Advanced data analytics for Instagram

Instagram, an increasingly popular social network, is also becoming the channel of choice for online marketers. Up until recently, the service did not provide much analytics capabilities, surely far from the golden standard set by Facebook or Google. Therefore, I am extremely happy to announce that Dataddo is fully integrated with Instagram providing advanced analytics capabilities, especially vital for online marketers and data analyst, such as automated data extraction and delivery, custom metrics definition, data integration of multiple Instagram accounts as well as with other data sources such as Google Analytics, Facebook, Twitter or Pinterest. The service itself is built around recently launched Graph API (indeed the same stack used for Facebook Insights).

Supported metrics

Currently, Dataddo supports requests on following metrics:

Account level

  • Impressions
  • Reach
  • Follower count
  • Email contacts
  • Phone call clicks
  • Text message clicks
  • Get direction clicks
  • Website clicks
  • Profile views
  • Audience gender age
  • Audience locale
  • Audience country
  • Audience city
  • Online followers

Media level

  • Engagement
  • Impressions
  • Reach
  • Saved
  • Video views
  • Carousel album engagement
  • Carousel album impressions
  • Carousel album reach
  • Carousel album saved
  • Carousel album video views
  • Story exits
  • Story impressions
  • Reach
  • Replies
  • Taps forward
  • Taps back

Dataddo Instagram ConnectorInstagram data automation

Dataddo is complex data automation, transformation, integration and analytics platform, build for online marketers, data analysts and others who do not want to waste time by coding and API integration but rather get straight to insights. With Dataddo you can easily deliver Instagram data to your existing data warehouse, define custom metrics, give business value to your Instagram campaign data by integrating them with your financial or e-commerce metrics or simply off-load your data analysts from routine, boring and laborious tasks by automating the data extraction and transformation tasks.