This post was originally published on October 15, 2014, and we have just updated it with the latest information and screenshots of Twitter analytics. 

We social media marketers are a lucky bunch; not only are there a gigantic number of free social media tools at our disposal (everything from timing tools to social media management tools like Buffer), there are free tools from the social networks themselves: Facebook Insights, Pinterest analytics, and now Twitter analytics, too.

We now have tons of information on hand.

The ideal next step: Knowing that we’re looking at the right numbers and drawing the right conclusions from the data, simply and easily.

When it comes to Twitter analytics and Twitter metrics in general, I’ve done a bit of research into what exactly we can learn — as straightforward as possible — from all the awesome numbers Twitter displays. Read on to see what I’ve come up with and if you can gain some insights from these stats, too.

Twitter Analytics - Header image

The Best Tools to Discover the Best Twitter Stats

I’ve found a lot of value in a couple simple tools for discovering the best stats and analytics for Twitter. Here are my go-to Twitter reporting tools.

  1. My social media management dashboard (Buffer)
  2. Twitter’s analytics dashboard (Direct link: https://analytics.twitter.com)

In my experience, the two dovetail nicely together.

With my Buffer dashboard, I can get a quick view of the essential stats for my latest tweets — all right in the same place where I do my publishing and scheduling.

If I’d like a bit deeper analytics, I can hop over to the Analysis Report of the dashboard (one of my favorite Buffer for Business features), find the updates that were hits the first time around, and easily drag and drop to reshare — with a twist —to my Twitter timeline.

Buffer's drag-and-drop

Want to try this with your top tweets? Start your 14-day free trial of Buffer for Business!

My Buffer dashboard (or whatever management dashboard you use for your social media marketing) gives me an excellent top-level view of what’s happened on Twitter — a macro view of my tweets.

Twitter’s analytics take things to a more detailed, micro level.

With Twitter analytics, I can see impression numbers — i.e., how many times my tweet showed up in people’s feeds. You can get even more detail with breakdowns of when and where each of these impressions happened. Same goes for click stats and engagement metrics (Likes, retweets, etc.). Twitter analytics tells you where on the tweet and where on the network that someone clicked or engaged with your tweet.

Tweet analytics

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How to access Twitter Analytics

Twitter analytics is open to everyone. If you tweet — whether as a company, brand, or individual — you can get full Twitter analytics on your tweets and followers.

Click on your profile photo in the upper-left corner of your Twitter page and select “Analytics”.

Navigating to Twitter Analytics

Alternatively, you can access your Twitter analytics through this direct link: analytics.twitter.com.

Once you access Twitter analytics for the first time, Twitter will start to pull impression and engagement data for tweets. If your analytics dashboard seems a little bare at first, give it time.

The instances where you should be able to access analytics would be:

  • Account primarily tweets in Arabic, Brazilian Portuguese, Danish, Dutch, English, Filipino, Finnish, French, German, Indonesian, Italian, Japanese, Korean, Norwegian, Russian, Simplified Chinese, Spanish, Swedish, Thai, Traditional Chinese, and Turkish
  • Account is at least 14 days old
  • Account does not violate policy
  • Account is not deleted, restricted, protected, or suspended

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17 Most Useful Twitter Analytic Stats Used by The Pros

I’ve found a lot of inspiration in the way that others have used Twitter analytics to find the stats and insights that help them tweet better. Here is my collection of 17 favorites, as well as how you can find these stats for your Twitter profile.

  1. Monthly performance overview
  2. Trend insights
  3. Average tweet performance for benchmarking
  4. The top 10 interests of your followers
  5. Type of engagement
  6. Your most significant sharers
  7. Engagement rate
  8. Twitter Like rate
  9. Tweet length vs. engagement
  10. Tweet reach percentage
  11. Tweet reach, including your retweets
  12. Hashtag comparison
  13. Impressions by time of day
  14. Clicks, retweets, & replies by time of day
  15. Engagement rate by time of day
  16. Best days for total engagement and engagement rate
  17. Video completion rate

(Bonus: I’ll be happy to share all the Buffer insights, too.)

Most Useful Twitter Analytic Stats Used by The Pros

1. Monthly performance overview

What are your top tweets?

On the homepage of your Twitter analytics, you’ll get a 28-day summary of your Twitter account and a summary of each of the previous months.

The monthly summary is a great way to get a quick overview of your Twitter performance for each month. On the left, you’ll see your tweet highlights, which includes:

  • Top tweet: The tweet that received the highest number of impressions
  • Top mention: The tweet that mentioned your @handle and received the highest number of impressions (This can include other people’s tweets)
  • Top follower: The account with the highest follower count that followed you in the month
  • Top media tweet: The tweet with photo or video that received the highest number of impressions
  • Top card tweet (if you use card tweets): The tweet with a Twitter Card that received the highest number of impressions (This can include other people’s tweets)

Here’re a few ways you can use these insights:

  • Top tweet/media tweet: Reshare it in the following month — with a new copy
  • Top mention: Retweet the tweet
  • Top follower: Reach out, thank the person for following, and start a conversation

On the right, you’ll see a few key stats of your Twitter account for the month. These numbers are great for reporting purposes — to show your monthly performance and determine month-on-month growth.

Monthly performance overview

If the month is not over, Twitter will show you the data for up to the current date of the month.

How to find this for your profile: Go to analytics.twitter.com, and it’ll be right there!

2. Trend data

How are your social media strategies playing out?

When we focus on the day-to-day activities of social media, we can sometimes miss out on the bigger picture. Taking a step back and looking at the trends of our social media performance can inform us if our strategies are working out in the long run.

Is there a general upwards trend? Or is it flat?

Once you spot any trends of your Twitter performance, it can be helpful to dig into and understand the trends. Here’re a few helpful questions you can try to answer:

  • What caused any spikes or valleys?
  • When will we reach the next milestone?
  • Where will we be in the next (x) days or months?
  • What factors are we not accounting for?

How to find this for your profile: In the Analysis Report of your Buffer Analytics tab, you can get graphs of several metrics such as clicks, Likes, and followers.

Buffer Analytics - Analysis

(The spike in clicks was due to the launch of our new online social media strategy class.)

If you prefer using the native Twitter analytics dashboard, you can find the trend data for five engagement metrics on the right of the “Tweets” page.

3. Average performance for benchmarking

How are your tweets performing against your goals?

As seen in the graph above, Twitter stats tend to fluctuate on a daily basis. This makes it challenging to compare your performance for a period (e.g. a month) with the period before.

A good solution for this is to use averages.

Averages smooth out the fluctuations to make comparisons easier. You can easily compare your average tweet performance for this month with the previous month and quickly determine if your Twitter performance has improved.

How to find this for your profile: You can find your averages on the right of the “Tweets” page in your Twitter analytics dashboard. They are right below each of the graphs.

Average

Once you have found your averages, you could use them to set your social media benchmarks and analyze your performance.

4. The top 10 interests of your followers

What topics resonate your followers?

Alex Bossenger of Social Media Examiner wrote a great overview of what all you can get from Twitter analytics. I often think of Twitter analytics as the data behind the tweets. But there’s complete data behind followers, too!

Twitter shows you the top 10 interests of your followers. There’s a little bit of mystery behind how Twitter finds this number. The official word from Twitter’s documentation is

The top interests that distinguish your followers from the Twitter average

Use these interests as a good guideline for content and ideas, even if the scientific explanation isn’t obvious.

Audience interests

How to find this for your profile: Go to analytics.twitter.com and click on ‘Audiences’ in the menu at the very top of the page. Interests will be on the main followers dashboard.

If you want to learn more about your followers, you can click over to the “Demographics” or “Consumer Behavior” tab to see their age group breakdown, country, buying styles, and more.

5. Type of engagement

Are you being retweeted or liked?

If you happen to see that your engagement numbers are really high for a particular handful of posts, does that mean that each of these posts performed the same? There’s likely more to the story.

You can get deeper into engagements by noticing what specific types of engagements took place. For instance, were they retweets or likes?

Retweets can be a sign of value. Someone found your tweet valuable enough to share with their audience.

Likes can be a sign of appreciation. Your tweet resonated with someone else, and they wanted to give a virtual high-five.

Both metrics count as engagement. Both tell a unique story.

Type of engagement

How to find this for your tweets:  You can access this breakdown quickly and easily for an individual post straight from your Twitter analytics dashboard; click on ‘Tweets’ in the top nav bar and then click on ‘view tweet activity’ for any tweet from that list.

Outside of your Twitter analytics dashboard, you can also get this breakdown by clicking on the bar chart icon on the tweet you are interested in.

View tweet activity

6. Your most significant sharers

Which influencers are sharing your content?

The example I used in the above stat — the tweet with a high number of retweets — the total potential audience was over 1,000,000 users.

We certainly do not have 1,000,000 followers on Twitter, so there must have been some influential folks who retweeted the content. Fortunately, there’s an easy place to check this — and then work on follow-up and thanks to those who shared.

Here’s how to find this for your tweets: From the Posts Report of your Buffer’s Analytics tab, find the tweet you want to analyze. Hover your mouse over the Retweets stat and click.

Bingo! The stat expands to show everyone who has retweeted you plus their follower count.

For instance, in the example below, we owe a huge thanks to all who retweeted, and I can see that a few people made a big impression.

Retweets

7. Engagement rate

Which posts resonate the most?

There are a couple murky stats that could trip you up in Twitter’s tweets dashboard. (See below for details.) Engagement rate isn’t one of them.

It’s super helpful because it shows the number of engagements divided by impressions.

In other words, out of everyone who saw the tweet, what percentage of people did something with it.

Twitter counts engagement anytime someone clicks anywhere on the tweet, including:

  • retweets
  • replies
  • follows
  • favorites
  • links
  • cards
  • hashtags
  • embedded media
  • username
  • profile photo
  • tweet expansion

How to find this for your tweets: Visit the tweets dashboard, and look in the far right column in the table of tweets. Engagement rate will be listed after Impressions and Engagements.

Engagement rate

You can also get this information — and much more — in the exported data offered by Twitter analytics.

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Get Your Spreadsheets Ready!

The rest of the stats here will reference the exported Twitter data, so get your spreadsheets ready!

From the dashboard, go to “Tweets” and click the export button in the upper-right corner.

Export Twitter data

Take the downloaded file and import into Excel or Google Sheets. It will look something like this spreadsheet.

Twitter will show you data for up to 3,200 tweets, including a breakdown of all impressions and other engagement numbers.

Pro tip: You can remove all of the @-replies from the spreadsheet by sorting the “Tweet text” column alphabetically and deleting the rows that begin with an @ symbol.

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8. Twitter Like rate

What are your best tweets?

Dan Shure of Evolving SEO came up with a unique stat that can help you predict the success of a piece of content. He calls it favorite rate (or perhaps now, Like rate).

Twitter users hand out favorites for any number of different reasons, and one of those could be that they quite like the idea you express in a tweet. Like rate helps surface the best ideas. It measures favorites by way of impressions, highlighting the posts that received the most love relative to how many people saw it.

Here’s the way that Dan ties it all in to content creation:

For Twitter, it’s probably safe to assume that tweets that people have favorite would make for good article, blog posts, tools, ideas – because your audience has told you they like the idea with their engagement. At the least, the contents of those tweets for some reason got their attention.

How to find this for your tweets: Divide likes by impressions. Format the resulting data as a percentage. Voila!

9. Tweet length vs. engagement

What is the ideal length for your tweets?

We’re always keen to learn data on the ideal length of tweets, so this one could prove really insightful.

What you’ll learn from this is exactly how the length of your update impacts the way your audience interacts with it. Are they blind to long, 140-character updates? Do they prefer short or medium? Once you pick up on the general trends, you can even drill deeper to see what kind of engagement (for instance, retweets vs. favorites) happen at each particular length.

How to find this for your tweets: To find this stat, you’ll need to add a new column to your spreadsheet.

Create a new column, and copy this formula into the cells:

=LEN(A1)

(Change “A1” to be the cell that contains the tweet text.)

The above formula will give you the character count of the tweet, including any article URL and image URL. (Image URL are not counted in your tweets so this character count might exceed 140, which is okay since we are mostly interested in any general trends than a precise character count).

To get the word count, try this formula:

=IF(LEN(TRIM(C2))=0,0,LEN(TRIM(C2))-LEN(SUBSTITUTE(C2,” “,””))+1)

Armed with this data, you can then compare your engagement with your tweet length. One neat way to do this is to run a scatter plot with the data in the Engagement column and the Length column.

Here’s the data for our last 150 Buffer tweets (excluding viral tweets).

Character count vs engagement

10. Tweet reach percentage

How many of your followers do you reach?

Facebook reach is a rather ballyhooed statistic. Now that we have impression data from Twitter, we can essentially find the same stat for tweets.

One of the best takeaways from this stat is that you’ll discover whether or not you should be resharing your tweets multiple times in order to hit more of your audience (chances are, you should be resharing).

How to find this for your tweets: Since you already have your impression stats, you simply need to divide impressions by total followers.

Make a new column in the spreadsheet, and add this formula for each tweet:

=Impressions/Total Followers

Tweet Reach Percentage Calculation

(802,920 is the number of followers we have during the calculation. Your follower count will likely have increased throughout the period of your analysis. Use your latest follower count to give you more conservative calculations.)

Once you have this column, you can calculate the average reach for all your tweets. On our @Buffer account, we reach about 2 percent of our followers on average with each tweet.

(One area this statistic won’t take into account is the effect of viral sharing. Impressions may include people who do not follow you, so the actual percentage reach of your followers can be a bit skewed, especially if you’re promoting tweets. We’re also making a general assumption that a person is only seeing our tweet once.)

11. Tweet reach, including your retweets

How many people can your tweet potentially reach?

I mentioned above that Twitter analytics might not account for a complete view of potential reach, especially if you’ve been retweeted. Here’s where the Buffer dashboard and Twitter dovetail nicely.

How to find this for your tweets: In your Buffer’s Analytics tab > Posts Report, you can view the potential reach of your post — your followers plus the followers of those who retweeted you.

Potential reach

Buffer for Business provides an export of this data that includes the specific number of potential users who saw the tweet (e.g., 1,513,289 as opposed to 1.5m).

Armed with this data, you can do one of two things:

  1. Figure out the specific reach of an individual post.
  2. Figure out the specific reach of all your posts.

To accomplish this, divide the “Impressions” data from Twitter analytics by the “Potential” data from Buffer. For individual posts, you can compare 1:1 — the individual post’s impressions divided by its potential reach (i.e. out of the actual potential reach, how many people saw the tweet). For the total of all posts, you can collect the information in a spreadsheet, total each of the columns, and perform the impressions per potential calculation on the totals.

12. Hashtag comparison

How do Impressions, Engagement, and Engagement Rate compare?

Let’s say you often tweet with a go-to group of hashtags, for instance #socialmedia, #seo, and #inbound. With Twitter analytics, you can see which of these tags performs best.

How to find this for your tweets: Filter your spreadsheet using a quick search of the tweet text for the desired hashtag.

For instance, this is what the filter would look like for the #socialmedia.

filter hashtag

With the resulting cells, grab the average impressions, engagement, and engagement rate (and whatever other metrics you may want to track). Mark these averages in a separate worksheet.

Then do the same filter and averages for your other hashtags. Add these stats to your worksheet and compare the hashtags to one another.

13. Impressions by time of day

What is the best posting time to maximize impressions?

Tomasz Tunguz of Redpoint came up with some really useful ways to break down his Twitter stats. The following handful of stats come courtesy of Tomasz. (You can see his personal Twitter insights in his full blogpost.)

First off is impressions by the time of the day.

Basically, what time of day is best to post in order that the most people will see a tweet?

Followerwonk and Tweriod are a couple of Twitter tools that can help you find this answer, based on when your followers are likely to be online. Digging into your Twitter analytics will tell you the best time based on how your tweets have performed in the past.

How to find this for your tweets: In your exported spreadsheet, change the formatting of the Time column to view the numbers as minutes/hours instead of the full timestamp.

Here’s a formula that will pull out just the date and time from the full timestamp.

=ArrayFormula(mid(D2:D,1,16))

You can paste this into the top row of a new column. The ArrayFormula will fill down the data into the entire column. Once this data is there, copy it to your clipboard and “paste as values” into a new column (preferably on a new sheet to keep things clean). This will allow you to format the numbers as you see fit.

Once you have the date and time formatted correctly, you can begin analyzing the data.

Another trick you might want to try is rounding the time to the nearest hour and then comparing the impressions at the hour level. Here’s the formula:

=ROUND(A2/(1/24),0)*(1/24)

(Change “A2” to be the cell that contains the tweet time.)

Once you have the time in hours, you can put together a pivot table (with the row set to Time and the value set to average impressions) to compare the time to average impressions of tweets.

Impression by hour

14. Clicks, retweets, & replies by time of day

What is the best posting time to maximize clicks, retweets, or replies?

Is there a particular time of day when your followers enjoy clicking to read what you’re sharing? How about retweeting?

In Tomasz Tunguz’s case, he found that people clicked at a higher rate over breakfast or during a commute to work.

Readers are most likely to click on an embedded link in the morning. 6am just as successful as 8-10am.

How to find this for your tweets: Same as above, except sort and filter from the clicks, retweets, or replies column.

15. Engagement rate by time of day

What is the best posting time to maximize engagement rate?

How well-liked are your posts at different times of day? Impressions and views are always a nice metric to keep an eye on, and you’ll probably also be interested in how engaged your audience is with your sharing. This stat can be helpful in figuring out when your followers are most engaged during the day.

How to find this for your tweets: Same as above, except sort and filter from the engagement rate column.

16. Best days for average engagement and engagement rate

Which day of the week is best for engagement?

A.J. Kohn of Blind Five-Year-Old has a number of neat stats to seek out, many based on the best day to tweet. The next few ideas below are inspired by A.J.’s testing and tweaking.

Starting with the best days for average engagement per tweet, this can tell you when to maybe bump up your sharing schedule on a certain day to take advantage of a more fully engaged audience.

You can also check engagement rate to see which day of the week an individual post stands to perform best in terms of engagement rate.

How to find this for your tweets: Like we did above for the impression by time of day, we’ll need to make a new column in the spreadsheet and add a formula:

=CHOOSE(weekday(A2), “Sun”, “Mon”, “Tue”, “Wed”, “Thu”, “Fri”, “Sat”)

A2 should be changed to reflect the cell where the tweet’s date is stored. The formula will extract the day of the week from the date.

Now you can sort and filter the engagement column and the day column. Try placing this data into a pivot table, with the column set to Day and the value set to Engagements.

Here’s how average tweet engagement per day looks for Buffer.

Average Engagement vs Day of Week

For engagement rate, you can also perform the same set of steps as above, except sort and filter from the engagement rate column.

Here’s how engagement rate per day looks for Buffer.

Average Engagement Rate vs Day of Week

17. Video completion rates

What percentage of viewers watched the whole video?

Videos are becoming a popular content format on many social media platforms, including Twitter. To help you create better Twitter videos, Twitter created a new analytics dashboard for your videos. As this feature is still under beta testing, it might change (and get even better) in the future.

Apart from the video view count, Twitter provides another powerful stat: Completion rate — the total number of complete views divided by the total number of video starts.

In other words, out of everyone who watched the video, what percentage of people watched the entire video.

How to find this for your tweets: In your Twitter analytics dashboard, select “More” from the top nav bar and then “Videos (beta)”. Look at the far right column in the table of tweets. Completion rate is listed after Video views.

Video completion rate

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The most helpful data on your tweets dashboard

Tweets Dashboard

Much of the information you’ll see on your Twitter dashboard looks great and helpful. You can certainly draw many great conclusions from it.

The most helpful report in my experience is engagement rate. It tells you the relative value of the engagement numbers you see. (The engagement rate graph is highlighted in the screenshot above.)

The other graphs on the main dashboard page provide you the raw numbers by day, which is great info to know. Keep this in mind, though: Your post volume on any particular day will have a huge impact on the numbers you see here.

For instance, if you typically post eight times per day and you have a Tuesday where you only post four times, you can expect Twitter to report that most of your tweet stats have gone down for that Tuesday when, in fact, the stats at the per-post level could very well have stayed the same or even improved.

Just something to be mindful of as you’re looking at your dashboard from a big-picture perspective.

Helpful definitions for what you’ll see on your dashboard

Once you’ve exported your Twitter stats, you’ll likely see a bunch of columns that might not be immediately familiar. Here are some helpful definitions:

  • App install attempts: Clicks to install an app via the Tweet’s Card
  • App opens: Clicks to open an app via the Tweet’s Card
  • Detail expands: Clicks on the Tweet to view more details
  • Embedded media clicks: Clicks to view a photo or video in the Tweet
  • Engagements: Total number of times a user interacted with a Tweet. Clicks anywhere on the Tweet, including Retweets, replies, follows, likes, links, cards, hashtags, embedded media, username, profile photo, or Tweet expansion
  • Engagement rate: Number of engagements divided by impressions
  • Follows: Times a user followed you directly from the Tweet
  • Hashtag clicks: Clicks on hashtag(s) in the Tweet
  • Impressions: Times a user is served a Tweet in timeline or search results
  • Leads submitted: Times a user submitted his/her info via Lead Generation Card in the Tweet
  • Likes: Times a user liked the Tweet
  • Link clicks: Clicks on a URL or Card in the Tweet
  • Permalink clicks: Clicks on the Tweet permalink (desktop only)
  • Replies: Times a user replied to the Tweet
  • Retweets: Times a user retweeted the Tweet
  • Shared via email: Times a user emailed the Tweet to someone
  • User profile clicks: Clicks on the name, @handle, or profile photo of the Tweet author

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What is your favorite Twitter stats?

First off, it’s amazing that Twitter has handed over such detailed analytics to users on the engagement and statistics behind tweets.

If you haven’t yet, access your Twitter analytics dashboard now (it’s free and easy), and have a look around.

When you’re ready for the next step, try out one of the 17 vital Twitter stats above and see if what you discover might help you tweet better. Need a starting point? I found the statistics per day and per hour were most fascinating to me.

What Twitter stats have you come across for your profile? Which of the above have you tried or are you interested in digging up? I’d love to hear from you! Please do share in the comments.

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Written by Kevan Lee

Director of marketing at Buffer, the social media publishing tool for brands, agencies, and marketers. We’ve got a new podcast! 🍟

  • Shelley Howe

    Hi Kevan,
    Great article as always! I’m particularly interested in #4 – information per tweet, because that’s how we have to store our records (by conversation thread, rather than stats per month).
    Unfortunately I’m not having any luck finding any tweets in my twitter ananlytics dashboard, do you know why that might be? The data is there when I export to csv, but in the dashboard there are no tweets to click on for more info..? Our organisation is fairly new to twitter (and very risk-averse), so we don’t have a huge amount of activity (10-30 tweets per month), could it just be that we are not making enough of an impression?
    Thanks,
    Shelley.

  • Fantastic & comprehensive post Kevan. Some nifty ideas there for getting a razor sharp focus on what’s going on with your Twitter account – which can get very overwhelming at times!

    I’d be interested to find out if you’ve ever gone through this analysis process, found something surprising – implemented a change based on that finding and seen a dramatic surge in engagement?

  • Albert Freeman

    It’s worth bearing in mind with number 7 (Tweet length vs. engagement) that the inclusion of a link and/or a picture will have a bearing on engagement. So, it is difficult to use this formula purely as a way of judging the success of a tweet based on its length.

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  • Brian Cruickshank

    Hi Kevan

    I’m curious about something you said:

    “You can get even more detail with breakdowns of when and where each of these impressions happened. Same goes for click stats and engagement (favorites, retweets, etc.). Twitter analytics tells you where on the tweet and where on the network that someone clicked or engaged with your tweet.”

    How do I get the breakdown of whena nd where each of the impressions happened? and how do I find out where on the tweet and where on the network someone clicked or engaged with the tweet?

    Thanks

    Brian

  • Anne F

    Great article! Maybe you can help me with a question I had for so long: why does the number of organic impressions per day is not equal to the sum of impressions per post on this day? You would really help me if you can answer this! 🙂

    • Ann

      whats an organic impression?

      • John

        Thanks for sharing this post. We have just released a 100% free twitter stats website that could help with any of your readers trying to gather info on their own, or others twitter accounts. Our service requires no login and can be found at https://chirp-stats.com. We are looking for input on other features to add, so please drop us a line and let us know what other stats you’d like us to add! Thanks 🙂

  • Claudio Raimondi

    Great post, question: wouldn’t it make more sense for you to integrate all of this into Buffer Analytics instead of having to use excel to pull the data from Twitter Analytics and Buffer Analytics?

  • KarlMealor

    What’s a good engagement rate?

  • Fantastic and comprehensive article that is sure to keep the readers engrossed. The focus of it on your site is just great and users can easily their twitter favorites from here if they want to gain great deals and offers.

  • The thorough analysis of the article on twitter favorites on your site is simply great. The way it is written, points out all the great things that would happen if you have twitter favorites on your profile.

  • I’m having trouble with the Array Formula in Tip 12. Can you explain what each number in the formula represents so I can make sure I’m referencing the correct element in my spreadsheet?

  • Very nice article. Thanks for sharing

  • athena

    I have a question. If the people are not using twitter but saw our tweets from web browser because it is public, can we still get the details and demographic? Tq.

  • Laila B

    Do impressions/profile visits include your own views?

  • hope this article works on my tweeter account thank you

  • Siddhant Minocha

    That’s a really good article. I want to add up one more tool that we have created recently. It’s called Twitics and it’s one of the most advanced Social Media Intelligence tool. It can help you understand hidden trends, customer preferences and much more in Realtime. You can check out the product on our website twitics.co

    Please share your reviews and more here. 🙂

  • Nice information. What are engagements and impressions?

  • It is really great article ! SHAREit download

  • Bill Hibbler
  • useful information about twitter analytics

  • I was long having a doubt on this topic but now after reading your article it is clear. Thank you.

  • Did my best to understand this. But my question which I see unanswered below is what is the difference between an organic impression and an impression. Why does the bar graph at the top have 500 organic impressions. While beside the tweet it has 175 impressions? Twitter does nothing to explain
    Thank you

  • Twitter should thank you profusely for writing this article! Hopefully this prevents the mass-amounts of spam.

  • raja
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  • nikky

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