Guide: Using Twitter with Databox


How to connect Twitter to Databox


How to connect Twitter to Databox


To connect a Twitter Account in Databox, go to   Data Manager > + New connection. Type Twitter in the search bar and click on the green Connect button. 

This will open the  Authorization window, which is where you will be prompted to enter your Twitter login credentials and authorize the Databox app. 

What's the maximum amount of historical data initially available when you use a new Twitter Data Source Metric in Databox?

When you connect a new Twitter Data Source to Databox, no historical data is initially synced. Data is synced for the Metrics that are being used in your Account, so when you first use a new Twitter Metric, data will start to sync. 

Certain Metrics may have more or less historical data available based on API restrictions. For more information about the amount of historical data available for a specific Metric, please contact our Support Team at

Pro TipIn order to start syncing data for a Metric, you can add it to your Metrics screen, use it in a Scorecard, set a Goal around it, create an Alert for it, or add it to a Databoard. Learn more  here  
    The amount of historical data you're able to access in Databox is dependent on your Databox plan. Learn more here

What time zone does Twitter data sync in? 

Twitter data is synced in the UTC. 

How to access pre-built Twitter Templates

 Navigate to  Databoards > Public Templates
 In the  Data Source drop-down list, select  Twitter
 To view a preview of the Template populated with dummy data, click  Preview
 To pull the Template into your Account and re-populate it with your own Twitter data, click  Use Template 
 Select the appropriate Twitter Data Source from the drop-down list to complete the process. The Databoard will be re-populated with data from the selected Twitter Account and can be found on the  Databoards page 
Pro Tip: Once the Databoard is available on the Databoards page, it is completely disconnected from the public Template. Therefore, you can further customize this Databoard to meet your specific needs using the Designer.

Popular Twitter Templates

Account Overview

Twitter Account Overview Template will help you gather information on your Followers, Tweets, Retweets, and Mentions.

How to build a Databoard using Twitter data


Popular Twitter Metrics




View a full list of Twitter Metrics available in Databox here.

How to build a Databoard

 Navigate to  Databoards > + New Databoard > Start Blank
 Click on the Metric Library icon on the lefthand side of the Designer
 Select the appropriate Twitter Account from the Data Source drop-down list in the Metric Library
 View the list of pre-built Twitter Datablocks in the  Metric Library. Drag and drop your selected Datablock onto your Databoard    

 If a pre-built Datablock isn't available for your use case, click on the  Visualization Types icon under the Metric Library icon

 View the list of Visualizations available in Databox. Drag and drop your selected Visualization onto your Databoard
 Click on the Datablock on the Databoard to open the corresponding Datablock Settings on the righthand side of the Designer
 Select the appropriate Twitter Data Source and Metric in the righthand Datablock Settings. This will update the Datablock and it will populate the Datablock with the corresponding data 
 Complete steps 4-8 until your Databoard is complete

Additional Information


Metric Considerations

  • "New Tweets,'' ''Recent Tweets by Retweets,'' and ''Recent Tweets by Likes'' report on the most recent 200 tweets.
  • ''10 Recent Followers by Follow Count'' returns a maximum of 10 followers.
  • Twitter allows users to have more than one Tweet with the same title. When syncing this data with Databox, this resulted in all values being pushed to the same 1 Tweet.
  • To ensure accurate reporting for unique Tweets, a timestamp has been added to each Tweet in Databox. This timestamp represents the date when the Tweet was published.

    Tweets are now displayed as follows in Databox: ''Tweet (mm/dd/yy hh:mm:ss).'' For example, ''Spring Stock-Up Sale Reminder (02/02/2018 23:37:29),'' rather than just ''Spring Stock-Up Sale Reminder.''

    This applies to the Metrics ''New Tweets by Retweets Count'' and ''New Tweets by Likes Count.''

    How to verify New Tweet data in Databox vs Twitter?

    In Twitter, this data can be verified by looking at the number of Retweets and Likes below an individual Tweet. The timestamp that has been added to the Tweet in Databox can be found above the number of Retweets and Likes.

Granularity Restrictions

  • Due to API limitations, hourly granularity is not supported. This may affect visualization options for Charts in Databox.

    For example, if a Twitter Metric is used on a Line or Bar Chart with ''Yesterday'' Date Range selected, hourly data won't be displayed on the Chart.
    However, the big number above the Chart will accurately reflect the Metric value for the selected Date Range.

    Learn more about Granularity here
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