1. Twitter Analytics
Twitter Analytics is a free service that is open to everyone. After posting a tweet in your Twitter account, you can get complete Twitter analytics about your tweets and followers. You can access this feature by logging into the Twitter Analytics page in your browser; or you can access Twitter Analytics by clicking “Analytics” in the left sidebar of the Twitter web version.
Based on Twitter Analytics, new data and new perspectives are used to analyze Twitter and audience status, and the results of the analysis can be used as a reference for regular data in marketing activities. By analyzing the reasons for success, you can better plan the time spent on the platform and obtain the maximum marketing benefits. The Twitter Analytics page includes data analysis for the “Home”, “Tweets”, “Videos”, and “Conversion Tracking” tabs.
(1) Monthly data analysis for the Home tab.
The Home tab can instantly present the Twitter status of the month, including the number of tweets posted, tweet reads, profile visits, current number of fans (followings), etc. These indicators can only reflect the current activity of the account and cannot indicate whether the marketing strategy is successful. However, if the number of tweets posted decreases, the account’s advertising impressions, number of fans, and number of tweet mentions will also decrease. Therefore, it is necessary to maintain a certain frequency of posting. At the same time, you can view the data summary of previous months, which brings together the monthly excellent tweets, successful tweets (determined by engagement), and monthly super fans (determined by the number of fans). When analyzing the fan interaction status, if you cannot understand how fans or browsing visitors interact, or if the number of tweets increases or decreases sharply, or the situation is abnormal, you need to analyze the reasons for the situation. In addition, with the help of Twitter Analytics, you can also obtain a list of “Top Followers”, that is, Twitter users (Internet celebrities) who already have a strong fan base. It is recommended to compile a list of these Twitter users and consider cooperation in the future.
(2) Tweet tag data analysis.
In the tweet tag, in-depth mining of the status of each tweet will help the account’s marketing. According to the number of tweets read, engagement (including forwarding, likes and replies), and participation rate, the number of likes, replies, clicks, and forwarding of tweets can be grasped in real time. These indicators can be used to better analyze excellent tweets and to determine whether different types of tweets will bring different feedback. By analyzing these specific conclusions, we can achieve our tweet marketing goals. If we want to get more retweets or replies, we can observe which part of the Twitter campaign or strategy has achieved the greatest effect. In addition, we can analyze the best time to tweet every day and every week to achieve better results.
At the same time, we analyze the tweets with the most impressions. We use Analytics to obtain the data of all the seller’s tweets in the month, sort them out, and see which posts have the most impressions. We analyze what they have in common. We can also apply the common points to the content of subsequent tweets, such as whether these posts use the same theme, whether they contain popular tags, emoticons or special slogans, etc.
(3) Video tag data analysis.
The data analysis of videos is similar to that of tweets. On the video data page, we can view the number of tweet views, video views, completion rate, etc. We can also view the performance of paid advertising videos, that is, the performance of using Twitter ads to increase video impressions and interactions.
(4) Conversion tracking tag data analysis.
Through conversion tracking, we can track the actions people take after viewing or engaging with ads on Twitter, thereby measuring the return on advertising spending. After setting up conversion tracking, you can also track cross-device conversions. This means that even if someone views a Promoted Tweet on a mobile device but converts on a laptop, the conversion will be accurately attributed to the campaign. Conversion tracking is tied to payment and can provide more marketing data, including order volume, amount, etc.
2. ManageFlitter
ManageFlitter can intelligently manage Twitter accounts. The tool provides advanced analysis and offers unique features such as Powerpost. Powerpost will automatically schedule posts for optimal visibility and engagement. You can also use ManageFlitter to unfollow all inactive Twitter accounts. ManageFlitter social media tool webpage.