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How do ticketing systems integrate with CRM, ERP and finance software?

Ticketing systems integrate with CRM, ERP and finance software by sharing well-defined records and business events, with explicit rules about which system owns each field. A single integration rarely serves all three purposes: customer engagement, financial accounting and operational booking have different data needs.

What should each system own?

SystemTypical responsibilityMain integration concern
TicketingEvents, bookings, reservations, tickets and admissionsKeep transaction state authoritative
CRMRelationships, segmentation and consent recordsAvoid duplicate customers and misuse of consent
ERP/financeLedgers, tax, settlements and liabilitiesMap fees, refunds, taxes and payment timing
Data warehouseCross-system analysisMaintain consistent IDs and event history

Ownership varies by organisation. A membership-led venue may keep the primary contact profile in CRM while ticketing holds purchase and entitlement records. Document the actual direction of updates before development.

A ticketing purchaser may also be a member, donor or corporate contact. Use stable identifiers and an intentional matching policy. Email alone is not always a safe unique key. Marketing consent should retain its source, timestamp, scope and withdrawal route; buying a ticket does not automatically authorise every downstream use of personal data.

How should payments and revenue be integrated?

Distinguish an order from payment authorisation, settlement, payout and recognised revenue. A £100 customer order may include ticket face value, taxes, booking fees, refunds and amounts owed to third parties. Finance mapping needs those components separately and should not assume order date equals cash receipt or revenue recognition date.

What prevents fragile integrations?

Use a field-level data contract, idempotent updates, error queues and reconciliation totals. Test cancelled tickets, exchanged tickets, partial refunds, chargebacks, duplicate customers and late settlement files. The output should be operationally explainable: if reporting and the ledger disagree, teams need a record of exactly which state transition or mapping caused the difference.

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