Marketing Analytics SaaS
Senior engineer and advisor to a marketing analytics company during a multi-year growth period. Helped them figure out how to track which ads actually worked, across all the major ad platforms.
- Client
- Anonymous (martech SaaS)
- Engagement
- Engineering advisory + scaling support
Photo by Atlantic Ambience on Pexels
What it does
A marketing analytics company that pulls campaign data from the major ad platforms, figures out which ads actually led to sales, and shows it all in one dashboard. The hard part isn't the dashboard — it's the work behind the scenes to get clean numbers in the first place, and figuring out which ad actually deserves the credit for a sale.
What we helped with
Senior engineering advice on how to bring the data together, how to figure out which ads worked, and how to connect to Meta, Google, TikTok, and other ad platforms. We helped the team grow and the system handle more work over several years.
Why this matters for the work we do now
Marketing data is messy. The same sale can show up three times in three different ad platforms under different names. Pretending otherwise is how analytics tools end up lying to the people running the business. Cleaning that up at the foundation — not just on the dashboard — is the difference between a tool you trust and a tool you ignore.
The same careful approach to clean data is what makes our AI summary work possible. A weekly summary that gets one number wrong is worse than no summary at all.