Case Study: Dotmatics optimizes marketing campaign allocations with Discern

A Discern Case Study

Preview of the Dotmatics Case Study

Dotmatics Optimizes Marketing Campaign Allocations

Dotmatics, a Boston-based SaaS company specializing in biologics R&D software, faced a challenge in optimizing its marketing due to decentralized campaign platforms like Pardot and Google Ads. Their Marketing Operations team found it difficult to automate analytics, track campaign spend efficiently, and monitor lead conversion in real-time, hindering their ability to make informed decisions on marketing allocations.

To solve this, Dotmatics implemented Discern to consolidate all marketing data into a single platform. Using Discern, the team gained real-time visibility into MQL and pipeline performance against targets, enabling them to pivot spend to the highest converting programs. The solution saved them hours each month in data compilation and reporting while providing confidence in the accuracy of their campaign and lead data.


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Dotmatics

Sarah Walsh

Marketing Operations


Discern

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