RetailNext integration

RetailNext in Polar: in-store traffic, blended with your DTC.

Foot traffic, visitor counts, dwell time and in-store conversion from RetailNext, pulled into Polar per store and unified with your Shopify online data. See what happens in your physical stores next to online revenue on one omnichannel view, instead of a separate retail dashboard.

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Connect RetailNext See the setup
Google Sheets → Polar

What happens in your stores, next to what happens online.

Foot traffic and conversion from RetailNext, online orders and revenue from Shopify, blended by Polar. One omnichannel view, down to the location, refreshed automatically.
Foot Traffic
“How many people walked into each store yesterday?”
Visitor counts and foot traffic per location from RetailNext's TRAFFIC data, broken down by store and refreshed on every sync.
traffic by location
In-Store Conversion
“How much of that traffic actually bought?”
In-store conversion rate, transactions per visitor and average transaction value, so store performance shows up as more than a door count.
conversion rate by store
Dwell & Flow
“When are my stores busy, and for how long?”
Dwell time, peak hours and shopper-flow patterns, so staffing and merchandising decisions run on measured traffic instead of a gut feel.
dwell time & peak hours
Sales per Visitor
“What is each visitor worth in store?”
Sales per visitor tied to traffic, so a busy store and a productive store are finally two different numbers you can compare.
sales per visitor by location
Online vs In-Store
“How does online stack up against the shop floor?”
Store traffic and conversion sit next to Shopify sessions, orders and revenue, so you compare channels on the same page.
in-store vs online, side by side
Omnichannel Context
“What is true omnichannel performance?”
Physical stores join the same blended view as your DTC, so you read total demand across online and offline, not two silos.
store share of total demand
Setup Guide

Connect RetailNext in a couple of clicks.

A Polar account with Shopify connected, RetailNext account access for the locations you want to bring in, and one connection in Polar. Polar handles the pipeline, so there is no warehouse or SQL to manage.
01 · What you need

A Polar account with Shopify

RetailNext plugs in next to your store data so in-store traffic meets online revenue on one omnichannel view.

Connect your data →

RetailNext account access

You need account access to the RetailNext locations you want to bring in. Polar creates a connection per business, so multiple stores or brands can each have their own.

RetailNext →

One connection

A single connection in Polar with your connector timezone set. No manual exports, no data pipeline, no warehouse required.

02 · Connect it, the easy way
1

Add RetailNext from Connectors ~1 min

Sales Channels section, or search for it.
In Polar, open Connectors and find RetailNext (use the search bar if it's quicker). Click Connect to Polar Analytics.
Open Polar connectors
2

Add your RetailNext access and timezone ~2 min

Enter your credentials, then set the connector timezone.
1
Enter your RetailNext account access for the locations you want to bring in. Running several stores or brands? Polar supports a connection per business.
2
Set the connector timezone so in-store traffic lines up with your store hours and your online reporting. Then Save Configuration.
Best practice: match the connector timezone to the store's local time so peak hours and daily totals compare cleanly against Shopify.
3

See it in your reports the payoff

Store traffic meets online revenue, blended.
RetailNext flows into your omnichannel view, with foot traffic, in-store conversion and sales per visitor sitting next to Shopify online revenue, and into every Ask Polar answer, right beside your DTC.
Get started

Put store traffic next to online revenue.

Connect once and every dashboard, report and AI answer reads your in-store performance, blended with Shopify for true omnichannel visibility.

Book a demoConnect your data ↗
The Gap

Foot traffic in. Omnichannel view out.

RetailNext pours foot traffic, visitor counts, dwell time and in-store conversion into Polar, per location. Polar blends it with Shopify online orders and revenue, so you read stores and DTC on one omnichannel view instead of a separate RetailNext dashboard.

RetailNext

foot traffic, visitors, conversion
Polar

Polar

Featured Use Case

The omnichannel report that puts stores next to your DTC.

Every week, a rule or an agent lines up in-store traffic and conversion against Shopify online revenue on the same page, so you see how each store and your DTC are pulling before anyone opens RetailNext.
Omnichannel weekly● weekly, every Monday
Channel
Traffic
CVR
Revenue
Online – Shopify
48.2k
2.1%
$164k
Store – Flagship
9.4k
22%
$71k
Store – Mall
6.1k
11%
$22k
Built by an AI agent every week, in-store traffic blended with online revenue.

Scheduled automation

No AI needed

Use Polar Automations to run a rule every week: pull traffic and in-store conversion by location, line it up against Shopify online revenue, and send the omnichannel view to Slack or email.

AI agent

Dynamic

Give an agent the Polar MCP. Ask it to compare each store's traffic and conversion to your DTC, flag the location leaking traffic, and draft the merchandising or staffing call.

Dig deeper into this use case
Other Use Cases

More Polar + RetailNext use cases

What teams run once in-store traffic and conversion are blended with Shopify in Polar.
Use case 01

Omnichannel weekly report

In-store traffic and conversion next to Shopify online revenue, one view across every store and your DTC.

See the use case ›Use case 02

Store conversion league table

Which locations turn foot traffic into sales best, ranked by in-store conversion and sales per visitor.

See the use case ›Use case 03

Traffic vs revenue gap

Stores getting the footfall but not the sales, so you fix conversion where the demand already is.

See the use case ›Use case 04

Peak-hour staffing

Dwell time and peak hours by location, so shifts are sized to when shoppers actually show up.

See the use case ›Use case 05

Online-to-store halo

How online demand and store traffic move together by region, so channels get credit for each other.

See the use case ›Use case 06

Store contribution check

Each store's traffic, conversion and revenue against its cost, so the fleet is judged on real numbers.

See the use case ›
Your Prompt Library

15 prompts a connected RetailNext account unlocks.

Store traffic, in-store conversion, sales per visitor, omnichannel mix. Once RetailNext is in Polar next to Shopify, ask in plain language.
Type
Audience
15 of 15
Get started · connect once · stays in sync

Your stores live in one dashboard. Polar puts them next to your DTC.

In-store traffic and conversion usually sit in a separate RetailNext tab, far from your online numbers. Connect it to Polar and every dashboard, report and AI answer reads foot traffic, conversion and sales per visitor blended with Shopify, so you finally see true omnichannel performance on one page.

Get started by booking a demoConnect your data in Polar
Phase 1 ~5 minConnect your data in PolarConnect Shopify and your stack. Polar's semantic layer turns it into governed, blended metrics.
Phase 2 ~2 minAdd RetailNext and set the timezoneEnter your RetailNext access, set the connector timezone, and Polar handles the pipeline for you.
Phase 3 the payoffUse it everywhereRetailNext powers your omnichannel view across dashboards, reports and AI answers, always in sync.