Loads in under a second
Warehouse-backed models, not live API calls.
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Performance dashboards
Omnichannel performance dashboards, built on one source of truth.
One place where every channel, account and client sits side by side, and the numbers agree. We design and build dashboards on top of a modeled warehouse, so the view loads fast, holds full history and does not need an analyst to interpret it.
- Cross-channel view
- Row-level access
- Loads in seconds from your warehouse
What you get
Dashboards people open twice.
A view per audience
Client, account manager and leadership each see what they decide on.
Client logins, safely
Row-level security across one deployment.
For people who never log in
Scheduled PDF and email delivery.
The problem
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
What's included.
- 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
How we run it.
Step 1
Start from the decisions each audience makes, then work back to the metrics that inform them
Step 2
Model and test those metrics in dbt, so every dashboard reads the same definitions
Step 3
Ship one audience end to end, validate against the platform UI, and get real usage before expanding
Step 4
Roll out the remaining audiences and hand over the models and styling
What we use
Tools, platforms and methods.
- Looker Studio
- Power BI
- Metabase
- Tableau
- dbt
- Snowflake
- BigQuery
Related work
Projects we've delivered.
50+ campaigns, one dashboard
BTR Media
We built ETL pipelines into one data model and one dashboard for Amazon, Walmart and Instacart campaigns.
Read the case study
25% less reporting time
Mau Brands
We built Mau Brands' Amazon analytics platform: sales, inventory, ads and pricing in one view.
Read the case study
120+ automations live
Tinuiti
We rebuilt the ETL, warehouse and automation layer across Amazon, Walmart, TikTok, Instacart and Criteo.
Read the case studyFAQ
Common questions.
Why will these numbers differ slightly from the platform UI?
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.
Can each client have their own login?
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.
How many dashboards should we actually have?
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.
Can our team edit the dashboards after handover?
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.
Related
Related services.
Agency reporting automation
White-label client reports across Amazon, Walmart, Google, Meta and TikTok, built automatically.
Learn morePacing & anomaly detection
Pacing projected to month end and anomaly alerts routed to the account owner.
Learn moreAd analytics & BI
Governed metrics, client-ready dashboards, pacing alerts and measurement.
Learn moreDesign 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.