Our client is a fast-growing marketing technology scale-up that was on an aggressive expansion spree after proving its product-market fit. Their flagship offering, a marketing intelligence & automation software, had gained traction among multi-location businesses that required promotions tailored to national and regional preferences. The client operated on a software-plus-support model through which they helped businesses create, track, and optimize localized marketing campaigns across search, social media, and third-party websites.
The client’s marketing platform relied on multiple APIs to fetch live data from diverse web sources such as Google ads, Facebook, and Instagram. But the reliability of these APIs were put to test when the platform expanded to new customers. The company was transitioning from its initial growth phase to industrial growth, an ideal time to modernize its platform for high-velocity digital environments.
As the user count exploded and concurrent marketing campaigns multiplied, two critical DataOps areas required attention: Data Ingestion and Data Observability. In essence, the scale-up sought to ensure the following
Data flows correctly into the platform
Data is displayed correctly on the platform
Trigent proposed two fixes to resolve the challenges. First, a data ingestion monitoring layer that would automatically check for API health, completeness, accuracy, and timeliness of the data.
Second, a data observability layer that would provide end-to-end visibility of the data system behavior across ingestion, transformation, and serving – so issues can be detected proactively and solved before they impact customer experience.
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