For brands wanting to get Shopify customer data into a data warehouse, Segment + Littledata can be a good alternative to an Extract, Load and Transform (ELT) tool like Fivetran.
As order events stream into Segment from Littledata's Shopify source, the customer and orders tables in your warehouse will be kept in sync with Shopify.
On a Business plan, Segment offers hourly warehouse sync.
Littledata can import all the historic orders from Shopify into Segment. This also updates the customer records in Segment.
In your warehouse you will have two tables - customers and orders - and from there you can infer exactly which products were brought and when.
The customer table will have traits as the columns and orders will have order event properties as the columns.
For brands on an annual Plus plan, Littledata can set up an order import from Shopify to Segment, typically taking a few days to transfer.
Once the historic orders are in sync, our server connection with Shopify will stream them in realtime into Segment.
Fivetran will extract the raw order and customer tables from Shopify but with native values from Shopify’s API.
Littledata transforms into Segment Ecommerce schema which is more usable, including unnesting fields.
Here's a quick comparison:
Sync frequency
Daily (or less frequent)
Real-time and hourly sync (with Segment Business)
Data schema
Native Shopify API fields
Segment Ecommerce schema (unnested, analytics-ready)
Historic data import
Yes, but raw format
Yes, with enrichment and mapping to Segment schema
Event enrichment
No
Yes, with ecommerce context and calculated traits
Attribution tracking
No
Built-in multi-touch attribution via Segment
Identity resolution
No
Yes, via Segment Personas
Maintenance
User responsible for connector updates
Managed, auto-updates for ecommerce changes
View our Segment tracking plan & event schema
Get started with the connection on your store
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