Agreed 🫡

Why Conjoint Analysis Matters

It doesn’t just tell you what customers like—it reveals how much they value each feature.

Used in:
✔️ Airlines: Legroom vs. Ticket Price vs. Wi-Fi
✔️ Smartphones: Camera Quality vs. Battery Life vs. Price
✔️ Streaming Services: Ad-free vs. More Content vs. Lower Cost

Step 5: Optimize Product Offerings

With these insights, businesses can refine products, pricing, and marketing based on what actually drives customer choices.

Example: A phone brand can decide whether to focus on battery life or camera quality.

Step 4: Use Statistical Models

Advanced models (like Hierarchical Bayesian or Logit models) analyze responses to determine:
✅ The relative importance of each feature
✅ How much customers are willing to pay for each attribute

Step 3: Collect Responses

Surveys gather data from a representative sample. Instead of ranking preferences, consumers make real-world trade-offs—revealing what matters most.

Step 2: Design Choice Scenarios

Customers see different product combinations & must pick their preferred option.

Example: A travel company may ask:
✈️ Option A: $200 ticket, extra legroom, no Wi-Fi
✈️ Option B: $180 ticket, standard legroom, free Wi-Fi

Step 1: Define Attributes & Levels

• Attributes = Product features (e.g., price, battery life, screen size).
• Levels = Variations of each attribute (e.g., price: $599, $799, $999).

These define what customers will compare.

Honing my infographic skills at the moment

FYI I get this even though I granted location access while using the app. I initially gave less access (once, not precise) but fixed it and still see this after relaunching

That blog post is great, appreciate it!

Late to this one but just finishing Made to Stick. Great read for indie hackers on the marketing front.