X (formerly Twitter) has demonstrated extremely powerful "communication capabilities" in various social network platforms and is an excellent partner for overseas social network marketing. In view of its many advantages, many companies actually carry out public relations on X events to promote their global events program. The key to achieving good results in X account operations is to conduct in-depth analysis of your own account's posts, followers, and competitor accounts, and to continuously optimize your operating strategies.

 

Because of this, in this article, we will explain in detail the indicators that you need to focus on in X analysis, and also introduce you to a free X analysis tool. In addition, we will share practical tips on how to choose tools and how to closely link analysis to results, which we hope will be helpful to you.

 

 

 

 

- Personal account analysis

 

- Follower data analysis

 

- Competitor monitoring

 

First of all, for X (formerly Twitter) analysis, "analyzing one's own account" is a crucial step. When analyzing your own account, you need to focus on the following two main indicators:

 

①Participation rate

 

The engagement rate metric is used to show how many "actions" a tweet generated. You should know that different social network platforms calculate participation rates differently. In X (formerly Twitter), the number of impressions (that is, the total number of tweets displayed) is used as a parameter, and the following five data are counted as "engagement" to calculate the engagement rate.

 

  ·like

 

  ·good

 

·RT (retweet)

 

  ·reply

 

  ·focus on

 

In other words, there is no need to analyze indicators such as "likes" and "RT" one by one. If you can analyze the "participation rate", you can check whether interesting and useful information is being pushed to users.

 

②Theme tag

 

Hashtags play an auxiliary role in the spread of tweets or contact with specific users, and play a key role in the operation of X (formerly Twitter). Therefore, when analyzing your own account, you must ensure that the hashtags used can actually play a role in "spread". If you analyze the topic tags with strong communication power and understand their characteristics, you can use the topic tags more efficiently.

 

Secondly, "follower analysis" is also essential in X (formerly Twitter) analysis. By knowing the attributes of your followers and their behavior trends on X (formerly Twitter), you can accurately disseminate information to your followers. Specifically, it's best to look at the following three indicators.

 

-Number of followers

 

- Follower attributes

 

- Follower’s X (formerly Twitter) usage time

 

①Number of followers

 

There is no doubt that the number of followers plays a decisive role in the operation of social networks.

 

Specifically, it is recommended to regularly check the growth rate of followers. By regularly analyzing follower growth, you can improve your operations based on the characteristics of posts that lead to followers.

 

②Follower attributes

 

Just like setting a "role" for information transmission in self-owned media, in the business account management of X (formerly Twitter), it is also extremely important to analyze and understand the attributes and characteristics of the company's followers: the reason is that, By analyzing the characteristics of your followers, you can understand who your company is supporting and who your message should be delivered to.

 

For example, even if you have the same 10,000 followers, if women or men account for 80% of the followers, then the account management strategy must be different. In this case, it is necessary to fully and thoroughly analyze the characteristics of followers and use them in future investment strategies.

 

③ Follower’s Twitter time

 

If you’re going to post an informative tweet, you want it to be seen by as many followers as possible. Generally speaking, the data shows that the most active users are concentrated between 5pm and 10pm, but this can vary greatly depending on the follower demographics the company captures.

 

If you could regularly analyze how much time your followers spend on X (formerly Twitter), you could tweet on the days and times when your followers are most active. As a result, you can expect positive results such as increased engagement rates and more followers.

 

 

 

 

When analyzing your competitor’s accounts, focus on these three metrics:

 

- Posts showing a growing trend

 

- Fluctuations in the number of followers

 

- Number of posts by time and day of week

 

①Posts that continue to grow

 

​In-depth analysis of the characteristics of competitors’ popular posts and learning how to operate them. Popular posts tend to have something in common such as "contain a lot of characters" or "posted at 8pm." It is important to identify these common characteristics and apply them to your own account.

 

However, it’s important to note that this means learning from your competitors’ top tweet trends rather than copying their content. Copying even a single tweet from another company may risk causing dissatisfaction, so be cautious.

 

② Fluctuation in the number of followers

 

It is no exaggeration to say that the number of followers is a crucial metric on social networks, so it is important to analyze fluctuations in the number of followers, not only in your own account, but also in those of your competitors. analyze.

 

It is best to analyze in detail how the number of followers of competing accounts fluctuates, what kind of posts will cause an increase in the number of followers, etc., and apply these analysis results to your own account management.

 

③Number of posts by time and day of week

 

Competitor accounts that achieve success on X (formerly Twitter) generally have characteristics such as "frequent posting after 8 pm" and "concentrated posting on Saturdays and Sundays". If your account overlaps with other companies' followers, analytics like post time and day of the week can be extremely useful.

 

 

 

 

X Analytics is the official analysis tool of

 

Although it is relatively simple to use, it allows users to effectively analyze important indicators, so it is highly recommended for those who are not familiar with X (formerly Twitter) analysis. With X Analytics, you can analyze these metrics:

 

Analyzable indicators

 

impression(impression)

 

Engagement (participation)

 

Monthly performance overview

 

Trend insights (trend analysis)

 

Average tweet performance for benchmarking (average tweet benchmark analysis)

 

The top 10 interests of your followers (fans’ top ten interests)

 

Type of engagement(participation type)

 

Engagement rate

 

X (formerly Twitter) Like rate

 

Tweet length vs. Engagement (Tweet length and engagement)

 

Tweet reach percentage (Tweet delivery percentage)

 

Hashtag comparison(hashtag comparison)

 

Impressions by time of day (number of impressions in a day)

 

Clicks, retweets, & replies by time of day (number of clicks, retweets, replies in a day)

 

Engagement rate by time of day (participation rate in one day)

 

Best days for total engagement and engagement rate (best days for total engagement and engagement rate)

 

Video completion rate (video completion rate)

 

In addition to examining these indicators individually, they can also be analyzed by specifying a time period and sorting them in order of the number of times they are displayed. Additionally, it supports analysis of "X(formerly Twitter) Ads", so if you are considering advertising on X(formerly Twitter), it might be a good idea to familiarize yourself with how to use the official X(formerly Twitter) analytics tool.

 

In short, X Analytics is an official analysis tool that is not only reliable but also easy to use. In the previous article, we also recommended several Youtube marketing tools to everyone. Click here to learn about them: (Three free Youtube analysis tools, a must-have for marketers).

 

 

 

 

If you want to manage multiple X (formerly Twitter) accounts, anti-correlation and anti-detection are very important. With the help of BitBrowser, this problem can be solved very effectively. It can create multiple independent browser profiles by modifying and camouflaging browser fingerprints. In addition, BitBrowser also supports integration with HTTP, HTTPS and SOCKS5 proxies, and can configure different IP addresses for each browser profile, which is beneficial for users to manage and operate multiple accounts on different social media platforms. It greatly improves security and reduces possible associations between accounts during multi-account operations.

 

 

 

 

In addition, marketers can use BitBrowser's RPA automation function to automatically publish tweets, whether on X (formerly Twitter) or other design platforms, to ensure stable content push during account operation. In BitBrowser, you can automatically reply and process comments and messages, keep your account active, and increase the participation and visibility of social media marketing.

 

By integrating BitBrowser’s multi-account management capabilities with the free data analysis tools we discussed earlier, you can not only improve the quality of your attention itself, but also ensure that your platform’s promotions are equally effective and engaging. Such a strategy will be a great way to expand your following and ultimately your brand’s influence. Try BitBrowser now to better manage multiple social media accounts.

 

 

 

We’ve covered the metrics for checking Twitter analytics and tips on how to use analytics tools to get results, as well as the actual recommended analytics tools. In order to achieve solid results in your business account, it’s important to run a PDCA cycle with analytics tools. By combining BitBrowser and using it for corporate multi-account promotion and marketing, it can help you open overseas markets faster and achieve efficient overseas marketing.