Webclat / BI Practice
Webclat / BI Practice

See What Your Data Could Look Like

Every number on this page is synthetic. These are illustrative dashboards, built to show the shape of the work - not a client result, not a real company's revenue. What is real is the underlying question each one answers, and the tracking discipline it takes to answer it honestly.

Which channel actually drives revenue?
ILLUSTRATIVE - SYNTHETIC DATAREVENUE BY CHANNEL - TRAILING 90 DAYS$412,600Total Revenue, Trailing 90 DaysOrganic SearchTop Channel - 34% Of Revenue+8.2%Revenue vs Prior 90 Days$0$74,000$148,000$148KOrganic Search$98KPaid Search$68KEmail$59KPaid Social$40KDirect
What this tells you

Organic search is out-earning every paid channel over the trailing 90 days, and total revenue is trending up 8.2% period over period - the kind of read that changes a budget conversation.

What tracking feeds it

Consistent channel/UTM grouping at the event layer (see Google Tag Manager and GA4) joined to a revenue event that reconciles with the order system, not a pageview proxy.

Where do your customers drop off, step by step?
ILLUSTRATIVE - SYNTHETIC DATABEHAVIOR FUNNEL - WHERE CUSTOMERS DROP OFFSite Visit10,000 users - 100%Product View6,200 users - 62%-38% drop from prior stepAdd To Cart2,400 users - 24%-61% drop from prior stepCheckout Started1,400 users - 14%-42% drop from prior stepPurchase960 users - 10%-31% drop from prior step
What this tells you

The steepest loss sits between product view and add-to-cart - the middle of the funnel, not the top - which is where the fix usually differs from the assumption walking in.

What tracking feeds it

Event tracking through every funnel stage with one consistent user identity across the session, so a single visitor can be traced through each step rather than counted as five anonymous events.

Do your customers come back?
ILLUSTRATIVE - SYNTHETIC DATARETENTION COHORTS - DO CUSTOMERS COME BACKWeek 0Week 1Week 2Week 3Week 4Cohort - Wk of Jan 6100%41%28%22%18%Cohort - Wk of Jan 13100%44%31%24%20%Cohort - Wk of Jan 20100%47%33%27%-Cohort - Wk of Jan 27100%49%36%--Cohort - Wk of Feb 3100%52%---
What this tells you

Later signup cohorts retain slightly better week over week than earlier ones - a real signal that something changed in the product or onboarding, not just noise in small numbers.

What tracking feeds it

A stable user or account identifier tracked across sessions and time (Tealium or a comparable identity layer), so a return visit weeks later can be matched back to its original cohort.

What's the one number everyone in the room agrees on?
ILLUSTRATIVE - SYNTHETIC DATATHE NUMBER EVERYONE AGREES ON$1.42MTRAILING 12-MONTH REVENUE - ONE DEFINITION, EVERY TEAM8,412Active Customers$1,690Customer Lifetime Value3.1%Monthly Churn41 daysAvg. Sales Cycle
What this tells you

Trailing 12-month revenue, active customers, lifetime value, and churn - four numbers, one certified definition each, so no two teams walk into a meeting with different answers.

What tracking feeds it

A single semantic model with one dataset marked as the source of truth, sitting on reconciled event and transaction data rather than four teams' separate exports.

Frequently Asked Questions

Are these real client dashboards?

No. Every number shown is synthetic and illustrative, built to demonstrate the kind of question a dashboard should answer and the tracking discipline behind it - not a client result. Per house policy, we do not publish invented client case studies as if they were real.

Which BI tool were these built in?

These four are hand-built as static graphics to show the shape of the work independent of any one tool. The same four dashboard types - channel revenue, funnel, cohort retention, and an executive KPI view - are things we build natively in Power BI, Looker, or Tableau depending on your stack.

Can you build something like this for us?

Yes - that is the point of this page. Tell us which of these four questions matters most to your team right now and which tool you are on, and we will scope the real version against your own tracking.

Ready To See This With Your Own Numbers?

We start by checking whether your tracking can actually support the dashboard you want.

Talk To The Practice