5 Commonly Used Website Analysis Tools | Web Scraping Tool | ScrapeStorm

Website analysis tools refer to tools that collect website operation data and provide data support for website optimization.

1.Google Analytics

Google Analytics can be said to be an industry benchmark. Its settings are simple, customizable, and can provide all basic information about the website. With Google Analytics, you can collect audience data (such as age, geographic location, and device used) and observe how visitors find, use, and leave your website. Due to the popularity of Google Analytics, it is easy to integrate with other platforms.

2.Crazy Egg

Crazy Egg is a comprehensive and easy-to-use website analysis tool. One of its most useful features is the ability to generate heat maps and scroll maps, which can show how people scroll through your website and where they click most often. You can also use Crazy Egg to perform A/B tests on the website.

3. Clicky

Clicky is a powerful and flexible website analysis tool that is often compared with Google Analytics. However, Clicky has some features that Google Analytics does not. The “Big Screen” function allows you to see in real time what is happening on the website, how many visitors you have, what they are doing, and when they leave. Clicky also has a Twitter analysis function, which allows you to search for information mentioning your business on Twitter.

4. Kissmetrics

If you want to collect data on each customer through sales channels, Kissmetrics may be your best choice. This tool tracks individuals through multiple visits to your website (which Google Analytics does not have) and can help you understand how and why customers make purchase decisions. Kissmetrics also has built-in email marketing features, so you can automatically send emails to potential customers based on customer behavior on your website.

5. Chartbeat

Chartbeat monitors the way customers interact with your content. If you publish a large amount of various types of content, Chartbeat may be your ideal way to integrate all the data in one place.