Daasity

What Daasity is

Daasity is a web platform that brings eCommerce and retail sales, marketing and inventory data into one view for consumer brands. It provides customized reporting, analytics and customer targeting using first-party, site analytics and vendor data. Users can build dashboards around subscriber LTV, RFM and retail sell-through, receive reports by email, and send customer segments to Meta or Google for purchase-behavior targeting. Integrations include Shopify, BigCommerce, Amazon-related services, Snowflake, TikTok and retail sources; supported storefronts also include Shopify Plus, Shopify B2B, Magento and Salesforce Commerce Cloud. Data refreshes hourly, with marketing attribution, profitability reporting, customer cohorts and product margin tracking. Daasity says automation can reduce spreadsheet reliance and save dozens of hours monthly. Security measures include HTTPS transfer encryption, protected stored data, customer data separation and yearly third-party penetration tests. Pricing starts at $1,499/mo; all plans include a 30-day onboarding guarantee.

Who it suits

It suits consumer brands and teams in marketing, merchandising, operations, finance, growth, Amazon and retail that need combined commerce data. Its plans also address brands expanding across retail, DTC and digital channels.

Limits

The Starter Essentials plan costs $1,499 a month and provides self-service native Daasity connections, dashboards, and reports. The Syndicated Data + AI Analyst plan costs $499 a month and lists industry benchmarks and competitive context; other capabilities depend on the selected plan.

Getting started

1. Open the Daasity website
2. Choose a plan
3. Use the 30-day onboarding guarantee
4. Connect supported storefronts and data sources
5. Build dashboards and reports
6. Send customer segments to marketing channels

Verdict

Daasity centralizes commerce, marketing and inventory analysis with dashboards, activation and reporting tools. Its integrations and services support brands managing multiple storefront and retail data sources.