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Customer story 01Anonymous D2C commerce brand

Finding the friction that costs D2C revenue

Behavioural, technical, and feedback signals reveal where motivated shoppers are blocked and which experience problems deserve attention first.

Read the story
+20%
website revenue
+16%
desktop checkout conversion
+53.37%
revenue per visitor
-35.12%
exit rate

The customer

A growing business with a specific customer question.

A growing D2C business needed to understand why motivated shoppers were leaving product, cart, and checkout journeys before completing a purchase.

The team connected page engagement, technical failures, and real-user performance to revenue outcomes instead of treating each issue in isolation.

The challenge

The business problem behind the headline.

A checkout drop does not automatically mean demand disappeared. A shopper may have missed an important action, hesitated over a subscription or delivery choice, reached an empty cart state, encountered a payment or request failure, or waited through a slow page.

The team must separate customer choice from preventable experience failure and connect the affected behaviour to revenue before deciding what to change.

Inside the workflow

See where attention and action diverge

CX

Heatmaps · Product detail

Illustrative Cxorbi product view

High attention
Low action

Exposure

High

Interaction

Low

Hesitation

Elevated

A Cxorbi heatmap view can compare element exposure, interaction, and hesitation across a product or subscription page.

Inside the workflow

Follow a broken path from cart to checkout

CX

Journey Analysis · Checkout

Illustrative Cxorbi product view

Cart to purchase journey

All devices · New customers

Step 1

Product100%

Step 2

Cart72%

Step 3

Checkout51%

Step 4

Complete43%

Experience issue detected

Unexpected empty cart state

Affected sessions cluster before the checkout step and include a failed cart request.

Investigate with

12 related replays

Error and device context attached

Journey analysis connects an unusual exit pattern to the sessions, errors, and experience state behind it.

Inside the workflow

Monitor experience quality with business context

CX

Web Performance · Overview

Illustrative Cxorbi product view

LCP

2.1 s

Good

INP

184 ms

Good

CLS

0.08

Good

Experience trend

p75 · Mobile

Business impact

Conversion context

Compare fast and slow cohorts without leaving the performance view.

Real-user Core Web Vitals can be reviewed by page and device alongside trend and conversion context.

The approach

From customer signal to a measurable decision.

  1. 1

    Use funnel analytics to locate the step, segment, device, or browser where exits increase.

  2. 2

    Inspect errors and failed requests to determine whether a technical problem interrupted the journey.

  3. 3

    Review real-user performance to see whether speed, responsiveness, or layout stability contributed.

  4. 4

    Open affected session replays and heatmaps to understand what customers actually experienced.

  5. 5

    Ask a focused in-flow question when behaviour alone cannot explain the hesitation.

  6. 6

    Measure conversion, revenue, and digital-quality outcomes before and after the change.

The results

Revenue improved across the customer journey.

After prioritizing the highest-impact journey friction, the team improved website revenue, desktop checkout conversion, revenue per visitor, and exit rate.

  • Website revenue increased by 20% after the highest-impact experience friction was addressed.
  • Desktop checkout conversion increased by 16% as more motivated shoppers completed the journey.
  • Revenue per visitor increased by 53.37%, while exit rate fell by 35.12%.
+20%
website revenue
+16%
desktop checkout conversion
+53.37%
revenue per visitor
-35.12%
exit rate

The Cxorbi workflow

Apply the same decision pattern to your own customer journey.

  1. Find the highest-value drop in a purchase or checkout funnel.
  2. Connect that drop to errors, performance, replays, and page-level interaction.
  3. Prioritize the issue by affected sessions and commercial value, not anecdote alone.
  4. Validate the release against the same journey and outcome measures.

Find the moments shaping revenue in your own journey.

Start with one conversion path and connect customer behaviour, technical quality, feedback, and business outcomes in a focused proof of value.

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