AB Tasty: Enhancing Conversion Rates through Data-Driven Decisions with Google Cloud
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
About The 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.
The 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.
The 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.
Operational Impact
Quantitative Benefit
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