Pricing that scales with your signup volume

A flat platform fee makes sense for tools where cost tracks headcount or seats. It makes less sense for a fraud detection layer, where the actual cost driver is event volume — how many signups and claims are actually being scored — and that volume doesn't move in a straight line with company size. A seasonal platform might see traffic spike five times over during a major sports season or holiday promotion, and a flat-fee model would either overcharge in the quiet months or leave you exposed right when abuse attempts typically spike alongside genuine traffic. Usage-based pricing tracks the actual risk surface instead of a proxy for it.

Most platforms that come to us already have a rough sense of their scale, but a few patterns are common. A newer sweepstakes or skill-gaming app under 10,000 monthly active users typically starts on Starter, mainly to get visibility into whether abuse is happening at all before deciding how much tooling to invest in. A platform that's already noticed a promo-budget problem — usually because finance flagged it — tends to go straight to Growth, since the account graph and review queue are what actually let a fraud team act on what Kixo9 finds rather than just watching a number. Enterprise is less about size on its own and more about structure: multiple brands or skins sharing (or specifically not sharing) fraud signals, needing model tuning specific to each one, or requiring a named point of contact rather than standard support.