What changes when abuse gets caught at signup
Early results from platforms piloting Kixo9 against their existing bonus and onboarding flows.
Where we are on case studies right now
We'd rather be straightforward about this than dress up early results as more than they are.
Kixo9 is early. The pilots below are real, but they're anonymized and described in general terms rather than backed by named logos and audited numbers, because that's genuinely where things stand at this point — we'd rather show you what a pilot actually looks like than invent precision we don't have yet. If you want to know what Kixo9 would find in your own data specifically, the fastest way to find out isn't reading a case study; it's running a data review, which takes a single session and requires no integration.
Sweepstakes platform pilot
A mid-size sweepstakes operator ran a 30-day pilot comparing flagged signups against their existing manual review process. Kixo9 surfaced linked-account clusters the team's existing tools had missed, tightening their Sweeps Coin redemption review before full rollout.
Skill-gaming collusion review
A skill-gaming app used Kixo9's match-outcome analysis on three months of historical play data to identify account pairs with statistically unusual win/loss patterns, informing updates to their fair-play policy.
The sweepstakes pilot, in more detail
The operator's existing process relied on a fraud analyst manually reviewing accounts flagged by simple rules — repeat IP addresses, rapid signup bursts. That process caught the obvious cases but had no visibility into accounts that varied their signals even slightly. Running their onboarding data through Kixo9 during the pilot surfaced several clusters of accounts that had passed the existing rule set individually but shared device fingerprints and converging redemption destinations once compared against each other. The team's own words afterward were less about a specific dollar figure and more about the shift in what they could see: cases that used to only come to light after a redemption spike prompted someone to go looking were now visible before the redemption even happened.
The skill-gaming pilot, in more detail
This platform had received a handful of player complaints about "the same accounts always winning" in certain brackets but had no systematic way to investigate beyond looking at individual match logs by hand. Running three months of match history through Kixo9's outcome-pattern modeling surfaced a small number of account pairs with win/loss distributions well outside what normal variance would produce — evidence the team then used to update their fair-play policy and communicate more specifically with affected players about what had actually been found, rather than responding to complaints with a general statement about game integrity.
What most first-time reviews find
Patterns repeat across the platforms we've looked at, even though every business is different. Almost every review surfaces at least a few account clusters the operator didn't know about — usually smaller and less dramatic than the horror stories in the industry press, but real, and real enough to change how a team prioritizes its fraud budget. It's rare for a first review to come back completely clean; it's more common for it to confirm a suspicion someone already had but couldn't previously prove with evidence specific enough to act on.
Frequently asked
Why aren't these case studies named?
At this stage, most pilot customers prefer not to have their fraud exposure discussed publicly under their own name, which is a reasonable position — we anonymize by default unless a customer specifically asks to be named.
Can I talk to a reference customer directly?
In some cases, yes, with the customer's permission — ask during your first conversation with us and we'll see what's possible for your specific vertical.
Is my data used in any way for other customers' benefit?
No individual customer's raw data is shared with or used to build cases for another customer; any pattern learning that improves the models generally is done in aggregate and covered in your data processing agreement.
How long does a pilot usually run before we see a case study?
Most pilots run 30 to 90 days, long enough to see a full promo cycle or two, before there's enough to write up in any meaningful detail.
Want results like these on your own platform?
Start with a data review — no integration required to see what Kixo9 finds.