
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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Everything Avia senses, next to what your stores actually sold.
Bring Avia into Polar with your CS team.
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.
Tell Polar you use Avia ~1 min
Map stores to your POS ~2 min
See it in your reports the payoff
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.
Foot traffic in. A real store funnel out.

Avia
Polar
The per-store scorecard that reads like a funnel.
Scheduled automation
No AI neededUse 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
DynamicGive 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.
More Polar + Avia use cases
Daily store scorecard
Yesterday's visits, conversion rate, AOV and revenue for every location, in your inbox before doors open.
See the use case ›Use case 02Traffic-but-no-sales watch
Spot stores where footfall is high and conversion is low, the clearest signal to coach the floor or fix the layout.
See the use case ›Use case 03Staffing from the forecast
Plan shifts and hours against Avia's traffic forecast and each store's real peak hours, not a static rota.
See the use case ›Use case 04Online vs in-store contribution
How much of Net Sales each channel drives this month, with AOV and conversion side by side.
See the use case ›Use case 05Store league table
Rank every location by revenue per visitor and conversion rate to see who is really pulling their weight.
See the use case ›Use case 06New store ramp
Track a new location's traffic and conversion week over week against your fleet average.
See the use case ›