Suppliers
United States
Amplitude
Overview
This profile is not managed yet, if you would like to manage
this profile, please contact us at team@iotone.com
this profile, please contact us at team@iotone.com
![]() |
Amplitude |
United States | |
San Francisco | |
2012 | |
Public | |
AMPL (NASDAQ) | |
$100m-1b | |
201 - 1,000 | |
Open website |
IoT Snapshot
Technology Stack
Case Studies
Number of Case Studies4
Adapting to User Behavior Changes: A Case Study on BetterMe's Use of Amplitude
BetterMe, a leading behavioral healthcare app publisher, faced a significant challenge during the pandemic. Despite being well-positioned to capitalize on the shift from gyms and group fitness classes to home workouts, the company found itself in catch-up mode. The behavioral changes of its users, such as the marked increase in time users were spending on the app, required rapid adaptation. The main challenges were the speed of experimenting and responding to user needs while maintaining a high satisfaction level. The company needed to balance velocity and satisfaction levels, which was a complex task. Additionally, BetterMe needed to understand how its new features were affecting user retention and revenue rates, and which releases were gaining traction and which were not. |
|
Leveraging Self-Serve Analytics to Drive Growth: A Case Study on Kahoot!
Kahoot!, a platform for creating, sharing, and playing learning games or trivia quizzes, has experienced significant growth since its inception in 2012. With over 550,000 paying users and more than 1.5 billion participating players in 200 countries, the company faced the challenge of effectively managing and utilizing its vast product usage data. Despite having adopted Amplitude, a product intelligence platform, Kahoot! was only using a few functionalities and tracking minimal events. The company was suffering from a classic bottleneck where all data requests had to go through the data analysts. This situation was not sustainable given the company's growth and the increasing need for data-driven decision making across different departments. |
|
Data Democratization and Rapid Testing: How Amplitude Scales Canva
Canva, an online design and publishing platform, was facing a challenge in managing and utilizing its vast data. The company wanted to empower non-technical stakeholders with self-serve data to explore different areas as needed. They had a data warehouse, but the barriers to entry were too high for the average user. To grow Canva at scale, non-technical people needed to segment audiences and create funnels. It was difficult for product managers to dive into new releases and see how new features performed or get a breakdown of a funnel. Shortly after launch, the team realized the need for a more detailed product analytics solution. |