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Data Sync

Update once. Keep connected work moving.

Move customer and order data between ONE LOOP and your other software. A configured connection keeps supported information up to date without constant copying.

Here’s what you can do.

Three examples show how you can use Data Sync.

01

New contacts in your address book

After an enquiry, a configured workflow can find the contact in your connected address book and create it if needed. Later form submissions can update an existing entry deliberately.

An example website enquiry is matched to an address-book entry through a configured workflow.
Simplified product example · not a live product view
02

See orders alongside the customer

A supported shop connection brings new orders and related customer data into ONE LOOP. Your team can review purchase activity without looking up every order in the shop.

A paid example order moves from the shop to the matched contact's CRM order view.
Simplified product example · not a live product view
03

Keep company details current

A suitable connection can update an existing company record using new information from your other software. We define which company and which fields may be changed.

A configured connection writes the Architecture industry to an existing example company record.
Simplified product example · not a live product view

What this changes for your day-to-day work.

The practical benefits of Data Sync.

Find the right contact

A lookup can check the email address before creating or updating a record. Matching is tested against your data.

A search for the example email shows that an existing contact has been found.

Put details in the right field

For a custom connection, we define which information goes where. Prebuilt integrations may have fixed field rules.

The source Industry field maps to the company Industry field with the example value Architecture.

Find contacts more easily

A connected address-book workflow can add contacts to a suitable group, for example after a consultation booking. That makes them easier to find again.

A consultation booking leads to the example contact joining the Consultations address-book group.

You control the access

Each connection needs suitable account permissions. We review the requested access and connect only the systems your process needs.

A connection shows requested read and edit permissions for contacts before authorisation.

Keep failed transfers in view

For configured workflows, execution history shows which steps worked. Errors can be investigated instead of leaving missing data unnoticed.

The example execution history shows a found contact followed by a failed update.

Simplified examples, not live account data.

What you need to get started.

We check the systems, permissions and supported data, then agree the direction, matching and error handling. Custom connections may require additional setup, external plans and ongoing maintenance.

Import and sync remain separate: import brings over existing records, while the configured sync processes later changes. Messages or other follow-up actions require separately defined workflows.

Availability and any add-on or usage costs are confirmed for your ONE LOOP account before implementation.

Your questions, answered.

Is this the same as importing a CSV?

No. A CSV import transfers a selected snapshot. Syncing then processes supported changes through a configured connection. Both can be useful, but they are different operations.

Do all changes sync in both directions?

No. Direction, data types and editable fields depend on the connection. A shop might send orders to ONE LOOP without accepting changes back. Deletions are not automatically propagated either.

How quickly do new data arrive?

That depends on the trigger and connection. Some changes are sent as events; others are checked at intervals. We test the actual process rather than promising instant updates everywhere.

What happens to existing or conflicting values?

We establish the behaviour of the specific connection before starting. Some integrations only fill empty contact fields; others can replace selected values. Reliable matching and test cases cannot prevent every error, but make the rules verifiable before use.

See it with your own use case.

Let’s explore your use case and what the setup requires.

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