Customer Journey

Traffic usually isn't the problem. Established businesses don't have an customer awareness or branding problem. The problem is what happens after a lead lands on the website.

Why A Customer Journey Is Different

GA4 shows you where people leave. It doesn't tell you why or what to fix.

Most conversion problems are friction problems: a confusing product page, a checkout with too many steps, a service page that never answers the question the visitor came with. The data shows the symptom. Finding the cause means watching actual behavior.

How I Work

I start with data, not assumptions. GA4 funnel reports show where people drop off. Hotjar, Microsoft Clarity, and Crazy Egg show what they do while they're there.

Data shows the pattern. Session recordings show the moment. Once the friction is found, fixes go in priority order: highest impact pages first, then supporting pages, then the details. You stop guessing which changes matter.

What Customer Journey Work Includes

The work starts with data, not assumptions. Before anything is recommended or changed, existing behavior on the site is documented and analyzed.

Analytics Audit

GA4 reviewed for where traffic comes from, where it goes, and where it stops converting. Funnel reports pinpoint the steps where visitors leave before buying or reaching out.

Behavioral Analysis

Heatmaps, session recordings, and click maps fill the gap GA4 numbers can't explain.

Friction Points

Analytics and behavior data point to the specific spots getting in the way. Each one is documented and ranked by impact before any fix is proposed.

Prioritized Recommendations

Not every problem is worth fixing first. Recommendations are ranked by impact and effort so there's a clear starting point, not a long list with no direction.

Implementation Support

Recommendations are written so whoever is building can act on them. Hands-on help is available depending on platform and scope.

Results

Customer journey work does not always produce a single dramatic number. The wins tend to show up as a checkout completion rate that stops declining, a contact form that starts getting used, or a product page that converts at twice the rate it did before a content fix.

The pattern is consistent: businesses that have traffic and are not converting usually have friction they have not found yet. Finding it is the work.

Case studies and specific project outcomes will be added here as they are documented.

What a Broken Customer Journey Is Costing You

Traffic That Doesn't Convert

You're paying for ads or investing in SEO and visitors show up. They just don't do anything once they land.

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The Fix

Behavior data shows where visitors stall, so the fix targets the page, not the ad budget.

Cart Abandonment You Can't Explain

Right product, competitive price, and buyers still leave before checkout. Something in the process is creating friction the numbers aren't showing.

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The Fix

Session recordings show the exact step where buyers leave, so checkout gets fixed where it breaks.

A Contact Form Nobody Fills Out

For service businesses, the form is the whole point of the site. If it's not converting, it's usually trust or friction on the page, not traffic.

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The Fix

Heatmaps show what visitors skip and where trust drops, so the page earns the inquiry.

Landing Pages That Lose The Sale

Ad clicks come in and nothing happens. The gap between what the ad promised and what the page delivers is invisible until you watch the recordings.

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The Fix

The page gets matched to what the ad promised, so clicks turn into action.

Mobile That Breaks At The Wrong Moment

A checkout or form that works on desktop and fails on mobile is losing real sales. It shows up as drop-off. The cause usually isn't obvious without behavior tools.

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The Fix

Mobile sessions get reviewed on their own, so the step that breaks on a phone gets found and fixed.

Guessing Instead Of Knowing

Redesigns and rewrites based on opinion are expensive. Skip the research and you risk making things worse.

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The Fix

Every change starts with what the data shows, so you fix the real problem the first time.

Right Fit / Not Right Fit

 

Works well for:

  • eCommerce stores with steady traffic and flat or declining conversion
  • Businesses launching or relaunching a site who want friction found before going live
  • Companies where GA4 shows a clear drop-off but not the cause
  • Service businesses with steady inquiries that go quiet before closing

Not the right fit for:

  • Sites too new to have enough behavior data
  • Businesses that need more traffic before conversion is the constraint
  • Teams not in a position to act on findings. The value comes from working through the list.

Does Any Of This Sound Familiar

  • GA4 shows a drop-off but not what's causing it
  • Pages have been changed and conversion hasn't moved
  • Traffic is steady but revenue is flat
  • You're not sure which pages are the real problem
  • A relaunch is coming and you want friction found first

Contact Cathy Gray

I work best where marketing, eCommerce, and operations overlap.
Whether you're hiring or need help with your business, I'd like to hear about it.