in UA.
Lifecycle Stage
Data: new install, dormant, at-risk whale, or repeat spender.
Value: know exactly where this player stands before you message them, not after you've already guessed wrong (see Case 2 ahead).
Local Market Presence
Data: 100+ local platforms per country, benchmarked against what people in that market actually use.
Value: one of the sharpest tells against multi-accounting and synthetic identity — catches the same person registering under a different name before a bonus payout clears (see Case 3 ahead).
Six answers.
Six signals, tied to real numbers.
Verification & Health Signals
You optimize: screen fake installs and invalid contacts before a campaign send or a bonus commits. Money: €1/check to screen 15,000 installs is €15,000 — a fraction of what bonus abuse or a spam-flagged campaign costs (see Case 1 & 2 ahead).
Content & Creative Direction
You optimize: ad creative and in-game offers by persona, not one campaign for everyone. Money: a message that fits converts higher than one that doesn't.
Precision UA Targeting — the CPI Lever
Post-ATT-ready: real digital-footprint signals build the lookalike seed, not degraded pixel data. You optimize: UA spend follows Predictive-Match lookalikes, not broad post-ATT targeting. Money: paying-conversion up, CAC per paying user down (see Case 1 ahead).
VIP & Whale Flow
Pre-emptive value tier: flag likely whales before they've spent a euro, and route bots away from the bonus queue. You optimize: fast-track onboarding for high-value installs. Money: worth tens of thousands per month at real volume (see Case 2 & 3 ahead).
Lifecycle & Retention
You optimize: early flag and personalized win-back before a whale actually churns, not after. Money: the same lever behind the €264K+ in Case 2 ahead.
Bonus Abuse Prevention
You optimize: catch multi-accounting before a bonus payout clears, alongside your existing KYC/AML checks. Money: the same signal behind Case 2's bonus-abuse drop ahead.
A context layer, not a decision-maker. We feed your fraud and LiveOps systems, we never replace them — signals, not verdicts. And we connect what UA and LiveOps chase at the front door with what fraud and risk expect in the back office, so the same signal drives both.
€55,000/month UA spend,
mid-core mobile RPG
Post-ATT, CPI keeps climbing while targeting precision keeps falling. A lookalike seed built on real signals — not degraded pixel data — puts spend against players who actually convert to paying.
Why, and where the data comes from: the lookalike seed is built from the studio's own paying-user cohort, enriched with real digital-footprint and interest signals instead of ATT-degraded pixel data alone — the exact Digital Footprint signal from the Signals slide, giving the ad platform's own targeting algorithm a sharper seed to match against. Cost basis: 15,000 seed records/month × €1. LTV used: €80 per paying user. Blended global gaming CPI up 30% YoY (Adjust, 2026); this case holds CPI flat and improves paying-conversion instead.
€200,000/month bonus & marketing spend,
regulated online casino & sportsbook
European operators lose an estimated 10–20% of marketing turnover to bonus abuse and multi-accounting — and 60% of iGaming fraud happens right at onboarding, before a single bet is placed.
Why, and where the data comes from: Digital Footprint and Local Market Presence from the Signals slide catch the same real person registering multiple accounts under different names — a pattern device- and IP-based rules increasingly miss against VPNs and residential proxies. Local Market Presence signal → catches multi-accounting before payout → the €24,000/mo above. This is a fraud indicator the operator's own risk team weighs, not an automated block, and sits alongside existing KYC/AML checks rather than replacing them. Cost basis: ~12,000 registrations screened/month × €1. Bonus-abuse benchmark: 10–20% of marketing turnover lost industry-wide, 60% of fraud occurring at onboarding (Sumsub, LexisNexis Risk Solutions — 2026); this case assumes a conservative −9pp improvement, not full elimination.
500 top-spend players,
generating €75,000/month — 15% of total revenue
The top 2–5% of players can generate up to 80% of F2P revenue. Losing even a handful of them without noticing costs more than any UA campaign recovers.
Why, and where the data comes from: at-risk high-value players are flagged by matching engagement drift against their real Interest and Digital Footprint signals from the Signals slide — separating the whales genuinely worth a personalized win-back from the ones unlikely to return regardless. The top 2–5% of F2P players are documented to generate up to 80% of total revenue (MWM, 2026), which is why even a small reduction in whale churn moves more revenue than a much larger UA campaign. Cost basis: 5,000 at-risk/high-value players checked per month × €1. Net figure reflects LTV protected, not new recurring monthly revenue.
Same 20,000 dormant players.
Same re-engagement budget. Very different revenue.
A worked example, from the studio's side — what changes when SocialScore sits between your dormant-player list and your next LiveOps push.
Why: the 310 vs. 670 reactivations are the same €25,000 LiveOps push budget — the only thing that changed is knowing who's actually worth reaching, from the €20,000 identification pass. Separately: bot and farmed accounts get flagged before your team wastes push notification credits or reward points chasing them — and every dormant cohort works the same way going forward.
Same install event. Same call.
Three completely different players.
This is what the signals actually look like on real players — and what each one means for the offer you show.
Every install looks the same in your dashboard until you know who's behind it — a future whale, a growing spender, or a farming bot. Knowing which is which, on the first call, is what turns the same install base into lower CAC, higher LTV, and less bonus abuse.
The Customer Intelligence Layer
vs. what you have today
| Comparison | SocialScore | MMP / Attribution Only | In-House Data Team | Device/IP Fraud Rules |
| Cost to start | €0 | Included, but attribution only | €300K+ & months | €50K+/yr |
| Predicts value before spend, not after | Yes | Reports after the fact | Depends on build | Not its job |
| Catches multi-accounting via VPN/proxy | Yes, digital-footprint based | Not its job | Rarely built for it | Increasingly bypassed |
| Time to first result | 1 day | Immediate, no player context | 6+ months | 2+ months |
What's actually broken about knowing your player today
Built to
improve what you run, not to replace it
SocialScore was designed as an enrichment layer from day one — your UA stack, LiveOps tools, and KYC/payments providers keep working exactly as they do today.
Your own Data Science team, on call
Every account includes access to our data science team — for signal interpretation and integration.
Customized to your exact stack
Proprietary LiveOps or wallet system? We build a custom module to your specification.
AI Tools
Support bots, offer engines, pricing logic — connected via MCP, so your AI gets real context too.
Any Platform, Any Webhook
Any platform with a webhook or an import can pull SocialScore signals through the API — no vendor lock-in.
Handling player and payment-adjacent data means
compliance isn't optional
We process signals on your instructions. We provide signals, never scores or verdicts — we don't decide what happens to the player.
You decide why the data is processed and what happens with the result. Every actual decision — ban, payout, retention — is yours.
The person the signals describe. Their GDPR rights — access, erasure, objection — route through you as controller.
What We Signal
What We Never Replace
SocialScore commits to signal transparency and strict compliance: we operate purely to help you with identification, fraud indicators, and personalization, reducing risk while cutting the bonus abuse and wasted spend that come from unverified accounts. We never output scores or verdicts, only signals for your own systems to weigh. Because the Controller — your studio or operator — makes every actual decision, SocialScore sits outside GDPR Art. 22's automated-decision rules and outside the EU AI Act's high-risk (Annex III) category — both apply to the system that decides, not the one that informs it. SocialScore sits alongside your existing KYC/AML and age-verification checks; it never replaces the licensed compliance stack a regulated operator is required to run.
GDPR — Standard Tier
Public digital-footprint data only — never Art. 9 special-category data.
ISO/IEC 27001:2022
Security practices aligned to the current information-security standard.
EU-Based Entity
DSNTech LTD, Sofia, Bulgaria — subject to EU law.
Never Resold
Your enriched data is yours, never sold on.
Get an expert read on your players,
not just another data feed — free.
Bring your own player or install list. Our team enriches it live, in front of you, walks through what it means for UA, retention, and bonus abuse, and shows you exactly who's a whale, who's at risk, and who isn't even real.
Already live with gaming & iGaming companies across Europe — F2P studios and regulated operators using SocialScore today to cut CAC, protect whale LTV, and reduce bonus abuse.
office@socialscore.io · dimitar@socialscore.io · DSNTech LTD, Mladost 2, Sofia, Bulgaria