The Blis team endeavoured to look at how parents who walk or drive kids to school might return to the habit of getting a coffee on the way to (or from) drop-off.
The changing behaviour series: Grocers prepare for an Easter feast as foot traffic picks up in the UK
As the UK begins to slowly come out from lockdown, we are seeing some return to nearly “normal” shopping behaviours. We predicted in a recent post in our Changing Behaviour series that Britons would be eager to return to some “real-world retail therapy,” and it seems we were correct. As the number of COVID cases has dropped dramatically, consumers are feeling safer and more comfortable going out to the high street shops.
Over the summer the eyes of the world have been focused on Europe as it
As an FMCG brand, you live and die by your distribution, if you aren’t available
Global martech leader Blis offers nine tips for FMCG, food and travel marketers this Ramadan
Search behaviour is the first step in the purchase journey for many. It can be a good indicator of interest, consideration or even intent, but until that translates into actual behaviour – as evidenced by footfall – that means the purchase journey (in most cases) remains incomplete.In this infographic, we use Blis’ analytics tool, Smart Trends to look at US, UK & Australia’s real-world behaviours during the Christmas and New year period to see how resolute those resolutions really are.
We wanted to develop a clearer understanding of exactly how this busy period unfolded in London’s most famous shopping destination: Oxford Circus. Only by understanding how shoppers act in the days leading up to, and after, Black Friday can one truly understand its impact – and better plan for it.
Location data expert Blis recently launched a new analytics tool that lets marketers assess consumer behaviour through mobile location and movement data. The ‘Smart Trends’ feature incorporates in-store behavioural insights and is capable of comparing locations and brands.
Smart Trends lets you look at foot traffic volume by brand, by store, or by very tight local areas, and allows you to quantify the relative importance of different factors, such as competitor proximity, store size, or number of stores around the country.