Compare Chrome extensions: vidIQ Vision for YouTube vs HashTest - Realtime Hashtag Testing

Stats vidIQ Vision for YouTube vidIQ Vision for YouTube HashTest - Realtime Hashtag Testing HashTest - Realtime Hashtag Testing
User count 3,000,000+ 10,000+
Average rating 4.51 3.71
Rating count 9,733 14
Last updated 2024-04-23 2016-11-03
Size 6.32M 16.38K
Version 3.107.0 1.0.4
Short description
Uncover the secrets to success behind your favorite YouTube videos. Find the best hashtags while you type, with real time color-based quality scores.
Full summary

Do you want to know how to get more YouTube views, or discover the secrets to success behind your favorite YouTube channels and videos? vidIQ Vision for Chrome is a suite of powerful tools that every creator need access to if they want to build their audience on YouTube.

Whether you’re a content creator, digital-first publisher, or a community or marketing manager you need to know:

  • What makes ‘Related Videos’ related?
  • How do videos get ranked in Search?
  • Where do ‘Recommended Videos’ come from?
  • What does good YouTube SEO look like?
  • How does social media fit into audience development?
  • What’s REALLY trending on YouTube
  • What content your audience is searching for
  • What content to double down on to get more YouTube views

vidIQ's free Chrome extension provides these answers! We give you unique and authentic optimization data that can dramatically improve your videos’ performance, subscriber engagement, and promotion opportunities. vidIQ comes with a range of awesome features including:

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Easily discover the best and most popular hashtags to increase your reach on Social Media.

What does HashTest.io do? HashTest.io tries to help you find the best hashtags for your social media content whether it’s Twitter, Instagram, Facebook, or whatever.

Why do hashtags matter? Hashtags are essential to making sure your content reaches the correct audience. In fact, using hashtags on Twitter can increase engagement with your content by up to 40%.

Why does hashtag popularity matter? Super-popular hashtags have diminishing marginal returns: if everybody on the planet uses them, your content will be lost in the torrent. But using obscure and relatively unused hashtags is utterly useless too. So the best hashtags are the ones that are both popularly used and most likely to result in increased engagement.

So how does HashTest.io determine what hashtags are best? With some super awesome number crunching magic, analyzing tons of data, and a pinch of dragon’s blood. Obviously.

Why does HashTest.io not report on other analytics data such as likes, retweets, shares, and other things?

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