Why Export Your Twitter Data?
Twitter data can provide a wealth of insights, and exporting it can open up a world of opportunities. Here are some compelling reasons why thousands of users are choosing to export their Twitter followers and following lists:
- Backup: In the digital era, data loss can occur unexpectedly. Exporting your followers and following lists safeguards against such scenarios. Should something happen to your Twitter account, you’d have a comprehensive backup at hand. This allows you to restore your social media presence quickly and efficiently. Check out our weekly backup service.
- Analysis: Understanding your social media presence is crucial for growth. Exporting your followers and following lists enables you to analyze your Twitter interactions in depth. You can discover patterns, identify influential followers, track follower growth over time, and understand demographics better. Here’s a sample of some Twitter analytics we performed on @OpenSea. This can be particularly useful for influencers and businesses that want to tailor their content to their audience.
- Marketing: If you’re using Twitter for business or marketing purposes, having access to your follower and following data is invaluable. You can identify potential customers or partners, understand your audience better, and create targeted marketing campaigns. For instance, you might find that a significant portion of your followers are interested in technology. This can inform your content strategy, leading to higher engagement and potentially more conversions.
- Personal: Some users value having a record of their Twitter interactions for personal reasons. They might want to track their Twitter journey, see how their network has evolved over time, or simply keep a record for reminiscing in the future.
- Migration: Considering a move to another social media platform? Exporting your Twitter data can make the transition smoother. You can easily import your Twitter data to a new platform, ensuring you don’t lose the network you’ve built up. This can be particularly useful in the face of changing social media landscapes and user preferences.
- Competitor Analysis: Exporting Twitter data is not only about your own account. By exporting data related to competitor accounts or industry leaders, you can gain insights into their social media strategies, see how your account measures up, and identify opportunities for your own growth and engagement.
- Research: Academics, market researchers, and data scientists often export Twitter data for research purposes. The data can help to understand trends, track sentiment on specific topics, or even to map the spread of information in real-time. This can support scholarly articles, market research reports, or product development efforts.
- Brand Monitoring: Businesses can use exported Twitter data to monitor their brand’s online reputation. By analyzing mentions, retweets, and likes, businesses can understand how their brand is perceived, respond to criticism, and recognize opportunities for improvement or innovation.
- Influencer Identification: For businesses or marketers, exported Twitter data can help identify key influencers or advocates in their domain. These individuals could become valuable partners in promoting your brand or product.
- Network Analysis: By exporting your follower data, you can conduct a network analysis. This allows you to see how your followers are connected and identify key nodes in your network. Such analysis can reveal valuable insights about the structure and influence distribution in your Twitter network.
- Event Tracking: If you’re running a campaign, a sale, or an event, tracking Twitter data during that time and comparing it to regular periods can provide insights into the success of your promotional efforts. You can see if you gained more followers, if there was more engagement, and spot growth.
What does the data include?
Breakdown of the Follower/Following Data Download:
When you download your follower or following data, each entry will come with the following information:
- Id: This is the unique identifier for each user account, assigned by Twitter when the account is created.
- Name: This represents the user’s display name, which is visible on their profile and in their tweets.
- Username: The unique handle of the user’s account, preceded by the ‘@’ symbol.
- Created_at: The date and time when the user’s account was created.
- Protected: A boolean value that indicates if the user’s tweets are protected and only visible to approved followers.
- Withheld.country_codes: A list of country codes where the user’s tweets are withheld due to legal or policy reasons.
- Location: The location specified by the user in their profile.
- Url: The URL associated with the user’s account, such as a personal website or blog.
- Profile_image_url: The URL of the user’s profile image.
- Description: A brief description of the user’s account.
- Verified: A boolean value indicating if the user’s account has been verified by Twitter.
- Verified_type: The type of verification the account has.
- Followers_count: The total number of followers the user has.
- Following_count: The total number of accounts the user is following.
- Tweet_count: The total number of tweets posted by the user.
- Listed_count: The number of lists that include the user’s account.
- Pinned_tweet_id: The unique ID of the user’s pinned tweet.
- Text: The text content of the user’s pinned tweet.
- Author_id: The unique ID of the author of the pinned tweet.
- Conversation_id: The unique ID of the conversation thread of the pinned tweet.
- Pinned_tweet_created_at: The date and time when the pinned tweet was created.
- Lang: The language of the pinned tweet.
- In_reply_to_user_id: The unique ID of the user the pinned tweet is replying to, if any.
- Possibly_sensitive: A boolean value indicating if the pinned tweet contains sensitive content.
- Retweet_count: The number of retweets of the pinned tweet.
- Reply_count: The number of replies to the pinned tweet.
- Like_count: The number of likes of the pinned tweet.
- Quote_count: The number of times the pinned tweet was quoted.
- Source: The source or platform from which the pinned tweet was posted.
Breakdown of the Tweets Data Download:
Each tweet in the downloaded data will include the following information:
- Created_at: The date and time when the tweet was created.
- Id: The unique identifier of the tweet.
- Full_text: The full text content of the tweet.
- Truncated: A boolean value indicating if the tweet is truncated.
- Source: The source or platform from which the tweet was posted.
- In_reply_to_status_id: The unique ID of the tweet that this tweet is replying to, if any.
- In_reply_to_user_id: The unique ID of the user this tweet is replying to, if any.
- In_reply_to_screen_name: The username of the user this tweet is replying to, if any.
- Geo: The geographic location of the tweet, if any.
- Coordinates: The coordinates where the tweet was posted from, if any.
- Contributors: The list of user IDs who contributed to the tweet, if any. -Is_quote_status: A boolean value indicating if the tweet is a quote tweet.
- Retweet_count: The number of times the tweet has been retweeted.
- Favorite_count: The number of times the tweet has been favorited.
- Favorited: A boolean value indicating if the tweet has been favorited by the account downloading the data.
- Retweeted: A boolean value indicating if the tweet has been retweeted by the account downloading the data.
- Lang: The language of the tweet.
This comprehensive data can provide deep insights about the account’s Twitter activity and interactions.