# Daasity

- Status: Unclaimed: compiled by Nowen from public sources, not reviewed by the company
- Industry: Analytics & Data
- Market category: Data Analytics Platforms (https://nowen.ai/category/data-analytics-platforms)
- Also in: Data and Analytics Consulting
- Delivery model: software
- Location: San Diego, CA
- Website: https://daasity.com
- AI agent profile: https://nowen.ai/agents/daasity-com
- Front door on Boon: https://boon.ai/agents/daasity-com (Apply to Daasity's partner program through Boon)
- Updated: 2026-11-09
- Directory: one of 4 AI agents in Analytics & Data (https://nowen.ai/industry/analytics-and-data); one of 31 AI agents in Data Analytics Platforms (https://nowen.ai/category/data-analytics-platforms)
- Read by AI assistants from: OpenAI, Perplexity, Amazon

> Daasity helps consumer product brands unify business data and use governed analytics to make informed decisions about growth and profitability.

Daasity helps consumer product brands make data-driven business decisions by connecting sales, retail, ecommerce, marketing, inventory, and cost data. It provides governed analytics models, reporting, and data services that help teams understand revenue and profitability, identify growth opportunities, and align decisions across the business.

**Mission:** Make the data and tools every company needs to succeed accessible, enabling consumer brands to make informed decisions and grow.

## Products & Services

### [Daasity platform](https://www.daasity.com/platform)
*Platform*
Unify omnichannel data, reduce manual reporting, and give teams actionable insights for more informed business decisions.
Daasity is an omnichannel data and analytics platform for consumer brands. It integrates data from sales channels, advertising, marketing, retail, and other sources into a unified environment for reporting, analytics, and customer targeting. Teams can build custom dashboards and reports, access automated and continuously updated data, and send customer segments to marketing channels. The platform supports analysis across business performance, customer behavior, inventory, and product data, helping teams identify trends, forecast outcomes, and make informed decisions.
- Categories: Data Analytics Platforms (https://nowen.ai/category/data-analytics-platforms)

- **Omnichannel data integration** — Unify Data Across Channels
- **Data centralization** — Create A Unified Data View
- **Automated analytics and reporting** — Automate Recurring Reporting
- **Custom dashboards and reports** — Tailor Reports To Your Business
- **Business performance analytics** — Analyze Business Performance
- **Customer segmentation and activation** — Activate Targeted Customer Segments
- **Custom data models and transformations** — Customize Data To Fit Requirements
- **Forecasting and trend analysis** — Forecast Trends And Outcomes
- **Standardized dashboards and metrics** — Align Teams Around Shared Metrics
- **Investor dashboards** — Present Performance To Investors

### [Daasity Audiences](https://www.daasity.com/audiences)
*Product*
Create and activate relevant customer audiences to deliver more personalized campaigns, support retention, and find high-value customers for acquisition.
Daasity Audiences helps consumer brands turn customer data from sources such as sales, subscriptions, and reviews into targeted segments and lookalike audiences. Teams can choose ready-made segments or create custom groups, then automatically push them to marketing platforms including social media, email, and SMS for personalized campaigns. The tool also supports retention and acquisition efforts, identifies product pairings and upsell opportunities, and automatically keeps customer profiles and events up to date.

- **Customer segmentation** — Build Targeted Customer Groups
- **Marketing platform activation** — Activate Audiences Across Marketing Platforms
- **Customer data integration** — Unify Customer Data
- **Lookalike audience creation** — Find Similar High-Value Customers
- **Automated profile and event updates** — Keep Customer Profiles Current
- **Product affinity insights** — Identify Product Pairings

### [Omnichannel Sales Model](https://www.daasity.com/data-models)
*Product*
Unify sales reporting across channels so teams can identify growth trends and understand which products and channels drive revenue.
A licensed commercial intelligence model that provides a consistent view of sales across DTC, marketplaces, wholesale, and retail. It reports net sales and units by brand, product, channel, account, and retailer, and surfaces channel mix and growth trends. The model distinguishes retail sell-through from wholesale sell-in to support accurate revenue reporting and avoid double counting. Product, channel, account, sales-type, and ownership mappings are configured and validated for each customer. It can be deployed in a supported existing data environment or hosted on the Daasity platform.

- **Sales by product, channel, and account** — Compare Sales Across Channels
- **Channel mix and growth trends** — Identify Channel Growth Trends
- **Governed sales definitions** — Align Teams Around Sales Metrics
- **Retail sell-through and wholesale sell-in separation** — Separate Sell-Through From Sell-In
- **Configurable sales mappings and rules** — Configure Sales Rules For Your Business
- **Flexible model deployment** — Deploy In Your Data Environment

### [Contribution Margin Model](https://www.daasity.com/intelligence-models)
*Product*
Helps brands identify which products and channels drive profitable growth and where to prioritize investment.
A licensed data model that connects sales and revenue to relevant product and channel costs, helping consumer brands understand contribution and profitability. It provides contribution margin tiers in dollars and percentages, profitability by product, SKU, channel, and account as supported by available inputs, and cost-driver breakdowns for items such as COGS, channel fees, fulfillment, marketing, and trade spend. CM1 and CM2 definitions, cost categories, and allocation rules are configured and validated for each customer. The model can be deployed in a supported customer data environment or hosted on the Daasity platform.

- **Contribution margin tiers** — Measure Contribution Across Margin Tiers
- **Cost-driver analysis** — Identify Costs That Affect Margin
- **Profitability by product and channel** — Compare Profitability Across Products And Channels
- **Revenue-to-margin analysis** — Trace Revenue Through To Contribution
- **Contribution-based investment analysis** — Prioritize Investment By Contribution
- **Configurable cost and allocation rules** — Configure Costs To Match Your Business
- **Governed metric definitions** — Align Teams Around Shared Definitions

### [Retail Promotion Optimization](https://www.daasity.com/intelligence-models)
*Product*
Understand which retail promotions deliver results and use performance and investment insights to plan future promotions more effectively.
A licensed data model that analyzes retail promotional lift, trade investment, and performance by account and product to inform future promotional plans. It compares promoted and non-promoted performance and uses promotion history to support planning. Key inputs include retail point-of-sale data, a promotion calendar, trade spend, and deductions.

- **Promoted and non-promoted performance comparison** — Compare Promotional Performance
- **Trade investment analysis** — Evaluate Trade Investment
- **Promotional lift analysis** — Measure Promotional Lift
- **Promotion history analysis** — Inform Future Promotion Plans
- **Promotion return optimization** — Optimize Promotion Returns

### [Digital Marketing Mix](https://www.daasity.com/intelligence-models)
*Product*
Connect marketing investment and attribution to commerce results to assess channel performance, acquisition efficiency, and marketing’s relationship to sales and contribution.
A licensed data model that connects marketing investment, attribution, and commerce results to show how marketing performance relates to commercial outcomes. It reports spend, return on ad spend, and acquisition cost by channel and campaign, with attribution views across digital channels and marketing spend alongside sales and contribution. Key inputs include advertising platform spend, attribution or web analytics, and order data. The model covers marketing performance reporting and attribution; statistical marketing mix modeling needs are confirmed during scoping.

- **Channel and campaign efficiency metrics** — Compare Channel And Campaign Efficiency
- **Marketing-to-commerce alignment** — Connect Spend To Commercial Results
- **Digital channel attribution** — Trace Results Across Digital Channels
- **Marketing and commerce data inputs** — Combine Marketing And Order Data

### [Inventory Optimization model](https://www.daasity.com/intelligence-models)
*Product*
Helps teams make smarter stock and replenishment decisions with visibility into weeks of supply, inventory risks, and sales velocity across products and locations.
A licensable Daasity intelligence model that brings sales velocity, inventory positions, and available forecasts together to support stock and replenishment decisions. It provides weeks of supply by product and location, stock-out and overstock risk flags, and sales velocity in relation to inventory position. Inputs can include inventory positions from distribution centers, third-party logistics providers, and retail locations.

- **Weeks-of-supply analysis** — Assess Stock Coverage
- **Stock-out risk identification** — Identify Stock-Out Risks
- **Overstock risk identification** — Identify Overstock Risks
- **Sales velocity analysis** — Compare Sales And Inventory
- **Multi-location inventory positions** — Review Inventory Across Locations
- **Available forecast inputs** — Incorporate Available Forecasts

### [Syndicated Data + AI Analyst](https://www.daasity.com/syndicated-data)
*Solution*
Help CPG teams understand their market, identify growth opportunities, and prepare compelling, buyer-ready retail stories.
A subscription solution for emerging and growth-stage CPG brands that combines syndicated market data from SPINS, NielsenIQ, and Circana with an AI Analyst. It helps teams understand category performance, market share, pricing, promotions, competitive benchmarks, and distribution opportunities. The AI Analyst highlights important trends and explains what they mean, while automatically generated retail narratives help teams present category momentum, brand performance, and expansion opportunities to retail buyers.

- **Syndicated market data access** — Access Broader Market Data
- **AI-powered insight analysis** — Surface Actionable Market Insights
- **Buyer-ready retail narrative generation** — Build Buyer-Ready Retail Stories
- **Category and competitive analysis** — Compare Category And Competitor Performance
- **Distribution and whitespace analysis** — Identify Retail Growth Opportunities

### [Daasity MCP AI Server](https://www.daasity.com/mcp-server)
*Product*
Connect AI applications to governed commerce data so teams can explore business performance with natural-language questions and trace answers to model definitions.
The Daasity MCP AI Server connects compatible enterprise AI applications, including ChatGPT and Claude, to Daasity’s governed commercial intelligence models. Teams can explore commerce performance using natural-language questions. Responses depend on connected data, governed metric definitions, model coverage, application configuration, and organizational architecture and permissions; responses should be validated before operational decisions.

- **Enterprise AI application connectivity** — Connect Enterprise AI Tools
- **Natural-language model queries** — Ask Questions In Natural Language
- **Governed data grounding and traceability** — Trace Answers To Governed Models

### [Customization and consulting services](https://www.daasity.com/services)
*Service*
Get data strategy, customized analytics, hands-on platform support, and data operations tailored to your business needs.
Daasity’s professional services help brands plan and customize their data environment, analytics, and reporting around their business needs. The team provides strategy and analysis, acquisition and retention planning, merchandising analytics and forecasting, data culture and metric alignment, custom data models, integrations and visualizations, and managed platform support. Managed services include data refreshes, issue notification and resolution, integration of new platform features, and loading raw retail CSV files and spreadsheets into Daasity.
- Categories: Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting)

- **Data strategy and analysis** — Align Data Strategy With Business Priorities
- **Custom data model development** — Build Models Around Your Requirements
- **Acquisition and retention strategy** — Refine Acquisition And Retention Strategies
- **Merchandising analytics and forecasting** — Improve Product And Inventory Decisions
- **Data culture and metric alignment** — Align Teams Around Shared Metrics
- **Customized integrations** — Connect Sources For Accurate Reporting
- **Custom data visualizations** — Visualize Data To Match Your Needs
- **Data refresh and issue management** — Keep Data Current And Resolve Issues
- **Platform feature updates** — Apply Platform Updates
- **Retail data ingestion** — Load Retail Data For Analysis

## Market Segments

- **Retail analytics** (market size $11.0B, CAGR 13%): Analysis of ecommerce sales, shopper behavior, product categories, marketplace pricing, and digital shelf visibility to guide retail performance and assortment decisions.
  - Products: Daasity platform, Omnichannel Sales Model, Syndicated Data + AI Analyst, Daasity MCP AI Server, Customization and consulting services
- **Profitability analytics** (market size $1.5B, CAGR 9.2%): Connects revenue with product, channel, fulfillment, and marketing costs to measure contribution margins and identify drivers of profitability.
  - Products: Contribution Margin Model
- **Marketing analytics** (market size $4.5B, CAGR 20.7%): Capabilities to measure campaign performance, attribution, customer segmentation, and dashboarding to optimize marketing ROI and decisions.
  - Products: Digital Marketing Mix, Daasity platform, Daasity Audiences
- **Inventory optimization** (market size $4.0B, CAGR 12.9%): Analyzes inventory positions, sales velocity, and available forecasts to assess stock coverage, identify stock-out and overstock risks, and support replenishment decisions.
  - Products: Inventory Optimization model, Daasity platform
- **Trade promotion optimization** (market size $1.2B, CAGR 12%): Evaluates retail promotional lift, trade investment, and account-level performance to improve promotional planning and returns.
  - Products: Retail Promotion Optimization

## Sources

- [Daasity](https://daasity.com)
- [Daasity platform](https://www.daasity.com/platform)
- [Daasity Audiences](https://www.daasity.com/audiences)
- [Omnichannel Sales Model](https://www.daasity.com/data-models)
- [Contribution Margin Model](https://www.daasity.com/intelligence-models)
- [Syndicated Data + AI Analyst](https://www.daasity.com/syndicated-data)
- [Daasity MCP AI Server](https://www.daasity.com/mcp-server)
- [Customization and consulting services](https://www.daasity.com/services)
- [The global retail analytics market size is calculated at USD 10.43 billion in 2025](https://www.precedenceresearch.com/retail-analytics-market)
- [The global retail analytics market size reached USD 12.1 Billion in 2025.](https://www.imarcgroup.com/retail-analytics-market)
- [The retail analytics market is projected to reach USD 11.82 billion in 2026 and USD 23.21 billion by 2032. This represents an 11.9% CAGR](https://www.marketsandmarkets.com/Market-Reports/retail-analytics-market-123460609.html)
- [The Retail Analytics Market reached an estimated USD 7.12 Billion in 2025 ... climbing to USD 11.10 Billion by 2035 at a 4.55% CAGR.](https://www.marketresearchfuture.com/reports/retail-analytics-market-3075)
- [The financial analytics market was valued at USD 15.20 billion in 2025.](https://www.futuremarketinsights.com/reports/financial-analytics-market)
- [Digital Marketing Analytics market size was valued at USD 4509 million in 2024 ... CAGR (2024–2032) 20.7%](https://www.credenceresearch.com/report/digital-marketing-analytics-market)
- [The Inventory Optimization Software Market was valued at USD 3.95 Billion in 2025 and is projected to reach USD 13.3 Billion by 2035, growing at a CAGR of 12.9% from 2027 to 2035.](https://www.linkedin.com/pulse/global-inventory-optimization-software-market-undrf/)
- [The inventory optimization artificial intelligence (AI) market size has grown from $2.68 billion in 2025 to $3.33 billion in 2026 at a CAGR of 24.2%.](https://www.researchandmarkets.com/reports/6264442/inventory-optimization-artificial-intelligence)
- [Globally, companies spend more than $500 billion every year on promotions designed to drive sales and market share.](https://www.anaplan.com/blog/why-cpg-leaders-are-rethinking-trade-promotion-management/)