Prooflytics
Platform9 min read

Mollie Marketing Analytics: European Payment Data in Your Daily Briefing

Connect Mollie to Prooflytics and see checkout conversion rates, revenue, refund rates, and payment method distribution broken down by acquisition channel - so European e-commerce marketing campaigns are evaluated by what buyers actually pay, not just what they click.

E-commerce payment analytics dashboard showing European payment methods and transaction data representing Mollie marketing attribution

Mollie Marketing Analytics: European Payment Attribution

The Mollie integration in Prooflytics connects European payment data to your daily marketing briefing. Once connected, you can see checkout conversion rates, payment volume, refund rates, and payment method distribution broken down by the acquisition channel that brought each buyer - giving e-commerce marketing teams the downstream revenue signal they need to evaluate campaign quality beyond click-through rate and cost-per-click.

For European DTC and e-commerce teams, the analytics loop stops at checkout initiation. Marketing reports ROAS from Meta and Google using attributed revenue - but that attribution typically fires at checkout start or add-to-cart, not at payment completion. A campaign generating 400 checkout initiations at €15 CPL might complete 180 payments. A different campaign generating 200 checkout initiations at €28 CPL might complete 150 payments. The actual revenue per euro of ad spend differs by a factor that only becomes visible when Mollie payment completion data connects to the acquisition channel that drove each session.

Payment conversion rate: The percentage of initiated checkouts that result in a completed payment. Mollie tracks payment status at the transaction level - initiated, pending, paid, failed, expired, cancelled. Payment conversion rate by acquisition channel measures how efficiently each campaign converts checkout-initiating buyers into paying customers. Industry research from Swell (2025) puts average cart abandonment at 70.22%, meaning fewer than 3 in 10 checkout initiations result in purchase completion across all e-commerce categories.

Chargeback: A payment reversal initiated by the cardholder's bank after a customer disputes a transaction. Chargeback rates above 1% trigger payment processor scrutiny and can result in higher processing fees or account review. By acquisition channel, above-average chargeback rates signal that a campaign is attracting fraudulent or highly impulsive buyers who dispute transactions at above-average rates.

Refund rate: The percentage of completed payments that are subsequently refunded by the merchant. Refund rates by acquisition channel reveal product-market fit issues at the campaign level: campaigns that attract buyers with above-average refund rates may be generating demand through misleading creative or reaching audiences with mismatched product expectations.

Local payment method: A payment method dominant in a specific European market. Mollie supports iDEAL (Netherlands, 70%+ of Dutch online transactions), Bancontact (Belgium), SEPA Direct Debit (EU B2B), Klarna (BNPL), SOFORT Banking (Germany, Austria), and Cartes Bancaires (France). Offering the wrong payment method set at checkout reduces conversion rates for campaigns targeting specific EU markets - making payment method distribution by acquisition channel a diagnostic metric for European audience-specific campaigns.

What data Prooflytics pulls from Mollie

Mollie captures transaction-level data for every payment, refund, chargeback, and subscription event in your account. Prooflytics maps this into the revenue layer of your daily briefing alongside acquisition channel data from your ad platforms.

Key data objects available through the Mollie integration:

  • Payment volume and revenue by acquisition channel - total paid transactions and revenue grouped by the UTM parameters passed through to Mollie's metadata field at checkout, enabling per-campaign revenue attribution directly from payment data
  • Payment conversion rate by channel - the percentage of payment initiations that complete as successful payments for each acquisition source, identifying which campaigns attract buyers who complete checkout vs. abandon at payment step
  • Payment method distribution by channel - the breakdown of payment methods used (iDEAL, Bancontact, credit card, SEPA, Klarna, PayPal) for payments from each acquisition source, revealing which campaigns attract audiences with specific local payment preferences
  • Refund rate by acquisition source - the percentage of completed payments from each channel that are subsequently refunded, identifying campaigns with above-average product-expectation mismatch
  • Chargeback rate by channel - the percentage of completed payments that are disputed by cardholders, by acquisition source, flagging campaigns attracting fraud-prone or highly impulsive buyer segments
  • Subscription metrics by acquisition source - for subscription-based businesses, new subscription starts, renewals, and cancellations grouped by the acquisition channel that generated each customer, enabling LTV-by-channel analysis

Key Mollie metrics to track in your marketing briefing

Connecting Mollie adds the actual payment completion layer that closes the attribution loop between ad spend and revenue:

Payment conversion rate by campaign - the percentage of initiated checkouts that result in completed payment for each acquisition source. A payment conversion rate of 65% on paid search traffic vs. 38% on display traffic signals that paid search brings buyers who have stronger purchase intent at the moment they reach checkout. When ROAS is calculated using payment completion data rather than checkout initiation, the channel efficiency ranking often changes significantly.

Revenue per acquisition channel (actual, not attributed) - total completed payment revenue from Mollie grouped by the UTM campaign parameter passed in payment metadata. This is not GA4 attributed revenue (which uses probabilistic models) - it is actual completed payment revenue associated with the campaign UTM that the buyer carried to checkout. For European e-commerce teams using Mollie as their primary payment processor, this is the most accurate per-channel revenue signal available.

Payment method mismatch signal - when a campaign targeting German audiences generates above-average credit card payments and below-average SOFORT/SEPA payments, it indicates either a payment method availability problem at checkout or audience targeting drift. According to Mollie's European Ecommerce Report 2025 (based on a survey of 10,000 European consumers), offering the right local payment method is the single most important factor in convincing EU consumers to complete a purchase. Monitoring payment method distribution by acquisition channel in Prooflytics surfaces method-audience mismatches before they compound into checkout abandonment patterns.

Refund rate by channel - the percentage of completed payments that are refunded within 30 or 90 days, by acquisition source. Refund rates above 5-8% in most product categories indicate creative or copy that overpromises, audience targeting that reaches buyers in the wrong intent state, or product descriptions that don't match what buyers receive. By channel, refund rate tells marketing which campaigns generate buyers with accurate expectations vs. which generate returns.

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The local payment method conversion gap

The ICP problem this creates for European e-commerce marketers: campaigns targeting specific EU markets achieve different checkout conversion rates based on the payment methods available at checkout - and most campaign reporting doesn't capture this gap because the analytics stack measures clicks and sessions, not payment method availability at the checkout point.

Mollie's European Ecommerce Report 2025, based on surveys of 10,000 European consumers, identifies unavailable payment methods as a primary driver of cart abandonment. The average cart abandonment rate is 70.22% across European e-commerce categories. For Dutch buyers, iDEAL is the default preferred method - campaigns driving Dutch traffic to a checkout that offers only credit cards or PayPal will lose a significant fraction of buyers who would otherwise convert. The same dynamic applies to Bancontact in Belgium and SOFORT in Germany.

When Mollie payment method distribution by acquisition channel appears in Prooflytics, campaigns targeting specific EU markets can be diagnosed for payment method fit: if a campaign targeting Dutch consumers shows 85% iDEAL usage and 12% credit card, the checkout is working for the audience. If a campaign targeting German consumers shows 90% credit card and 3% SOFORT, the payment method configuration may be limiting conversion for that market segment. This diagnostic is only possible when Mollie's payment data connects to the acquisition channel - and Prooflytics is where that connection happens in the daily briefing.

How to connect Mollie to Prooflytics

Connecting Mollie takes under five minutes:

  1. Open Settings to Data Sources to Mollie in your Prooflytics account
  2. Click Connect - you'll be prompted to authenticate using your Mollie API key, available in your Mollie dashboard under Developers to API keys
  3. Select Live or Test mode - use the Live API key for production payment data; Test key for integration validation only
  4. Wait for the first sync - payment, refund, and subscription data from the past 90 days loads within 24 hours; new payment data syncs to your briefing each morning

Note: For per-channel attribution to work in Prooflytics, UTM parameters from your marketing campaigns must be passed to Mollie's payment metadata field at checkout initiation. This is typically implemented in your checkout flow: the frontend reads UTM values from the URL or session storage and includes them in the metadata object when creating a Mollie payment. Without metadata-based UTM attribution, payment data in Prooflytics appears at the aggregate level without per-acquisition-channel breakdowns.

Using Mollie alongside other tools in Prooflytics

Mollie is most analytically powerful when connected alongside your ad platforms and web analytics tools. For teams using Shopify as their e-commerce platform with Mollie as the payment processor, connecting both in Prooflytics creates a complete picture from campaign to product view to checkout initiation to payment completion to refund, all by acquisition channel.

For European subscription businesses using Mollie for recurring SEPA or card payments, connecting Mollie alongside Chargebee or another subscription management tool in Prooflytics provides the full recurring revenue view: Mollie for transaction-level payment completion data, Chargebee for subscription lifecycle analytics (MRR, churn, LTV) by acquisition channel.

For teams comparing Mollie to Stripe as a payment processor - a common evaluation for EU-first businesses - the key analytical difference in Prooflytics is local payment method coverage: Mollie's data includes iDEAL, Bancontact, and SOFORT transactions, which are underrepresented in Stripe's default European reporting.

You can read independent reviews of Prooflytics on G2 and compare it to alternatives in the marketing analytics category.

Bottom line

  • Payment conversion rate by acquisition channel is the revenue quality signal for European e-commerce: a campaign generating buyers who complete payment at 55% vs. 32% is delivering fundamentally different ROI even at the same CPL
  • Payment method distribution by channel is the EU-specific diagnostic: campaigns targeting Dutch, German, or Belgian audiences should show above-average iDEAL, SOFORT, or Bancontact usage - deviations signal checkout payment method gaps for specific audience markets
  • Refund rate by channel reveals product-expectation mismatch: campaigns with above-5% refund rates are sourcing buyers whose purchase intent or product understanding is below average
  • UTM metadata in Mollie payments is the required setup step for per-channel attribution - without it, all payments appear as direct and channel-level analysis is unavailable
  • Connection takes under five minutes via Settings to Data Sources to Mollie; explore the full integrations catalog or contact the team for help configuring UTM metadata attribution in your checkout flow

Frequently asked questions

How often does Mollie data sync in Prooflytics?+

Mollie data syncs daily. New payment completions, refunds, and subscription events from the previous 24 hours appear in your next morning's briefing. Historical data from the past 90 days loads during the initial sync when you first connect. Real-time payment status and live dashboard reporting remain in Mollie's native dashboard.

Which Mollie metrics are available in Prooflytics?+

Prooflytics pulls payment volume and revenue (by currency and payment method), payment conversion rate, refund rate, chargeback rate, payment method distribution, and subscription metrics (new starts, renewals, cancellations). Per-channel breakdowns are available when UTM parameters are passed in Mollie payment metadata at checkout.

How does UTM attribution work in Mollie?+

Mollie supports a metadata field on payment objects where arbitrary key-value data can be stored. By passing UTM source, medium, and campaign values from the user's session into the metadata when creating a payment, Prooflytics reads those values and groups all payment metrics by acquisition channel. This is a custom implementation in your checkout flow - it requires a developer to pass UTM session values into the Mollie API call when initiating the payment.

Does Prooflytics support Mollie Test mode payments?+

Prooflytics syncs from your Live Mollie environment by default, as Test mode payments are not real revenue and would distort attribution reporting. If you are setting up the integration for the first time and want to verify the metadata attribution flow before going live, connect Test mode temporarily, validate that UTM values appear in the daily briefing, then switch to the Live API key for production reporting.

What is the average payment conversion rate I should expect from Mollie?+

Payment conversion rate varies significantly by product category, checkout UX, and payment method availability. Industry-wide cart abandonment averages 70.22%, implying a checkout-to-payment conversion rate of roughly 30%. Optimised checkouts with appropriate local payment methods for the target market can achieve 40-60% conversion. Mollie's payment completion data in Prooflytics lets you benchmark your actual per-channel conversion rate against those ranges and identify which campaigns bring buyers with higher-than-average purchase intent.

Prooflytics

Stop stitching platform exports together

Every channel in one brief — plus the memory of what each one actually drove.

14 days free · no credit card