In December 2013, Unilever launched a YouTube channel in the UK dedicated to hair. All Things Hair, as it’s called, generated over 17 million views and an average viewing time of one minute and 51 seconds, in its first six months.
Today it has nearly 180,000 subscribers, and remains one of the strongest examples of big data being used effectively.
Created in conjunction with agency Razorfish, it is filled with hair styling tutorials from leading video bloggers (vloggers), including the likes of Zoella and Tanya Burr. That content isn’t arbitrary however, rather selected based on Google searches.
Unilever partnered with the search giant to gain real-time insights into what exactly people are looking for knowledge on. There are 11 billion searches about hair on Google every year – 30 million each day – making it a rich pool to draw from and enabling the company to predict what solutions, problems and styles people care about.
That information is sent to the vloggers – many of whom have several million followers in their own right too – who are paid by Unilever to create the tutorial content incorporating brands including Toni & Guy, Dove and VO5.
Speaking at Cannes Lions last year, Unilever chief marketing and communications officer, Keith Weed, said: “The content is relevant, useful and authentic. It’s a really cool application of big data, based on what is actually big insights.”
It’s also a great example of merging together real-time search data with influencer and content marketing. Cleverly it does so in a way that retains an authentic feel, rather than a hardline promotional one.
Some recent example content: