Infor CloudSuite and Marketo integration

What moves between them

The main flow runs in both directions. New or updated customers from Infor CloudSuite are mapped to Marketo companies and the primary contact person becomes a lead; supplier records map to companies as well so your marketing team can track vendor relationships. Contact data such as phone, email, and address fields sync back and forth so changes made in either system propagate. Lead activity in Marketo such as email opens and form fills are logged in Infor CloudSuite as custom fields for sales and operations to reference. The sync runs on a schedule you control, typically daily or after business hours.

How ml-connector handles it

ml-connector extracts the tenant-specific base URL and OAuth endpoints from Infor CloudSuite credentials and refreshes the bearer token as needed. On the Marketo side, it polls the /leadchanges endpoint with paging tokens to capture all lead updates and companies since the last run, respecting Marketo's 300-record batch limit. It maps Infor customer and supplier records by matching company names or using custom external IDs, creates new companies in Marketo where no match is found, and updates existing records with refreshed contact and attribute data. Phone, email, address, and custom fields are transformed to match Marketo's field model. Failed sync jobs are tracked with full context so they can be replayed without duplicating records.

A real-world example

A mid-market industrial distributor uses Infor CloudSuite M3 to manage procurement and inventory, and Marketo to run demand-generation campaigns for their key accounts. Before the integration, the marketing team manually exported customer lists from Infor CloudSuite and imported them into Marketo every month, losing recent contact updates and company attribute changes. The sales team in Marketo had no visibility into whether a prospect was an existing customer or supplier. With Infor CloudSuite and Marketo connected, customer and supplier master records flow automatically into Marketo as companies, sales sees which leads are already customers or vendors, and marketing campaigns can segment by customer status and industry attributes from Infor CloudSuite without manual re-entry. Account executives use Marketo's lead activity to prioritize follow-ups, knowing which prospects have engaged with campaigns.

What you can do

• •Sync Infor CloudSuite customers to Marketo companies with contact persons as leads, updated on a schedule you define.
• •Map Infor CloudSuite suppliers to Marketo companies so marketing and sales see your full vendor ecosystem.
• •Transform and sync contact fields such as phone, email, address, and company attributes between both systems bidirectionally.
• •Authenticate Infor CloudSuite with OAuth2 and tenant-specific base URLs, and Marketo with client credentials and Munchkin ID.
• •Maintain a full audit trail and replay failed syncs so no records are lost and duplicates are prevented.

Questions

Which direction does data flow between Infor CloudSuite and Marketo?

The sync is bidirectional. Infor CloudSuite customers and suppliers become Marketo companies with contact persons as leads. Contact and company attributes update in both directions. Marketo lead activity and engagement data can be logged back to Infor CloudSuite as custom fields for sales and operations context.

Does the integration handle Infor CloudSuite's tenant-specific base URLs?

Yes. Infor CloudSuite does not publish a shared API hostname; each customer has a unique base URL and tenant ID extracted from the .ionapi credentials file. ml-connector accepts the full credentials and constructs the OAuth token endpoint and API base URL per tenant, so each customer's sync is fully isolated.

How does the integration work without webhooks from either system?

Both Infor CloudSuite and Marketo are polling-only systems. ml-connector queries Infor CloudSuite for customers and suppliers modified since the last sync, and polls Marketo's /leadchanges endpoint with paging tokens to capture all lead updates. The sync runs on a schedule you define, typically daily, so changes in either system are captured on each run.