Eliminate Bots 100 times Faster with BotAlert

BotAlert detects bots through an algorithm that examines events at a sample rate of 48/second. It shows groups of users whose activities are correlated by rate and volume. All bots post with perfect precision as they do their repetitive tasks. It’s impossible for humans to post with this kind of correlation. BotAlert then runs a three step process to validate the suspicious user and confirm that it’s presenting bot behavior.

There is no other product on the market like BotAlert. It finds 100 times the bots of other programs because it seeks them out in a different way. It finds them in real time— the day they are created. It is an automated tool and needs no supervision.

Once the bots are uncovered, they can be deleted by Twitter or the website using the program.

Current Twitter bot eradication can’t keep up with the new bots being created every day. It takes about 3 days for Twitter to find them… if it does. Currently there are bots on Twitter that have been there for months… even years. Other bot-flagging products require supervised training to find the bots and they consider each account independently – a slow process.


You see, Twitter looks at account activity. Too many Tweets? They get suspicious. So smart bot makers adapted. Instead of creating one bot that tweets 1000 times a day, they create 100 bots that tweet ten times a day. When looked at on an individual bases, it looks normal or harmless.

But when you look at all the tweets, a pattern emerges. You’ll find a series of tweets from different users that occur at exactly the same time. They are the same length. When you graph the results, you see identical peaks and valleys. No two random people would tweet like this.

While it’s impossible to monitor all the tweets, BotAlert can find enough information in selected bursts of data. Even those segments show correlated behaviors.

It doesn’t even matter what language they are using. The correlation tool can find bot activity. Even as bot developers attempt to make their bots as dynamic and random as possible, BotAlert can detect the patterns and expose the bot.

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What is a Bot?


A “bot” is a software application that runs automated tasks over the Internet.

Bots pretend to be human beings. People use them for a number of reasons.

  • Harvesting email addresses from contact or guestbook pages
  • Sucking bandwidth
  • Grabbing the content of websites so they can re-use it
  • Buying up concert seats by scalpers
  • Farming for resources
  • Increase traffic counts on analytics reporting to collect extra money from advertisers
  • Deceiving normal users to follow them so they can spam them or influence them
  • Shifting public opinion, spreading misinformation or lies
  • Altering social media or review statistics

Usually, bots do tasks that are simple and repetitive. And they do them much faster that humanly possible. Bots can perform appropriate and useful functions—like collecting data for Google searches or writing a response in gaming or auction sites. Here super human speed is an asset. Sometimes chat bots act like humans in answering questions or leading web users through a sequence of events.

For the normal user, a bot is indistinguishable from a real person. But when automated scripts (bots) generate 60% of the traffic on the web—you can see how they could manipulate, distort, and influence.

And when advertisers lose about $8 billion per year in fraudulent online advertising, they have a compelling reason to stop the bots.

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