Conversion & UX
Conversion Optimisation Program
An ongoing CRO program with a dedicated team running tests across your site, funnel and app every month
Conversion & UX · Experimentation Programmes
Server-Side &Feature Flag Testing
Backend experiments through feature flag platforms, for tests a browser script cannot handle, such as cashier logic and odds display
Some of the most valuable tests, such as payment method ordering, registration step logic or odds format defaults, cannot be run with a client-side script. We help your developers set up feature flag platforms such as LaunchDarkly, GrowthBook or Statsig, define assignment and exposure logging, and connect results to your data warehouse. Tests run without flicker and behave identically across web and app.
What you get
- ◆Feature flag platform setup
- ◆Assignment and exposure logging
- ◆Data warehouse result pipelines
- ◆Cross-platform experiment guidelines
- ◆First server-side tests
How it works
- 01
Add it to your offer
Combine it with any other services, markets and a budget if you have one in mind.
- 02
Get a custom quote
We reply with scope, timeline and price for your brand, usually within one business day.
- 03
Accept and kick off
Accept with one click, get your invoice and meet the team that runs it.
More in Experimentation Programmes
See allConversion & UX
Experimentation Programme Launch
A structured start to A/B testing: tool selection, tracking, a prioritised backlog and your first tests live within one quarter
Conversion & UX
VWO Implementation & Test Builds
VWO set up for iGaming sites and apps, with flicker-free tests, GA4 integration and experiments built by our developers
Conversion & UX
Optimizely Web & Feature Experimentation
Optimizely Web for front-end tests and Feature Experimentation for server-side tests in cashier, betslip and registration
Conversion & UX
AB Tasty Test Implementation
AB Tasty configured for your brands, with reusable widgets, personalisation campaigns and tests built and checked by our team
Conversion & UX
Test Statistics & Result Audits
An independent review of past and running experiments for peeking, sample ratio mismatch, underpowered tests and misread results