Retail
An all-in-one platform tailored to provide the insights and tools that retailers need to make data-driven decisions and drive revenue.
Learn MoreData Analytics
Consumer Behaviors & Insights
High-Value Audience Building
Digital Advertising Campaigns
Purchasing History and Forecasting
Competitor Analysis
Marketing Impact Measurement
Turn Retail Data into Revenue with Datafy
Datafy has the data and analytics capabilities and the advertising and attribution technology that retailers need to make smart decisions to drive revenue and growth.
Data Solutions for the Modern Retailer
Analytics and Strategy
Consumer insights from big data sets provide understanding into big data trends, purchasing behaviors and market. Pair these insights with first-party data to identify trends and strategic shifts, and to uncover answers to the questions that you care about most, like: Is my pricing working?
Advertising and Audience-building
Datafy's owned DSP allows retailers to serve cost-efficient ad campaigns across digital touchpoints. Want to target frequent shoppers? Competitor’s customers? Shoppers with specific purchase behaviors? Reach only your ideal audience using our real-life behavior targeting capabilities.
Performance Measurement with Attribution
Datafy's Attribution Solutions link your media efforts to in-store visits and conversions, allowing you to measure and report on the purchase and visits that resulted directly from your digital marketing efforts.
Aligning Inventory and Sales Goals
Our advanced forecasting tools makes it possible for retailers to align inventory and sales goals by reviewing pricing elasticity trends to determine inventory sell through during promotional events.
First-Party Data Support
Transform your first-party data into insights that can be used to drive measurable advertising and revenue.
Technology Solutions Designed for Retailers
Datafy’s in-house tech team provides solutions to the retail industry’s most common data issues: clean data storage, identity and clean room solutions, strategy implementation, and the integration of disparate data sources into one streamlined platform.