Featured
Quarterly Report
January 2025
Q4 2024 Marketing Performance Report
Comprehensive analysis of holiday marketing performance across all channels with YoY comparisons and key learnings.
media
Marketing & Customer Insights Division
Turn Customer Data Into
Measurable Growth
Winn-Dixie Analytics powers smarter marketing decisions through advanced attribution, customer segmentation, and retail media measurement—enabling data-driven growth across every customer touchpoint.
0%
Average Campaign Lift
0x
Marketing ROAS
0%
Customer Retention Uplift
0%
Basket Size Growth
About Winn-Dixie Analytics
The Intelligence Behind Smarter Marketing
Winn-Dixie Analytics is the internal center of excellence dedicated to transforming marketing performance across all channels. We partner with Marketing Leadership, Merchandising, and Growth teams to deliver actionable insights that drive measurable business outcomes.
Our team of data scientists, marketing analysts, and measurement experts work at the intersection of customer behavior, campaign performance, and retail media—enabling every marketing dollar to work harder.
Our Mission
Empower marketing excellence through data-driven decision making, advanced measurement capabilities, and customer intelligence that fuels sustainable growth.
How We Work
Strategic Partnership
We embed with marketing teams to understand business objectives before diving into data, ensuring every analysis drives actionable outcomes.
Full-Funnel Measurement
From awareness through conversion and retention, we connect the dots across channels to understand true marketing impact.
Customer-Centric Approach
Every insight starts with the customer. We leverage loyalty data, transaction history, and behavioral signals to personalize at scale.
15+
Analytics Experts
50M+
Customer Records
200+
Campaigns Measured/Year
Our Journey
History & Evolution
From early loyalty data to AI-powered insights, our analytics capabilities have evolved to meet the demands of modern retail marketing.
2005
Loyalty Data Foundation
Launch of the Winn-Dixie Rewards program, creating our first unified view of customer purchasing behavior across 500+ stores.
First Customer Data Warehouse
2012
Digital Transformation Begins
Integration of online shopping data with in-store transactions, enabling cross-channel customer journey analysis.
Omnichannel Attribution Model
2017
Advanced Analytics Era
Establishment of dedicated Marketing Science team focused on predictive modeling, customer segmentation, and lifetime value optimization.
Customer Lifetime Value Framework
2020
Retail Media Launch
Introduction of Winn-Dixie Media Network, enabling CPG partners to reach shoppers with measurable, closed-loop advertising.
Retail Media Platform
2023
AI-Powered Insights
Deployment of machine learning models for real-time personalization, dynamic pricing recommendations, and automated campaign optimization.
ML Experimentation Platform
2024
Analytics Center of Excellence
Formation of Winn-Dixie Analytics as a unified division, consolidating marketing science, BI, and experimentation capabilities.
Unified Analytics Organization
What We Do
Analytics Capabilities
From performance measurement to predictive modeling, we deliver end-to-end analytics that transform how marketing teams plan, execute, and optimize.
Marketing Performance & ROAS Measurement
Track and optimize return on ad spend across digital, traditional, and retail media channels with unified attribution.
Channel ROASIncrementality LiftCost Per Acquisition
Customer Segmentation & Personalization
Leverage behavioral clustering and predictive models to deliver relevant experiences to distinct customer cohorts.
RFM SegmentsCLV TiersPropensity Scores
Attribution & Incrementality Testing
Understand true campaign impact through geo-holdout experiments, matched market tests, and multi-touch attribution.
Incremental RevenueHalo EffectsCross-Channel Impact
Media Mix Modeling (MMM)
Allocate marketing budgets optimally using econometric models that account for seasonality, saturation, and lag effects.
Budget AllocationSaturation CurvesROI by Channel
Retail Media & In-Store + Online Insights
Measure the impact of sponsored products, digital coupons, and in-store activations on shopper behavior and sales.
Sponsored ROASCoupon RedemptionBasket Penetration
Forecasting & Budget Optimization
Predict campaign outcomes and optimize spend allocation using scenario planning and what-if analysis tools.
Sales ForecastsBudget ScenariosTarget Setting
Creative & Messaging Insights (A/B Testing)
Run rigorous experiments on creative elements, messaging, and offers to maximize engagement and conversion.
Conversion LiftCreative WinnersStatistical Significance
Dashboarding & Executive Reporting
Self-serve dashboards and automated reports that bring real-time visibility to marketing performance for all stakeholders.
Live KPIsAutomated AlertsWeekly Scorecards
How It Works
Analytics Platform
Our integrated platform transforms raw data into marketing action through four connected stages.
01
Data Collection
Ingest transaction, loyalty, digital, and retail media data into our unified customer data platform.
POS Transactions
Loyalty Events
Digital Interactions
Media Impressions
02
Modeling & Analysis
Apply statistical models, machine learning, and causal inference to extract actionable patterns.
MMM & Attribution
Customer Clustering
Predictive Models
A/B Testing
03
Insights Generation
Transform complex analysis into clear, business-ready insights with strategic recommendations.
Performance Reports
Opportunity Sizing
Segment Profiles
Budget Scenarios
04
Activation & Optimization
Push insights to marketing execution systems for real-time personalization and campaign optimization.
Audience Exports
Offer Targeting
Bid Optimization
Trigger Campaigns
Impact Stories
Proven Results
Real examples of how our analytics capabilities have driven measurable business outcomes.
Campaign Performance
Holiday Campaign Optimization
Challenge
The 2023 holiday season required precise budget allocation across 12 marketing channels with limited historical data on emerging digital platforms.
Approach
Deployed an MMM model incorporating retail media, connected TV, and digital channels with weekly recalibration based on real-time performance signals.
Results
5.2x
Campaign ROAS
+38%
$8.4M
Incremental Sales
+22%
-18%
Cost Efficiency
savings
Customer Retention
Loyalty Re-engagement Program
Challenge
Identify and reactivate 1.2M lapsed loyalty members who had not shopped in 90+ days, without cannibalizing existing customer value.
Approach
Built propensity models to score reactivation likelihood and personalized offer sensitivity, deploying targeted campaigns through email, app, and direct mail.
Results
24%
Reactivation Rate
+9pp
$68
Avg. Basket Post-Return
+15%
67%
90-Day Retention
+28pp
Retail Media
Retail Media Network Launch
Challenge
Launch Winn-Dixie's retail media network with CPG partners requiring closed-loop measurement proving sales lift from sponsored placements.
Approach
Implemented incrementality testing framework with matched control groups, providing CPG partners with weekly performance dashboards and attribution reports.
Results
6.8x
Partner ROAS
avg
+31%
Incremental Lift
proven
$4.2M
Partner Revenue
Q1 2024
$24M+
Incremental Revenue Attributed
150+
Campaigns Measured
4.8x
Average Partner ROAS
Our Organization
Team & Operating Model
A dedicated team of specialists organized to deliver comprehensive analytics capabilities to the business.
Marketing Data Science
Build predictive models, run causal inference studies, and develop ML solutions for personalization and optimization.
5 Data ScientistsBusiness Intelligence
Design and maintain dashboards, automate reporting, and deliver self-serve analytics tools to stakeholders.
4 BI AnalystsExperimentation & Testing
Run A/B tests, geo-holdout experiments, and incrementality studies to validate marketing effectiveness.
3 Experiment LeadsRetail Media Analytics
Measure and optimize sponsored product performance, provide CPG partner insights, and develop closed-loop attribution.
3 Media AnalystsPartnering with Marketing
1
Embedded Analysts
Dedicated analysts partner directly with brand, digital, and loyalty teams for deep domain expertise.
2
Request Intake Process
Structured intake for ad-hoc analysis ensures clear scope, timelines, and business alignment.
3
Quarterly Business Reviews
Regular presentations to leadership on insights, opportunities, and strategic recommendations.
Governance & Data Ethics
Data Privacy & Compliance
All analytics adhere to CCPA, internal data governance policies, and responsible use guidelines for customer data.
Cross-Functional Governance
Analytics priorities are set through quarterly planning with Marketing, Merchandising, and Digital leadership.
Ethical AI Practices
ML models undergo bias testing and transparency reviews before deployment to ensure fair customer treatment.
Knowledge Hub
Insights Library
Browse our collection of reports, research findings, and thought leadership from the Analytics team.
Filter:
Audience Insights
December 2024
Customer Segmentation Deep Dive: Value Seekers
Behavioral profile and shopping patterns of our fastest-growing customer segment with personalization recommendations.
customer
Methodology Guide
November 2024
Retail Media Attribution Methodology
Technical documentation of our closed-loop measurement framework for CPG partner sponsored campaigns.
media
Store Analytics
October 2024
Store Format Performance Analysis
Comparative analysis of marketing effectiveness across store formats with localized targeting insights.
stores
Research Report
September 2024
Digital Coupon Optimization Study
A/B testing results and recommendations for digital coupon presentation, timing, and targeting strategies.
digital
Featured
Trend Analysis
August 2024
Seasonal Shopping Behavior Trends 2024
Year-over-year analysis of seasonal shopping patterns with predictive insights for upcoming holiday periods.
customer
Access to full reports requires internal authentication
Get In Touch
Request an Analytics Brief
Submit a request for analytics support, custom reports, or strategic insights. Our team will review and prioritize based on business impact and alignment with quarterly objectives.
What to Include in Your Request
- Clear business question or objective
- Expected decision or action from insights
- Relevant timeframe and deadlines
- Key stakeholders and presentation needs
- Any existing data or previous analysis to reference
Internal requests from Marketing, Merchandising, and Growth teams are prioritized. Average response time is 2-3 business days.