The 'Big 5' traits
The OCEAN of understanding
Why do some like jazz and skydiving where others want romcoms and package holidays? One person’s bore is another’s thrill, and personality is key to uncovering why.
Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism (OCEAN for short) – the ‘Big 5′ model is the world’s most researched personality paradigm, and – alongside other theories – the psychological basis for VisualDNA’s understanding of people.
At VisualDNA, our psychologists and big data experts have distilled 30 years of personality psychology research, building new methodologies alongside scientists from University College London, Cambridge University, and Columbia University.
Our ‘Big 5′ infographic shows how people, however demographically similar, think, act, and move in unique ways. With our new layer of understanding, we’re helping brands and businesses understand what customers want to do – and, crucially, how they want to do it.View our infographic
Our visual quizzes
Detailed personality feedback, 40m participants
VisualDNA quizzes are based on images to deliberately trigger a rapid, emotional reaction from deep in participants’ subconscious. In-depth, unincentivised and free to take, VisualDNA quizzes have an 80% completion rate and reach millions through viral spread.
VisualDNA quizzes conclude with a psychological reflection of the participant’s personality make-up. We recommend books that’ll expand the mind, highlight likely workplace issues, and focus on key life areas including down-time, finance and romance.
Though the psychological insights fed back are accessible, insightful, and entertaining, they’re firmly rooted in academia’s leading psychological principles; including the ‘Big 5′ model.
Around 40m people have now taken a VisualDNA quiz, giving us the largest personality database anywhere in the world, enabling us to connect personality type to behaviour so we can predict who people are and what they’ll do.Download our whitepaper
The world's largest psychometric database
Out in the world we can learn a lot about a person from just a glance: a flashy watch, a modest bag, a quick wit or a relaxed verve – we infer much about someone from how they look, walk and talk. With VisualDNA tech, you can do the same online.
When someone takes a VisualDNA quiz they generate a detailed and accurate snapshot of their personality. By then analysing that person’s online behaviour we can build up a unique, three-dimensional portrait of who someone is, and build on it to infer who others are.
Exponentially expanding data on the relationship between behaviour and personality, and vice-versa, we can discern an unknown users’ personality type from their behaviour, and we can then predict a person’s behaviour by relating it back to their character type. The tech has been the key to unlocking millions of web users as real people in most major markets globally.
This process is VisualDNA’s Behavioural Inference Engine – developed in conjunction with the University of Cambridge – at work. By accurately inferring personalities and behaviours, brands and business can add value to the online experience.Find out more
Demographics, Interests, Intent, Personality
Demographics + psychographics = DIIP data
Unique to VisualDNA, the DIIP data approach paints a holistic, rounded picture of individuals. Where others specialise in one or more of Demographics, Interest, or Intent data, VisualDNA incorporates all and adds personality, giving us full perspective on every aspect of human behaviour.
Although context predominantly determines that someone will buy, an incisive personality layer tells us why this brand not that, why premium not sale, why muted in colour – not loud. Tap the keyword ‘wine’ into Google and there’s a wealth of personality data beyond: Men, 50+, married, educated…
‘Wine’ in Waitrose may indicate partakers of Chateau Lafite, ‘wine’ at Tesco may be part of the weekly shop, ‘wine’ in the Daily Telegraph may mean an article on the grape season. These searches all indicate greatly different personality types. With DIIP data, we can be three times more accurate in describing readers for publishers – and five times more accurate describing retail customers.
The information boosts any business’s ability to service customers based on how they think, as well as who they are and what they want, adding an extra understanding to the generic and contextual data already out there.Find out how we create our quizzes