Use case · online stores
Your store has a rhythm. Analux learns it, and tells you when it breaks.
Weekends busy, Mondays slow. A gauge that knows your week can tell that apart from a problem.
Needs attention
Sat 12 SeptRevenue watch
Example store · every morning at 07:00
$7,252▼ 26% below a usual Saturday
Revenue is below its normal range for a Saturday. Every Saturday in the last six weeks was higher; weekdays at this level are ordinary, which is why a fixed alert would have missed it.
The metrics
The numbers a store lives by, watched properly.
Refund Rate
WatchEvery morning
Notice returns climbing while it is still a small number.
Use this templateMargin Watch
WatchEvery morning
Know when your margin slips, before the month closes.
Use this templateSales Performance
WatchEvery Monday
Understand which channel is behind a change in sales.
Use this templateRevenue Forecast
PredictEvery Monday
What next month looks like, with the uncertainty shown.
Use this templateWhat drove it
Not only that sales dropped. When, and where.
Dated
The new level began 1 September.
Split by channel
In store fell. Online held.
Example store · daily revenue · last 7 weeks$48,001 → $41,640
Actual Normal range Baseline Outside
- Level shift
- ▼ since 1 Sept
- New level
- $41,640 (was $48,001)
- Size
- 4.4σ
What drove it
In store−$6k · 92%
Online−$548 · 8%
Each channel against its own usual level.
Shopify
Synced 2h ago84,231 orders · 14 months
Stripe
Synced 2h ago61,904 payments · 14 months
Google Sheets
Synced 2h agoAd spend tracker · 3 tabs
Or upload a file: CSV, Excel or JSON.
Getting data in
Connect the store, or upload the export you already have.
Shopify
Orders, refunds and channel, synced every six hours.
Stripe and Paystack
Payments and refunds, with a read-only key.
Anything else
WooCommerce or your POS, as a CSV export.
Never your customers
Names, emails and addresses are never read.
Put a Watch on tomorrow morning's orders.
Free to start: two gauges, no card needed.