Clickstream (aka “click path”) data provides a wealth of information that was unavailable just four years ago. Its name has such a nice ring that we named our company after it.
The term was more popularly used in the past for research about the basic proprietary “click” numbers as users navigated through the a website. Today, cutting-edge tracking is aggregated from website browser plugins or app companies to provide precise information on how users interact with the largest sites on the web, especially on Google Search.
If that sounds “creepy,” don’t worry. The metrics collected by aggregator companies like Jumpshot do not include private information. The data doesn’t help to “target” individuals as opposed to information Facebook collects from user accounts and behavior on their platform.
The top two SEO software companies, Ahrefs and Moz, both integrate these numbers now. Without them, the best SEOs are lost in a Google extraterrestrial world.
Google goes out of its way to keep comprehensive, accurate search metrics from website owners. Newspapers like to work with PR professionals within limits. Google closed its search engine product to collaboration and transparency. More than ever, they’ve forced companies that don’t have very deep SEO experience to pay exorbitant AdWords fees.
Click path data for original research and link building
We also use click path data for research analysis to find search trends. This is 100x more precise than what one could find with Google Trends. The end content is published on client sites and used in our link building campaigns. Few SEO agencies would know, for example, how to:
- Find the most searched for phrases on YouTube in a particular niche.
- Create an interactive data visualization from the data.
- Build links via email outreach targeted to editors at blogs and publisher websites.
Currently #1 for Best terpenes company
Got MFS to #5 for Vapes
Currently #1 for Edibles
Got lull.com to page one ranking for Mattress
It's 2025. Game change. Search engines use machine learning and artificial intelligence. Before ChatGPT made large language models a thing, Google's been using them to score webpages. In 2005, we made one of the first tools to find related topics and entities on web pages.