Company Context
BrightBrew is a direct-to-consumer cold brew coffee brand with $42M in annual revenue, sold through its website, Amazon, and 3,200 grocery stores in the US. The company has grown quickly over the last three years, but growth has slowed from 28% YoY to 11% YoY. BrightBrew is preparing to launch a new line of functional coffee drinks targeted at health-conscious consumers, and leadership must decide how to structure its marketing analysis before committing a $6M launch budget.
Strategic Situation
The CMO believes the team relies too heavily on survey comments, focus groups, and retailer anecdotes when making marketing decisions. The CFO argues that only hard performance metrics such as conversion rate, repeat purchase, and CAC should guide the launch. The CEO wants a practical recommendation on how qualitative and quantitative data should each be used in the go-to-market plan, including where each type of data is most valuable and where it can mislead the business if used alone.
BrightBrew has six weeks to finalize launch strategy, including target segment, messaging, channel mix, and first-quarter budget allocation. You are the strategy manager asked to advise the executive team.
Data Points
| Metric | Current Value |
|---|
| Annual revenue | $42M |
| YoY growth | 11% |
| Gross margin | 38% |
| Marketing spend last year | $9.5M |
| Blended CAC | $27 |
| 90-day repeat purchase rate | 31% |
Additional research inputs available:
- Quantitative: 18 months of channel performance data, 42,000 customer transactions, website funnel analytics, retailer sell-through data from 600 stores, and a recent survey of 2,400 consumers.
- Qualitative: 24 in-depth customer interviews, 6 focus groups, 180 open-text survey responses, retailer feedback from 15 category buyers, and social media comment analysis.
- Early concept testing shows 58% stated purchase intent for the new product, but only 22% unaided message recall across three proposed campaign themes.
- Amazon reviews for existing products average 4.3/5, but recurring negative comments mention “too sweet” and “unclear health benefits.”
Deliverables
- Explain the difference between qualitative and quantitative data in marketing analysis using BrightBrew’s situation.
- Assess what strategic questions each data type is best suited to answer for the product launch.
- Recommend how BrightBrew should combine both data types to make decisions on segmentation, messaging, and channel allocation.
- Identify the risks of over-relying on one type of data.
- Propose a simple six-week research and decision plan for the launch team.
Constraints
- Launch recommendation must be ready in 6 weeks.
- Incremental pre-launch research budget is capped at $250K.
- The company cannot delay the product launch beyond the next retail reset window.
- Marketing, insights, and sales teams are aligned only if the recommendation is backed by both customer evidence and financial logic.
