Connect Shopify with Zeotap, a privacy-focused CDP, to unify first-party data, resolve identities, and activate consent-aware audiences across paid media and Email.
• Shopify customer, order, product, and event data is ingested into Zeotap via API or batch exports, with incremental syncs sending only new or changed records.
• Customer identifiers (email, phone, customer ID) are mapped to Zeotap identity graphs, and hashed/pseudonymized values are handled for matching where applicable.
• Consent and marketing permissions from Shopify (and connected consent tools, when present) are mapped to Zeotap consent states and applied during audience building.
• Behavioral signals such as purchases, refunds, and cart activity are normalized into event schemas, with timestamps and currency stored for attribution and segmentation.
• Audience definitions are evaluated in Zeotap and exported to connected activation destinations; membership updates are propagated as deltas on a schedule or near real time.
• Data validation, error handling, and sync logs capture rejected records, schema mismatches, and API failures for troubleshooting and replay.
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We map Shopify customers, orders, products, and onsite events into Zeotap, then validate identity resolution and profile stitching. The result is a single, consent-aware view you can use for segmentation and activation.
Most setups include customer records, order history, product interactions, refunds, and key site events. We also align identifiers and consent signals so Zeotap can build accurate, compliant audiences.
Yes, audiences can be created from Shopify behavior and exported for activation, while respecting consent rules captured in your stack. We make sure the same audience definition carries across channels to reduce mismatch in reporting.
We implement consent-aware collection and audience eligibility rules, then QA data flows end to end. This keeps activation tied to permissioned first-party data, not risky exports.
Yes, we can unify multiple storefronts into one Zeotap identity graph or keep markets separated when needed. This helps global teams share definitions while staying compliant locally.









