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Overview

The insights overview page provides an overview of your sales performance, order trends, and checkout behaviour. This page helps you track revenue, understand conversion patterns, and identify how customers are paying.

Updated over a week ago

Note: This feature is currently in an early beta version and is only available to a limited number of merchants. We are gradually rolling it out over the coming weeks. You will be notified once Sales Insights becomes available in your Kustom Portal.


Overview

The insights overview page in the Kustom Portal is your central hub for monitoring and analysing sales performance. It consolidates data from all your orders, giving you a comprehensive view of revenue trends, order volumes, conversion rates, and payment method distribution over time.

With Insights overview, you can:

  • Track monthly revenue and order volume trends

  • Monitor year-over-year sales growth

  • Analyse sales broken down by country

  • Understand your checkout conversion funnel

  • See how customers are paying across different payment methods

  • The data will have a delay of approximately 12 hours.


How to access Overview

You can access the insights overview page from the main navigation menu in the Kustom Portal.

To open the Overview Insights page:

  1. Log in to the Kustom Portal.

  2. Select Insights in the menu.

  3. Navigate to the Overview tab.

If you do not see the Insights option in the menu, it means you do not have the required access role.


Who can access Sales Insights

Only users with the following roles can view the insights overview page:

  • Admin

  • Super Admin

If you do not have one of these roles, the "Insights" option will not appear in your portal navigation.


What you can see on the Overview page

The insights overview page is divided into four main sections:

  • Sales and Orders: Monthly revenue and order volume with average order value

  • Sales per country: Revenue breakdown by market, with a year-over-year comparison

  • Conversion rate: Checkout funnel performance and monthly conversion trends

  • Payment mix: How revenue and order volume is distributed across payment methods

Note: All data on the Sales Insights page is based on analytics and may have a delay of roughly 12 hours.

Furthermore, for all graphs you can:

  • Press on a month to zoom in on a daily level

  • Swap between order-view/volume-view

  • Apply filters to analyze subsegments

Pressing on a month allows zooming in on a daily level

Pressing the arrow tab allows to switch between different charts


Changing currencies in the overview

You can change the currency displayed in the overview by pressing the gear icon on the top right

Press the gear icon to change currencies


Sales and Orders

This section gives you a monthly view of two key metrics side by side.

The Sales chart shows total revenue per month, split between:

  • Checkout: Orders placed through the Kustom checkout

  • Recurring: Orders from recurring payment agreements

  • Mobile POS: Orders from Mobile POS

  • Telesales: Telephone orders

  • HPP: Hosted payment page, generally used for in-store, payment links or certain checkout integrations

The Orders chart shows the total number of orders per month alongside the average order value (displayed as a line on a secondary axis). This helps you understand whether changes in revenue are driven by order volume, order size, or both.


Sales per country and year-over-year change

This section breaks down your sales data by geography and compares current performance to the same period last year.

The Sales per country chart shows monthly revenue split by market — for example, Finland, Norway, and Sweden. This helps you understand which markets are driving growth and how your sales mix is shifting across regions.

The Order volume & YoY change chart overlays two data series:

  • Order amount: Total revenue per month (bar chart)

  • Year-over-year change (%): How this month's revenue compares to the same month last year (line chart on a secondary axis)

A positive YoY percentage indicates growth compared to the prior year; a negative percentage indicates a decline.

The YoY numbers are based on the selected Merchant ID, so changing Merchant ID or expanding to more countries would affect these numbers. All filters will also work with the YoY calculation, if you for example want to see how a particular market or product has developed over time.

Your reporting currency will affect the YoY numbers if you sell in multiple currencies, since exchange rates move on a daily basis.


Conversion rate

This section shows how effectively your checkout turns sessions into completed orders.

The Waterfall checkout chart displays the step-by-step drop-off through the checkout funnel, including:

  • Created sessions: The starting point (100%)

  • Loaded KCO: Sessions where the Kustom checkout was loaded

  • First user interaction: Sessions where the customer engaged with the checkout

  • Address complete: Sessions where the customer completed their address

  • Pressed buy: Sessions where the customer clicked the buy button

  • Validation Accepted: Sessions that passed validation (server side, client side or age validation)

  • Accepted: Orders that were accepted

  • Total orders including external: All orders, including those placed outside Kustom Checkout

  • Of which external: Orders placed through external channels

  • Kustom Orders: Final share of orders placed through Kustom Checkout

Each step shows the percentage drop-off from the previous step, helping you pinpoint where customers are abandoning the checkout. “External orders” refers to redirecting away to payment methods that are not handled directly by Kustom - any redirect to an external payment method would count toward this metric.

Shoppers that are fully prefilled (address filled in without any user interaction) will be counted towards “Address complete” - despite not having a user interaction. The waterfall counts the furthest point the customer has reached in the session. These shoppers may see a slightly higher drop-off towards “Pressed buy” since they haven’t yet shown the same intent to interact or buy.

The Conversion trend chart on the right shows how conversion rates have evolved month by month, tracked from three different entry points:

  • From session created: Conversion rate from all sessions

  • From user interaction: Conversion rate from sessions where the customer engaged

  • From pressing buy button: Conversion rate from sessions where the customer clicked buy

These map towards the different steps in the waterfall funnel. This helps you distinguish between issues with checkout discoverability versus issues further down the funnel. Pressing on a month allows zooming in to see conversion rate on a daily level.


Payment mix

This section shows how your revenue and orders are distributed across different payment methods.

The left chart displays the absolute payment volume (SEK) per month, stacked by payment method. The right chart shows the same data as a percentage breakdown, making it easier to see shifts in payment method preference over time.

Payment methods shown include:

  • Klarna

  • Card

  • Apple Pay

  • Google Pay

  • Billie

  • MobilePay

  • 0-Amount Purchase

Monitoring the payment mix helps you understand which payment options your customers prefer and whether new payment methods you have enabled are gaining adoption. Clicking on the arrow allows you to switch to seeing the payment mix on an order-level, including external purchases and seeing the payment methods on a more granular level.

Please note the following when using the insights overview page:

  • All data on the overview insight page is based on analytics and may have a delay of roughly 12 hours. There may therefore be a small discrepancy between the numbers shown here and those in your order overview.

  • The insight overview shows aggregated trends and overall performance. It does not provide order-level details.

  • Year-over-year comparisons require at least 13 months of data to be meaningful. For newer merchants, this chart will populate over time.

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