Why Bark Chose Weavely to Scale Their Data Infrastructure

Bark needed a scalable, cost-efficient way to manage large volumes of marketing data. As they grew, they required reliable access to historical data, flexible pipelines, and a simpler way to manage API-heavy workflows.

Meet Alex Eisenhart

Alex is Head of Data at Bark, leading the agency’s data strategy, infrastructure, and reporting systems. His focus is on building scalable pipelines, enabling advanced reporting, and ensuring efficient access to high-quality data across the business.

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We ingest a lot of data and are heavy API users — so Weavely is a strong fit for us.

What changed

Bark didn’t just need a connector — they needed a scalable way to manage large volumes of data across multiple sources without increasing operational overhead.

Weavely provided a more efficient and flexible approach to handling API connections, making it easier to access historical data, manage refreshes, and ensure all required metrics were available for reporting.

The biggest improvement has been a significant reduction in time spent managing and fixing data synchronisation issues. With more reliable pipelines and broader datasets, the team can now focus on building more advanced, automated reports instead of maintaining infrastructure.

Practical impact

With Weavely in place, Bark’s data infrastructure has become more stable and scalable.

Reporting is now easier to maintain and expand, with consistent access to the data needed for their systems. The team can confidently build more sophisticated reporting without worrying about underlying data issues.

If Weavely were removed, a large part of their reporting capability would become significantly harder to maintain — highlighting how central it has become to their day-to-day operations.