Experimentation and A/B-testing

Optimize your website with data, not guesswork

We design, run, and analyze experiments so you know exactly what works, before you commit to costly changes.

What we deliver

A/B test development
We manage the entire A/B‑testing lifecycle – from concept to launch.
- Rapid client‑ or server‑side implementation (JS, CSS, HTML)
- Accelerate experimentation and remove technical bottlenecks

Implementation support
- Setup and integration of A/B‑testing tools
- Technical guidance on hybrid or custom solutions
- Troubleshooting and performance optimization

A/B‑Testing tool assessment
- Needs analysis and requirement mapping
- Recommendations of the best tools and test types for your setup

Experimentation process setup
- Establishing structure, routines, and workflow
- Building an experimentation culture that supports data‑driven decisions

Our process

A structured, proven approach that ensures measurable results:

1. Find target area
Identify potential areas to test through data analysis, technical evaluation, traffic/risk assessment and prioritization.

Create hypotheses & design test
Collaborative “HEAT meets” (hypothesis workshops) to develop strong, data‑driven hypotheses; followed by experiment design, visual mockups, audience definition, and power analysis.
Experiment & Learn
Development, monitoring, analysis, and insight reporting, followed by implementation of validated winners.

Our competences

Experimentation Lead / Conversion Manager

Drives the overall experimentation strategy and program, ensuring tests create business value and learning across teams.

Example deliverables:

Program structure and governance
Performance insights
Team coaching to build an experimentation mindset

Experimentation / Conversion Specialist

Executes and optimizes day‑to‑day testing work, turning data and insights into structured experiments and actionable improvements.

Example deliverables