Digital Marketing Unlocked
Building Materials Company
Global
The marketing teams at a global building materials company relied heavily on Google Analytics and Looker Studio to measure performance across multiple brands. While these tools provided basic reporting, they lacked the integration and depth of insight needed to understand customer engagement at scale.
Campaign reporting was siloed, difficult to compare across channels, and too static to guide timely decision-making. The team needed a solution that could unify their marketing data, provide flexible and dynamic reporting, and give them a stronger foundation for data-driven growth.
InsyteGroup was brought in to deliver a comprehensive reporting transformation. Our first priority was to unify key data sources, including HubSpot, Salesforce, and campaign analytics, into a Power BI environment that could provide a single, consistent view of marketing performance.
Working closely with both the Digital Marketing and Data Engineering teams, we unified marketing and customer data, built dynamic Power BI dashboards with drill-down by brand, region, and channel, and advised on long-term data architecture and governance.
Throughout delivery, our team embedded with the client to ensure alignment between business objectives and technical implementation. We also provided coaching and best-practice guidance, giving the internal teams the confidence to manage their own Power BI solution going forward.
For the first time, the client had real-time, actionable insights into campaign performance across their diverse portfolio. The transformation delivered clear, trusted reporting (one source of truth for marketing performance), smarter decision-making (the ability to adapt campaigns quickly based on live data), and stronger engagement (better understanding of how customers interacted with each brand and channel).
By modernising their data architecture and empowering internal teams, the company is now positioned to build on these insights and drive stronger customer experiences through data-driven marketing.
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