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Home/Data Engineering & Analytics/Ferndale Analytics
SaaS Case Study

Ferndale Analytics

A product analytics implementation that clarified feature usage patterns.

1.6xPage Load Speed
Ferndale Analytics digitallyscaled
ClientFerndale Analytics
IndustrySaaS / Software
Timeline7 weeks
ServicesData Engineering & Analytics
The Challenge

Where things stood before

When Ferndale Analytics first reached out, a product experience that couldn't keep pace with how quickly their team was shipping new features was the issue sitting at the top of their list.

It wasn't a small fix — the underlying structure needed to change, not just the surface.

The Solution

What we built

Our approach focused on the root cause rather than the most visible symptom.

What we ultimately delivered was a product analytics implementation that clarified feature usage patterns, built specifically around what Ferndale Analytics needed.

  • Tested thoroughly before launch to avoid post-launch surprises
  • Designed around Ferndale Analytics's actual workflow, not a generic template
  • Delivered within a 7-week timeline without cutting scope
  • Structured so Ferndale Analytics's own team could maintain it going forward
Results

The impact, by the numbers

1.6x
Page Load Speed
+37%
Trial-to-Paid Conversion
9
Team-Published Pages
95.8%
Uptime
Tech Stack

Built with

dbtSnowflakeAirflowLooker

“What stood out was how specific the work was to our actual situation, not a generic playbook. 1.6x page load speed within a few months, and that's held up months later.”

JS
Josephine Sinclair

COO, Ferndale Analytics

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