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Case Studies

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Real businesses.
Real results

Bots stopped, revenue protected, and support tickets that never had to happen — see what changed for companies running ADPAL

. Key results

The numbers customers come back to

-92%

Automated cart holds, illustrative example

3.1×

Fewer fake signups, illustrative example

14 hrs

Typical time to full protection

0

False-positive complaints in illustrative example

Outdoor & Retail eCommerce

Germany · EU

How Nordlyft Outdoor stopped bots from holding limited-drop inventory hostage

Automated carts were reserving scarce stock during product drops, locking real customers out of checkout. ADPAL filtered the automated holds at the edge without adding friction for genuine shoppers.

-87%

Automated cart sessions

+24%

Checkout conversion

4 hrs

Time to deploy

Read case

. Customer stories

Different businesses, same relief.

Six patterns cover most of what hits an SMB site

.Results by challenge

Find the problem that sounds like yours

Three ways in — pick the one that matches how your site already runs

. Methodology & trust

How we measure results — and what we don’t claim.

Every figure above compares protected traffic against a documented baseline from the same site, over the same type of period — never a generic industry average dressed up as a customer result. Results vary by traffic profile, industry and existing defences, so we publish ranges and context, not a single number that fits every business.

Customer names, logos and quotes are only published with explicit written permission, reviewed before every use.

. Deployment

Getting here doesn’t take a project plan

Three ways in — pick the one that matches how your site already runs

01

Point your DNS at the managed reverse proxy.

02

Go live in hours — your stack doesn’t change.

03

Monitor real traffic briefly before enforcing.

04

Enforce policy with evidence, not guesswork.

See what changes on your own site

Every story here started with a scan or a short call. Yours can too.