Our demo - BrandsEye in action

The power of BrandsEye is at its most evident when it is seen live in action. The combination of human intelligence and statistical learning ability of this ORM software facilitates an in-depth reputation analysis through the tagging of mentions and intelligent, automated, statistical analysis. These real-time reports and easy to understand graphs allow you to react within minutes, effectively protecting your brand's online reputation. All of the information below is taken directly from BrandsEye - tracking itself!

Purchasing software without first giving it a whirl's a bit of a risky game, which is why we offer a free two week trial.

BrandsEye demo data

Below is a summary of some of the data you'll have access to when you use BrandsEye:

Finding and categorising mentions of your brand

All mentions of your brand (including sub-brands, senior staff and competitors) are picked up in real-time and managed in an easily accessible central application. The various algorithms then automate the variables and human interaction then further trains the tool to continually increase the accuracy of the system. Each mention can also be viewed individually along with its name, author and the date that it appeared. Click the sign to view a short excerpt.

Recent BrandsEye mentions

Unlike many other ORM services, BrandsEye allows for exceptionally detailed variable analysis. For example, sentiment doesn't just allow for positive-neutral-negative, but allows for a 10 point measure (ranging from "Emergency" through to "Celebration"). This provides better detail from which decisions can be made.

You can also see a summary of where most of the conversation about your brand is taking place - in the press or amongst your consumers.

Viewing your total mentions according to the credibility of the source allows you to gauge where your brand is gaining recognition and where your efforts should be focussed.

Custom reporting

BrandsEye also allows for fully-customisable graphs and mentions to be filtered out. These correspond to particular conditions which the user selects (such as authors credibility, sentiment, mention's source as well as websites traffic, Page Rank etc.).