Weather Forecast for people is about reducing future uncertainty. We sell quality and accuracy to users that we eliminate uncertainty in the near future regarding weather and make the world more predictable for them. We sell a sense of control over near future.

Industries: Weather Forecasting, AI Model: b2c, b2b Business goal: self-sufficiency Product goal: 100M active users, rr30 ≥ 20% Marketing goal: CPI ****< $0.5 worldwide

1. Concept

Short-range Accurate Weather Forecasting → accuracy

1. Highest Prediction Fact (metric: F1)
2. High Geographical Granularity (metric: scale)
3. Right time to notify (metric: engagement)

2. Product → Epic: Personalization

Weather notifications are divided into two types:

1. Significant Weather Change (value: safety)
2. User Activity Assistance (value: personal effectiveness)

⚠️ Significant Weather Change Notification

This system already exists as base.

Let’s see tornado example:

1. A tornado is occurring 3 km away from the user's location.
2. We predict that the tornado will reach the user's location in 30 minutes.
3. We have warned the user about the potential danger 🌪.
4. We provided value and built trust.
5. This is a good "aha" moment to leverage for engagement:
   a) →(non-paying user)personalized paywall based on notification information [↑ CR ] b) →(paying user) sharable screen for family/friends (family subscription sharing info, and subs discount for friends) [↑ k-factor ]

🔔 User Activity Assistance Notification

Weather concerns outdoor conditions. Before understanding precisely when and why users consult short-range weather forecasts, we assume activities based on related successful products that offer services for outdoor activities and generate revenue.

To build this system correctly, we need to organize a Customer Development Cycle and segment our user base with benefits. Proposed feature as a part of Personalization Epic.

<aside> 💡 Feature 1: Activity-Based Onboarding

• Objective: To enhance user engagement and personalization through tailored onboarding.

• Description: Introduce an activity-based onboarding feature within the product. Users are prompted to choose from a list of pre-installed activities, including:

  • Outdoor sports 🏃‍♂️
  • Outdoor walking 🚶‍♀️
  • Walking with pets 🐕
  • Photography 📸
  • Gardening 🌱

  Based on their selection, users will receive personalized notifications relevant to their chosen activity and app usage patterns.

• Value Proposition: This feature aims to add significant additional value to our subscription model by:

  • Enhancing personalization 🎯
  • Increasing user engagement and interaction with the app 👥

• Expected Outcomes:

  • Conversion Rate (CR) Growth 📈: Anticipated increase in subscription conversions due to the tailored experience.
  • Retention Metrics (R1, R7)Growth 🕒: Improvement in both mid-term and long-term retention, fostering a deeper connection between the user and the product.
  • User Segmentation 🎯: Achieve a granular understanding of individual user interests and behaviors, enabling more precise targeting and personalization. </aside>

3. Product → Forecast Prediction Involving

Regarding users who are already “volunteering” in the app:

<aside> 🌦️ Feature 2: User Engagement through Weather Reporting

• Objective: To incentivize and engage a specific user segment in contributing weather reports, enhancing forecast accurancy and user participation.
• Description: This feature targets a segment of users identified as contributors who report weather conditions without needing explicit motivation. To further encourage and reward their contributions, the following elements are introduced:
  • Gamification with Streaks 🎮: Implement a system where contributors earn streaks for consistent reporting. This adds an element of fun and competition.
  • Access to Premium Features 🔑: As a reward for their regular contributions, these active contributors are granted access to premium app features, which are typically behind a paywall.
• Value Proposition:
  • Community Building 🤝: Foster a sense of community among users by recognizing and rewarding their contributions.
  • Enhanced Data Accuracy 📊: Improve the accuracy and richness of weather data through crowd-sourced reports.
• Expected Outcomes:
  • Increased User Engagement 📈: Expect a rise in active participation from the user base, contributing to more frequent and accurate weather reports [↑ stickiness]
  • Higher Conversion to Premium Features 💸: Anticipate an uptick in the usage of premium features as users gain access through consistent reporting as free-trial. [↑ CR]
  • Improved Data Collection 🌐: Enhanced weather data accuracy and granularity through user-submitted reports. [↑ F1 Score]
• Implementation Notes:
  • User-friendly interface for reporting weather conditions.
  • Clearly communicate the gamification rules and rewards to ensure transparency and maintain user interest.

Target Audience: Users with an interest in weather reporting (already did report 2 times)

</aside>

For users with short session time and without in-app weather reporting: