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The changing behaviour series: eating out to help out

In this post from The changing behaviour series we look at foot traffic to national quick service restaurant chains (QSRs) and pubs across the UK over the course of August to understand the impact of the government’s introduction of the Eat Out To Help Out Scheme (EOTHO). This scheme enabled diners to receive 50% off their bill on food and non alcoholic drinks consumed on site up to a maximum discount of £10 per person.

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Diversity: through our eyes

Blis recently hosted “Diversity: through our eyes”, the first of our virtual panels focused on the topic of diversity within the media industry. The conversation focused on their experiences of being Black in the media/marketing industry, how they got to the positions they currently hold, and the challenges they faced along the way.

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Five ways historical targeting can help predict future behaviors: Part 5 – expanding target audiences

The COVID-19 crisis has disrupted the way we live, work and play. It’s also impacted national economies of countries around the world and in turn the personal finances of individuals. Decision making has changed and household budgets are tighter. In the UK alone 40% of the working population is currently furloughed or unemployed. 

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Five ways historical targeting can help predict future behaviors: Part 4 – spontaneity

Much of our current movement must be planned and timed specifically. Public transportation is operating with reduced capacity and social distancing measures in most places. Public spaces and leisure areas face similar precautions, limiting the amount of potential for serendipitous encounters. Less meet-ups with friends to grab a coffee and a bite to eat and less opportunities for well-dressed windows to entice us to purchase. 

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Five ways historical targeting can help predict future behaviors: Part 3 – competitor conquesting

During the periods of lockdown we witnessed dramatic shifts in consumer loyalty. In the US, in late February, brands were experiencing on average 78% loyalty. During the peak period of early April those figures rose to 90%, indicating that most people were going to one store only to pick up their essentials and didn’t “shop around”.

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