Metrics- Highest Velocity, Predicted Interactions, Overperforming, Additional Web Metrics & Metrics on Other Networks

Use the time filters and our native Spike metrics- Highest Velocity, Predicted Interactions and Overperforming- to surface the most relevant content

Highest Velocity

Highest Velocity is the default metric when you first create any search. It's best used in combination with the time filter set to one hour or 30 mins, surfacing the most recent stories published relating to your search.

Highest Velocity organizes all the stories published which mention your search terms, by how quickly those stories are traveling across social. This means that brand new and breaking stories which are trending or gaining the most traction online are surfaced at the top of the feed, which can be extremely useful to keep up to date with the biggest and most important breaking news throughout the day. 

Predicted Interactions

The same way we can use our velocity metric with a short time period to find trending breaking news, we can use Predicted Interactions with a longer time span to find stories that we know will perform the best in the coming hours. This metric will work with all time spans but is best used with a time period of 1 or 3 hours to find relatively recent stories that we know are going to best engage with audiences.

Spike analyzes the trajectory of an article’s social interactions to forecast it’s predicted the number of engagements up to 24 hours into the future, establishing the stories and topics that you can focus your resources on, knowing that they will continue to generate engagement throughout the day.

Overperforming

The third native metric in Spike is Overperforming, which is best used with a longer time span such as a week or even a month. This gives you a retrospective look at what stories around a particular topic have performed better than average for publishers.

Overperformance measures the performance of an article against the average performance of all articles from its respective publisher in a previous recent time period. This way we can see what articles are performing better than that average and by how much, giving us the article’s Overperformance score. This can be really useful when trying to get an idea what stories have generated more engagement than usual either for a particular publisher or in relation to a certain topic.

Additional Web Metrics

In addition to our proprietary Spike metrics, you can sort your feed by Total Interactions to see the content with the highest engagement overall or by Most Recent to surface most recently published content at the top of your feed. 

You can also sort by social engagement on a specific network to see content that is performing best on Facebook, Twitter, or Pinterest. 

Metrics for Other Networks

As you move through the different social networks you are able to filter and reorganize your feed using the native metrics in each network. 

In the Facebook network, for example, we allow you to look at the Facebook posts which have the most Facebook shares, likes or comments, as well as filtering by reactions such as Love, Wow, Haha, Sad and Angry to drill into those posts which are creating specific reactions within their audiences.