Real ecommerce results. Merchant privacy protected.
See how CartDNA helps merchants improve checkout conversion, reduce payment friction, and recover lost revenue through anonymised insights, aggregated performance data, and practical optimisation examples.
Why our case studies are anonymised
Privacy-first by design
Many merchants do not want their commercial performance, payment data, or conversion weaknesses published publicly. To respect GDPR, confidentiality, and platform sensitivity, CartDNA does not disclose identifiable merchant case studies on this page.
Real outcomes without exposing identities
Instead of naming merchants, we share anonymised performance patterns, solution approaches, and measurable outcomes. This gives you useful proof without compromising client privacy, commercial trust, or compliance.
Read about security and complianceWhat merchants improve with CartDNA
Results vary by store size, traffic quality, payment setup, device mix, market, and implementation quality.
Anonymised merchant success stories
These examples reflect real optimisation patterns seen across ecommerce stores. Merchant names, identifying details, and sensitive operational data have been removed.
Reducing friction on mobile payment flows
Mid-sized ecommerce store | Europe | High mobile traffic
Challenge
The store had strong product interest but weak checkout completion on mobile, especially at the payment stage.
What CartDNA helped improve
- Identified friction points in the checkout path
- Highlighted weak-performing payment flow steps
- Supported faster optimisation priorities
- Improved visibility into conversion drop-offs
Result
+21% checkout completion improvement over 45 days
Finding hidden revenue loss in payment failures
Growing Shopify merchant | Multi-market sales | Mixed payment methods
Challenge
The merchant saw abandoned checkouts and unclear transaction failure patterns, but lacked clear visibility into why customers were dropping off.
What CartDNA helped improve
- Surfaced transaction and payment issue patterns
- Improved reporting visibility
- Enabled faster response to recurring checkout problems
- Supported better payment experience decisions
Result
-18% avoidable payment failure loss in 30 days
Using structured testing to improve checkout decisions
Established brand | High order volume | Conversion-led growth team
Challenge
The merchant wanted to improve checkout performance but needed better insight before rolling out major changes.
What CartDNA helped improve
- Supported test-led optimisation
- Tracked meaningful conversion patterns
- Compared performance shifts with more confidence
- Helped prioritise profitable improvements
Result
+14% revenue per visitor after iterative testing
Turning raw checkout data into clearer action
Shopify merchant | Lean team | Limited internal analytics resources
Challenge
The team had data, but not enough clarity. Reporting was slow. Priorities were unclear. Revenue leaks stayed hidden for too long.
What CartDNA helped improve
- Centralised performance insight visibility
- Made key checkout patterns easier to spot
- Reduced guesswork in optimisation planning
- Improved ongoing monitoring and decision speed
Result
Faster action across reporting, monitoring, and optimisation workflows
How results are achieved
Detect the friction
Identify where shoppers hesitate, abandon, or fail to complete payment.
Measure the impact
Track the signals that affect conversion, payment performance, and revenue.
Prioritise improvements
Focus on the fixes and opportunities most likely to increase checkout success.
Optimise continuously
Use reporting, monitoring, and testing to keep improving over time.
What strong checkout optimisation usually improves
When merchants improve checkout clarity, payment flow visibility, and ongoing performance monitoring, the impact often appears in four areas.
CartDNA helps merchants understand these patterns earlier, act faster, and build a more efficient Shopify growth workflow.
Proof that respects privacy
No public merchant exposure
Identifiable merchant names, commercial weaknesses, and sensitive operating details are not published.
Useful insight still shared
You still get clear examples, outcomes, methods, and performance patterns that help you evaluate CartDNA.
Built for trust
Privacy-aware communication supports merchant confidence, stronger compliance, and better long-term relationships.
Frequently asked questions
Why are merchant names not shown?
To protect confidentiality, privacy, and commercially sensitive information. This page uses anonymised examples instead.
Are these examples based on real scenarios?
Yes. They reflect real ecommerce optimisation patterns, but identifying details have been removed.
Can I still understand the value of CartDNA?
Yes. The page focuses on the challenges, optimisation approach, and outcomes that matter most to merchants evaluating growth tools.
Does anonymised reporting weaken trust?
No. For many merchants, privacy-aware proof builds more trust because it shows that sensitive data is handled carefully.
Where can I learn more about the product?
You can explore checkout optimisation, conversion uplift, merchant dashboard, reporting, and monitoring pages across the site.
Explore related resources
Shopify merchants guide
Practical advice for merchants focused on growth, checkout performance, and revenue improvement.
Payment risk guide
Learn how to reduce payment friction, manage failed transactions, and improve risk awareness.
Merchant dashboard
See how CartDNA helps merchants monitor performance, payments, and store-level insight in one place.
Alerts and monitoring
Detect issues faster and respond before they affect conversion and revenue.
Want results without guesswork?
CartDNA helps Shopify merchants uncover conversion barriers, monitor payment performance, and act on revenue opportunities with greater confidence.