Historical location data

The changing behaviour series: Dengue in the time of Covid-19 – Singapore

With COVID-19 continuing to dominate news headlines around the world, the equally serious phenomenon of dengue fever in Singapore has taken a backseat. 

Just last week, dengue infections in Singapore have surged past the 10,000 mark, with 870 cases in the first week of June; being the largest outbreak year recorded in Singapore’s recent history. Yet, there are no signs of slowing down. The National Environment Agency (NEA) has warned that the hot and wet conditions suitable for the growth of the Aedes mosquito population are likely to last till October. 

The changing behaviour series: making for malls in UAE

Summer season in the UAE usually sees more people spending time indoors due to the intense heat. Following Ramadan the shopping malls across the emirates are normally thronged with people looking for deals in the Summer Sales that take place across the country. 

The changing behaviour series: webinar – Consumer vs. confidence

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. 

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. 

Five ways historical targeting can help predict future behaviors: Part 1 – habits

Understanding the intersection of people and places helps chart behaviour patterns, habits and lifestyle indicators. In doing so we can make inferences and predictions based on known habits. However, with the current state of constrained connectivity and at a time when fewer purchase decisions are being made outside the home, past habits can provide key indications of preferences and buying behaviours. 

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