Our Crowd consistently
Famous algorithm-based tool
The BrandsEye Crowd
- AboutSearch engine
Here’s a quick look at how it works
First we huntWe continuously seek, gather and store mentions based on predefined criteria across online, social, print and broadcast media.
Next the data is sent to real life humans… we call them The CrowdEach selected mention is distributed to a locally relevant Crowd where real people from all over the world refine and contextualise the data based on local knowledge and understanding of idiosyncratic expression of sentiment.
Then the algorithm gets to workOur sophisticated machine learning algorithms evaluate each mention to ensure consistent accuracy and relevance.
Finally we visualise the piles and piles of dataData is brought to life in a highly customisable interface featuring a wide range of analysis tools giving you accurate data you can rely on.
Why Crowd verified data is important
Crowd integrated opinion data gives clients industry leading data accuracy of up to 97%. Find out how we do it.
Keep only what's relevant
Our Crowd checks to see if the mention is relevant to you? For organisations and products with generic names or international alternatives this is the first hurdle towards accurate data.
Algorithm based systems often get sentiment wrong because of the complex emotive nature of specifically social conversations, our Crowd looks at the meaning behind these posts ensuring data is correctly attributed as either positive, negative or neutral.
Discover and classify topics
Now that you know how people feel, you need to get behind the why. The Crowd works though the data and organically uncovers the themes and key topics behind what people are talking about.
Rock-solid features come standard
Trained contributorsAll contributors are trained and vetted by a proprietary training system.
Multiple contributorsMultiple contributors evaluate selected mentions to eliminate user error.
Detailed evaluationData points are evaluated for relevance and sentiment.
Versatile capacityThe Crowd is readily scalable in proportion to data density.
Fast evaluationsEach data point is evaluated by a person in just a few minutes.
Local crowds and languagesLocally relevant crowds provide vastly better context when evaluating mentions.