MEET FINGERLYA clearer picture of every session.Explore the signals
iGaming, casinos and sportsbooks

Bonuses for players. Not for the same device.

Multi-accounting, bonus hunting and ban evasion all depend on looking like a new customer. Fingerly gives each player a visitor ID that survives cleared cookies and private windows, so repeat sign-ups are visible before the welcome bonus is paid.

  • A visitor IDSurvives cleared cookies.
  • Bonus abuseRepeat claims per device.
  • Ban evasionSpot a returning device.
  • Fair by designShared devices are normal.

How abuse reaches online casinos and sportsbooks.

A regulated or licensed operator carries these risks on every product line. They share a root: the same person trying to appear as several.

Welcome bonus abuse

Sportsbook bonus abuse and casino bonus hunting repeat a sign-up offer under new emails. The device behind the accounts is what stays the same.

Multi-accounting

One person holding several accounts to claim promotions or to work around limits. A visitor ID stored with each account makes the connection visible.

Ban evasion

Excluded or banned players return under a new name. A returning device is recognised even when the cookies, the email and the payment details have changed.

Account takeover on stored balances

Accounts with funds and saved payment methods are valuable. Credential stuffing and logins from unfamiliar devices are reported at login, before a withdrawal.

Bots and scrapers

Scripts that register in bulk, farm bonuses or scrape odds and lobbies. Driven browsers, declared scrapers and unusually busy devices are reported without a captcha.

Emulators and cloned apps

Emulated or cloned mobile apps running many accounts side by side. The native SDKs report emulators, simulators and cloned apps.

From pattern to decision.

Fingerly does not see gameplay, verify age or identity, or replace responsible gambling and licensing checks. It adds device and network evidence next to them.

  1. 01Welcome bonus and promo abuse
  2. 02Ban and exclusion evasion
  3. 03Takeover of funded accounts
  4. 04Scripted sign-ups and scraping
01

Welcome bonus and promo abuse

One welcome offer per device.

Identify at registration and again at the bonus claim, and count claims per visitor ID. Review clusters that device farm and emulator signals point to. The usual first decision is to hold the bonus for review, not to close the account.

Check at
RegistrationBonus claimsFirst deposit
Reads
Visitor IDDevice farmAndroid emulator
Promotion abuse
02

Ban and exclusion evasion

The same device, a new name.

Keep the visitor ID of an excluded or banned account in your own records and check new registrations against it. A recognised device with a high confidence is a strong lead for your team. A shared device calls for review, not an automatic refusal.

Check at
RegistrationLogin
Reads
Visitor IDVisitor confidenceNew or returning
New account fraud
03

Takeover of funded accounts

Familiar devices pass, unfamiliar ones are asked.

Recognise the devices a player normally uses and add a second factor when a login comes from a new device that also carries automation or an anonymised network. Check again before a withdrawal.

Check at
LoginWithdrawalChanging payment details
Reads
Visitor IDAutomationTor exit node
Account takeover
04

Scripted sign-ups and scraping

Spot the script, welcome the player.

Bulk registration and odds scraping run on driven browsers and hosting networks. Read automation, declared scraper and hosting network signals together and slow or refuse the session before the bonus is paid.

Check at
RegistrationLobby and odds pages
Reads
AutomationDeclared bot or scraperHosting network
Bot attacks

Integrate at the right moments.

Four habits keep a policy for online casinos and sportsbooks effective without turning it against genuine customers. A production identification is billed per request, from $0.0025, so it is worth placing where it earns its cost.

  1. 01 Identify at the moment

    Call identify at registration, at a bonus claim, at login and before a withdrawal, not on every lobby view. Pass your own player reference as the tag so the result comes back with the account it describes.

    await fingerly.identify({ tag: "bonus-claim" })
  2. 02 Verify on your server

    Send only the request ID to your backend, read the stored result with a secret key, and check that the tag matches the action. A client can be modified, so the decision is made on the server.

  3. 03 Observe before you enforce

    Run in monitoring mode first. Households, shared devices and public networks are ordinary among players, so measure who a rule would affect before enforcing it.

  4. 04 Act in proportion

    Hold a bonus or a withdrawal for review rather than closing an account on one signal, document the signals behind the action, and give a genuine player a way to be cleared.

Where to check, what to do.

Where an operator usually places the check and what it reads there.

MomentIdentify whenReadUsual first decision
RegistrationThe account is createdVisitor ID, new or returning, device farmHold the welcome bonus for clusters
Bonus claimBefore the bonus is creditedVisitor ID, high activity, emulatorReview repeat claimants
LoginCredentials are submittedVisitor ID, automation, network signalsStep up for new devices that carry other signals
WithdrawalBefore the payout is releasedSuspect score, visitor IDReview above your threshold
ReactivationA closed or excluded account is matchedVisitor ID, confidenceSend to your compliance team

Every decision is yours. Fingerly returns the visitor ID, the signals and the suspect score, and never blocks a request by itself.

Questions about online casinos and sportsbooks.

What Fingerly offers an online gaming operator, and what it leaves to your own controls.

Talk to the team
How do online casinos detect multi-accounting?

With Fingerly, an online casino stores the visitor ID beside every new account and counts accounts per device. One device behind several accounts becomes visible, even after cookies are cleared or a private window is used, and device farm and emulator signals make the cluster more telling.

Can device fingerprinting prevent sportsbook bonus abuse?

It makes it visible. Fingerly connects repeat registrations and claims to the device behind them, so a sportsbook can hold a bonus for review before it is paid. It does not replace your own bonus terms or your compliance checks.

Can Fingerly recognise a banned player who comes back?

Often, yes. A returning device is recognised even when the cookies, email and payment details have changed, and the response carries a confidence. Browsers that randomise what they report are recognised less often, so treat a match as a strong lead for review.

Does Fingerly check age, identity or location for licensing?

No. Fingerly does not verify age or identity and is not a geolocation service for licensing rules. It reports a location mismatch when the device and the network disagree, which is context for your own checks.

Will it flag players who share a device or a household?

Sharing is ordinary, and the signals are built so that it does not read as a farm. Treat a repeated visitor ID as a reason to review rather than to refuse, and let the size of the cluster and the other signals guide the action.

[ IDENTIFY ][ UNDERSTAND ][ DECIDE ][ FINGERLY ]
Less guessing. More knowing.

Make the next connection a trusted one.

Start with the signals, keep your own decisions, and pay as you go, only for what you identify. No credit card needed.