AI-Powered Personalization
Use predictive analytics and customer data to create more relevant offers, bundles, and messaging.
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Marketing Strategy • AI • Analytics • IMC
Einstein Bros. Bagels
Data-Driven Growth and AI Integration for Market Leadership
A 20-page marketing capstone exploring how Einstein Bros. Bagels could strengthen brand differentiation, improve convenience, personalize customer experiences, and measure performance through AI, predictive analytics, integrated marketing communications, and marketing analytics.
15%6-month foot traffic goal
188%Campaign ROI
12.5%Conversion rate
4.0%Click-through rate
01 • Overview
The challenge
Einstein Bros. Bagels operates in a competitive fast-casual breakfast market, facing major brands such as Starbucks, Panera Bread, and Dunkin’. The project identified changing consumer expectations around convenience, mobile ordering, personalization, and protein-oriented breakfast options.
Core question
How can a strong legacy breakfast brand become more data-smart, personalized, and digitally competitive?
02 • Strategy
Five strategic priorities.
Smart Start Breakfast Line
Develop convenient, health-conscious, protein-oriented breakfast offerings for busy customers.
Integrated Brand Storytelling
Build a cohesive narrative across social media, community activations, email, mobile, and local campaigns.
Market Expansion
Evaluate growth opportunities in new regions and English-speaking international markets.
Marketing Analytics
Measure loyalty, acquisition efficiency, conversion, ROI, and campaign performance with consistent KPIs.
03 • Integrated Campaign
“Fuel Your Morning, Share the Joy.”
The integrated marketing communications concept was designed to reposition Einstein Bros. as a go-to breakfast brand for busy professionals and college students, with a goal of increasing store traffic by 15% within six months.
Digital + Social
Influencer partnerships, user-generated content, “Bagel of the Week,” and localized short-form video.
Community
Bagel Fridays, campus Finals Fuel giveaways, and local 5K sponsorships.
Email + Mobile
Personalized push notifications and recurring “Morning Deals” designed to increase app activity.
04 • AI + Customer Data
From reactive marketing to predictive marketing.
The capstone proposed using customer data, segmentation, and predictive analytics to anticipate demand, identify churn risk, optimize offers, and improve the timing of marketing messages.
Salesforce EinsteinPredictive customer response
Google Cloud AIEmerging behavior and menu trends
HubSpot AIEmail and social optimization
IBM Watson AnalyticsPurchase and demand forecasting
05 • Analytics
Performance measurement built into the strategy.
Campaign efficiency
Morning Made Easy
Case Study
ROI188%$2.88 revenue per $1 spent
Conversion Rate12.5%Strong purchase intent
CTR4.0%Above cited 2.5% benchmark
CPA$30Acquisition efficiency
Optimization recommendations
- Shift more budget toward the strongest-performing channels.
- Increase email personalization to support repeat conversion.
- Improve Google Search keyword efficiency to lower CPC and capture higher-intent traffic.
06 • Market Research
Testing the Smart Start concept.
The proposed research plan combined qualitative and quantitative methods to evaluate health perceptions, packaging, price sensitivity, purchase intent, and brand perception among Gen Z and Millennial consumers.
Qualitative
Focus groups with current, former, and target customers.
Quantitative
Online and app-based surveys designed to measure purchase intent and pricing response.
Ethics
Transparency, consent, privacy compliance, and regular audits for AI-generated insights.
07 • Takeaway
What this project demonstrates.
This project demonstrates my ability to connect market research, consumer behavior, integrated marketing, creative strategy, AI, analytics, and ROI into one cohesive marketing plan.
Next Project
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