MoEngage Case Studies 1Weather: Scaling Mobile User Engagement with Personalized Notifications

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	1Weather: Scaling Mobile User Engagement with Personalized Notifications MoEngage

1Weather: Scaling Mobile User Engagement with Personalized Notifications

MoEngage

Technology Category	Robots - Wheeled Robots Sensors - GPS
Applicable Industries	Cities & Municipalities Telecommunications
Applicable Functions	Sales & Marketing
Use Cases	Leakage & Flood Monitoring Smart City Operations
Challenge	1Weather, a top-rated weather app, faced a challenge in maintaining user engagement and re-engagement. Despite providing regular weather updates and predictions, the app was experiencing lower page sessions. The company wanted to ensure that users could consistently benefit from its accurate weather information and forecasts. The primary goals were to increase app opens and engagement, improve click-through rates (CTRs) using relevant push notifications, and boost the depth of each session using a content engagement score (CES). However, the company faced limitations due to the majority of its user base being in the U.S., where stringent data and user privacy laws required all engagement communications to be related to weather conditions only. Read More
About Customer	1Weather is a top-rated weather app on the Google Play Store, providing real-time local weather predictions. The mobile app offers weather information and forecasts for locations worldwide, as well as severe weather alerts and reports for specific locations in the U.S. 1Weather has more than 8 million active users, of which 5% are from the U.S. These users rely on the app for daily weather predictions, even when they are on the move. Read More
Solution	To overcome these challenges, 1Weather adopted a more segmented engagement approach, ensuring that delivered messages were relevant to each user and optimizing the number of messages sent. The company partnered with MoEngage to deploy its customer engagement platform. They leveraged the massive amount of location data from nearly 8 million users, which was analyzed using MoEngage Analytics to create niche user segments. The brand’s marketing team was also able to analyze past users’ behavior and their mobile app activity. They then segmented users into active and inactive groups, further segmented based on their default location preferences. The team utilized these newly segmented groups to dynamically map personalized user communication campaigns using Periodically Scheduled Push Notifications and Dynamic Product Messaging (DPM). They also implemented strategies to improve mobile app stickiness, moving users from the inactive segment group to the active segment group, and adding more location data to a user’s current profile. Read More Log in to view content
Contents

Technology Category

Robots - Wheeled Robots

Sensors - GPS

Applicable Industries

Cities & Municipalities

Telecommunications

Applicable Functions

Sales & Marketing

Use Cases

Leakage & Flood Monitoring

Smart City Operations

Challenge

1Weather, a top-rated weather app, faced a challenge in maintaining user engagement and re-engagement. Despite providing regular weather updates and predictions, the app was experiencing lower page sessions. The company wanted to ensure that users could consistently benefit from its accurate weather information and forecasts. The primary goals were to increase app opens and engagement, improve click-through rates (CTRs) using relevant push notifications, and boost the depth of each session using a content engagement score (CES). However, the company faced limitations due to the majority of its user base being in the U.S., where stringent data and user privacy laws required all engagement communications to be related to weather conditions only.

About Customer

1Weather is a top-rated weather app on the Google Play Store, providing real-time local weather predictions. The mobile app offers weather information and forecasts for locations worldwide, as well as severe weather alerts and reports for specific locations in the U.S. 1Weather has more than 8 million active users, of which 5% are from the U.S. These users rely on the app for daily weather predictions, even when they are on the move.

Solution

To overcome these challenges, 1Weather adopted a more segmented engagement approach, ensuring that delivered messages were relevant to each user and optimizing the number of messages sent. The company partnered with MoEngage to deploy its customer engagement platform. They leveraged the massive amount of location data from nearly 8 million users, which was analyzed using MoEngage Analytics to create niche user segments. The brand’s marketing team was also able to analyze past users’ behavior and their mobile app activity. They then segmented users into active and inactive groups, further segmented based on their default location preferences. The team utilized these newly segmented groups to dynamically map personalized user communication campaigns using Periodically Scheduled Push Notifications and Dynamic Product Messaging (DPM). They also implemented strategies to improve mobile app stickiness, moving users from the inactive segment group to the active segment group, and adding more location data to a user’s current profile.

Impact #1	With the implementation of MoEngage Analytics and Segmentation, 1Weather was able to analyze historical location data against new real-time data and segment users into more location-specific clusters. The team gained insights into how users interacted with their mobile app and learned the most searched cities in specific states. This enriched and location-specific engagement strategy led to a 10% increase in their engagement rate. The strategy of offering relevant, bite-sized user communications resulted in a significant increase in mobile app engagement. The addition of relevant content to every notification boosted their content engagement score (CES), which is calculated based on the different page views made by a user, with each page having a different weighted score.

Impact #1

With the implementation of MoEngage Analytics and Segmentation, 1Weather was able to analyze historical location data against new real-time data and segment users into more location-specific clusters. The team gained insights into how users interacted with their mobile app and learned the most searched cities in specific states. This enriched and location-specific engagement strategy led to a 10% increase in their engagement rate. The strategy of offering relevant, bite-sized user communications resulted in a significant increase in mobile app engagement. The addition of relevant content to every notification boosted their content engagement score (CES), which is calculated based on the different page views made by a user, with each page having a different weighted score.

Benefit #1	25 million additional incremental mobile app opens
Benefit #2	10% increase in click-through rates on push notifications
Benefit #3	20% boost in depth of session calculated using CES

Benefit #1

25 million additional incremental mobile app opens

Benefit #2

10% increase in click-through rates on push notifications

Benefit #3

20% boost in depth of session calculated using CES

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Overview

1Weather: Scaling Mobile User Engagement with Personalized Notifications

Operational Impact

Quantitative Benefit