Introduction
Twitter threads are often used to express more than just the 280-character limit. However, they are often left unnoticed on the advantage which they provide for boosting engagement and increasing traffic!
To stay on top of our publishing game, we utilize Tweepsmap to schedule tweets to be posted daily at the most optimal times for our audiences. However, we wanted to create an experiment to explore if we can generate even higher twitter engagement levels than ever before!
To do so, we utilized a thread in our experiment to test engagement levels of tweeting normally versus tweeting in a thread. We proceeded with a suitable topic for our audiences’ interests, #30daysofschdueling, with the objective to further our engagement levels by providing daily useful tips that would help user’s social media usage and scheduling. We spread the publishing of this thread over a span of 30 days starting on January 13th, 2021 until February 12th, 2021.
We used a mixture of methods to reach our audiences and drastically increase our engagement numbers, and more importantly, we let the Tweepsmap scheduler automate the entire process of scheduling the twitter thread and pick the optimal times for each tweet.
The results of our experiment far exceeded our expectations! Read below to find out how we achieved such standout numbers.
Baseline
We will begin by viewing a pipeline that was tweeted during the same timeline as our experiment. Both pipelines tweet similar content that is original to Tweepsmap. We will compare “Our Blog” pipeline and our #30daysofschdueling pipeline to see the difference of engagement when you do not utilize a thread versus when you do.
“Our blog” pipeline uses similar times to the #30daysofschdueling pipeline by posting at our Twitter audiences peak active times. It tweets active blog posts from the Tweepsmap blog. The total engagement of this pipeline over the 30-day mark was 1772 where 61 tweets were tweeted during that period. That makes for an average of about 29 engagements per tweet. Additionally, this pipeline sits at 1.1 million impressions which makes for an average of about 18,080 impressions per tweet.
On average, Tweepsmap’s general posts receives about 17,173 impressions.
Methodology
There were various concepts used in our experiment to gain the high-performance rates of our tweets starting with a curated topic that was suitable for our audience (30 days of scheduling). We then created a hashtag that was inserted into each individual tweet to categorize our content and increase the chances to be noticed in conversation #30daysofscheduling. There was always a link or graphic inserted to intrigue users.
Another huge factor was Utilizing the pipeline function on Tweepsmap which automatically posted a tweet a day into the thread at our audiences most active times.
As well, using the advanced automatic thread numbering function to organize the posts. And lastly, spreading thread over a period of thirty days for maximum visibility.
Performance Measurement
In the overall performance, the “30 days of scheduling” thread received high engagement and impression levels with only posting 30 tweets in the span of 30 days, in comparison to our average tweets. The experiment received 1.4 million impressions in total over the 30-day mark which makes for an average of about 46,897 impressions per tweet. The first tweet in the thread received 455k impressions at the end of the 30 days. Without including the first tweet, the average impression rate for a tweet was about 31,730.
The first tweet generated stand out results, it had about 10X higher impressions than the average tweet in the thread and about 26X more than our normal tweets not in the thread. However, other tweets in the thread also received higher engagement levels as well; excluding the first tweet, on average, each tweet in the thread had 85% more impressions than what our average tweets receive in a non-thread.
Compared with our baseline of tweets published at optimal times, our experiment achieved 159% higher of impression per tweet. Additionally, the first tweet in the thread received 2417% more impressions than the baseline. Without including the first tweet of the thread, the average impression rate for a tweet in the thread was about 75% higher than baseline.
In comparison to the baseline engagement, the #30daysofscheduling pipeline received 2262 engagements over the 30-day mark. This makes for an average of 75.4 engagements per tweet which is an increase of about 160% when compared to the baseline.
Additional Results
Day 15 of #30daysofscheduling was the halfway mark of the 30-day thread. It continued with increased impressions than average tweet, where it is sitting at 36k views. There was also an increase of link clicks.
Standout Results and Tips
This experiment opened a clear vision of how to efficiently gain Twitter engagement with the use of a thread with some tips to keep in mind.
As seen by the results, the tweets that had a link included in them had higher engagements than tweets with just a graphic. So, when trying to reach high traffic levels on your additional platforms, opt to linking a relevant website as opposed to a graphic.
It is critical to note that with the high engagement levels on our “day 1” tweet, there was no traffic converted to the website. Therefore, we recommend that the first tweet of the thread contains a link to convert traffic to platforms such as the website or blog in our specific case. However, we were able to drive traffic to the Tweepsmap profile where this is clearly displayed in the first tweet through which 612 users visited our profile.
In comparison to normal tweets, tweets that are in a thread seem to track over twice as high impressions. It is no doubt that the use of a Twitter thread in our experiment displayed a standout performance, increasing our engagement 160% than our average tweets.
Conclusion
In conclusion, when measuring the engagement and impression levels on posts, it can be determined that using a thread as an alternative way to tweet is a much more effective strategy to reach audiences. Posting content when your audience is online is a common strategy utilized to increase user’s impression and engagement levels. This approach can be optimized further by using threads which can have a drastic increase on your activity numbers. Spreading thread posts at peak active times allowed us to achieve 2417% increase of impressions and a 160% increase in engagements.
This experiment has opened the door for a new way of social media marketing that will help in increasing twitter engagement and impressions like ever before!
To achieve similar stand out results, check out the publishing platform, https://tweepsmap.com/, to help you increase your publishing and performance levels today!