Reporting

Conversion reporting

Checkout journeys lose shoppers at method selection, data entry and 3DS challenges. Checkout conversion reporting maps abandonment by stage through Cardflo’s user session tracking and payment funnel analytics.

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Reporting
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6
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E-commerce product managers must understand precisely when and why customers abandon their shopping carts during the final stages of a purchase. Identifying whether shoppers leave before selecting a payment method, during data entry, or while navigating mandatory security challenges requires granular session tracking across the entire payment page interface.

Cardflo tracks interaction data across the complete user journey from the initial cart review to final purchase confirmation. The orchestration platform delivers detailed payment funnel analytics, allowing merchants to access 3DS friction reporting, isolate payment page drop-off points, and refine the frontend checkout layout for higher customer retention.

Cardflo’s conversion reporting analyses transactions across individual MIDs, enabling merchants to pinpoint obstacles in their payment funnels. Merchants can recover lost revenue by identifying bottlenecks and optimising their payment processes more effectively.

Conversion reporting overview

Tracking user interactions during the checkout process requires specialised tools that look at shopper behaviour rather than banking metrics. This conversion data highlights usability issues and authentication bottlenecks that cause users to abandon their purchase before a transaction actually attempts processing.

Cardflo measures exactly how customers engage with payment fields, authentication challenges, and method selectors. While approval rate reporting covers why banks reject transactions after submission, this analytics module isolates the friction occurring on the merchant's own payment page.

Product teams use these insights to redesign payment layouts, adjust the display order of local payment options, and reduce step counts during the checkout phase. By mapping the exact stages where shoppers lose interest or face technical confusion, e-commerce businesses can redesign their frontend flows and improve overall cart retention.

How conversion reporting works

  1. Logging payment method selections

    The Cardflo gateway logs which payment method a customer clicks when presented with the checkout screen. The platform tracks whether the user completes the subsequent fields, switches to an alternative option, or leaves the page entirely. This data allows merchants to calculate selection rates for digital wallets versus traditional cards and rearrange the payment method display to highlight preferred options.

  2. Tracking user session drop-offs

    As the shopper progresses through the payment page, the orchestration layer records the timestamp of each completed step. If a user abandons the checkout during address entry or card number input, the platform captures this exact exit point. Product teams can view this aggregated payment funnel analytics data to spot confusing form fields and streamline data collection requirements.

  3. Measuring authentication friction

    When a transaction requires strong customer authentication, the system monitors the customer's interaction with the security challenge window. Cardflo records whether the shopper successfully verifies their identity, cancels the prompt, or closes the browser window completely. The resulting 3DS friction reporting helps merchants decide when to request exemptions or route payments through alternative acquirer partners to minimise shopper drop-off.

Why conversion reporting matters

Recovering abandoned revenue

Identifying precisely where a customer leaves the checkout allows e-commerce operators to deploy targeted layout improvements. Removing unnecessary input fields or simplifying the payment method menu directly reduces user fatigue. Merchants capture sales that would otherwise be lost to competitors, converting high-intent shoppers into completed purchases through a streamlined frontend experience.

Justifying checkout development resources

Product teams require concrete evidence to prioritise changes to the payment page interface. Granular checkout abandonment tracking provides the necessary commercial data to calculate the exact revenue impact of friction points. This ensures engineering efforts focus on resolving the most costly checkout bottlenecks, delivering a measurable return on investment for frontend design updates.

Regulatory notes for conversion reporting

Privacy requirements for session tracking

When measuring how customers interact with payment pages, merchants must comply with strict privacy regulations such as the General Data Protection Regulation and the California Consumer Privacy Act.

Tracking user behaviour requires clear consent mechanisms before capturing clicks, device types, or navigation paths during the checkout flow.

Cardflo ensures that all frontend analytics data is completely anonymised and stripped of personally identifiable information before it enters the reporting dashboard.

The platform tracks session IDs and aggregated drop-off metrics rather than individual identities, ensuring merchants can optimise their checkout layouts without breaching consumer data protection laws.

Measuring SCA checkout drop-offs

The revised Payment Services Directive mandates strong customer authentication for most electronic transactions across the European Economic Area. This regulatory requirement forces merchants to add an extra verification step to the checkout journey, which inherently introduces friction and increases the likelihood of shopper cart abandonment.

Merchants must actively monitor how these mandatory security checks affect their overall sales funnel.

By evaluating authentication drop-offs, operators can strategically request low-value or transaction risk analysis exemptions through their acquirer partners, minimising regulatory friction for trusted customers while maintaining strict compliance with regional scheme rules.

Conversion reporting use cases

Guest checkout field exits

Retail product teams measure session exits across address entry, delivery selection and card details to find where guest shoppers abandon the checkout before payment submission. Cardflo provides funnel reporting that links each session stage, device type and form outcome, helping merchants prioritise changes to fields and page sequencing.

Subscription box checkout journeys

E-commerce directors track shoppers who reach a 3DS2 challenge but leave during the bank-hosted authentication window or fail to return to the merchant confirmation page. Cardflo distinguishes challenge presentation, completion and post-authentication return stages, allowing product teams to isolate authentication friction without conflating it with earlier checkout exits.

Wallet selection drop-off

Merchants offering cards, Apple Pay and Google Pay compare payment method impressions, selections and subsequent abandonment across browser and device combinations. Cardflo reports the path from method display to payment submission, helping product managers assess wallet placement, eligibility messaging and whether shoppers retreat after choosing an unavailable or unsuitable instrument.

Delivery option abandonment

Retailers with home delivery, click and collect, and timed fulfilment slots monitor exits when shipping charges or collection availability appear late in checkout. Cardflo connects delivery-step behaviour with later payment method selection and completion, enabling e-commerce teams to identify fulfilment choices that interrupt the purchase journey before payment submission.

Conversion reporting by the numbers

2-5%
Authorisation Rate Variance

This represents the typical performance improvement observed when merchants use granular data to optimise routing between multiple acquirers based on issuer behaviour.

10-15%
Recoverable Soft Declines

Industry benchmarks suggest this percentage of failed transactions can often be recovered through data-driven retry strategies and better transaction timing.

<25%
SCA Abandonment Rate

Standard industry reporting indicates that well-optimised 3DS flows typically aim to keep authentication-related abandonment below this threshold to maintain healthy conversion.

Methodology: these figures are illustrative ranges drawn from published industry data and observed merchant cohorts, not guarantees. Actual results depend on your risk profile, card mix, geography and acquiring setup, and are confirmed only in your own pricing and approval terms.

Ready to route with Conversion reporting?

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What you get with Conversion reporting

  • Pinpoint the exact step where customers abandon carts to refine checkout flows and page layouts.
  • Measure payment method selection rates to ensure the most popular local options appear prominently.
  • Track user interactions during 3DS authentication to measure how security challenges impact final conversions.
  • Identify prolonged idle times on specific payment fields that indicate confusing data entry requirements.
  • Map the journey from cart review to completion to isolate specific payment page drop-off points.
  • Segment abandonment data by device type and geography to tailor the mobile checkout experience.
See Conversion reporting live across our acquirer partners.

A short scoping call, then a written plan for your MIDs.

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Questions about Conversion reporting

How does the platform track abandonment before the transaction is submitted?

Cardflo captures shopper interactions via our hosted payment page or drop-in user interface components. As the customer navigates the checkout fields, the frontend integration sends non-financial event logs back to the orchestration platform.

This includes clicks on payment method tabs, field completion milestones, and idle time measurements.

Because this tracking happens entirely within the browser or application interface, merchants gain full visibility into customer behaviour even if the buyer never clicks the final pay button or generates a transaction payload.

Do the reports show which specific payment methods cause the most drop-offs?

Yes, the conversion dashboard segments checkout performance by individual payment methods. Merchants can view the exact percentage of customers who initiate a specific flow, such as a Klarna redirect or an Apple Pay biometric prompt, but fail to complete it.

This data highlights whether certain third-party redirect screens are confusing users or timing out. Identifying these specific payment page drop-off points allows operators to suppress poor-performing methods or restrict them to regions where shoppers are more familiar with the interface.

What is the difference between checkout abandonment and a declined payment?

Checkout abandonment occurs when a customer voluntarily leaves the payment page or fails to complete the necessary data entry steps before the transaction is actually processed.

A declined payment happens after the customer submits their details, but the customer's bank or the acquirer partner rejects the request due to insufficient funds, risk rules, or technical errors.

Tracking abandonment requires frontend behavioural analytics, whereas measuring declines involves reading the specific response codes returned by financial institutions over the backend connection.

How do merchants isolate friction caused by 3D Secure challenges?

The Cardflo platform tags every transaction that triggers a strong customer authentication mandate. The reporting module logs the exact moment the 3D Secure window opens and tracks the subsequent user action.

If the customer abandons the page, fails the biometric check, or encounters a loading error, the gateway records this as an authentication drop-off.

Merchants use these metrics to balance security with convenience, applying exemptions through their acquirer partners where the authentication abandonment outweighs the risk of potential chargebacks.

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