Use the time filters and our native Spike metrics- Highest Velocity, Predicted Interactions and Overperforming- to surface the most relevant content
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.
You can use Predicted Interactions to find stories that will have the greatest impact today. 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 the public.
Spike tracks the growth of social engagement with every story and weights the increments by the rate of acceleration or deceleration. By applying predictive analytics, these measurements are extrapolated to estimate the number of interactions a story will have earned up to 24 hours into the future.
This is best used for opportunity spotting - helping you to identify the stories that you can focus your resources on, knowing that they will continue to generate engagement throughout the day.
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.