Analytics

We assume you are already familiar with the Klarna Checkout JavaScript API, if that is not the case, please go ahead and make yourself familiar with it.

Assuming you already have GA working on your site (if not follow their instructions), we just need to listen to KCO’s events and send them to GA like this:

window._klarnaCheckout(function(api) {
    // register listeners to KCO's events
    api.on({
        // listening to the load event
        'load': function(data) {
            // sending the load event to GA
            gtag('event', 'KCO_load', {
                // adding data we get from KCO
                ...data,
            })

Let’s break this code down in pieces:

• First, as you may know already, we use the _klarnaCheckout property so we can get the api on the callback.
• Then we use the api.on function passing an object listing the events we want to listen to, in this case only the load event.
• Whenever KCO triggers the load event then we send it to GA using their API, in this case with a prefix KCO_ to make it more clear. We also add the data we get from KCO and we could even add more data if needed you already have from your site, things like currency, language, order lines, etc.

To prevent duplicating this code per event, you could create a function that gets called for each event you have subscribed and then send it to GA, something like this:

const kcoEventsSubscriber = (eventName, data) => {
    gtag('event', `KCO_${eventName}`, {
        ...data,
    })
}

window._klarnaCheckout(function(api) {
    api.on({
        'load': (data) => kcoEventsSubscriber('load', data),
        'user_interacted': (data) => kcoEventsSubscriber('user_interacted', data),

Let’s see how we can build a funnel analysis in GA. This is a example of what we could create:

For this we used the “Funnel analysis” dashboard under the “Analysis hub” and these events:

• load
• user_interacted
• billing_address_change
• shipping_address_change
• redirect_initiated

Now that you know how send KCO’s events to your analytics tools, go and have fun creating more general or detailed dashboards to understand your users better.