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Home / Knowledge hub / Trial abuse

Knowledge hub

Trial abuse

Signing up again and again to keep free access without ever paying.

Illustration explaining Trial abuse

What it means

Trial abuse is when one person or script keeps creating fresh accounts to claim a free trial again and again, never becoming a paying customer. The trial was meant as a short introduction. The abuser turns it into permanent free use.

It works because the thing that limits a trial is usually weak: an email address, which costs nothing to make. Throwaway inboxes, plus-addressing, and automated sign-up scripts let one person look like hundreds. The pattern is a kind of fake account creation aimed at your pricing.

Why it matters

Every trial costs something real: compute, storage, support time, and any paid third-party service your product calls, such as messaging or AI usage. If one party consumes those costs repeatedly and never pays, your margin pays for it. Trial numbers also become misleading, so conversion rates look worse than they are.

There is a second cost. Abusive sign-ups pollute the data your team uses to plan, and they can be a front for bot traffic probing your product. Fixing it late means rewriting how accounts are identified, which is harder than choosing the signals at the start.

How it shows up

You meet it at sign-up and at the start of every trial. The usual weak points are an email-only check, a trial period tied to the account instead of the company or payment method, no limit on sign-ups from one device or network, and a free tier with no usage ceiling. A fresh account then restarts everything.

Controls are layered, none perfect. Verify a phone number or payment card, flag disposable email domains, limit sign-ups per device and network, and tie the trial to a workspace or domain. Cap what a trial can consume. Test it as an outsider would: create several accounts and see whether the second trial starts.

Questions people ask

Trial abuse, answered

Is trial abuse a security vulnerability?

It is a flaw in how your business logic identifies a customer, so yes in the sense that it can be tested and fixed. It is closer to fraud than to a break-in. Nothing is bypassed technically. The sign-up flow simply does what it was built to do, too many times.

Does asking for a credit card stop it?

It slows it down a lot, because each trial then needs a card, and conversion usually drops too. It does not stop it entirely, since virtual and prepaid cards exist. Many teams combine a card with limits on what the trial can consume.

Should we block disposable email addresses?

It helps against the laziest abuse and costs little, but lists go stale and determined users move to other addresses. Treat it as one signal among several. Blocking real users by mistake is also a cost, so review how often it fires.

How do we measure trial abuse?

Look for many accounts sharing a device, network, payment fingerprint or email pattern, and for trials with heavy usage and no sign of real evaluation. Compare the share of trials that ever convert, by source. A cluster that never converts is the thing to examine.

Can we test for it before launch?

Yes. Walk the sign-up flow as an outsider, create several accounts from one machine, and see which limits trigger. Check whether the trial attaches to the email, the workspace or the payment method, and what the free tier lets a new account consume.

Cyberlop mark

Does your second trial start?

Sign-up and trial rules are business logic, and they are tested by using them the way an abuser would. We check whether limits hold and report what we actually got past. Ask us to run it on one of your applications.

Or start with a $199 pilot on one application: thirty days, success criteria agreed before day one, credited against the annual if you convert.