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    6 ways to apply your Twitter data analysis findings


    Twitter Data | Twitter Analytics |

    7 min read

    6 ways to apply your Twitter data analysis findings

    Written by Rachel May Quin

    Jan 14, 2015 1:34:58 PM

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    You’ve got your microscope at the ready, your lab coat and protective goggles on and you’re staring into a sea of data that could help change your marketing strategies for the better. So what now? With some clever Twitter data analysis tips, you can apply your data analysis findings to your Tweets, campaigns, and Twitter marketing strategies. Allow us to take the guesswork out of Twitter data for you! Take your data analysis skills to the next level and optimize your Twitter activity with our six pro tips for using the Twitter Analytics platform and Audiense in harmony.

    P.S. The insights and tips we want to share with you require access to Twitter Analytics, combined with Audiense. If you don’t already have a Audiense account sign-up for a free account.

    1. Use Twitter data to further define your buyer personas.

    With the right tools Twitter data analysis can help you gain insight into your current Twitter community, which can be used to help you outline and define your target personas. Applying Twitter data analysis techniques to a Twitter community opens the additional insight into the type of people your Twitter marketing is attracting and help you further define their profiles with information such as; what they’re interested in, where they’re located, and more.

    Twitter Analytics

    Twitter Analytics - accessible to all Twitter users - can show you the percentage of followers with particular interests, based on what they Tweet about (see the image below).

    Pro Tip: Audiense

    Thanks to Twitter Analytics, we now know that 31% of our Twitter community are interested in marketing. This information can be taken, and cross-referenced with the ‘Followers Bio Tag Cloud’ in Audiense. This data is gathered from the Twitter bios of your followers, and shows you the most common keywords cropping up among your community, to help you build personas of the users you’re interested in targeting.

    Combine this new insight from both Twitter Analytics and Audiense for precision targeting. Search using these keywords and add new users to a list, or target them as a tailored audience in your next campaign. Using Twitter data analysis to fine-tune your targeting ensures you’re connecting with Twitter users that could have a real interest in your business and are more likely to become a customer.

    2. Analyze the reach of your Tweets to discover when your community is online.

    The best way to optimize the engagement of your Tweets is to find that magic time when the majority of your community are online! After all, what’s the point of Tweeting if there’s nobody around to see it? To achieve maximum exposure of your content, you need to know more about how many people your Tweets are reaching, and when your Twitter community is online and adjust your Tweeting schedule accordingly.

    Twitter Analytics

    Twitter Analytics gives you a general overview of how well your Tweets are performing in terms of impressions (see image below) and engagement. Impressions indicate how many times your Tweets appear in a user's timeline and can be seen. This bar chart of impressions over the last month gives you a good indication into how your content is performing, and areas for improvement. We can see here that impressions are poor at the weekend: is this because people aren’t there to engage with it or because you don’t Tweet at the weekend? Making changes to your Tweeting schedule based on this data could improve exposure and impressions.

    Pro Tip: Audiense

    The data from Twitter Analytics offers an idea of your potential impressions over a period of time. On Twitter, timing is everything to ensure that your content doesn’t go to waste. Audiense can dig deeper into the behavior of your audience and provide a personalized Best Time To Tweet based on your top followers. You can export this information directly into Buffer or Hootsuite to automatically adjust your content schedule to post at the best times throughout the day. Using the Best Time To Tweet tool to cleverly plan your content schedule allows you to optimize your reach and potential impressions.

    स्रोत : resources.audiense.com

    How to Analyze Twitter Data

    Learn how to analyze Twitter data on the native platform and Sprout Social to showcase the benefits of tracking in-depth analytics.

    How to analyze Twitter data

    Alex York Written by by Alex York Published on December 10, 2020 Reading time 8 minutes

    With a 280-character limit, it’s easy to think of Twitter as a basic platform. But the fact of the matter is numerous marketers see success in their social media marketing strategies by paying closer attention to Twitter analytics.

    Whether it’s Tweets, impressions, engagements or clicks, there are several metrics that give you additional insights into how well you’re resonating with your audience. A common problem for companies is they don’t know the best route to take when analyzing Twitter data. This means brands have no idea why a piece of content did extremely well or fell flat.

    Looking into the data not only shows you what was working, but it gives you more insights to be successful on your next campaign. That’s why brands are increasingly turning to social data as a key source of business intelligence to help drive marketing decisions and provide crucial insights across the organization.

    Understanding how to analyze Twitter data thoroughly helps keep your brand out of the dark. Collecting data shows you how a campaign performed and the trends to follow in the future.

    What Is Twitter Data?

    Twitter data is the information collected by either the user, the access point, what’s in the post and how users view or use your post. While this might sound somewhat vague, it’s largely due to the massive amount of data that can be collected from a single Tweet.

    With this information, you can know demographics, total clicks on your profile or how many people saw your Tweet. This is just the tip of the iceberg, but understanding the data allows you to know how it’s used and the patterns of your content.

    How to Measure Twitter Data

    Measuring your Twitter data can be done through different avenues. Depending how robust you want your analytics, there are diverse options to give you oversight or in-depth analysis. In this article, we’ll talk about the two ways we recommend pulling and measuring your Twitter data:

    Using Twitter Analytics

    Twitter’s built-in analytics tool gives you access to additional data beyond shares, likes and Retweets. Over the past few years, Twitter continues to improve its analytic features for advertisers, marketers and the general public.

    This makes it easier for businesses working on a tight social media budget, but need the data for upcoming campaigns. According to eMarketer, roughly 66% of businesses use Twitter for marketing efforts. The agency shows this number is only expected to grow over the next few years, which means Twitter will continue to put emphasis on analytics.

    As of now, Twitter breaks up your analytics into five main sections:

    1. Account Home

    Twitter provides a robust monthly review for users to see the performance of their content. Some of the data you can see from the home section includes:

    Tweets: Total number of Tweets you sent.Tweet impressions: Total number of times a user was served your Tweet in their timeline or search results (including whether it was seen or not).Profile visits: Total number of times your profile was clicked on from your Tweets or through search.Mentions: Total number of times your Twitter handle has been used in other users’ Tweets.Followers: Total number of followers, plus how many new followers you’ve gained since the previous period.

    These metrics do a great job at showing traffic, views and trends. Straight from your Twitter Analytics dashboard, you can see month-to-month trends with the collected Twitter data.

    2. Tweet Activity

    Tweet activity gives you a broad view of the number of Tweets and organic impressions (not including promoted impressions) for a specific day or time period. Through the Tweets section, you can also export the data from your Twitter profile to a CSV file and choose your specific timeframe.

    Make sure you always track and monitor this information in some sort of spreadsheet to better see trends and significant changes. Additionally, you can view your top, promoted, replied or all Tweets from your profile. Once you select a view, you see the specific Twitter data associated with each Tweet. These metrics include:

    Impressions Engagements

    Engagement rate (total engagements divided by impressions)

    Clicking on “View Tweet Activity” on an individual Tweet you can get more details on the types of engagement you received. You’ll see metrics such as replies, Retweets, profile clicks and others depending on the type of content you’re sharing:

    स्रोत : sproutsocial.com

    Very simple application is rejected. Which guideline I violate?

    My mobile application simply creates two lists: Your followers who you are not follow back Followings who does not follow you Users can follow/unfollow that users one by one. After 8 long years my account has been su…

    Twitter Developers

    Heads up: we’ve moved our announcements for the Twitter Developer Platform to the Twitter Developer Blog.

    For announcements related to the Ads API, you can still check out the forum here.

    Read more

    Very simple application is rejected. Which guideline I violate?

    Developer Portal emre Aug '19

    My mobile application simply creates two lists:

    Your followers who you are not follow back

    Followings who does not follow you

    Users can follow/unfollow that users one by one.

    After 8 long years my account has been suspended.

    I tried to apply another account but it is rejected super fast. I violate something. But I have no idea what it is?

    Here is my apply details:

    Application Type: Hobbyist → Building tools for Twitter usersDescription: We want to use Twitter API for provide friendship analyze to our mobile application’s users like followers, following lists with a comparison list like “Who are not following you in your follow list”. We will also use create/destroy friendship endpoints to make an action.Are you planning to analyze Twitter data?


    We will only analyze authenticated users friendships to create “Who follows me and I’m not following back” and “Who does not follow me but I follow”

    Will your app use Tweet, Retweet, like, follow, or Direct Message functionality?


    We will only use friendships/create and friendships/destroy functions. We are planning to add like/unlike functions too, but not near feature

    So, do you guys have any idea why my app/account rejected?


    Aug '19

    last reply

    Aug '19 4








    3 IgorBrigadir

    Twitter Developer Insider

    Aug '19

    I’m guessing it might have been part D of this Twitter's automation development rules | Twitter Help 33

    Automated following/unfollowing: You may not follow or unfollow Twitter accounts in a bulk, aggressive, or indiscriminate manner…Automated adding to lists or collections: You may not add Twitter users to lists or add Tweets to collections in a bulk or indiscriminate manner…

    One way to make an app that complies may be to not make the lists you create public, so that they don’t generate a notification, and removing the feature to allow people to follow / unfollow in bulk - instead, link to the profile where the users have to use the web interface to follow / unfollow.

    emre Aug '19

    Actually there is no bulk follow/unfollow operations. Users can do that one by one. It has same ui functions like twitter ui.

    We are not create lists on Twitter. We create lists on our application.

    So, showing followings who does not follow you back is not a violation. I will create new account and i will try again with more details. I will update you. Thank you for help.

    emre Aug '19

    It is rejected again. No clue. No rejection message. They just say, “We are unable to serve your use case at this time.”

    Here is my apply:

    In English, please describe how you plan to use Twitter data and/or APIs. The more detailed the response, the easier it is to review and approve.

    We have a mobile application named [appName]. Users who authenticated with Twitter can see their followers who they don’t follow back and also of course opposite way (who I follow but not follow me). Users can follow or unfollow other users one by one. That’s all. There is no automated operations.

    Are you planning to analyze Twitter data?


    Please describe how you will analyze Twitter data including any analysis of Tweets or Twitter users.

    We have very simple algorithm.

    1 - Fetch followers lists

    2 - Filter user ids in followings

    3 - Fetch usernames and profile pictures.

    4 - Show results to user

    We don’t send any data to our servers (We actually don’t have servers). Everything happens in user’s device.

    Will your app use Tweet, Retweet, like, follow, or Direct Message functionality?


    Please describe your planned use of these features.

    We only have follow and unfollow buttons for every user in analyze results. That’s all. There is no tweet or message functions.


    CLOSED ON AUG 30, '19

    This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.

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    Guys, does anyone know the answer?

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