
Aligning Brand KPIs with Storytelling: A Guide to Measurable Impact
In the ever-evolving world of marketing, storytelling has emerged as a critical tool for brands to connect with their audiences. But great
Wave 1 : Friday 17 April 2020
Data as at: Friday 17 April 2020
Ever since the lockdown in Mauritius, we’ve seen enormous efforts from several stakeholders to enforce social distancing.
But, how do you keep an eye on public movement in every corner of the island?
I believe technology and proper data mining, can help in identifying specific areas where people tend to go.
The solution: use Google My Business and Google Maps to identify crowded stores, restaurants and others at specific locations and time.
Earlier this month, Google released its first data set on COVID-19 Community Mobility. They used aggregated, anonymized data from users having their geo-location activated on their mobile.
If you want to read more about the research, head to my simple explainer.
The data I retrieved shows customers movement over time, specific geographic locations, and most visited places such as pharmacies, workplace, residential, among others.
Graphs that you will find in this article are as of Friday 17 April 2020.
Before going in the details, here is a digest of my analysis:
The graph above shows where Mauritians were actually spending most of their time before and after the lockdown. Here are few of my observations:
In this section, we’ll deep dive in more details regarding Mauritians’ movement before and after the lockdown in specific districts.
Statistics for Flacq district from baseline as at Friday 17 April 2020
Statistics for Grand Port district from baseline as at Friday 17 April 2020
Statistics for Moka district from baseline as at Friday 17 April 2020
Statistics for Pamplemousses district from baseline as at Friday 17 April 2020
Statistics for Plaines Wilhems district from baseline as at Friday 17 April 2020
Statistics for Port Louis district from baseline as at Friday 17 April 2020
Statistics for Rivière Noire district from baseline as at Friday 17 April 2020
Statistics for Rivière Noire district from baseline as at Friday 17 April 2020
Statistics for Savanne district from baseline as at Friday 17 April 2020
Statistics for Rodrigues district from baseline as at Friday 17 April 2020
The data used in this report are obtained based on popular times for places on Google Maps. These usually show the visits and length of stay at specific places, which are then compared to a baseline.
The data retrieved by Google is based on user settings, connectivity at particular places, and whether it meets Google’s privacy threshold.
The sample size is based on users who have opted-in to Location History for their Google Account.
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