Oracle Fusion Cloud ERP and Marketo integration

What moves between them

The main data flow is bidirectional. Marketo leads and companies flow into Oracle Fusion as customers and prospects on a schedule you set, typically daily. Marketo opportunities are pulled and mapped to Oracle receivables orders so pipeline stages align with order creation and invoicing milestones. Oracle payment records are read on a schedule tied to your collections cycle and flow back into Marketo as activities or custom objects to mark opportunities as won and update company revenue status. Reference data such as sales territories and customer categories is aligned in both directions.

How ml-connector handles it

ml-connector stores OAuth2 credentials for both systems encrypted and refreshes bearer tokens before expiry on each sync. Since both systems are pull-only with no webhooks, ml-connector polls Oracle Fusion and Marketo on a schedule you control, typically daily for customer sync and weekly for opportunity closure tracking. On the Marketo side, it uses the leadchanges API with paging tokens to capture only new and updated leads since the last sync, avoiding duplicate processing. On the Oracle side, it filters by LastUpdateDate and CreationDate to find new customers and payments. Opportunities in Marketo become receivables orders in Oracle using the opportunity owner as the sales rep and the opportunity close date as the order due date, and company names are matched against existing Oracle customers using fuzzy matching to find or create customer records. Payment confirmations from Oracle flow back as completed activities in Marketo to mark opportunities as won. Every record carries a full audit trail and can be replayed if a downstream call fails. Custom fields on both sides are preserved across syncs.

A real-world example

A B2B SaaS company uses Marketo to nurture leads and track sales opportunities, and Oracle Fusion Cloud ERP to manage customer orders, invoicing, and cash collections. Before the integration, sales reps tracked opportunities in Marketo and closed deals with paper workflows or email; accounting created customer records in Oracle manually and had no way to track which orders corresponded to which opportunities. Cash collection was delayed because there was no visibility into whether an invoice corresponded to an open opportunity or a closed deal. With Marketo and Oracle Fusion connected, each new Marketo opportunity automatically creates a receivables order in Oracle tagged to the correct customer, sales reps see the order and invoice status directly tied to their opportunity, and when an invoice is paid, the opportunity is marked closed in Marketo with the actual close date and revenue. Month-end close is faster because open opportunities can be reconciled against open receivables orders, and the manual customer record creation step is eliminated.

What you can do

• •Sync Marketo leads and companies into Oracle Fusion as customers and prospects on a schedule you control.
• •Map Marketo opportunities to Oracle receivables orders with owner and close date alignment.
• •Flow Oracle payment confirmations back to Marketo as completed activities to mark opportunities won.
• •Authenticate both systems with OAuth2 bearer tokens and refresh tokens before expiry on every sync.
• •Preserve custom fields on leads, companies, and opportunities across bidirectional syncs with a full audit trail.

Questions

Which direction does data move between Marketo and Oracle Fusion?

Data flows bidirectionally. Marketo leads and companies flow into Oracle as customers and prospects. Marketo opportunities are mapped to Oracle receivables orders. Oracle payment records flow back to Marketo as activities to mark opportunities closed. Reference data such as customer categories is aligned in both directions.

How does the integration handle the lack of webhooks in both systems?

Both Marketo and Oracle Fusion are pull-only systems with no native webhooks for external connectors. ml-connector polls each system on a schedule you set, typically daily for customer sync and weekly for payment and opportunity closure tracking. On the Marketo side, it uses the leadchanges API with paging tokens to capture only new and updated records since the last sync.

What happens when an opportunity in Marketo maps to multiple customers in Oracle, or a company name is ambiguous?

ml-connector uses fuzzy matching on company names to find the best existing customer record in Oracle and avoids creating duplicates. If no match is found, a new customer is created with a flag for manual review. Opportunity-to-order mapping uses the opportunity owner and close date; if the owner cannot be mapped to an Oracle sales rep, the record is flagged for manual assignment before the order is created.