Analytics you can trust and AI-assisted conversion optimization

Measurement you can trust, and a testing program that turns more of your existing traffic into customers.

A ribbon of rising paths with one steered line running through it

Typical balance

Human-ledAI-run

40 human : 60 AI
Hybrid. Varies by engagement.

Your people keep forming the hypotheses, user experience judgment and deciding what ships.

AI takes on behavior analysis, generating test variations and automated reporting.

What is analytics and conversion optimization?

Analytics and conversion rate optimization (CRO) means measuring accurately what visitors do on your site, then testing changes that turn more of them into customers. It is usually the cheapest way to grow sales, because it improves the results from traffic you already have.

Also known as conversion rate optimization, CRO, web analytics, A/B testing and GA4 setup

Who needs analytics and conversion optimization?

Businesses with healthy traffic and disappointing sales, and those who do not trust the numbers in their analytics.

A good fit when: traffic is healthy and sales are not.

How analytics and conversion optimization works

  1. Audit

    We check that tracking is complete and accurate before drawing any conclusions.

  2. Analyze

    Behavior data shows where visitors hesitate and leave.

  3. Test

    Changes are tested against the current version, so you know what actually worked.

  4. Ship

    Winning changes are made permanent and the next test begins.

What you get

  • Tracking audit and setup
  • KPI dashboards
  • Testing roadmap
  • Conversion experiments

How long does analytics and conversion optimization take?

A tracking audit in one to two weeks; a testing program runs continuously.

Common questions about analytics and conversion optimization

What is a good conversion rate?

It varies widely by industry, price and traffic source. The useful comparison is with your own past performance and with the same traffic source over time.

What is A/B testing?

A/B testing shows two versions of a page to different visitors at the same time and measures which produces more of the result you want.

Why don't my analytics numbers match my sales?

Common causes include missing or duplicated tracking, blocked scripts, and sales that happen offline or on another device. A tracking audit finds and fixes them.

Start with an honest look at the work. Thirty minutes. No pitch deck.