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Brief
Daasity

Daasity

E-commerce Analytics and Business Intelligencedaasity.com

Daasity enables DTC brands to centralize, standardize, and analyze data from all their business systems to drive better marketing decisions, improve operational efficiency, and accelerate growth through actionable insights.

Last updated Jun 23, 2026

Founded
2016
HQ
Austin, Texas, United States
Connections
14

At a glance

Employees
51-200
Funding
$33M
14integrations

About

Leading specialized data platform for DTC e-commerce brands

Daasity is a specialized data analytics and business intelligence platform built specifically for direct-to-consumer (DTC) e-commerce brands. The company provides a comprehensive solution that centralizes data from multiple sources including e-commerce platforms, marketing channels, fulfillment systems, and customer service tools, enabling brands to create unified views of their business performance. Daasity's platform is designed to address the unique challenges faced by DTC brands in managing fragmented data across numerous tools and platforms. In the AdTech and MarTech ecosystem, Daasity occupies a strategic position as a data infrastructure and analytics layer that helps e-commerce brands optimize their marketing spend, understand customer lifetime value, and make data-driven decisions across their operations. The platform serves as a critical bridge between raw data and actionable insights, offering pre-built data models, custom reporting capabilities, and integrations with popular e-commerce and marketing platforms. Daasity has established itself as a trusted solution for growing DTC brands that need enterprise-grade analytics without the complexity and cost of building custom data warehouses.

Business model

SaaS

Target market

Mid-Market and Enterprise DTC brands

What they offer

  • Data Integration Hub

    Centralizes data from e-commerce platforms, marketing tools, fulfillment systems, and other business applications into a unified data warehouse

  • Pre-built Data Models

    Industry-specific data models designed for DTC brands covering customer analytics, product performance, and marketing attribution

  • Custom Reporting & Dashboards

    Flexible reporting tools and customizable dashboards for visualizing key business metrics and KPIs

  • Marketing Attribution

    Multi-touch attribution modeling to understand the true impact of marketing channels and campaigns

  • Customer Analytics

    Deep customer segmentation, cohort analysis, and lifetime value calculations

Key features

Automated data pipeline from 100+ integrationsPre-built DTC-specific data modelsCustom SQL query capabilitiesReal-time data synchronizationCustomer lifetime value (LTV) analyticsMarketing attribution modelingCohort and retention analysisProduct performance analyticsInventory and fulfillment reportingBI tool integrations (Looker, Tableau, etc.)

Use cases

Centralizing data from multiple e-commerce platforms and sales channelsCalculating accurate customer lifetime value and cohort performanceOptimizing marketing spend through multi-touch attributionAnalyzing product performance and inventory trendsCreating executive dashboards for business performance monitoringSegmenting customers for targeted marketing campaignsForecasting revenue and inventory needsMeasuring subscription retention and churn

Customer segments

Direct-to-consumer e-commerce brandsSubscription commerce companiesMulti-channel retail brandsConsumer packaged goods (CPG) brandsFashion and apparel brandsHealth and wellness brandsBeauty and cosmetics brands

Tech & specs

Technology stack

Cloud data warehouses (Snowflake, BigQuery)ETL/ELT data pipelinesSQL-based analyticsAPI integrationsBusiness intelligence tools

Security & compliance

SOC 2 Type IIGDPRCCPA

Deployment

Cloud

API

Yes

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