Google Cloud Platform Case Studies Bending Spoons: Leveraging Big Data for App Optimization and Monetization

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	Bending Spoons: Leveraging Big Data for App Optimization and Monetization Google Cloud Platform

Bending Spoons: Leveraging Big Data for App Optimization and Monetization

Google Cloud Platform

Technology Category	Analytics & Modeling - Big Data Analytics Cybersecurity & Privacy - Identity & Authentication Management
Applicable Industries	Cement Equipment & Machinery
Applicable Functions	Sales & Marketing
Use Cases	Behavior & Emotion Tracking Livestock Monitoring
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	Bending Spoons, a Milan-based app developer, was faced with the challenge of standing out in a saturated marketplace where hundreds of apps often offer similar functionalities. The company needed to make data-driven decisions to identify the best apps to develop and optimize them for user experience. Their business model, built around auto-renewable subscriptions and in-app purchases, required a deep understanding of user behavior. However, to make these data-driven choices and grow the business, Bending Spoons needed to analyze large volumes of data very quickly. They were looking for a powerful data storage and analysis system that didn't require specialist technical support. Additionally, as a start-up, they wanted to grow quickly without investing too much in operations and infrastructure, but also needed the capacity to expand rapidly once the business grew. Read More
About Customer	Bending Spoons is a technology company based in Italy, responsible for over 20 popular apps. The company focuses on delivering an excellent user experience with a data-driven approach. Their portfolio includes the popular app, 30 Day Fitness, and in total, their apps have been downloaded 120 million times. Bending Spoons' business model is built around auto-renewable subscriptions and in-app purchases, with a little advertising revenue. The company uses data science to make decisions about which apps to develop based on potential market reach and monetization possibilities. Read More
Solution	Bending Spoons implemented BigQuery on Google Cloud to provide the analytics power for its internal data tools. This allowed them to analyze usage data and in-app events using their internal Pico tool. They collected data points from advertising platforms and app stores, and used BigQuery to perform hundreds of thousands of queries with this data daily. BigQuery enabled them to aggregate the raw data by segment or type of user and carry out complex queries across these segments. They also used Google Cloud to host some of their apps with Compute Engine and App Engine, and started using Kubernetes Engine to run certain data tasks. Another internal tool connected to BigQuery, called Crystal, collected hundreds of millions of data points from their own apps as well as a lot of external sources, every day, and then fed them to a number of models they've created, doing most of the computational heavy lifting for them. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Cybersecurity & Privacy - Identity & Authentication Management

Applicable Industries

Cement

Equipment & Machinery

Applicable Functions

Sales & Marketing

Use Cases

Behavior & Emotion Tracking

Livestock Monitoring

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

Bending Spoons, a Milan-based app developer, was faced with the challenge of standing out in a saturated marketplace where hundreds of apps often offer similar functionalities. The company needed to make data-driven decisions to identify the best apps to develop and optimize them for user experience. Their business model, built around auto-renewable subscriptions and in-app purchases, required a deep understanding of user behavior. However, to make these data-driven choices and grow the business, Bending Spoons needed to analyze large volumes of data very quickly. They were looking for a powerful data storage and analysis system that didn't require specialist technical support. Additionally, as a start-up, they wanted to grow quickly without investing too much in operations and infrastructure, but also needed the capacity to expand rapidly once the business grew.

About Customer

Bending Spoons is a technology company based in Italy, responsible for over 20 popular apps. The company focuses on delivering an excellent user experience with a data-driven approach. Their portfolio includes the popular app, 30 Day Fitness, and in total, their apps have been downloaded 120 million times. Bending Spoons' business model is built around auto-renewable subscriptions and in-app purchases, with a little advertising revenue. The company uses data science to make decisions about which apps to develop based on potential market reach and monetization possibilities.

Solution

Bending Spoons implemented BigQuery on Google Cloud to provide the analytics power for its internal data tools. This allowed them to analyze usage data and in-app events using their internal Pico tool. They collected data points from advertising platforms and app stores, and used BigQuery to perform hundreds of thousands of queries with this data daily. BigQuery enabled them to aggregate the raw data by segment or type of user and carry out complex queries across these segments. They also used Google Cloud to host some of their apps with Compute Engine and App Engine, and started using Kubernetes Engine to run certain data tasks. Another internal tool connected to BigQuery, called Crystal, collected hundreds of millions of data points from their own apps as well as a lot of external sources, every day, and then fed them to a number of models they've created, doing most of the computational heavy lifting for them.

Impact #1	The implementation of BigQuery on Google Cloud has allowed Bending Spoons to make data-driven decisions quickly and efficiently. They have been able to analyze large volumes of data, providing complex data insights with queries by segment. This has helped them to optimize their apps for user experience and monetization. The company has also been able to grow quickly with minimal upfront financial investment, thanks to the easy scaling capabilities of Google Cloud. Furthermore, the use of BigQuery and their internal tool, Crystal, has provided transparency on the app market, helping them to track the performance of their own apps, identify opportunities for growth, and have an insightful view of trends and competition.

Impact #1

The implementation of BigQuery on Google Cloud has allowed Bending Spoons to make data-driven decisions quickly and efficiently. They have been able to analyze large volumes of data, providing complex data insights with queries by segment. This has helped them to optimize their apps for user experience and monetization. The company has also been able to grow quickly with minimal upfront financial investment, thanks to the easy scaling capabilities of Google Cloud. Furthermore, the use of BigQuery and their internal tool, Crystal, has provided transparency on the app market, helping them to track the performance of their own apps, identify opportunities for growth, and have an insightful view of trends and competition.

Benefit #1	Bending Spoons' apps have been downloaded 120 million times.
Benefit #2	The company performs hundreds of thousands of queries daily with BigQuery.
Benefit #3	The company collects and aggregates hundreds of thousands of daily events.

Benefit #1

Bending Spoons' apps have been downloaded 120 million times.

Benefit #2

The company performs hundreds of thousands of queries daily with BigQuery.

Benefit #3

The company collects and aggregates hundreds of thousands of daily events.

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Overview

Bending Spoons: Leveraging Big Data for App Optimization and Monetization

Operational Impact

Quantitative Benefit