Tidio
Tidio integration

Tidio in Polar: support load, read against the orders you shipped.

Tidio handles the conversations. What it cannot tell you is whether the load is healthy, because a thousand tickets is a crisis for one business and a quiet week for another. Bring conversations, tags and resolution data into Polar and support becomes tickets per thousand orders, next to returns and revenue.

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Support load, read against the orders you shipped.

Conversations, tags and resolutions from Tidio, read against your Shopify orders, so support is expressed per thousand orders and sat next to the returns and products that caused it.
Ticket volume
"How many, really?"
Conversations created and resolved, read against your order volume.
per 1,000 orders
By tag & topic
"What are they writing about?"
Volume by tag and topic, so the driver behind the load is visible.
cause, not count
By product
"Which products generate contacts?"
Contact rate per SKU, against the margin that product earns.
per SKU
Against returns
"Is support tied to returns?"
Contacts sat next to returns and refunds, on the same timeline.
support vs returns
Repeat behaviour
"Do they stay after?"
Whether a resolved contact predicts a second order.
contact to repeat
One P&L
"Support sits in a silo."
Support load next to orders, returns and margin on one statement.
in the P&L
Setup Guide

How to Connect Tidio to Polar.

A Polar account with Shopify connected, admin on your Tidio account, and Polar's AI Data Engineer, which builds the connector from a plain-language request.
Polar

A Polar account with Shopify

A Polar account with Shopify connected. Tidio data only means something read against the orders behind it.

Connect your data →
Tidio

Your Tidio account

Admin access to Tidio, with conversation, tag and resolution reporting for the inboxes you run.

Open Tidio →

Polar's AI Data Engineer

No native Tidio connector yet? Describe what you need in plain language and the AI Data Engineer reads the Tidio API, writes the connector and pipes it into your warehouse, in minutes.

1

Ask for the connector ~ minutes

Plain language, no code.
Tell Polar's AI Data Engineer what you want from Tidio in plain language. It reads the source documentation, lays out everything the API offers by category, then writes the connector and pipes the data into your warehouse as governed data. No code, and it ships in minutes.
Worth knowing: this also works on connectors you already have. If the Tidio API exposes a field, you can have it, down to a single hidden one the standard connector never pulled.
2

Conversations joined to orders automatic

Load, in proportion.
Polar reads Tidio volume against your Shopify orders, so support is expressed as tickets per thousand orders and a spike separates from simple growth.
3

Cause, and cost the payoff

Why they contact.
Tags and topics sit next to returns, products and margin, so the operational problem behind the volume is visible rather than inferred.
Get started

Put support load in proportion to the business.

Bring Tidio in and read conversations against orders, returns and the margin behind them.

Side by side

Tidio counts the tickets. Polar tells you if that is a lot.

Conversation volume grows with the business, so an absolute number says nothing. Tidio reports the inbox; Polar reads it against the orders you shipped, and sits it next to the returns and the products that caused it.
Tidio

Tidio on its ownon its own

Tidio+

Tidio with Polarblended

Volume is an absolute number that grows with the business.
Tickets per thousand orders, so a real change separates out.
Tags tell you the topic but not the cost.
Topics ranked by the order value and margin they touch.
No line between contacts and the products behind them.
Contact rate per SKU, against that product's margin.
Support and returns are two separate reports.
Both on one timeline, so the cause shows up once.
The Gap

The connector is only half of it.

Once Tidio is modelled against your real orders inside Polar, you can use the result wherever you already work. Ask Polar in plain language, pull it live through the Polar MCP, or schedule it into the report your team reads every morning.
Tidio

Tidio

conversations, tags, resolutions
Polar

Polar

support load vs revenue

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Support, finally in proportion.

A thousand tickets is a crisis for one brand and a quiet week for another. Polar reads volume against orders, so a real deterioration separates from growth.
T Support, in proportion Illustrative
Metric
This week
WoW
Net revenue
$482,100
+6%
Orders
3,240
+4%
Blended CAC
$38
-9%
New vs repeat
42 / 58
-3pts
Email revenue
$71,400
+12%
Contacts against the orders shipped, next to returns. Illustrative figures.

Per thousand orders

In proportion

Absolute volume grows with the business and tells you nothing. Read against orders, a genuine deterioration separates from a good month.

The cause, by product

No SQL

Contact rate per SKU next to its return rate usually names the problem: sizing, description, delivery or the product itself.

Your Prompt Library

15 prompts a connected Tidio unlocks.

Tickets per thousand orders, contact drivers, contact rate per product and support read against returns.
Type
Audience
15 of 15
Get started · connect once · load in proportion

Tidio counted the tickets. Polar tells you if that is a lot.

Bring conversations, tags and resolutions into Polar and read support against the orders, returns and margin behind them.

Phase 1 ~5 minConnect your data in PolarConnect Shopify and your stack. Polar's semantic layer turns it into governed metrics, then wait for the first sync.
Phase 2 ~ minutesBring Tidio inDescribe what you need in plain language; the AI Data Engineer writes the connector and pipes it into your warehouse.
Phase 3 the payoffRead load in proportionTickets per thousand orders, with the cause and the cost.