How can you use twitter to know which geographies to target your customers through twitter?
And if the ones you are using are effective? or not?
We had the same question and we analyzed twitter ‘location’ data to find the answers. The data we obtained had approximately 3.5 million records which had the location field from each user’s twitter account.
How to Benefit From This Analysis?
1. Check twitter usage in your target geographies.
2. Which target geographies do not use twitter as much as you would like? (means that your message through twitter is not reaching your target audience)
3. Which new geographies can you reach using twitter?
4. How do you reach your target geographies that twitter does not have a presence in?
From the cloud we can clearly deduce that USA has the largest users followed by Brazil, UK, Germany, Canada and Australia. When it comes to US states, CA, NY, Texas, Florida have more users.
More Insights at the Country Level
As we have already seen in the above picture that USA, Brasil, UK and Germany visibly dominate the word cloud, we dissected the data further for each country.
While it is not surprising to see that CA (and “California”) has a huge influence on the cloud. This is followed by NY, Texas, Florida, Pennsylvania (PA), Illinois which is the next most populous state in the US has lesser influence on the cloud than Ohio, Georgia and North Carolina.
The ten most populous states in US are consistent with the top 10 states by frequency in the word cloud except Illinois.
UK too follows a similar trend. Though Midlands has a greater population than Greater Manchester, Manchester has more users in the cloud than Midlands while the frequency for other counties or cities like Yorkshire, Essex and Liverpool is in sync with its population.
Similar look at places in Germany shows an interesting insight. NRW also known as North Rhine-Westphalia leads the way followed by Berlin, Bavaria, Cologne, Hamburg and Frankfurt. It is also interesting to see that people who live in Germany and also USA are significant in number as they have listed down both Germany and USA in their location field.
We can also further delve deep into the data to find the cities in a particular state rather than a country. The word cloud below shows the cities in California.
As expected, Los Angeles dominates the cloud followed by Bay Area, San Diego, San Francisco and San Jose.
We have provided you a PDF version of all the images, created under Creative Commons License, which will give you the ability to zoom in and see the all the locations that are in the cloud. The more you zoom in, the more words you will be able to see.
How we did it?
We obtained a total of 3.5 million twitter users’ ‘location’ records for our analysis. Because there was a lot of unwanted data in the database that we obtained (a lot of the user locations have been filled with the latitude and longitude positions via iPhone and other mobile service providers), we cleaned the data to remove any redundant items. We finally retained data without any numbers or character symbols.
Number of words in the cleaned records: 7.99 million
Number of records after cleaning: 3.64 million
Initial number of records: 3.87 million
Sample Snapshot of the data we obtained
About the authors: Chaitanya Sagar is the CEO of Perceptive Analytics and Raj Nihar is a Senior Business Associate at Perceptive Analytics. Perceptive Analytics is a Data Analytics Company focused on Sales and Marketing and Finance. Our approach is to develop deep domain expertise and do rigorous analysis so we can develop strategies to keep you ahead.
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