View the ratings of mobile apps that are available in the Apple app store. The metrics that are available in this dataset include rating, rating count, app version, as well as the app’s price. Tracking the number of reviews shows you how often an app is downloaded. The more people download an app, the more it is reviewed. tracking the review score tells you the quality of the app. Companies that make good apps often do well as consumers shift from computers to mobile.

Here is the link for the documentation on the columns for this dataset: Columns Definition

Due to its huge user base, Facebook provides many insights on how consumers interact with a company’s brand. You can track how many people are liking a company’s page over time. Here’s an example of Walmart:

You can also track the number of people talking about a company’s page on a daily basis: (Tesla)

This is useful for tracking news, such as scandals, as Facebook users may know about an event before the media and subsequently the general public, especially for smaller companies. The actions that are counted towards ‘People Talking About’ are the following:

• Like

View the number of times any of a company’s urls have been shared through various social media channels such as Facebook, Linkedin, Google Play, and Pinterest. The number collected is cumulative.

Here is an example of the cumulative count of Facebook share counts for Apple over time:

Here is the link for the documentation on the columns for this dataset:Columns Definition

Websites and apps allow their users to log in using Facebook as opposed to the traditional email address/password. Thinknum tracks these logins over time, which provides insight into active user metrics. These metrics can be used as proxy for traction of a specific website/app.

Below is an example of Tinders Monthly Active User Rank. This metric ranks Tinder's login activity in regards to other apps.

Here is the link for the documentation on the columns for this dataset: Columns Definition

Thinknum tracks the tenant directory of mall REITs on a daily basis. Users can identify the total number of tenants for a REIT over time. Here is an example of the total number of tenants over time for Pyramid Management:

Another use case is identifying a REIT’s exposure to specific tenants. This is important for larger tenants, since if an anchor tenant decides to leave a mall, the smaller tenants in that malls’ foot traffic will be affected.

For specific REITs, the square footage of each individual tenant is provided. You can analyze aggregate vacancy rate across an entire