Conjointly’s Post

🔎Identify the most effective tier for each product feature Craft product offerings that entice customers to upgrade to premium tiers while keeping all users satisfied. Through the Feature Placement Matrix, you can identify which features to include in: - Every tier to satisfy all users. - Premium offerings to engage the most valuable users. - Optional add-ons to upsell users from free and basic tiers. - Deprioritisation to minimise cost and waste. ▶️ Learn how FPM works: https://lnkd.in/gskmzy-9

Without product-market fit, you've got nothing. To find it, follow these five steps. 1. Find a significant problem to work on 2. Validate the problem by talking to users 3. Get users to use your product 4. Keep users coming back 5. Onboard your first five reference customers

Did you know we also Oddit more complex purchase journeys? Custom products and bundling means complicating the users conversion journey. Every step you add to the path, the more time you need to invest in dialling in the details.

A well-designed and implemented early user program can become a vital foundation for launching a successful new product.

Remember there is a HUGE difference between complicated and complex A Swiss watch is complex; lots of tiny pieces working in harmony, intuitive and well designed Filling in a form to renew your passport is complicated; unintuitive, lots of disparate information, that you need 3 other documents for to complete correctly Now think about this in terms of sales process, product features, customer experience, demo journey... ...is it complex or complicated?

We tested offering product bundles for one of our clients, and increased AOV, transactions, and revenue per user in the process. Problem and insights: No product bundling. Hypothesis: If we offer bundle options to the visitors its discounts will motivate them to buy more, increasing AOV. Outcome/Takeaway: Winner - Implement Variation 1 (Below “Add to Cart”): +2.12% in AOV +5.27% in Transactions (85% stat. sig.)                 +7.50% in Revenue per user* (Using sessions*) Variation 2 (Below “Ingredients”): -0.39% in AOV +4.88% in Transactions (82% stat. sig.)              +4.47% in Revenue per user* (Using sessions*) We recommended implementing V1 and iterating with alternative pricing/bundles. Tested anything similar?

Boost your product game with Customer Feedback Loops! Here's the simple roadmap: 1. Connect: Listen to users 2. Learn: Spot trends 3. Refine: Upgrade and repeat Level up your product journey! --- P.S. If you liked this post, you'll enjoy The Product++ :) 1. Follow me 2. Hit the bell 3. Join my weekly newsletter

A well-designed and implemented early user program can become a vital foundation for launching a successful new product.

Did you know you could plug Cycle App to Gong, automatically fetch sales call transcripts, and process them all on autopilot? The goal is to extract « voice of sales » insights: -What are the top feature requests, sorted by $ revenue impact? -What are the most common problems highlighted by top customers? -What are the best upsell opportunities? -What deals are blocked due to a missing feature? Revenue teams love it as it helps them be analytical about their requests to the product teams: now they can put dollar values on feature requests! 💰

The biggest problem in Web3: Trust 📉 The solution is simple, but most Web3 brands are lazy: 1) Create an easy-to-understand message that taps into shared values with your customer 2) Produce premium originals your customer cares about, delivered by a face they trust