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The Key Differences in Demographics for the Top 7 Social Networks

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In today’s multi-platform world, the smart businesses are tailoring their messages to audiences based on a variety of factors.

Of course, there are the benefits and limitations to each platform to be considered – but even more importantly, the audience and activity on each platform can differ considerably. The demographics of Pinterest vary from those of YouTube or Facebook, and content creators need to think about these fundamental differences in order to maximize user engagement.

Breaking Down the Top Social Networks

The following infographic comes to us from Tracx, and it dives deep into the demographic differences between the top seven social networks.

The Key Differences in Demographics for the Top 7 Social Networks

We noticed that Snapchat, owned by newly-IPO’d Snap Inc., is not included in the above infographic. While the growth of the $25 billion company has been extremely impressive, by some metrics it is still closing in on some of the smaller social networks (Twitter, Pinterest).

In any case, here’s what you need to know on the fast-growing, millennial-focused network.

The Missing Social Network

According to the most recent S-1 filing, Snapchat currently has 2.5 billion snaps created per day by an audience of 161 million Daily Active Users (DAUs) as of December 2016.

Here’s what growth looks like, on a quarterly level, for DAUs:

Snapchat User Growth

Some other interesting Snapchat stats?

  • Users who were 25 years old or older opened Snapchat around 12 times a day and spent 20 minutes a day in the app on average.
  • Users who were younger than 25 visited Snapchat more than 20 times a day and spent 30 minutes in it on average.
  • Millennials account for 7 out of every 10 Snapchatters.
  • Between 500,000 and 1 million Snapchat ads are seen per day.
  • About 70% of Snapchatters are female.
  • 30% of teens rank Snapchat as their most important social network.

Snapchat is already considered an important piece for companies looking to hit the North American millennial market. As a result, investors value the company over 2x more than Twitter, even despite Snapchat’s monetization problems.

The question is: how long can the growth continue – and when it stops, will it be a top three social network in North America overall?

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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