Approval · cost · dispute · reconciliation

Payment analytics across every connected provider, in one dataset.

topropay's analytics layer reads the same event stream that drives routing, settlement and dispute — so approval, cost, dispute and reconciliation metrics sit in one place, cut by BIN, country, scheme, currency, acquirer and routing policy. CSV, API and warehouse-ready exports for your BI stack.

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1
dataset across every connected provider
BIN-level
approval, cost, dispute analytics
Real-time
metrics inside the dashboard
Export
CSV / API / warehouse-ready

Key benefits

Four families that make business payment analytics actionable

Approval, cost, dispute and reconciliation — the four metric families that turn raw event data into decisions about routing weights, acquirer pricing and finance close.

  1. 01

    Approval analytics

    Approval rate per BIN, per scheme, per country pair, per acquirer and per routing policy. Spot the lanes where the engine over-performs or under-performs and feed that back into the routing weights.

  2. 02

    Cost analytics

    Interchange-plus, scheme fees and acquirer markup decomposed per transaction. Track effective cost as a share of volume, per acquirer and per scheme; surface arbitrage opportunities across the panel.

  3. 03

    Dispute & chargeback analytics

    Dispute and chargeback ratios per acquirer against the relevant scheme programme thresholds (Visa VDMP / VAMP / VFMP, Mastercard ECP / EFMP). Win-rates per evidence-pack template; first-party-fraud share.

  4. 04

    Reconciliation analytics

    Settlement timing accuracy, per-acquirer settlement-vs-capture variance, fee-row coverage and unreconciled-row aging. The book-keeping side of the same event stream.

How payment data analytics plugs in

From signed event to BI-ready row in four stages

The data path from authorisation event through to a row in the merchant's BI stack — and where topropay sits inside that chain.

  1. 01

    Event capture

    Every authorisation, capture, refund, settlement and dispute fires a signed event into the platform's event store the moment it happens.

  2. 02

    Normalisation

    Per-acquirer files and per-scheme messages normalise into one schema — payment ID, method, BIN, country, currency, acquirer ID, fees, net-of-fees amount.

  3. 03

    Aggregation & cuts

    Live aggregates power the dashboard cuts (approval, cost, dispute) across BIN, country, scheme, currency, acquirer and routing policy.

  4. 04

    Export & integration

    CSV exports, REST API, webhook stream, and warehouse connectors (BigQuery, Snowflake, Redshift) for the merchant's own BI stack.

Main use cases

Where ecommerce payment analytics turns into operating decisions

Six common ways merchant, PSP and finance teams turn the dataset into approval lift, cost reduction, risk monitoring and finance close acceleration.

  • Lift

    Approval-rate lift programmes

    Use ecommerce payment analytics to identify under-performing BINs, retune the routing policy and prove the lift in approval over a defined window.

  • Cost

    Effective-cost reduction

    Data analytics payment processing teams use the cost cuts to negotiate down acquirer markup, switch routing weights to lower-cost lanes, or split traffic by interchange rate.

  • Risk

    Programme-position monitoring

    Track every connected acquirer's position against scheme programme thresholds; rotate routing weights away from at-risk lanes before they tip.

  • Fin

    Finance and reconciliation close

    Close the period faster by surfacing unreconciled rows and settlement variance before the close cycle begins.

  • Ops

    Operations and incident response

    Real-time dashboards surface error-rate spikes per provider during a partial outage — operations rotates traffic before the buyer-facing impact compounds.

  • PSP

    PSP / reseller portfolio analytics

    PSPs cut the data by downstream merchant or merchant group; portfolio dashboards show approval and cost per merchant alongside aggregate volume.

Platform features

Capabilities behind the payment analytics platform

Twelve capabilities the platform ships once and reuses across every connected provider — the primitives that make the dataset a usable platform-of-record.

  • Unified event store One event stream covers authorisations, captures, refunds, settlements, disputes — across every connected provider.
  • BIN-level cuts Approval, cost, dispute and reconciliation metrics down to the issuing BIN.
  • Per-acquirer cuts Comparable metrics per connected acquirer; routing-policy share and effective cost surfaced side-by-side.
  • Country and currency cuts Per-country-pair, per-currency cuts to surface where local acquiring pays off against cross-border lanes.
  • Scheme programme tracking Live position vs Visa VDMP / VAMP / VFMP and Mastercard ECP / EFMP thresholds per acquirer.
  • Cost decomposition Interchange-plus, scheme fees, acquirer markup decomposed per transaction; effective cost as a share of volume.
  • Custom routing-policy analytics Compare approval and cost outcomes across active and shadow routing policies before promoting.
  • Cohort & segment views Cut by merchant segment, vertical, marketing channel or any custom tag the merchant ships on the authorisation.
  • Real-time alerting Threshold alerts on approval drops, dispute-rate spikes, error-rate increases or unreconciled-row aging.
  • CSV & API exports Dashboard cuts as CSV, full event stream via API or signed webhooks for ingestion.
  • Warehouse connectors BigQuery, Snowflake, Redshift connectors for direct ingestion into the merchant's BI stack.
  • Role-based access Per-team dashboards with row-level access by merchant, by region or by vertical for PSPs and resellers.

Industry relevance

Built for licensed merchants, PSPs and finance teams across EU, UK, APAC and LATAM

topropay's payment analytics layer serves three audiences with overlapping needs — merchants tuning their programme, PSPs running portfolios, and finance teams closing the books.

Merchants

DTC, marketplace, SaaS, travel and B2B teams running their own payment programme. Approval, cost and dispute cuts surfaced inside one dashboard alongside the routing-policy editor.

PSPs & resellers

Resellers cutting analytics by downstream merchant; portfolio dashboards roll up volume, approval, cost and dispute outcomes across the book.

Finance & analytics teams

Finance ingesting the normalised event stream into BigQuery / Snowflake; analytics teams cutting custom cohorts off the same dataset.

Trust & compliance

Compliance posture under the payment analytics and reporting layer

The same audited environment that backs routing, vault and reconciliation backs the analytics dataset — plus data-residency options and granular role-based access.

PCI DSS Level 1
Card data captures into the platform vault before any acquirer sees it; analytics rows reference vault-token shapes, not PAN.
Data residency
Per-merchant data-residency options where regulatory or commercial constraints require EU-resident storage.
Audit-grade event log
Every status transition logged with timestamp, actor identity (where authenticated) and acquirer response code.
Role-based access controls
Granular dashboard access per team, region or merchant segment; full audit trail on access changes.
SCA & PSD2 posture
Authentication outcomes surfaced inside the analytics dataset — selective 3DS2 vs frictionless, per-issuer behaviour.
Licensed verticals only
Licensed gaming, regulated financial services and other compliance-bound verticals supported only where current operating licences exist. Grey and black-market verticals are out of scope.

Ready to consolidate the dataset

Bring approval, cost, dispute and reconciliation analytics under one roof.

A 30-minute walk-through covers the cuts that matter to your programme — approval lift, effective cost, scheme-programme position, finance close — and the export paths that connect to your existing BI stack before any commercial commitment.

Book a dashboard walk-through Read the API docs

Frequently asked

Buyer questions about payment analytics on topropay

Definitions, hosted-vs-software framing, BI-stack integration, programme position tracking and the practicalities of running analytics off the same event stream as routing.

  1. 01

    What does payment analytics on topropay actually cover?

    Payment analytics on topropay covers approval, cost, dispute and reconciliation metrics across every connected acquirer, PSP and method. The data layer reads the same event stream that drives routing, settlement and dispute — so the analytics aren't a separate snapshot, they're the live state of the operating system.

  2. 02

    Is this delivered as payment analytics software or as a hosted service?

    It's delivered as a hosted service — the payment analytics software layer is part of the topropay platform. There's no separate analytics product to install; the dashboards, the export API, the warehouse connectors and the alerting all sit inside the same merchant portal as the routing-policy editor and the dispute queue.

  3. 03

    How does payment data analytics fit alongside the merchant's own BI stack?

    Payment data analytics on topropay coexists with the merchant's own BI stack — CSV exports, REST API, signed webhooks and direct warehouse connectors (BigQuery, Snowflake, Redshift) let the merchant ingest the same normalised event stream into their own data layer for downstream joins (CRM, marketing, finance) the platform itself doesn't see.

  4. 04

    What's the state of analytics in payment industry generally compared with topropay's posture?

    Analytics in payment industry has historically been fragmented — one dashboard per gateway provider, per acquirer, per dispute portal. topropay's posture consolidates those into one dataset because the underlying orchestration already unifies the providers. The analytics layer benefits from the same panel-wide view the routing engine uses.

  5. 05

    Is there a dedicated payment gateway analytics view?

    Yes. Payment gateway analytics on topropay cuts the dataset by connected gateway provider — approval, cost, dispute, settlement-timing per provider, side-by-side. Routing-policy share per provider is surfaced in the same view so the policy outcomes are visible alongside the underlying performance.

  6. 06

    How customisable is the payment analytics dashboard?

    The payment analytics dashboard ships with default cuts (approval, cost, dispute, reconciliation, programme position) and lets the merchant build custom cuts on any field in the event stream — including custom tags the merchant ships on the authorisation. Saved cuts can be promoted to shared dashboards for the team.

  7. 07

    What's the size and shape of the payment analytics software market topropay sits inside?

    The payment analytics software market spans BI add-ons for individual gateways, multi-provider analytics suites and orchestration platforms with embedded analytics. topropay sits in the third bucket — analytics aren't a standalone product, they're a property of the orchestration layer the merchant is already using for routing and reconciliation.

  8. 08

    Is this useful as a business payment analytics tool for finance?

    Yes. Business payment analytics for finance teams surface effective cost (interchange-plus + scheme + markup) as a share of volume, settlement-timing accuracy per acquirer, fee-row coverage, unreconciled aging, and dispute-related write-downs. The dataset can feed straight into the finance team's close cadence.

  9. 09

    What does the payment analytics solution look like for a PSP?

    The payment analytics solution for a PSP includes per-downstream-merchant cuts, portfolio rollups (volume, approval, cost, dispute), and row-level access controls. PSPs configure independent dashboards per merchant group; their downstream merchants can be granted scoped access to their own slice of the data.

  10. 10

    How does data analytics payment processing differ from generic web analytics?

    Data analytics payment processing is event-driven and authoritatively settled — every row is a real transaction with a real settlement file behind it. Generic web analytics is sampled and behavioural. Joining the two (e.g. checkout-to-paid funnel) is supported via the merchant's BI stack on top of the platform's normalised event export.

  11. 11

    Which payment analytics companies does topropay compete with?

    Payment analytics companies range from standalone analytics products plugged into a single gateway to orchestration platforms with native analytics. topropay's positioning is the latter — the analytics dataset is a property of the connected provider panel that already drives routing and reconciliation, not a separate point product.

  12. 12

    Are these the same payment analytics solutions used by enterprise merchants?

    Yes. Payment analytics solutions on topropay are the same for SMB and enterprise merchants — what changes is the dashboard defaults and the row-level access posture. Enterprise tenants typically run multi-region dashboards with more granular role-based access; SMB tenants use the default single-tenant dashboard.

  13. 13

    Is ecommerce payment analytics surfaced differently from B2B or recurring billing analytics?

    Ecommerce payment analytics, B2B billing analytics and recurring-billing analytics share the same underlying dataset but ship with different default dashboard templates — checkout-conversion cuts for ecommerce, payment-terms-aging cuts for B2B, MRR / churn-driver cuts for recurring billing. Merchants can run multiple templates on the same merchant record.

  14. 14

    Is this delivered as a payment analytics platform or as a feature?

    Both framings apply. As a feature, it sits inside the orchestration platform alongside the routing-policy editor, the dispute queue and the reconciliation feed. As a payment analytics platform, it carries its own API, warehouse connectors and role-based access; the same dataset can be the platform of record for the merchant's payment-data analytics function.

  15. 15

    How does payment analytics and reporting cover compliance reporting?

    Payment analytics and reporting on topropay supports scheme-programme reporting (VDMP / VAMP / VFMP / ECP / EFMP position per acquirer), SAR-adjacent volume reports for regulated merchants, and PCI-relevant access logs. Custom report templates can be saved for recurring regulatory cadences.

Related

Related on the topropay platform