Avia integration

Avia in Polar: your stores, measured like your website.

In-store foot traffic, visits and indoor performance from Avia, pulled into Polar and joined to your Shopify POS sales. Every location reads like an online funnel: traffic, conversion rate, AOV and revenue per visitor, blended with your DTC on one P&L.

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Google Sheets → Polar

Everything Avia senses, next to what your stores actually sold.

Foot traffic and visits from Avia, orders and revenue from Shopify POS, joined by location. One row per store, refreshed automatically.
Foot Traffic & Visits
“How many people actually walked into each store?”
Store visits, footfall and unique visitors from Avia's in-store sensing, per location and refreshed on every sync.
visits & footfall by store
In-Store Conversion
“How many of those visits turned into sales?”
Polar divides Shopify POS orders by Avia visits to give a real in-store conversion rate per location, the number physical retail almost never sees.
POS orders / Avia visits
Revenue per Visitor & AOV
“What is each visit worth in this store?”
Revenue per visitor and AOV by location, so you compare stores on value created per person through the door, not just total sales.
revenue per visitor by store
Indoor Performance & Peak Hours
“When is this store actually busy?”
Traffic by hour and day of week from Avia, so you see the peaks and lulls behind a store's daily total.
traffic by hour / day
Traffic Forecast
“How busy will next week be?”
Avia's foot-traffic forecast lands next to your Polar dashboards, so you can plan staffing and hours against expected demand, not last month's guess.
forecast for staffing
Blended Context
“What are stores worth next to online?”
Each location sits in the same blended view as your DTC site, on Net Sales, AOV and contribution, so online and in-store finally read on one P&L.
in-store share of blended sales
Setup Guide

Bring Avia into Polar with your CS team.

A Polar account with Shopify and Shopify POS connected, Avia sensing live in your stores, and one setup with your Polar solution engineer. Avia is a custom integration, and Polar backfills your store history automatically.

A Polar account with Shopify POS

Avia plugs in next to your store sales, so foot traffic meets POS revenue automatically, by location.

Connect your data →

Avia sensing live in your stores

You need Avia's foot-traffic sensing installed and reporting in the locations you want to measure. That is the visit and footfall data Polar joins to your sales.

One setup with your Polar team

Avia is a custom integration wired up by a Polar solution engineer. No sensors to reconfigure, no CSV exports, no data team required.

1

Tell Polar you use Avia ~1 min

Flag it to your CS or solution engineer.
Avia is a custom integration. Let your Polar customer success manager or solution engineer know you run Avia in your stores, and they set up the connection to your tenant.
Talk to Polar
2

Map stores to your POS ~2 min

Match Avia locations to Shopify POS.
1
Polar lines up each Avia location with the matching Shopify POS store, so visits and sales meet on the same row.
2
Polar backfills your history and keeps syncing, so store trends are there from day one.
Best practice: confirm store names match between Avia and Shopify POS, so no location is double-counted or missed.
3

See it in your reports the payoff

Foot traffic meets revenue, per store.
Every location now reads like an online funnel: visits, conversion rate, AOV and revenue, blended with your DTC across dashboards, reports and every Ask Polar answer.
Get started

Make your stores as measurable as your website.

Connect once and every dashboard, report and AI answer reads in-store foot traffic and conversion next to your online funnel.

The Gap

Foot traffic in. A real store funnel out.

Avia pours store visits, footfall and indoor performance into Polar. Polar joins them to your Shopify POS orders so every location reads like an online funnel: traffic, conversion rate, AOV and revenue, blended with your DTC.

Avia

visits, footfall, indoor traffic
Polar

Polar

Featured Use Case

The per-store scorecard that reads like a funnel.

Every morning, a rule or an agent reviews yesterday's foot traffic and POS sales by location and hands your team the visits, conversion rate, AOV and revenue for each store, before anyone walks the floor.
Daily store scorecard● 7:00am, every day
Store
Visits
CVR
AOV
Revenue
Greenwich Village
412
19%
$96
$7,540
SoHo
688
8%
$71
$3,910
Williamsburg
295
13%
$84
$3,220
Written by an AI agent every morning, foot traffic joined to POS sales.

Scheduled automation

No AI needed

Use Polar Automations to run a rule every morning: compute visits, conversion rate, AOV and revenue per store, flag any location below your conversion floor, and send it to Slack or email.

AI agent

Dynamic

Give an agent the Polar MCP. Ask it to monitor each store like an online funnel, rank locations by conversion and revenue per visitor, and draft the watch / coach / celebrate call with the reasoning.

Other Use Cases

More Polar + Avia use cases

What teams run once in-store foot traffic is joined to POS sales in Polar.
Your Prompt Library

15 prompts a connected Avia unlocks.

In-store conversion, revenue per visitor, staffing from the forecast, online vs in-store. Once Avia is joined to your POS in Polar, ask in plain language.
Type
Audience
15 of 15
Get started · connect once · stays in sync

Your website is measured. Now your stores are too.

Physical retail runs blind on total sales alone, with no idea how many people walked in or converted. Connect Avia to Polar and every dashboard, report and AI answer reads foot traffic, conversion rate, AOV and revenue per visitor for each store, blended with your online funnel on one P&L.

Phase 1 ~5 minConnect your data in PolarConnect Shopify and Shopify POS. Polar's semantic layer turns it into governed, blended metrics.
Phase 2 ~2 minAdd Avia with your CS teamA Polar solution engineer wires up the Avia custom integration and maps stores. Polar backfills your history.
Phase 3 the payoffUse it everywhereAvia powers in-store conversion, revenue per visitor and blended contribution across dashboards, reports and AI answers, always in sync.