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Daasity is a technology company.
Daasity provides an omnichannel analytics platform tailored for consumer brands, offering comprehensive data architecture, analytics, and reporting capabilities. The platform integrates disparate data sources, enabling brands to centralize and derive actionable insights from their sales across e-commerce, Amazon, retail, and wholesale channels. Its core functionality focuses on supporting the complex and evolving data needs of direct-to-consumer businesses.
The company was co-founded by Dan LeBlanc and Sean Corson, who identified a critical gap in the market for specialized data solutions within the consumer brand sector. Their insight stemmed from the understanding that traditional analytics tools often fell short in addressing the unique and multifaceted data challenges faced by brands operating across various sales touchpoints, necessitating a dedicated, integrated platform.
Daasity serves a diverse base of consumer product brands aiming to optimize their performance through data-driven decisions. The company's vision centers on empowering these brands by transforming raw data into strategic intelligence, ultimately allowing them to better understand their customers and operations. It looks to continuously evolve its offerings to meet the dynamic demands of the consumer market.
Daasity has raised $22.7M across 4 funding rounds.
Daasity has raised $22.7M in total across 4 funding rounds.
Daasity is an eCommerce analytics platform that unifies data from sales channels, marketing platforms, and inventory systems for consumer product brands, enabling data-driven decisions to optimize revenue, marketing, and inventory.[2][5] It serves DTC, Amazon, retail, and omnichannel brands by centralizing disparate data sources—like Shopify, Amazon, Meta, Google, and syndicated retail data—into customizable dashboards, automated reports, and AI-powered insights, solving problems of siloed data, manual spreadsheet work, and misaligned marketing-inventory strategies.[1][3][4] With over 1,500 brands using it and processing more than $10 billion in sales data in 2024 alone, Daasity drives growth through metrics like LTV, ROAS, CPA, RFM segmentation, and real-time KPIs, supporting teams in marketing, sales, inventory, and even investor reporting.[1][2][4]
Founded in 2017 by industry leaders in the consumer products space, Daasity emerged to address the gap where brands lacked accessible, tailored data tools for eCommerce success, regardless of size.[5] The founders recognized that gut decisions and scattered insights hindered growth, particularly for brands juggling DTC, Amazon, retail, and wholesale channels, leading to the creation of the first eCommerce analytics platform built exclusively for consumer product brands.[2][5] Early traction came from solving real pains like unifying marketing (Facebook, Google) and sales (Shopify, Amazon) data, with pivotal expansions including integrations for perishable goods forecasting, retail storytelling via syndicated data, and partnerships like Attentive for customer segmentation.[1][2] Since inception, it has evolved from basic data centralization to advanced features like AI prescriptive analytics and enterprise-scale support for multibillion-dollar brands.[2][6]
Daasity rides the wave of omnichannel eCommerce growth and first-party data sovereignty amid cookie deprecation, empowering consumer brands to harness unified analytics for retail expansion, demand forecasting, and personalized marketing in a fragmented ecosystem.[1][2][4] Timing is ideal as brands face stock-outs, unpredictable retail performance, and marketing waste—Daasity's 2017 launch predates the 2024 surge in AI analytics and syndicated data needs, processing $10B+ in sales to provide visibility into competitors, categories, and LTV that builds distributor trust and secures shelf space.[2][5] Market forces like rising ad costs, inventory misalignment, and the shift to data-driven retail stories favor it, while integrations with Snowflake, Attentive, and Shipbob amplify its ecosystem role, helping hundreds of brands standardize metrics and influence peers toward scalable, AI-enhanced decision-making.[1][5][6]
Daasity is poised to expand its AI shift from descriptive dashboards to prescriptive "AI analysts" that forecast trends and automate actions, deepening integrations for subscriptions, enterprise retail (e.g., Whole Foods), and emerging channels amid rising omnichannel complexity.[6] Trends like AI-driven personalization, real-time inventory AI, and investor-grade reporting will shape its path, potentially capturing more of the $500B+ consumer brands market as data privacy regulations push first-party analytics. Its influence may evolve from a DTC enabler to a full-stack revenue operations hub, solidifying its edge for brands maximizing every data point—just as it started by unifying silos to fuel profitable growth.[2][4][5]
Daasity has raised $22.7M in total across 4 funding rounds.
Daasity's investors include Brooke Kiley, 1855 Capital, Cove Fund, Exeter Capital, Mooring Ventures, Okapi Venture Capital, Serra Ventures, Centre Street Partners, Jeff Bocan.
Daasity has raised $22.7M across 4 funding rounds. Most recently, it raised $15.0M Series A in January 2022.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jan 14, 2022 | $15.0M Series A | Brooke Kiley | 1855 Capital, Cove Fund, Exeter Capital, Mooring Ventures, Okapi Venture Capital, Serra Ventures |
| Mar 26, 2021 | $3.4M Seed | Brooke Kiley | 1855 Capital, Centre Street Partners, Cove Fund, Exeter Capital, Mooring Ventures, Okapi Venture Capital, Serra Ventures |
| Nov 6, 2019 | $2.3M Other Equity | Jeff Bocan | 1855 Capital, Cove Fund, Mooring Ventures, Serra Ventures |
| Nov 1, 2019 | $2.0M Seed |