Tracking Plans and Event Schemas

Updated on 2024-03-01

Littledata automatically integrates with Shopify and BigCommerce sites to capture granular data about customer touchpoints across the user journey, including sales, marketing, customer and product performance data. Our data layer uses detailed, predefined tracking schemas to ensure accurate data in multiple destinations.

Here are some of the benefits of a predefined tracking schema:

  • Works automatically to ensure consistent data in multiple destinations
  • Useful for companies with multiple brands/stores to have a mirrored set of events between them which helps with easier cross-store analysis, as well as simplifying the tracking maintenance across all stores
  • Ideal for custom audience building across platforms

Google Analytics 4 Schema

Littledata's Shopify to Google Analytics 4 connection uses a combination of client-side (browser) and server-side tracking to ensure 100% accurate data about your Shopify store in Google Analytics 4.

For complete property and event details please view our complete Google Analytics 4 tracking schema alongside parameter details.

GA4 schema for Shopify

View the GA4 schema >>>

Segment Schema

Littledata's Shopify to Segment connection is the approved source for Shopify stores using Segment as their data integration tool. Common data destinations from Segment include Snowflake, Mixpanel, Amplitude, Braze, Iterable and Klaviyo.

Our Segment connection is fully compliant with the latest version of Segment's ecommerce spec. See the Segment tracking plan & event schema for more details, including a complete list of events, properties, reusable props, and user traits included in identify calls.

Segment Shopify schema

View the Segment schema >>>

BigCommerce Schema

Littledata's BigCommerce to Google Analytics connection uses server-side tracking to improve marketing attribution and capture more granular data about shopping behavior on your site. This connection tracks complete Enhanced Ecommerce events, including product list views and clicks, adds-to-cart, checkout steps, orders and refunds.

Google Analytics 4 tracking schema for BigCommece stores.

For complete property and event details, check out Littledata's schemas for the GA4 connection.

Facebook Conversions API Schema

Littledata’s Shopify to Facebook Conversions API connection uses a combination of client-side and server-side tracking to increase event match quality and Facebook Pixel attribution. This is a way to improve retargeting and audience building across the Meta network, including Facebook Ads and Instagram Ads.

For a complete list of events, triggers and parameters enabled by Littledata, see our Facebook CAPI Tracking Schema.

Facebook CAPI tracking schema for Shopify and BigCommerce

View the Facebook Conversions API schema >>>

Klaviyo Schema

Littledata’s Klaviyo connection uses a combination of identity resolution and server-side tracking to increase the number of identified profiles and events sent to Klaviyo. This is a way to build larger audiences and better targeted campaigns.

For a complete list of events, triggers, and parameters enabled by Littledata, see our Klaviyo Tracking Schema

Klaviyo tracking schema for Shopify and Klaviyo

View the Klaviyo schema >>>

TikTok Schema

Littledata’s Shopify to TikTok connection improves data quality, match rates, and ROAS in TikTok Ads and audiences. The plug-and-play connection includes TikTok Pixel with server-side event tracking. 

For a complete list of events, triggers, and parameters enabled by Littledata, see our TikTok Tracking schema

View the TikTok schema >>>

Pinterest Schema

Littledata’s Shopify to Pinterest connection enhances your Pinterest Ads tracking for better retargeting and audience building, ensuring consistent tracking across your tech stack.

For a complete list of events, triggers, and parameters enabled by Littledata, see our Pinterest Tracking schema.

View the Pinterest schema >>>

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