P02 ANALYTICS / E-COMMERCE

More than numbers.
The whole picture.

Sales, advertising and inventory in one view for a water-treatment equipment retailer.

INTERFACE RECONSTRUCTIONUI / DEMO
01 / THE CONTEXT

The same business. Different answers..

Before

Revenue lived in accounting, ad spend in advertising accounts and leads in the CRM. Weekly reporting meant exporting, matching and explaining why the totals disagreed.

After

A shared data model reconciles orders, returns, delivery and channel costs. The dashboard explains where a number comes from, with scheduled reports for the owner.

ERPOrders & returns
+
ADSChannel costs
+
CRMLead sources
=
ONE VIEWReconciled definitions
The detail that matters

First, agree on
what the numbers mean.

The important design decision wasn’t the chart. It was agreeing on what counts as revenue, when an order is complete, and how returns affect margin.

02 / INTERACTIVE DEMO

Change the period. See the picture..

Switch between reporting periods. The chart and totals update together; export the underlying synthetic data as CSV.

clairyx / analytics / demo LOCAL
Revenue
₴482,100SAMPLE DATA
Period startPeriod end
Orders778
Gross margin31.4%
Avg. order₴620
Acquisition channels
Google Ads
38%
Organic
27%
Instagram
18%
Telegram
11%
Direct
6%
Top products Revenue / UAH
Aqua Pro filter184,200
Cartridge · 10 pack121,440
Pressure pump96,810

Demo environment. All names, figures and actions here are synthetic and local to this page.

03 / WHAT CHANGED

A better way
to work.

01

Comparable periods and channels

02

One definition for each metric

03

Scheduled reporting instead of exports

Anonymized studio case descriptions. Interface previews are reconstructed with synthetic data.

LET’S BUILD WHAT’S NEXT.

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