Customer Journey
Traffic is not the problem. Most businesses that reach out already have visitors. The problem is what happens after they arrive.
Why This Is Different
GA4 shows you where people leave. It does not tell you why they left or what to fix.
Most conversion problems are not traffic problems. They are friction problems. A confusing product page, a checkout flow with too many steps, a service page that never answers the question the visitor came with. The data shows the symptom. Finding the cause requires looking at actual behavior.
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 is reviewed to understand where traffic comes from, where it goes, and where it stops converting. Funnel reports identify the specific steps where visitors drop off before completing a purchase or inquiry.
Behavioral Data Analysis
Heatmaps, session recordings, and click maps from tools like Hotjar, Microsoft Clarity, or Crazy Egg show what visitors actually do on the page. This fills the gap that GA4 numbers alone do not explain.
Friction Point Identification
Analytics and behavioral data together point to specific places on the site where something is getting in the way. Each friction point is documented and ranked by estimated impact before any fix is proposed.
Prioritized Recommendations
Not every problem is worth fixing first. Recommendations are ranked by the size of the issue and the effort required to address it, so there is a clear starting point rather than a long list with no direction.
Implementation Support
Recommendations are written to be actionable for whoever is doing the build. For teams that need hands-on help executing changes, implementation support is available depending on the platform and scope.
How I Work
I start with data. GA4 funnel reports, heatmaps, and session recordings show where people drop off. HotJar, Microsoft Clarity, and CrazyEgg show what they do while they are there.
Data shows the pattern. Session recordings show the moment. Once the friction is identified I work through fixes in priority order — highest impact pages first, then supporting pages, then the details.
Customer Journey 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 Does Not Convert
You are paying for ads or investing in SEO and visitors are arriving. They are just not doing anything when they get there. The problem is not the traffic source. It is what happens after they land.
Cart Abandonment You Cannot Explain
The product is right, the price is competitive, and buyers are still leaving before checkout. Something in the process is creating friction that the data alone is not showing you.
H3: A Contact Form Nobody Fills Out
For service businesses, the inquiry form is the whole point of the website. If it is not converting, it is usually a trust or friction problem on the page itself, not a traffic problem.
Landing Pages That Lose the Sale
Ad clicks are coming in and nothing is happening. The disconnect between what the ad promised and what the page delivers is often invisible until you look at session recordings.
Mobile Experience That Breaks at the Wrong Moment
A checkout flow or contact form that works on desktop and fails on mobile is losing real sales. It shows up in the data as drop-off. The cause is usually not obvious without behavioral tools.
Guessing Instead of Knowing
Making changes to the site based on opinion rather than behavioral data is expensive. Every redesign or copy rewrite that skips the research phase risks making things worse, not better.
Right Fit / Not Right Fit
Works well for:
- eCommerce stores with consistent traffic and flat or declining conversion rates
- Businesses launching or relaunching a site who want friction identified before going live
- Companies where GA4 shows a clear drop-off in the funnel but the cause is not obvious
- Service businesses getting steady inquiries that go quiet before closing
Not the right approach for:
- Sites too early in their lifecycle to have enough behavioral data to work with
- Businesses that need more traffic before conversion rate becomes the constraint
- Teams not in a position to act on findings — a friction audit produces a prioritized list of changes, and the value comes from working through it
Where This Works Best
- eCommerce stores with consistent traffic and flat or declining conversion rates
- Businesses launching or relaunching a site who want friction identified before going live
- Companies where GA4 shows a clear drop-off in the funnel but the cause is not obvious
- Service businesses getting steady inquiries that go quiet before closing
Does Any Of This Sound Familiar
- GA4 shows a drop-off in the funnel but not what is causing it
- Changes have been made to pages but conversion has not moved
- Traffic is consistent but revenue is flat
- It is unclear which pages are the actual problem
- A site relaunch is coming and friction needs to be identified before it goes live
Let's Connect
I’m open to new marketing opportunities and always up for a good conversation over coffee.
If you’re looking for a marketing professional who can hit the ground running, let’s talk.