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Qlik Sense

Qlik Sense is Qlik's business intelligence platform for building interactive dashboards and analytics apps. It connects to a wide range of data sources, but pulling from marketing, sales, or analytics tools usually means building a custom connector or exporting files by hand — that's where Coupler.io comes in.

With Coupler.io as the bridge, you can send data from any supported source into Qlik Sense through its built-in REST connector using a single integration URL. No custom connector development, no manual exports.

Why use Qlik Sense as a Coupler.io destination?

  • Any source, one app — send data from Google Ads, Facebook Ads, HubSpot, Shopify, Airtable, and dozens of other sources into a single Qlik Sense app

  • Uses Qlik's native REST connector — nothing to install on the Qlik side; the connection is standard functionality

  • No coding required — the integration is URL-based, so you paste one link into Qlik Sense and your data appears

  • Automatic refresh — schedule Coupler.io to run on a recurring basis, then schedule your Qlik reload after it, keeping apps current without manual work

  • Combine before you load — use Coupler.io's Join, Append, Aggregate, and SQL transformations so Qlik receives a single prepared table instead of several raw feeds

Prerequisites

  • A Qlik Sense account with permission to create data connections

  • A Qlik space to create the connection in — your Personal space works, or a shared space if you want colleagues to reuse the connection

Quick start

How to connect

1

Create a data flow and add your source

In Coupler.io, create a new data flow and connect the source you want to pull data from — for example, Facebook Ads, GA4, or Shopify. Configure the entity and any filters or date ranges you need.

2

Select Qlik Sense as your destination

In the Destinations step of your data flow, choose Qlik Sense from the list.

3

Choose the data set to share

Under Data set to share, pick the data view you want to send to Qlik Sense. If your flow has several prepared views, click Change to select a different one.

4

Follow the steps in the setup wizard

1

Login into Qlik Sense

2

Select "+ Create"

3

Click the "+" in the "Data connection" tile

4

Search for "REST" and select it

5

Generate the Integration URL and wait for the flow to complete it's first run

Coupler.io will generate a unique integration URL for this data flow. The data flow will auto-run to populate the link that you just generated.

6

Copy your integration URL

The URL looks like this:

7

Create a REST data connection in Qlik Sense

Log in to Qlik Sense, click + Add new, and choose Data connection. In the Add data connection dialog, pick a Space, search the data sources for REST and select the REST tile.

8

Paste the URL into Qlik Sense

In the REST connection form paste the integration URL into the URL field. Leave Method set to GET. The Name field fills in automatically from the URL — you can rename it to something readable, such as Coupler_FacebookAds, so you can identify it later.

9

Create and analyze

Click Test connection to confirm Qlik can reach the endpoint, then click Create to save the connection.

The Qlik REST connector defaults to a 30-second connection timeout and a 300-second read/write timeout. Large exports can take longer than that to transfer — if the connection times out on a big data set, raise the read/write timeout before assuming the URL is at fault.

Keeping your app up to date

The integration URL is stable: it stays the same across runs while the data it serves updates each time your data flow completes. That means you set the connection up once in Qlik Sense and never touch it again.

To keep the app current, schedule both sides:

1

Set a refresh interval on the Coupler.io data flow

The shortest available interval depends on your plan — manual runs only on Free, daily on Starter and Active, hourly on Pro, and every 15 minutes on Agency & Enterprise.

2

Schedule your Qlik Sense reload

Schedule your Qlik Sense reload to run after the Coupler.io run is expected to finish. Allow at least 5-10 minutes depending on your source, so Qlik doesn't reload against data that's still being written.

Supported features

Feature
Supported

Replace mode

Yes

Append mode

No

Automatic scheduling

Yes

Type enforcement

No

Templates

No

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