Google Cloud Platform Case Studies AB Tasty: Enhancing Conversion Rates through Data-Driven Decisions with Google Cloud

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	AB Tasty: Enhancing Conversion Rates through Data-Driven Decisions with Google Cloud Google Cloud Platform

AB Tasty: Enhancing Conversion Rates through Data-Driven Decisions with Google Cloud

Google Cloud Platform

Technology Category	Analytics & Modeling - Machine Learning Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries	Buildings Oil & Gas
Applicable Functions	Quality Assurance
Use Cases	Real-Time Location System (RTLS) Time Sensitive Networking
Services	Cloud Planning, Design & Implementation Services System Integration
Challenge	AB Tasty, a global company with seven offices worldwide, provides an all-in-one website optimization platform that enables its clients to make data-driven decisions to improve conversion rates. The company processes over 17 billion visitors and two billion events daily. An event is a message that corresponds to an action carried out by a visitor on a website, such as a click. However, AB Tasty's previous data architecture, hosted in the cloud with another provider, was not able to deliver the performance necessary for processing the two billion events that AB Tasty handles every day. The company reached a limit of one billion events a day and couldn't move above that, despite various attempts. The challenge was to find a solution that would enable them to scale up the storage volume and processing power while reducing the response time for queries. Read More
About Customer	AB Tasty is a France-based technology company that offers an all-in-one website optimization platform. The platform enables clients to understand their customer's journey through integrated user insight tools, test different website variations, engage their audience, personalize the on-site experience, and analyze the results. The company has grown since 2009 to become a global company with seven offices worldwide, processing over 17 billion visitors over that time. AB Tasty's platform adheres to relevant regulatory compliance guidelines and processes two billion events daily, which are actions carried out by a visitor on a website. Read More
Solution	AB Tasty partnered with Google Cloud Partner SFEIR to build its data pipeline on Google Cloud. The data migration was done in two phases: first the data collection part, then the data analysis part. The entire process took 10 months with zero downtime. AB Tasty now stores raw data in Cloud Storage, aggregated by user session. They use Cloud Dataflow for both batch processing with Cloud SQL and streaming with Cloud Pub/Sub. The data feeds into BigQuery, where they can query across every user session of every client, amounting to 25 million user sessions a day. The company also set a goal of 50 milliseconds as an event response time, which they surpassed, achieving an average response time of around 30 milliseconds. This improvement allows them to offer an improved service to their customers in terms of processing data in close to real-time. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Infrastructure as a Service (IaaS) - Cloud Storage Services

Applicable Industries

Buildings

Oil & Gas

Applicable Functions

Quality Assurance

Use Cases

Real-Time Location System (RTLS)

Time Sensitive Networking

Services

Cloud Planning, Design & Implementation Services

System Integration

Challenge

AB Tasty, a global company with seven offices worldwide, provides an all-in-one website optimization platform that enables its clients to make data-driven decisions to improve conversion rates. The company processes over 17 billion visitors and two billion events daily. An event is a message that corresponds to an action carried out by a visitor on a website, such as a click. However, AB Tasty's previous data architecture, hosted in the cloud with another provider, was not able to deliver the performance necessary for processing the two billion events that AB Tasty handles every day. The company reached a limit of one billion events a day and couldn't move above that, despite various attempts. The challenge was to find a solution that would enable them to scale up the storage volume and processing power while reducing the response time for queries.

About Customer

AB Tasty is a France-based technology company that offers an all-in-one website optimization platform. The platform enables clients to understand their customer's journey through integrated user insight tools, test different website variations, engage their audience, personalize the on-site experience, and analyze the results. The company has grown since 2009 to become a global company with seven offices worldwide, processing over 17 billion visitors over that time. AB Tasty's platform adheres to relevant regulatory compliance guidelines and processes two billion events daily, which are actions carried out by a visitor on a website.

Solution

AB Tasty partnered with Google Cloud Partner SFEIR to build its data pipeline on Google Cloud. The data migration was done in two phases: first the data collection part, then the data analysis part. The entire process took 10 months with zero downtime. AB Tasty now stores raw data in Cloud Storage, aggregated by user session. They use Cloud Dataflow for both batch processing with Cloud SQL and streaming with Cloud Pub/Sub. The data feeds into BigQuery, where they can query across every user session of every client, amounting to 25 million user sessions a day. The company also set a goal of 50 milliseconds as an event response time, which they surpassed, achieving an average response time of around 30 milliseconds. This improvement allows them to offer an improved service to their customers in terms of processing data in close to real-time.

Impact #1	Since migrating to Google Cloud, AB Tasty has been able to handle 2 billion events every day, providing new insights and correlations for better decision-making and increased revenue for its customers. The company's new data architecture allows its clients to query data directly via BigQuery, adding extra value to the data offered. Clients can either construct reports by default or explore their own data. With the new data pipeline and warehouse, AB Tasty is planning to expand its markets in America and Southeast Asia. The company is also exploring how its platform could be enhanced with Machine Learning to develop new algorithms that will simplify the task for its clients even further.

Impact #1

Since migrating to Google Cloud, AB Tasty has been able to handle 2 billion events every day, providing new insights and correlations for better decision-making and increased revenue for its customers. The company's new data architecture allows its clients to query data directly via BigQuery, adding extra value to the data offered. Clients can either construct reports by default or explore their own data. With the new data pipeline and warehouse, AB Tasty is planning to expand its markets in America and Southeast Asia. The company is also exploring how its platform could be enhanced with Machine Learning to develop new algorithms that will simplify the task for its clients even further.

Benefit #1	Processes two billion events a day with Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and Cloud SQL
Benefit #2	Provides flexible access to data analysis for customers with BigQuery
Benefit #3	Event response time reduced to 32 milliseconds

Benefit #1

Processes two billion events a day with Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and Cloud SQL

Benefit #2

Provides flexible access to data analysis for customers with BigQuery

Benefit #3

Event response time reduced to 32 milliseconds

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Overview

AB Tasty: Enhancing Conversion Rates through Data-Driven Decisions with Google Cloud

Operational Impact

Quantitative Benefit