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Michael de Beer
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Experimentation & CRO

Conversion rate optimization (CRO)

A structured CRO process, from defining conversions to A/B testing every change, that turns more of your existing traffic into leads and sales.

Conversion rate optimization is the process of improving your website so that more visitors take the action you want. It works through content improvements, split testing and workflow changes, and the result is better-qualified leads, more revenue and lower acquisition costs.

The average ROI from CRO tools is estimated at 223%, and 59% of companies say CRO is crucial to their overall marketing strategy. If you aren’t optimizing your digital footprint, you can be sure your competitors are. In short, optimization matters because it makes all your other marketing more efficient.

How I develop a CRO strategy

1. Define your conversions and KPIs

A conversion can take many forms, so first we identify the key actions you want users to take. If that data isn’t available yet, we use a tag manager to track those elements, pages and users. Examples of a conversion:

  • Completing an online purchase
  • Subscribing to receive content
  • Registering personal information
  • Downloading a content piece
  • Spending a certain amount of time on your site
  • Upgrading to a higher level of service
  • Sometimes just a click on a button. That click signals intent, and those users can be retargeted with remarketing even if they didn’t finish.

2. Map the customer journey and analyze behaviour

Every customer interaction is a moment of truth: a chance to strengthen the relationship. Understanding the journey in depth shows you the pain points to fix and what to repeat.

To find which touchpoints to improve, for landing pages and for getting deeper into the funnel, we build customer profiles and site segments to see who is most likely to convert and why. We look at:

  • Demographics: age, gender, income bracket
  • Behaviour: site sections visited, products added to cart, forms started but not completed
  • Geography: location, designated market areas, local
  • User type: first-time or returning, logged in or not, never purchased or previous customer

AI and machine learning can divide customers into segments and sub-segments from this data, then rank them by likelihood to convert, so you target the most valuable customers with timely, relevant messages.

3. Collect as much data as possible

A tag manager adds engagement and intent tracking to that journey. This data reveals optimization opportunities that basic analytics hides, and it becomes the measure of whether your changes work:

  • Did the user scroll to the button you want them to click?
  • Did they start converting (click “Buy now”, “Sign up” or another key event)?
  • Did they start a purchase or sign-up form but fail to submit it? Which validation errors did they hit, and which fields make them hesitate?

4. Take “I think” out of the process

Once the analysis shows where the pain points are (which segments, pages and funnels struggle most) we optimize those. The data decided what to change, and the data decides whether the change worked. “I think” is replaced by “the data shows”.

  • A/B test every change.
  • Let the data show which change worked, or which worked best. Sometimes every variant beats the current experience.
  • Let the data show which segments improved and which still need work.
  • Run a follow-up test for the segments that didn’t convert, personalizing the page or reworking the funnel (one long form or three shorter ones, for example).

The full CRO checklist

  1. Define goals and KPIs. Key actions, plus measurable KPIs such as conversion rate, bounce rate, session duration and cart abandonment.
  2. Analyze behaviour. GA4, Hotjar, Crazy Egg or Microsoft Clarity; heatmaps and session recordings to find friction; surveys for qualitative insight.
  3. Improve UX and design. Clear navigation, shorter forms, a strong mobile experience and fast page loads.
  4. Optimize calls to action. Clear, action-oriented text, buttons that stand out, and A/B tests on the variations.
  5. Improve content and messaging. Persuasive copy that highlights benefits, personalization, and trust signals such as reviews, testimonials and case studies.
  6. Run A/B and multivariate tests. Headlines, CTAs, layouts and checkout flows, segmented by traffic source, device and intent.
  7. Optimize landing pages. Match the message to the ad or email, remove distractions, use engaging media.
  8. Streamline checkout and lead capture. Fewer steps, guest checkout, multiple payment options and exit-intent offers.
  9. Use retargeting and email. Reach visitors who left, guide them with automated drip emails, and offer incentives.
  10. Monitor and iterate. Keep analyzing, keep up with best practice, and let test results decide.

Testing is where most of the gains are proven. Read more about A/B testing and experimentation.