Automated Marketing Data Connectors · MarTech Vendor
Daasity
Omnichannel commerce analytics and data unification for consumer brands.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Daasity, Inc.
- Entity type
- COMPANY
- Founded
- 2017
- Headquarters
- 4660 La Jolla Village Dr, San Diego, California
- Company size
- 50–200
- Market cluster / sector
- Automated Marketing Data Connectors
- Market role
- MarTech Vendor
- Official website
- daasity.com
What Daasity does
Daasity operates a vertical B2B SaaS model centred on commerce analytics infrastructure. It creates value by connecting fragmented ecommerce, retail, marketing and inventory data sources, normalising them into a common model, and delivering analytics, attribution and activation workflows that help brands monitor performance and make operational decisions. The company extends this software model with professional services for implementation, ELT support, custom dashboards and data strategy, which can increase adoption and retention.
Category differentiation
Daasity is not a consumer brand or retail marketplace; it is a B2B analytics and data platform for commerce businesses. It is also not a foundational cloud warehouse vendor, but a commerce-specific ELT, analytics and activation layer that sits across multiple systems.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Daasity is a B2B commerce data and analytics software company serving consumer brands, merchants and related marketing or analytics teams. Its platform ingests and standardises data from ecommerce, retail, marketing and inventory systems, then provides unified dashboards, attribution, operational reporting and audience activation. The company positions its software as an end-to-end ELT and analytics layer for omnichannel commerce businesses that do not want to build large internal data engineering teams. Daasity makes money primarily from recurring software subscriptions for its platform, with additional revenue from managed analytics, data engineering and strategic advisory services. Its customers are principally direct-to-consumer and omnichannel brands, Shopify merchants, ecommerce operators, CRM teams and growth teams that need consolidated commerce reporting and customer segmentation across multiple systems.
Business model & monetisation
Daasity primarily monetises through recurring SaaS subscriptions for its analytics and data platform, likely tiered by functionality, data volume and business scale. It also generates services revenue from onboarding, custom analytics work, managed ELT, dashboard development and strategic consulting. Distribution through the Shopify App Store suggests an additional partner-led acquisition path for subscription customers.
- Platform subscriptions
- Software Subscription
- Managed analytics and ELT services
- Service Fee
- Implementation and onboarding support
- Service Fee
- Shopify app-based subscription distribution
- Software Subscription
Products & capabilities
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Competitors & alternatives
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Retail and marketing analytics SaaS for optimisation and decision support.
Commerce software for marketplace, fulfilment and retail media operations.
Shopify customer segmentation and cohort analytics for revenue growth.
E-commerce analytics SaaS for retailers and online brands.
B2B SaaS platform for customer data and analytics.
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Recent recorded signals
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Questions about Daasity
What is Daasity?
Daasity is a B2B commerce analytics platform that unifies ecommerce, retail, marketing and inventory data for consumer brands and merchants.
Who uses Daasity?
Its users are typically direct-to-consumer and omnichannel brands, Shopify merchants, and internal marketing, CRM, growth and analytics teams.
How does Daasity make money?
It earns revenue mainly from recurring software subscriptions and also from services such as managed ELT, analytics support and strategic consulting.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
21 publicly documented primary sources and citations linked across the market graph.
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