Based on those I follow

How Twitter Usage Differs between Company Accounts and

Personal Accounts

@alexweberk

Method

@alexweberk

https://github.com/sferik/twitter

Tweets:● Between 8/22/15 12:34 and 8/23/15 14:33● Total of 1276 Tweets from accounts @alexweberk

followsSample is limited, and by no means representative of all tweets.

Used Twitter Ruby Gem to pull data

@alexweberk

Wrote quick script to pull attributes of interest:

# basic structure is based on this:timeline = client.home_timeline( options )

# the attributes pulled:headers = [ "tweet.id", "tweet.user.id", "tweet.user.screen_name", "tweet.created_at", "tweet.full_text", "tweet.favorite_count", "tweet.retweet_count", "tweet.user_mentions?", "tweet.hashtags?", "tweet.media", "tweet.url", "tweet.user?", "tweet.lang", "tweet.source", "tweet.user.name", "tweet.user.contributors_enabled?", "tweet.user.verified?", "tweet.user.website_urls.first.expanded_uri.to_s", "tweet.urls?" ]

# then for each Tweet in timeline, run and store values from headers

Results

@alexweberk

1. Company accounts tweet a lot more than

humans

@alexweberk

Company Accounts Tweeted 4.6x More

@alexweberk

Company Accounts Tweeted 4.6x More

Company Accounts simply tweeted a lot more on average

than Personal Accounts.

Almost around 4.6x more, in this case.

@alexweberk

@alexweberk

Distribution of account type of accounts I follow

Distribution of tweetsby account type

@alexweberk

Company accounts tweet a lot more than personal

accounts

@alexweberk

46% of the accounts I follow are Company Accounts, but they represent 79.8% of the

tweets in my Timeline.

@alexweberk

Filled with Tweets from Company Accounts

2. Company accounts have more tweets with

engagement.

@alexweberk

@alexweberk

@alexweberk

Company Accounts are better at getting engagement with their

tweets.

@alexweberk

Why?

@alexweberk

Possible Reasons

@alexweberk

They Use More Hashtags (=easier to get found by searches)

@alexweberk

They Use More Media in Tweets (images, etc)

@alexweberk

And, They Tweet A Lot More.

Same chart from earlier ->

@alexweberk

Summary:Ways of getting more engagement:

1. Use Hashtags (Easier to get found via search. Get on trends)

2. Use Media (Images are more eye-catching. It takes up more screen real estate.)

3. Lots of Tweets (At least some of them have to get attention, right?)

@alexweberk

3. Humans interact a lot more with each other

@alexweberk

@alexweberk

Humans mention each other a lot more

@alexweberk

DOIN’ IT RIGHT.

Humans mention each other a lot more

4. Humans don’t have a link in every single tweet

@alexweberk

Likelihood to Include URL(s) in Tweet

Personal Accounts Company Accounts@alexweberk

Likelihood to Include URL(s) in Tweet

Personal Accounts Company Accounts@alexweberk

95%

Likelihood to Include URL(s) in Tweet

Personal Accounts Company Accounts@alexweberk

This is a really huge difference across the two User Types, so

much so you can probably determine whether an account is a bot or not by the frequency

of links in its tweets.

Extras

@alexweberk

Power Law

@alexweberk

Distribution of favorites are heavily concentrated to the top performing tweets.

Winner Takes All - Favorite Count

@alexweberk

Distribution of favorites are heavily concentrated to the top performing tweets.

Winner Takes All - Retweet Count

@alexweberk

Twitter Client Data

@alexweberk

You can tell the twitter client used via the Twitter APIBuffer popularity is notable.

SocialFlow has large companies as users.

@alexweberk

Thank you!@alexweberk

Thank you!@alexweberkThis is a personal account! :)