Side-by-side comparison of AI visibility scores, market position, and capabilities
San Diego ecommerce analytics platform founded 2017; raised $12M+; consolidates DTC and omnichannel data into a warehouse-first model powering Looker, Tableau, and Power BI dashboards.
Daasity was founded in 2017 in San Diego, California and raised over $12M to build a data analytics platform for DTC and omnichannel brands that want consolidated business intelligence without building internal data engineering infrastructure. The company takes a data warehouse-first approach, integrating e-commerce, advertising, subscription, wholesale, and retail data into a centralized data model that powers both Daasity's own analytics dashboards and feeds into business intelligence tools like Looker, Tableau, and Power BI.\n\nDaasity's pre-built data models and connectors are designed around the specific metrics that DTC operators care about: customer acquisition cost by channel, lifetime value by cohort and acquisition source, contribution margin by SKU and channel, subscription churn and retention, and wholesale versus DTC revenue mix. This DTC-specific data modeling dramatically reduces the time brands need to go from raw data to actionable analytics compared to building custom data models from scratch.\n\nDaasity serves omnichannel brands that sell through a combination of their own DTC website, Shopify, wholesale, Amazon, and retail, with the ability to model the economics of each channel consistently. The company competes against TripleWhale, Northbeam, and Polar Analytics in the DTC analytics space, differentiating through its omnichannel scope, data warehouse flexibility, and appeal to brands with analytics-literate teams that want more control over their data modeling than opinionated analytics dashboards allow.
NASDAQ: SFIX AI-powered personal styling service shipping curated clothing to 3.7M active clients; $2.1B FY2024 revenue with $87M adjusted EBITDA profitability competing with Amazon Personal Shopper for apparel subscription market.
Stitch Fix is a San Francisco-based online personal styling service — listed on NASDAQ (NASDAQ: SFIX) — using a combination of data science algorithms and human stylists to curate personalized clothing, accessories, and footwear selections shipped to subscribers in a 'Fix' (a box of 5 items) who try items at home and keep what they want, paying only for what they keep while returning the rest in prepaid packaging. Founded in 2011 by Katrina Lake and generating $2.1 billion in revenue in fiscal year 2024 with $87 million in adjusted EBITDA (the first full-year profitability milestone after pandemic-era losses), Stitch Fix serves 3.7 million active clients in the US and UK with a hybrid human-AI styling model that makes personalized fashion accessible without the time investment of traditional retail browsing.
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