The best you’re going to do on Twitter, without paying for reach, is about 3%. No matter how many followers you have, only about 3% of them will see your tweets. And this is your best tweets, mind you. More likely, you will reach about 1% of your followers each time you tweet. There are a number of reasons for this. And there are a few reasons the Twitter Analytics system does not accurately measure your reach.
First let’s talk about why your reach is so low.
- Unlike Facebook, Twitter does not filter your tweetstream. (Meaning, if you follow someone, you are going to see their tweets.)
- If you use Twitter.com you will see the firehose of tweets cascading before your very eyes. You will miss a lot of tweets, even while you are online.
- Most people don’t use tools or lists to follow you. Again, if your tweet is one drop in the firehose of Twitter, there is a very slim chance your followers are going to see it. That’s the 3% – 1% average.
Now let’s look at why Twitter.com’s analytics are not representative of your actual reach.
- Power users don’t use Twitter.com to follow or respond to tweets. Twitter analytics only tracks clicks and RTs that are initiated on Twitter.com
- Tweets are often read in tools or website widgets and these interactions are not measured by Twitter.com
Alternative Click-tracking services like bit.ly can give you more accurate numbers on your Twitter interactions. But even bit.ly can be off when other services remap the bit.ly link to yet another tracking link.
The take away:
- Building a large following is tedious work.
- The larger the following the larger the 3% reach potential is.
- By tweeting the same information (different tweet) several times a day, you are exponentially increasing your reach. And while 3 tweets in one day doesn’t equal 3% + 3% + 3% doesn’t equal 9% due to overlap, you can start moving the needle significantly with multiple tweets.
- Use bit.ly to track your tweets specifically outside to Twitter.com analytics.
- Twitter analytics can give you insights into what types of tweets are working with your followers, but does not accurately represent the total influence of your tweets.
Don’t get carried away like the uber-Twitter-spammers. Don’t put your Tweet on repeat and blast out duplicate tweets automatically. But don’t be afraid to over-tweet. The concept used to be valid when there were fewer people using Twitter and fewer tools to help you filter your own stream, but today, tweet all you like. Don’t be an auto-bot. But don’t be afraid to tweet about your new post several times a day.
Additional Twitter-centric Posts:
- Here’s How You Are Killing Twitter
- Killing Twitter: Who Killed the Direct Message?
- A Quick Peek Into Twitter Analytics. Got Your Tweet On? How’s It Going?
- The Final Word on Twitter Influence, Reach, Ratios and Ads
- Twitter Spammers the Simplified Version
- Twitter Ads – Twitter Analytics: The SMB Experiment
- Why Is Your Tweet on Repeat? No Reply Necessary.