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Daasity

Daasity is a data warehouse and BI platform for DTC brands, integrating multi-channel data into a unified analytics view.

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Why sellers use it

Daasity is a data warehouse and BI platform for DTC brands, integrating multi-channel data into a unified analytics view.

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About Daasity

Daasity is a managed data warehouse and BI platform purpose-built for DTC (direct-to-consumer) consumer brands. It extracts data from e-commerce, advertising, email/SMS, subscription, fulfillment, returns and retail-partner sources, loads it into a managed warehouse (Snowflake by default, BigQuery or Redshift available), transforms it into pre-built analytics models, and surfaces it through 130+ dashboards. The pitch: "don't make your analyst rebuild the same DTC schema everyone has" — Daasity ships the schema and the pipeline so brands get actionable insights without hiring a data engineering team.

Pricing

Plans from about $0 (confirm on the official pricing page).

Key features

  • Omnichannel data unification:: 80+ purpose-built integrations across e-commerce (Shopify, Shopify Plus, BigCommerce, Magento, Amazon, Walmart Marketplace, Salesforce Commerce Cloud), ads (Meta, Google
  • Managed ELT+ infrastructure:: extractor layer replicates source data, transformation builds unified models (cohorts, LTV, blended ROAS, channel mix); Daasity maintains connectors when APIs change — yo
  • 130+ pre-built dashboards:: marketing performance, customer LTV, cohort analysis, product analytics, inventory, subscription metrics, financial P&L, RFM segmentation, subscriber-only LTV, retail sell-
  • Retail & wholesale analytics:: ingests syndicated data from Nielsen and SPINS, plus CSV uploads; URMS pricing analysis, promotion tracking and shelf-space performance for buyer-meeting narratives.
  • Customer segmentation & activation (reverse ETL):: build segments from purchase behavior, LTV, RFM and product affinity, then push them to Klaviyo, Attentive, Braze, Meta custom audiences and Google A

Pros & cons

Pros

  • : 80+ purpose-built integrations across e-commerce (Shopify, Shopify Plus, BigCommerce, Magento, Amazon, Walmart Marketp
  • : extractor layer replicates source data, transformation builds unified models (cohorts, LTV, blended ROAS, channel mix)
  • : marketing performance, customer LTV, cohort analysis, product analytics, inventory, subscription metrics, financial P&

Cons

  • Confirm plan limits and feature gates on the official pricing page
  • Best results usually need correct setup and ongoing optimization

Daasity FAQ

How is Daasity different from Triple Whale or Northbeam?
Those focus on marketing attribution; Daasity is a full omnichannel data platform — it unifies DTC, Amazon, retail and wholesale data in a managed warehouse, which is broader and includes retail-partner data via Nielsen/SPINS.

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