Through the analysis of online conversations, Eyesover provides real-time polls indicating the public's support (or lack thereof) for the topic of the conversation. Many of our customers use this polling ability in the political sector. Eyesover listens, analyzes, and tracks how much public support each political party or candidate is getting compared with their competition.
So how do we determine public support? To answer this question, we looked at what it means to be considered a supporter.
Consider how one might learn about a friend's favorite sports team? One way is to ask them - this is how traditional polls work. The poll would ask a question and provide options to choose from. A different way to find out what your friend's favorite sports team is, would be to just listen to them. Typically, if someone is vocal about their opinions then it generally doesn't take long to learn where that person stands on different topics. Even if someone isn't very vocal, we often learn a lot from normal, everyday conversations with each other. The key here is listening. Listen to what people are saying and learn from it. Even without asking a question, it is not difficult to tell if someone is opinionated about specific topics based on how much they keep bringing up the topic.
We took these concepts and applied them to how we find supporters within the social media landscape. Our customers simply choose which subjects, such as two competing politicians, they would like to find public support for and our system then listens to all online conversations taking place about those politicians. By listening to these conversations, Eyesover is able to determine if people on social media are (a) interested in a subject, based on how much they discuss it, and (b) how they feel about that subject.
Through our product development, we have learned how much discussion and what sentiment is required to confidently state an individual is a supporter or an idea, brand or individual. The analysis is performed for every “vote” in our poll in real-time. In fact, Eyesover's polling system calculates over 10 million voters every hour, and as the search for discussion grows through our AI technology, more voters are calculated every day.
Determining a supporter has far reaching benefits. Not only does this provide accurate predictions for such things as political elections, it also provides our customers with a deep understanding about the critical opinions influencing their audience.
Mention count, number of views, expected reach; these are just a few of the terms used by the social media marketers, but what does this information really tell us?
A major problem with online metrics is the potential for mention count to be manipulated by multiple mentions coming from both legitimate accounts and bots. Hundreds of comments, likes, or retweets from the same account will obviously inflate metrics, sometimes to the point where wrong decisions are made based on the flawed data.
Similarly, this inaccuracy can apply to the ‘number of views’ or expected reach. Often, neither metric will give you accurate information regarding the number of unique individuals who viewed your article or video if the numbers are inflated by individuals using different devices or web browsers.
The same holds true for inbound content. Knowing exactly how many individuals are talking about a particular subject can be far more valuable than just knowing how many mentions there are. Too many times organizations will be put on full alert and devote resources to an issue that is rapidly growing in mentions online, yet the reality is the mentions are coming from a handful of accounts.
One of the unique features of the Eyesover system is that we analyze our data on an individual by individual basis. This gives us the ability to report not only on the number of mentions, but also, the far more important metric of the number of individuals that are actually talking about the subject.
This method cuts through the spam and counts high volume accounts as exactly one individual, regardless of how many tweets they posted that day. By analyzing online content in this manner, we not only identify and discover real trends as they develop, we can use the individual opinions for key features such as our real-time polling and ad targeting while ensuring users are not distracted by noise.
As political campaigns are increasingly won and lost online, tools that allow campaigns to harness online information have quickly moved from the “nice to have” category of campaign needs to become a critical requirement.
Just as a seller of products or services needs to capture customer feedback, track performance, and advertise, political campaigns need to understand their customer’s opinion (issues management), know how they are performing in relation to their competition (polling), and be able to reach out to the voter/customer in an effort to help sell the candidate (advertising).
The Eyesover system is designed to provide these tools to a campaign in one comprehensive platform and in particular, alert customers about trends they are not aware of using artificial intelligence to uncover potential emerging issues.
Using Eyesover trend discovery software, campaigns can capture unlimited discussions pertaining to the issues that are driving an election. Our unique technology provides up to the minute polling results based on the opinions of thousands of potential voters. We also give campaigns the ability to reach out to voters one on one, or through micro-targeted online ads based on voter opinions on specific issues.
Whether a campaign is local or national, the Eyesover platform provides the information that will ultimately determine if a campaign wins or loses. Visit our site to learn more about how we can help you win.
Eyesover Technologies Selected for L-SPARK