About
At Avenue Z, the performance team wanted to deliver analytics as part of the service, not as an extra spreadsheet project for every client. But once you try to connect Shopify, TikTok Shop, marketplaces, paid channels, and lifecycle, the numbers stop lining up and “reporting” turns into reconciliation.
SourceMedium gave them a baseline they could ship: consistent definitions, consistent drill-down, and a white-labeled dashboard program the agency could roll out without rebuilding the reporting each time.
Avenue Z is a performance marketing agency serving modern commerce brands across DTC and marketplaces, including TikTok Shop. They manage paid, creative, and lifecycle programs.
The challenge
- Numbers drifted once clients added Shopify + TikTok Shop + marketplaces + paid + lifecycle
- Budget, creative, and lifecycle decisions depended on a baseline everyone could defend
- Per-client reconciliation didn’t scale, making “analytics as a product” hard to deliver consistently
Reporting breaks down when you try to connect:
- Shopify + TikTok Shop + marketplaces
- Paid social + paid search
- Email + SMS
At the agency level, that fragmentation turns into a delivery problem. If every client needs a custom reconciliation workflow, “analytics as a product” doesn’t scale. Teams burn time pulling exports, aligning definitions, and arguing about which number is right instead of making calls on budget, creative, and lifecycle.
The solution
- One definition set and drill-down that held up across channels and clients
- White-labeled Looker Studio dashboards as the delivery layer, not a one-off spreadsheet workflow
- A repeatable onboarding workflow so adding a new client wasn’t a rebuild
Avenue Z used SourceMedium as the data foundation behind a white-labeled Looker Studio dashboard program for clients.
The intent wasn’t “more charts.” It was a repeatable reporting baseline the agency could use to:
- Answer client questions without rebuilding logic in spreadsheets
- Compare performance across Shopify, TikTok Shop, paid channels, and lifecycle messaging using the same definitions
- Drill down (channel, cohort, customer type) when the top-line number didn’t make sense
That combination let Avenue Z deliver a differentiated analytics experience while keeping the underlying measurement consistent.
What changed
- Decision enabled: Teams could make budget and channel decisions across Shopify + TikTok Shop + paid + lifecycle using one baseline.
- How they validated it: A shared definition set and consistent drill-down reduced “dashboard math” and spreadsheet reconciliation.
- What got faster: Onboarding a new client into reporting, and answering ad hoc questions without rebuilding logic.
The results
-
White-labeled Looker Studio dashboards shipped
Avenue Z delivered a client-facing dashboard program that could be branded and deployed without rebuilding the underlying reporting logic each time. -
Omnichannel baseline across Shopify, TikTok Shop, paid, and lifecycle
Operators got one operational view of performance instead of stitching together exports from multiple platforms. -
Agency delivery scaled without per-client rebuilds
A repeatable foundation made it easier to support more clients without turning reporting into a bespoke project.
