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Kameleoon setup, experiments and audits.

We set up and audit Kameleoon for web and feature experimentation, with clean data flowing to your stack.

✦ Ready for the AI era. Test AI-driven personalisation with rigour. We set up Kameleoon experiments that prove what works.

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trusted by data teams at

NextEra Energy Invesco Adorama Adlibris StubHub Educative camino/financial

✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.

what we do

Kameleoon, from first test to advanced program

setup

Setup from scratch

  • Kameleoon setup and SDK implementation
  • Goals, audiences and integrations
  • Privacy and consent configuration
  • Your first trustworthy experiments
advanced

Advanced experiments & feature flags

  • Hybrid web and feature experimentation
  • Server-side tests and rollouts
  • Advanced targeting and AI-based personalisation
  • Complex experiment designs
audit

Audits of existing setups

  • Performance and flicker review
  • Goal and audience hygiene
  • Statistics and decision rules
  • Process and governance
integration

Data infrastructure integration

  • Analytics and CDP integration
  • Warehouse exports
  • BI alignment
  • Results in your stack
rd audit — kameleoon
rd audit --kameleoon

✔ sdk integrated
✔ consent configured
! flicker on 1 page
! audiences overlapping
✗ events differ from analytics

1 critical · 2 warnings · 2 passed

// illustrative

in practice

What working with Kameleoon looks like

how-it-works

How it works

  • It covers web and feature experimentation in one platform, with AI-assisted personalisation
  • Its European roots and privacy features suit teams with strict consent requirements
  • Hybrid setups combine client-side and server-side tests
  • Data export and integrations connect results to analytics and warehouses
problems-we-fix

Problems we fix most often

  • Hybrid implementations without a clear split of responsibilities
  • Consent settings that bias which users are tested
  • Results tied to a single tool and not to business metrics
  • Slow decision cycles

where it fits / Kameleoon is a fit for enterprise teams that want both marketing and product testing under one roof. We handle implementation and governance.

faq

Frequently asked questions

Do you work with both web and feature experimentation in Kameleoon?

Yes. We set up hybrid web and feature experimentation in Kameleoon and connect it to your data stack.

Can you help with Kameleoon personalisation?

Yes. We help design and validate personalisation and make sure it is tested rigorously.

Can you set up Kameleoon from scratch?

Yes. We handle setup, SDK integration, metrics and your first trustworthy experiments: kameleoon setup and SDK implementation, goals, audiences and integrations, privacy and consent configuration.

Can you audit our existing Kameleoon program?

Yes. An audit covers: performance and flicker review, goal and audience hygiene, statistics and decision rules, process and governance. You get prioritised recommendations.

Do you run advanced experiments and feature flags in Kameleoon?

Yes: hybrid web and feature experimentation, server-side tests and rollouts, advanced targeting and AI-based personalisation, complex experiment designs.

Can you connect Kameleoon to our warehouse and analytics?

Yes. We integrate Kameleoon with your data stack: analytics and CDP integration, warehouse exports, BI alignment, results in your stack.

Is Kameleoon the right tool for us?

We are vendor-neutral and work with almost every experimentation tool, including GrowthBook, Statsig, Eppo, Optimizely, VWO, Convert, AB Tasty, Kameleoon and Amplitude Experiment. We recommend what fits your team, scale and budget.

Can you help us migrate from Kameleoon to another tool?

Yes. We plan the migration, move experiments and metrics, and run both tools in parallel until you trust the results.

How much does it cost?

Pricing is tailored to your scope. Get a quote or schedule a consultation and we will give you a clear estimate.

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amplitude-experiment

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← all a/b testing & experimentation services   all services →

how we work

From first call to running system

step-01

01 /

Discover

We learn your goals, stack and constraints.

step-02

02 /

Plan

Audit findings and a clear, prioritised plan.

step-03

03 /

Build

Implementation by engineers, reviewed with your team.

step-04

04 /

Run

Hand over, or keep us on to support it.

get-started.sh

Tell us what you need. We'll scope it.

Pricing is tailored to your sources, volume and the parts of the platform you use. Request a demo or book a call with the team.

request-demo schedule-consultation