Nabeyond ltd t/a CartDNA is a CartDNA is a Shopify Payment App Development Partner
Run structured checkout experiments with CartDNA. Test payment method changes, traffic splits, and market-level checkout variations using real performance data, so you can improve conversion with lower risk.
Reduce guesswork. Protect revenue. Learn what actually improves checkout.
CartDNA helps you compare a control checkout setup against a treatment version. This lets you test whether changes such as new payment methods, different payment ordering, or local method visibility improve conversion before wider release.
Good testing is not about changing more. It is about proving what improves conversion, revenue per session, and checkout completion.
Test a payment or checkout change with only part of your traffic first.
Find out whether a change improves performance before pushing it live for all.
Avoid full-site mistakes by validating with measured results first.
The strongest tests are tied to payment behaviour, payment relevance, and checkout completion, not vanity metrics.
Identify what you want to improve and why
Create the variations you want to compare
Allocate traffic between test groups
Track conversion and revenue performance
Apply the best-performing setup
CartDNA helps merchants test checkout changes in a measured way. Start with a clear hypothesis, assign traffic, compare treatment against control, then adopt the winning setup only after performance is proven.
Start with a smaller share of traffic if risk is high. Increase allocation as confidence grows.
CartDNA supports staged checkout optimisation. This matches the practical testing principle of exposing a treatment to a chosen share of buyers first, then increasing rollout only when the results support it.
CartDNA focuses on practical experiment reporting, so merchants can see whether a checkout change improved completed sessions, revenue performance, and payment mix quality.
Average revenue per session is a guiding metric for overall experiment success, because it reflects both revenue and conversion outcomes across all sessions.
Keep the test running until session volume is sufficient for a reliable decision.
Roll forward when treatment clearly improves performance with confidence.
Revert or revise when the treatment reduces checkout performance.
CartDNA should present results in a way merchants can act on. That means clear signals, readable experiment summaries, and no pressure to call a winner too early.
Test iDEAL visibility and placement for local users
Measure Bancontact impact before wider rollout
Compare wallets and fast checkout methods first
Test BNPL visibility for eligible order values
CartDNA should help merchants match payment methods to the markets and buyers most likely to use them. This improves relevance and reduces weak global rollouts.
Validate changes before full checkout release.
Introduce new methods in a staged and measured way.
Turn payment performance into practical decisions.
Test market-specific payment strategies with confidence.
Improve completion and revenue from existing traffic.
Pause, continue, or revert with better visibility.
CartDNA supports testing and optimisation around checkout experience and payment presentation. Sensitive cardholder data is not stored by CartDNA.
You can test payment method changes, local payment visibility, traffic allocation strategies, mobile payment prioritisation, and checkout rules that affect conversion.
Because a payment method that looks promising may not improve conversion for every country, device, or basket value.
CartDNA should track conversion rate and revenue outcomes together. Average revenue per session is a strong guiding metric because it reflects both revenue and conversion.
Yes. A staged rollout model helps reduce risk. Start smaller, then expand when results are strong.
No. CartDNA does not store cardholder sensitive data.
You already invest in traffic and payment performance. CartDNA helps you test checkout changes properly, reduce rollout risk, and scale only what improves conversion and revenue.
