Data & Optimization
Marketing informs the product. The product improves the marketing. Repeat.
That's the loop. It doesn't run on its own. The data lives in pieces. Ad platforms here, analytics there, CRM somewhere else, none of it speaking the same language.
We build the infrastructure that connects it. Then we use it.
- Data warehousing and pipelines
- Attribution modeling
- Performance dashboards and reporting
- Marketing mix modeling
- Insight generation and recommendations
Data is everywhere. Insight is rare. The bottleneck is almost never "more reports." It's the connection between the report and the action that follows.
We don't deliver insights and leave. We translate them into the changes that move numbers, because our team is also the team making the changes.
select work
questions we get asked
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If it's a good question, maybe we'll feature it here in the future.
A working definition: marketing performance data feeds back into how the digital product is built and tuned, and product performance data feeds back into how the marketing runs. Most organizations talk about it but few have the infrastructure or the team structure to do it. We do both halves.
GA4, Looker Studio, BigQuery, Snowflake, Segment, the major ad platforms, and the CRMs we listed on the CRM page. We build to your stack rather than against it. If a platform change is the right call, we'll say so.
Usually take over. Rebuilds are expensive and rarely necessary. We get more out of what you already have first, then make targeted changes where they pay back.