Spam, spamming and spammers represent a huge controversial topic these days and Tweepi might just be the tool you are looking for to identify and cleanup spammers!
Since there are numerous ways to use Tweepi for identifying and cleaning up those annoying – good-for-nothing – spammers, we will dedicated this section to help you learn about each and every one of them!
Today, we will see how you can easily identify spammers using the number of followers vs. number of tweets presets.
Identifying Spammers Through Followers Vs. Tweets
Compare the number of followers vs. the number of tweets. If the account has several thousand followers and less than a dozen tweets, there must be something fishy. These type of tweeps usually start following a few hundred accounts, wait a few days to see who follows back, then flush anyone who did not follow, and start over with a few hundred more!
Hope you enjoyed this tip…
Stay tuned for more tips to come and don’t hesitate to let us know if you have any questions or suggestions for us.
Posted in Clean up your Twitter
Tagged cleanup, followers, friends, number, presets, spam, spammers, tips, Tweepi, Tweeps, tweets, Twitter
When using Tweepi, or any other following tools, your avatar can play a very important role in whether tweeps decide to follow you or not.
@beiruta - My Twitter Avatar
Here are 5 reasons why:
- Recognition: It has been proven that human beings are wired in a manner which allows them to recognize and remember faces. Therefore, if you use a picture of your face in your avatar, you have a higher percentage of being remembered by your followers.
Expression: What your expression says in your avatar can actually be a factor in determining who follows you and why! Let’s say your smiling, a sincere smile is considered engaging and attracts people to you but a goofy smile might give off an unprofessional impression. Continue reading
Posted in Clean up your Twitter, Tips and Tricks
Tagged active, avatar, cleanup, flush, follow, followers, following, images, manage, tips, trick, tweep, Tweepi, tweepi v2, Twitter, unfollow, value, Web 2.0