Avia dashboard overview

A tour of every dashboard section: KPIs, demographics, heatmap, forecast, and daily table.

The Avia dashboard is your central view of store performance. It brings together foot traffic, sales, and operational data into a single screen.

Key metrics at a glance

At the top of the dashboard you'll see your primary KPIs for the selected date range:

Metric

What it shows

Unique Visitors

Individual people who entered the store (deduplicated; each person counted once per day)

Total Traffic

All entry events, including repeat entries by the same person

Conversion Rate

Transactions Γ· Unique Visitors Γ— 100

Average Order Value (AOV)

Total Sales Γ· Number of Transactions

Average Session Duration

Average time visitors spent in-store

Revenue per Visitor

Total Revenue Γ· Unique Visitors; how much each person who walks in is worth

You can toggle between Unique Visitors and Total Traffic at the top. This switch updates all metrics across the entire dashboard.

Info: Why deduplication matters: a staff member who walks in and out 10 times counts as 1 unique visitor but 10 in total traffic. Unique Visitors gives you a true read on customer conversion and dwell time.

Dashboard KPI section

Visitor demographics

Below the KPIs, you'll see a breakdown of visitors by gender and age group. This updates based on your selected date range and filters.

Visitor demographics breakdown

Traffic heatmap

A grid showing visitor volume by hour of day and day of week. Switch between:

  • Hourly view: precise traffic by hour

  • 4-hour bucket view: aligns with typical shift schedules (morning, afternoon, evening)

You can also switch the heatmap to show Conversion Rate or AOV by time slot, or a Combined View that overlays all three, useful for spotting high-traffic periods with low conversion, which often signals understaffing.

Traffic heatmap, hourly view
Hourly view
Traffic heatmap, 4-hour bucket view
4-hour bucket view

Traffic forecast

The 7-day forward forecast appears alongside the heatmap. It uses a linear regression model trained on your store's own history and requires at least 2 weeks of data to activate.

7-day traffic forecast

Daily performance table

At the bottom, a day-by-day breakdown using the sales decomposition formula: Sales = Traffic Γ— Conversion Rate Γ— AOV. Each row shows Gross Sales, Unique Visitors, Conversion Rate, and AOV for that day. When sales drop, this table tells you which lever changed: traffic, conversion, or basket size.

Daily performance table

Store comparison

Click Compare to view two stores (or store groups) side by side across all metrics. Useful for benchmarking locations or regional groups.

Store comparison view

Filters and date ranges

Use the date picker and store selector at the top to focus on a specific period or location. See Using date ranges & filters for full details.

Need help?

If the dashboard data does not look correct after checking the selected store, date range, and store opening hours, contact Avia support at avia.support@retailogists.com and include:

  • Store name

  • Selected date range

  • A screenshot of the dashboard

  • Which metric or section looks incorrect