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Analytics:

How to measure the success of your Twitter campaign

Posted on May 27, 2020

Twitter Analytics was launched in 2014 and represented a big move from the platform towards greater measurement abilities, and ultimately transparency, for all of its users.

In this time, Twitter has continued to upgrade the tool to provide insights into a number of useful metrics, but not everyone knows it’s there as a free, ready-to-use resource for both personal and business accounts.

How do I find Twitter Analytics?

There are two simple ways to find Twitter Analytics. Firstly, when you are logged into the account you want to analyse, you can open a new tab and insert its URL. However, there is a second, quicker way to find the tool. Again, when logged into the account, from the menu, select ‘More’ and ‘Analytics’. This will take you to the tool’s dashboard.

The dashboard

Twitter Analytics’ dashboard acts as an overall summary of the account. Along the top, you will see a 28-day summary, with a comparison to the previous 28 days. This will show how many tweets you’ve posted, the number of collective impressions those tweets have had, the number of profile visits the account has received and the number of followers it has.

Below this is a more in-depth monthly summary, with data being shown per calendar month. It will display those same four metrics, plus the number of mentions the account has for that calendar month, along with some highlights from these periods.

These highlights show what the account’s top tweet was, detailing the tweet and how many impressions it had, as well as the top media tweet. It also shows what the top mention was, if the account was mentioned by another in that timeframe and who the top new follower was.

Tweet Activity

Along the top menu bar, next to the Twitter Analytics logo, you’ll see the options ‘Home’ (which is the dashboard), ‘Tweets’ and ‘More’. The Tweets tab takes you through to Tweet Activity, which goes into a little more depth about each individual tweet. You can change the date range and even export this data to use elsewhere.

Here, you can see every tweet from the selected date range, which defaults to the past 28 days. Analytics will tell you how many impressions the account had in that time and show a graph displaying the number of tweets and impressions for each day of that period.

Underneath the graph, you will see a list of tweets. It will tell you what you tweeted, as well as how many impressions and engagements it had, and an engagement rate percentage.

Why is this data helpful?

These statistics can help you plan your campaign, giving you an insight as to what types of content attract engagement from your audience, and what gets them clicking and interacting with you. It can help you to decide what works and what doesn’t work quite so well.

Why not try approaching your social media in a different manner to normal and see what effect that has on your audience? What time of day is the best time for you to tweet? These questions can be answered by looking at Twitter Analytics.

If you’re struggling with your social media campaigns, why not get in touch with Engage Web today and see how we can help you?

Posted by Alan Littler

Four reasons why Facebook Conversions may not show in Google Analytics

Posted on May 20, 2020

As you may expect, platforms from different companies can report different results on the same or similar metrics. This has already been demonstrated in an earlier article we wrote about the differences between (more…)

Posted by Alan Littler

Our one-stop infographic on Google Search Console vs. Google Analytics results

Posted on May 18, 2020

Last week, our Account Executive Alan gave a detailed account of why data on Google Analytics and Google Search Console can be so different. That’s worth a read in full, but we thought we would follow it up with a visual guide as to why one of these Google tools might be showing higher figures than the other.

Below, you’ll find a punchy list of six different ways in which both GA and GSC can land a telling blow, and how either can be great to have in your corner. Which one can claim the belt for being the more accurate? As you can see, it comes down to a split decision.

We think it’s an absolute knockout (it’s boxing themed, as you’ve probably worked out by now from these dreadful puns), so please take a look. Have you ever been floored by the differences between GSC and GA results? Maybe you’re a real underdog with no experience of either and would like to know more about rankings and how we can improve them for your website? Either way, we’d love to hear your comments.

 

Posted by John Murray

Why do Google Analytics and Search Console report different results?

Posted on May 11, 2020

When it comes to measuring traffic coming into a website, there are many tools and metrics that can be used, with two of the more popular services being Google Analytics and (more…)

Posted by Alan Littler

Google Analytics 101: How do I know where my site’s traffic comes from?

Posted on November 19, 2019

Google Analytics is a tool many webmasters use to record and report on traffic that comes through to a website.

By inserting a piece of (more…)

Posted by Alan Littler

Twitter offers access to analytics data

Posted on September 1, 2014

Social networking site Twitter has decided to make its analytics access open to the general public, for users to see how other accounts interact with (more…)

Posted by Alan Littler

What does Universal Analytics offer over its traditional counterpart?

Posted on September 3, 2013

Earlier this year, Google made Universal Analytics (UA) available as an alternative to its standard analytics offering. For some, the core differences between the two (more…)

Posted by Richard Bell

Tasty meta descriptions feed Google results

Posted on September 5, 2012

The importance of meta descriptions is something that many people working in SEO can neglect from time to time. However, an interesting BBC Internet blog post has highlighted just how important they are.

The effectiveness of meta descriptions is easy to check for (more…)

Posted by Carl Hopkinson
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