Building a powerful new ad analytics platform

Quetru is a young Dutch startup in the growth phase. Their product is a powerful business analytics platform that serves one of the biggest FMCG companies in the world.

Quetru is an advanced analytical tool that helps companies track and draw conclusions from customer behaviour to grow their audience, improve conversion, and deliver personalised content.

Shortly after successfully building an MVP and finding the product market fit, Quetru founders embarked on a mission to build a solid tech team around the product to fuel its future growth. That task was challenging as the company operates in a demanding AdTech industry that requires technical sophistication and domain knowledge of advertising and marketing.

Local recruitment proved to be difficult for a startup in Amsterdam. They started looking for a strong partner who specialised in Python and could provide both the technical leadership and development team that Quetru needed. Sunscrapers answered the call.

Technology

The main technical challenges were:

• Legacy codebase that didn’t match the growing requirements of the company.
• Hard-coded dependencies on the current client, preventing us from onboarding new ones.
• Non-scalable data gathering based on periodic execution of heavy tasks.
• Lack of comprehensive specification and documentation.

Apart from the main technical challenges, Sunscrapers had to build a development process that would allow Quetru to quickly deliver high-quality software, all the while letting us manage expectations in a multi-sided and fast-paced business environment.

We’ve started with a textbook implementation of Scrum. After fully understanding Quetru’s operating environment, we started evolving the process to fit the custom needs of Quetru and defining the best set of roles and responsibilities with the team. On the product side, we’ve built a faster and more flexible data aggregation platform (based on MongoDB), implemented numerous third-party integrations, and have significantly improved the scalability of microservices through refactoring. There are many more features and improvements on the way too!