Me N ü Food App Inc. is a bilingual, Montreal-based food tech startup reimagining how restaurants and diners interact. Through a dynamic digital platform, Me N ü enables restaurants to publish flexible, media-rich online menus that customers can access by scanning a QR code at the table. This modern dining solution offers photos, descriptions, and reviews to help customers make informed choices—while providing restaurants with valuable engagement data.

Currently in its MVP stage, Me N ü has onboarded 30 restaurants and 500 foodie users. However, with user churn increasing due to limited restaurant coverage, the company is now focused on acquiring more restaurant partners and optimizing user engagement.

This Marketing Analytics Internship Project invites Master of Data Analytics students to support Me N ü’s growth by analyzing customer and partner data, identifying churn drivers, evaluating campaign performance, and proposing data-driven strategies to improve retention and B2B acquisition. Interns will apply advanced analytical tools and collaborate with Me N ü’s team to shape the future of dining technology in Quebec.

Apply Data Analytics Tools

Interns will use Python, SQL, Tableau, and CRM data to analyze platform usage, customer behavior, and marketing effectiveness to improve retention and restaurant partner acquisition.

Solve Organizational Problems

Interns will tackle real-world challenges around user and partner churn, ineffective campaign ROI, and limited engagement data by building models and dashboards that drive actionable insights.

Demonstrate Ethical Data Practices

Interns will follow ethical standards in handling user and partner data, ensuring privacy compliance and responsible use in segmentation and targeting.

Evaluate Broader Impact

Interns will assess how platform optimization could enhance both the customer and restaurant experience, promoting digital transformation in the food sector.

Collaborate and Communicate Effectively

Interns will work with the Me N ü marketing and operations teams to translate analytics findings into compelling visuals and clear recommendations for business decision-making.

Main Duties:

• Analyze foodie and restaurant churn patterns using historical engagement data
• Identify key behavioral indicators of user retention and partner disengagement
• Evaluate email, social media, and campaign performance (CTR, conversion, unsubscribe rate)
• Segment foodie users based on engagement and activity patterns
• Create Tableau dashboards to track KPIs (daily active users, churn rate, activation funnel, etc.)
• Propose A/B tests or personalized marketing tactics based on insights
• Support improvements in restaurant partner engagement flows

Generalized Goal:

Use data analytics tools to analyze user and partner engagement, uncover churn drivers, and build dashboards/models that support data-informed retention and acquisition strategies.

Project Structure

1. Project Overview & Objective Statement

Problem:

Me N ü is experiencing foodie churn due to insufficient restaurant presence on the platform, and needs better data visibility to reduce loss and attract new restaurant partners.

Objective:

Analyze usage, churn behavior, and marketing campaign effectiveness to identify retention drivers, optimize communication strategies, and recommend a restaurant growth strategy based on data insights.

Project Type:

Churn analysis, marketing performance analytics, and B2B lead funnel optimization.

2. Data Summary & Preprocessing

Data Description:

• App usage logs (scans, sessions, location)
• Restaurant partner onboarding status and interaction logs
• Foodie user data (sign-up source, visit frequency, drop-off points)
• Email/Social campaign performance metrics (open/click rates, conversions)
• CRM and Google Analytics data from website and social platforms

Cleaning & Preparation:

• Handle missing data and duplicates
• Normalize timestamps and session logs
• Filter bot/spam data and segment by region or user type
• Feature engineering: churn flags, session length, restaurant category, subscription activity

3. Analysis or Modeling Output

Potential Outputs:

• Churn prediction model (e.g., logistic regression or decision tree) for foodies or restaurants
• User segmentation model (e.g., k-means clustering) to group foodies by behavior
• Campaign attribution dashboard showing which outreach efforts drive engagement
• Heatmaps or time series visualizations of app usage by region, time, or restaurant category
• Retention funnel dashboard showing key drop-off points

4. Insights Report

Key Findings:

• What user behaviors predict long-term engagement?
• Which acquisition campaigns underperform and why?
• What are the top churn indicators for foodies or restaurant partners?
• Which menu categories or types of restaurants retain foodies best?

Visualizations:

• Cohort analysis for foodie retention
• Partner churn trend graphs
• Campaign performance charts
• Dashboard screenshots

5. Recommendations

Strategic Actions Based on Findings:

• Implement automated onboarding touchpoints for restaurant partners
• Launch targeted retention emails to foodie segments with high churn risk
• Prioritize marketing spend on high-converting channels
• Develop incentive campaigns tied to foodie engagement with underperforming restaurants
• Improve communication of app value through testimonials and local success stories

6. Stakeholder Presentation

• 10–12 slide deck for Me N ü’s executive team
• Clear presentation of insights, data visuals, and 3-month action plan
• Tailored for non-technical stakeholders and decision-makers

7. Reflection / Learning Report

• Summary of tools used (Python, SQL, Tableau, CRM analytics)
• Reflection on business impact and collaboration process
• Assessment of limitations, challenges, and future optimization opportunities

Skills Interns Will Gain

• Churn analysis and user behavior modeling
• CRM and campaign analytics
• Data visualization and dashboard development
• Segmentation strategy development
• A/B testing and KPI tracking
• Communication of data to business stakeholders