Accuracy of the Business's KPIs.

The metrics are estimated values and their usefulness is to be able to compare different domains, observe trends, observe decreases and increases in values over a period of time.

Our goal is to improve the quality of this information and we are constantly improving to achieve this. We will add some new features soon, like the estimation score.

If you are a user of tools such as Ahrefs, Semrush, Alexa, or Similar web, you will have been able to observe that for the same domain there may be different data and if you compare it with data from Google Analytics, even more so.

Try for example comparing apple.com, amazon.com, american-giant.com, or birchbox.com on Ahrefs, Semrush, or Alexa and you will see the big differences.

In one way or another, all the tools obtain data by Scraping, storing it in the database, and using complex algorithms to make estimates.

We need to do some complex tasks to scrape all domain text and match the categories. Everyday we collect new domains from hundreds of different sources and update the data.

For search engine rankings and keyword analytics, we use third-party data providers to collect Google’s actual search results pages for the most popular keywords. We study both organic search results, as well as paid search results to give you a complete picture of any website’s visibility on Google.

To obtain Conversion Rate and Average Order, we work with external collaborators (which we cannot disclose) who provide us with access to databases with statistical data and market estimates. Supported by AI and proprietary algorithms, we improve the estimated data.

Estimates are more accurate in domains of product sales, software sales, or sass tools.

For example, an estimate in a furniture sales e-commerce in the US or Europe is more reliable than a domain of legal services in the Dominican Republic. The larger the market and the more traffic the domain has, the better estimates are.

We are working hard to improve the estimated data and to be able to show an estimated rate. We are also working on adding new entries in the database with more precise data. Soon we will add more than 100,000 e-commerce and 30,000 sass companies.

We are also opening collaborations with some local universities to work on various projects to help us improve our math calculations and estimation algorithms.