About
At WishingUWell, the team wanted to give Amazon operators a reporting baseline they could actually run the business on. But Amazon performance data lives in too many consoles, and teams waste time pulling exports and debating which “sales” or “spend” number is the right one.
SourceMedium gave WuW one view they could ship to clients: a consistent, white-labeled reporting layer across Seller Central, Amazon Ads, and Amazon DSP without rebuilding the logic each cycle.
WishingUWell is an Amazon-focused eCommerce agency serving operators across Seller Central, Amazon Ads, and Amazon DSP.
The challenge
- Data fragmented across Seller Central, Ads, and DSP
- Decisions on spend, DSP performance, and catalog changes depended on consistent definitions
- Manual pulls and console-by-console comparisons didn’t scale across multiple clients
Amazon performance data is fragmented across multiple consoles. Even when the numbers exist, it’s difficult to analyze them consistently across brands and over time.
For an agency, that becomes a delivery bottleneck:
- Reporting turns into manual pulls from Seller Central, Ads, and DSP
- Definitions drift across clients (“what counts as spend?”, “which sales number are we using?”)
- Answering basic questions takes too long, especially when the question requires connecting ads, sales, and catalog changes
Matt Bahr, WuW’s VP of Innovation, summarized the problem simply: a dynamic marketplace requires complete data to make decisions, and agencies need a way to operationalize that for clients.
The solution
- Standardized definitions and drill-down across Seller Central, Ads, and DSP
- White-labeled Looker Studio dashboards as the delivery layer to clients
- A repeatable reporting workflow that reduced manual pulls every cycle
WuW used SourceMedium as the data foundation behind a white-labeled Looker Studio dashboard program for clients.
The goal wasn’t “more dashboards.” It was a repeatable view that WuW could use to support decisions across:
- Advertising (Amazon Ads + DSP)
- Sales and share (Seller Central)
- Catalog and merchandising changes
With a consistent baseline, the agency could answer client questions faster and reduce the amount of manual reporting work required each cycle.
WuW started by rolling this reporting package out to a subset of clients first, then expanding as the team standardized the workflow.
What changed
- Decision enabled: Teams could make Amazon spend, DSP, and catalog decisions using one baseline across clients.
- How they validated it: Standardized definitions and drill-down reduced console-by-console comparisons.
- What got faster: Recurring reporting and client Q&A without manual pulls for every question.
The results
-
Amazon reporting consolidated (Seller Central + Ads + DSP)
Operators got one operational view instead of stitching together multiple Amazon consoles. -
White-labeled dashboard program delivered to clients
WuW could ship a branded Looker Studio reporting layer as part of their service. -
Repeatable reporting package (less manual work per cycle)
Standardized workflows reduced the internal burden of pulling and assembling data each reporting cadence.
