Custom omnichannel performance dashboards for agencies and brands: one view across Amazon, Google, Meta, and retail media, with client-level access controls.
Dashboards that nobody opens twice
Most dashboard projects fail for reasons that have nothing to do with charts. They query platform APIs live, so they take twenty seconds to load and get abandoned. They show forty metrics because nobody would decide which eight mattered. They disagree with the platform UI and lose credibility permanently on the first check. And they answer a question the viewer was not asking, because they were designed around available fields rather than around a decision.
What we build
- A dashboard architecture designed per audience: client, account manager, and leadership see different things
- Warehouse-backed models sized so views load in under a second, not on live API calls
- Cross-channel comparison with metrics normalized so a like-for-like read is genuinely like-for-like
- Row-level security and multi-tenant access for client-facing deployment
- White-label styling so a client-facing dashboard carries your brand
- Scheduled PDF and email delivery for the stakeholders who will never log in
How we work
Start from the decisions each audience makes, then work back to the metrics that inform them
Model and test those metrics in dbt so every dashboard reads the same definitions
Ship one audience end to end, validate against platform UI, and get real usage before expanding
Roll out remaining audiences and hand over the models and styling
Typical stack
Frequently asked questions
Because platforms restate attributed conversions for days after the fact and each one attributes differently. We reconcile to platform figures within a documented tolerance and show the as-of timestamp on every view, so a small variance is explained rather than treated as a bug.
Yes. Row-level security scopes every query to that client's accounts, so one deployment serves all of them without any risk of cross-client visibility. This is the standard setup for agency use.
Fewer than most teams start with. Three well-scoped views, one per audience, get used. Fifteen overlapping ones get ignored and then quietly maintained forever. We would rather cut scope than ship a dashboard nobody opens.
Yes. We build in your BI tool rather than a bespoke frontend precisely so your analysts can change a chart without an engineering ticket. The models underneath are version-controlled dbt SQL.
Go deeper
Design a dashboard people use
Tell us who the viewers are and what they decide, and we will come back with the view structure and the data behind it.
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