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GrowthBook setup, experiments and audits.

GrowthBook is our specialty. We set it up, connect it to your warehouse and run advanced experiments and feature flags on it.

✦ Ready for the AI era. Experiment on AI features like any other. We set up GrowthBook to test models, prompts and AI-powered experiences.

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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

GrowthBook, from first test to advanced program

setup

Setup from scratch

  • Cloud or self-hosted setup and SDK integration
  • Warehouse-native data source and metric definitions
  • Environments, teams and permissions
  • Your first trustworthy experiments
advanced

Advanced experiments & feature flags

  • Advanced experiment designs and targeting
  • Feature flags and gradual rollouts
  • Server-side and client-side tests
  • Custom statistics settings and guardrail metrics
audit

Audits of existing setups

  • Review of experiment hygiene and exposure logging
  • Sample ratio and metric-definition checks
  • Statistical settings and decision rules
  • Process and governance
integration

Data infrastructure integration

  • BigQuery, Snowflake and other warehouses
  • GA4 and product analytics alignment
  • Reusable metrics shared with BI
  • Experiment results in your own stack
rd audit — growthbook
rd audit --growthbook

✔ data source connected
✔ sample ratio: ok
! 2 metrics defined differently from BI
! exposure logged twice on 3% of users
✗ guardrail metrics not configured

1 critical · 2 warnings · 2 passed

// illustrative

in practice

What working with GrowthBook looks like

how-it-works

How it works

  • It is open source and warehouse-native, so experiment results are computed on your own data
  • SDKs support client-side and server-side tests plus feature flags in the same tool
  • Bayesian analysis is the default, with frequentist, sequential testing and CUPED variance reduction available
  • It can run as GrowthBook Cloud or be self-hosted when data policy requires it
problems-we-fix

Problems we fix most often

  • Exposure events logged twice or not at all
  • Metrics defined differently from your BI tool
  • Sample ratio mismatches nobody investigates
  • No guardrail metrics, so winners quietly hurt other numbers

where it fits / GrowthBook is our specialty for teams that want control of their data and flexibility in how experiments are run.

faq

Frequently asked questions

Why do you specialise in GrowthBook?

GrowthBook is open source and warehouse-native, which gives teams flexibility and control over their experiment data. We have deep experience setting it up and running advanced programs on it.

Should we use GrowthBook Cloud or self-host?

We support both. We help you pick based on your data policies, scale and team, and set up either option properly.

Can you set up GrowthBook from scratch?

Yes. We handle setup, SDK integration, metrics and your first trustworthy experiments: cloud or self-hosted setup and SDK integration, warehouse-native data source and metric definitions, environments, teams and permissions.

Can you audit our existing GrowthBook program?

Yes. An audit covers: review of experiment hygiene and exposure logging, sample ratio and metric-definition checks, statistical settings and decision rules, process and governance. You get prioritised recommendations.

Do you run advanced experiments and feature flags in GrowthBook?

Yes: advanced experiment designs and targeting, feature flags and gradual rollouts, server-side and client-side tests, custom statistics settings and guardrail metrics.

Can you connect GrowthBook to our warehouse and analytics?

Yes. We integrate GrowthBook with your data stack: bigQuery, Snowflake and other warehouses, GA4 and product analytics alignment, reusable metrics shared with BI, experiment results in your own stack.

Is GrowthBook 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 GrowthBook 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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← 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.

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