Simulation Summary

Prioritizing Luna's Next Customer Segment

Luna Coffee Co.

Luna Coffee Co.

Role: Marketing Analyst

Luna Coffee Co. is a mid-sized specialty coffee brand operating across the United States with annual revenue of $38 million. Founded in 2017, Luna built its reputation on ethically sourced single-origin beans and artisan roasting techniques, serving a loyal customer base through 22 company-owned cafés, wholesale partnerships with 140 independent retailers, and a growing direct-to-consumer e-commerce channel. The brand occupies a premium positioning in the specialty coffee market, competing against regional craft roasters and national chains. Luna's customer base skews older and traditional, with 68% of current revenue coming from consumers aged 40 and above who favor hot brewed coffee.

Learner journey

  1. Project Brief

    Review Luna Coffee Co.'s revenue challenge and your role as Marketing Analyst.

  2. Manager Video Call

    Watch Rachel Nguyen explain Luna's flat growth and segmentation priorities.

  3. Task Email

    Receive assignment to analyze customer data and recommend priority segment.

  4. Review Resources

    Examine Luna's customer data pack and identify key segmentation variables.

  5. Written Task

    Draft segmentation recommendation memo applying frameworks to Luna's customer data.

  6. Feedback

    Review detailed feedback on your segmentation analysis and prioritization decision.

  7. Chat Defense

    Justify your segment prioritization choice in conversation with Rachel Nguyen.

Key moments

Key Moments highlight the workplace artifacts that make your topic feel real — like calls, emails, resources, and files.

Simulation details
Intent
Practical Application
Level
Undergraduate
Format
MicroSim
Steps
3 tasks
Est. Duration
45 min

How assessment works

Verify whether the student can accurately apply segmentation frameworks to Luna Coffee Co. customer data and make soun...

Concept Accuracy
Correctly identifies and applies segmentation variables from Luna Coffee Co. customer data using taught frameworks.
Framework Usage
Applies segmentation frameworks in proper sequence to analyze Luna's customer base and prioritization opportunity.
Contextual Application
Adapts segmentation principles to Luna Coffee Co.'s specialty coffee market position and $38M revenue context.
Error Recognition
Identifies flawed assumptions about Luna's customer segments or weak prioritization logic before finalizing recommendation.
Reasoning Clarity
Communicates segmentation analysis and prioritization logic with structured evidence that connects data to recommendation.
Critical Thinking
Demonstrates thorough analysis of Luna's customer data with specific justifications rather than surface-level segment descriptions.
Adaptability
Adjusts segmentation approach when Luna's marketing director introduces new constraints or challenges initial recommendation.
Empathy
Considers how prioritization decision affects different Luna customer segments and incorporates stakeholder perspectives into recommendation.
Intellectual Ownership
Defends segmentation reasoning substantively when challenged by Luna's marketing director rather than retreating from recommendation.
Metacognition
Flags data limitations in Luna's customer pack and qualifies assumptions when justifying audience prioritization.