Create Reports from Mouseflow Data in Looker Studio

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Mouseflow data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for Mouseflow and generating reports from Mouseflow data within Looker Studio.

CData Connect AI offers a seamless cloud-to-cloud interface tailored for Mouseflow, making it straightforward to construct reports directly from live Mouseflow data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to Mouseflow. This leverages server-side processing to swiftly provide the requested Mouseflow data.

Configure Mouseflow Connectivity for Looker Studio

Connectivity to Mouseflow from Looker Studio is made possible through CData Connect AI. To work with Mouseflow data from Looker Studio, we start by creating and configuring a Mouseflow connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Mouseflow" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Mouseflow.

   Start by setting the Profile connection property to the location of the Mouseflow Profile on disk (e.g. C:\profiles\Mouseflow.apip). Next, set the ProfileSettings connection property to the connection string for Mouseflow (see below).

   Mouseflow API Profile Settings

   Retrieve your API key from API > API Key within your Mouseflow account settings. Your region (us or eu) can be determined from your account URL.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Mouseflow Connection page and update the User-based permissions.

With the connection configured, you are ready to connect to Mouseflow data from Looker Studio.

Visualize Live Mouseflow Data from Looker Studio

The steps below outline connecting to CData Connect AI from Looker Studio to create a new Mouseflow data source and build a simple visualization from the data.

1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect AI Connector.

2. Click Authorize and allow access to your Google account.
3. Click Authorize to authenticate with your CData Connect AI instance
4. In the CData Connect AI Connector in Looker Studio select Connections to import from the dropdown and click Next

5. Now select a Connection (e.g. API1) and click Next
6. Select a Table (e.g. FeedbackCampaigns) or use a Custom Query and click Connect to continue
7. If needed, modify columns, click Create Report, and add the data source to the report.

8. Select a visualization style and add it to the report.
9. Select Dimensions and Measures to customize your visualization.

Live Access to Mouseflow Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Mouseflow data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Mouseflow data.

Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.