Kount
Kount integration

Kount in Polar: what fraud and false declines really cost.

Kount approves or declines the order. What it cannot tell you is what the decision cost, because a chargeback shows up in your ledger and a false decline never shows up at all. Bring decisions, chargebacks and reviews into Polar and both sides of the trade-off land in your margin.

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Fraud loss and the revenue you turned away, both priced.

Decisions, chargebacks and manual reviews from Kount, matched to the Shopify orders they applied to, so the cost of fraud and the cost of stopping it sit on the same statement.
Chargebacks
"What did fraud cost us?"
Chargeback value and count matched to the orders they reversed.
on the order
False declines
"What did we turn away?"
Declined orders read as the revenue and margin they would have been.
the invisible cost
By product & market
"Where is it concentrated?"
Fraud and decline rates per SKU and per destination.
per SKU · market
Manual review load
"What does review cost us?"
Orders held for review and the delay before they convert.
review time
Margin after loss
"What do I keep?"
Contribution margin with fraud loss included, not beside it.
after fraud
One P&L
"Risk lives in a silo."
Fraud cost next to cost of goods, freight and ad spend on one statement.
in the P&L
Setup Guide

How to Connect Kount to Polar.

A Polar account with Shopify connected, admin on your Kount 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. Kount data only means something read against the orders behind it.

Connect your data →
Kount

Your Kount account

Admin access to Kount, with the decision, chargeback and review reporting for the stores you protect.

Open Kount →

Polar's AI Data Engineer

No native Kount connector yet? Describe what you need in plain language and the AI Data Engineer reads the Kount 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 Kount 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 Kount API exposes a field, you can have it, down to a single hidden one the standard connector never pulled.
2

Decisions on the order automatic

Approve, decline, chargeback.
Polar matches Kount decisions to your Shopify orders, so approvals, declines and chargebacks are attached to the revenue and the margin each one represents rather than to a monthly rate.
3

Both costs, visible the payoff

Loss and lost revenue.
Fraud loss and the revenue declines turned away sit on the same statement, so tightening the rules is a decision with two numbers instead of one.
Get started

Price both sides of the fraud decision.

Bring Kount in and read chargeback loss and declined revenue against the margin each one moves.

Side by side

Kount makes the call. Polar tells you what it cost.

A chargeback is visible and a false decline is not, so rules get tightened past the point where they pay. Kount reports the decisions; Polar prices both sides of them against the revenue and the margin each one moved.
Kount

Kount on its ownon its own

Kount+

Kount with Polarblended

Chargeback loss is a monthly rate, not an order.
Loss matched to the orders it reversed, by product and market.
The revenue a decline turned away is invisible.
Declined orders priced as the revenue and margin they would have been.
Fraud sits outside the margin calculation.
Loss and review cost inside contribution margin.
A blanket rule for a problem that is not spread evenly.
Rates by product and destination, so rules can be targeted.
The Gap

The connector is only half of it.

Once Kount 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.
Kount

Kount

decisions, chargebacks, reviews
Polar

Polar

net profit, blended margin

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

A decline is a cost too.

Chargebacks are visible and declines are not, which is why rules get tightened past the point where they pay. Polar prices both.
K The cost of the decision 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%
Chargeback loss on one side, declined revenue on the other. Illustrative figures.

Two costs, not one

Both sides

Tightening the rules cuts chargebacks and cuts revenue. Polar shows both numbers, so the threshold is set on a trade-off rather than on a fear.

Where it concentrates

No SQL

Fraud is rarely spread evenly. Product and market level rates turn a blanket rule into a targeted one.

Your Prompt Library

15 prompts a connected Kount unlocks.

Chargeback cost, false decline revenue, concentration by product and margin after loss.
Type
Audience
15 of 15
Get started · connect once · both sides priced

Kount made the call. Polar tells you what it cost.

Bring decisions, chargebacks and reviews into Polar and read fraud loss against the revenue your rules turned away.

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 Kount inDescribe what you need in plain language; the AI Data Engineer writes the connector and pipes it into your warehouse.
Phase 3 the payoffRead both costsFraud loss and declined revenue on the same statement, inside margin.