We are going to briefly explain how we calculate some Bussines KPI metrics.
Our AI categorizes billions of domains daily. We catch 76% more threats than competitors, and we catch them 5 days faster.
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 SimilarWeb, 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.
In one way or another, all the tools obtain data by scraping, storing it in the database, and using complex algorithms to make estimates.
Traffic: Number of visitors per month from the search engine Google. Branalyzer traffic calculations are based on CTRs (Click Through Rate). We take into consideration SERP positions and keyword volumes. Our databases are constantly growing and improving. Every day we collect new keywords from hundreds of different sources and update the old data.
Main Category and Subcategory : The Branalyzer categorization service supports the “IAB Tech Lab Content Taxonomy”, or what used to be called the “Quality Assurance Guidelines (QAG) Taxonomy.” These categories are composed of Tier-1 and Tier-2 level categories with Tier-2 being a sub-level of a parent category.
The IAB categories are an industry standard and are heavily used in services like advertising and Internet security and filtering appliances.
There are 26 tier-1 (top level) categories, 366 tier-2 (a sub level) categories, and an additional 12 tier-3 categories that are specific to the Branalyzer category service. The total number of categories are 404.
Average Order Value (AOV): Average order value (AOV) tracks the average amount spent each time a customer places an order on a website.
Conversion Rate (CR): The conversion rate is the ratio of transactions to sessions, expressed in the form of a percentage.
Monthly Revenue: Denote the total amount of money that is being received by the company after trading its products or service to its customers.
Average Purchase Frequency (APF): Average Purchase Frequency is the number of times that a customer purchases in a given period of time. In research, understanding how often a consumer purchase within a given category gives a sense of their engagement.
Gross Margin (GM): Gross margin is net sales less the cost of goods sold (COGS). In other words, it's the amount of money a company retains after incurring the direct costs associated with producing the goods it sells and the services it provides.
Customer Lifetime Period (CLP): Average retention time is The Retention Rate is the percentage of people who continue to use your website over a given period of time (week, month, or quarter).
Customer Lifetime Value (CLV): One of the biggest marketing mistakes you can make is to view your customer base through the lens of one sale only. The CLV metric takes a big-picture approach. It views customers through the lens of how much revenue they will produce for your company over the entire course of your relationship with them.
When you use Branalyzer, you access data from one unique source: the public web. Every day, we analyze millions of websites to index the most up-to-date business data. All the metrics values (traffic, KPIs, costs, ads, etc), are estimated values. We use state-of-the-art complex algorithms to improve the data that are shown in the different modules.
Most of our tools work only with the Google search engine. For search engine rankings and keyword analytics, we use third-party data providers to collect Google’s actual search results pages for the 500 million 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.
How we calculate the Monthly Revenue.
Monthly Revenue: Traffic * Conversion * AOV.
To get the Conversion Rate and AOV, the Branalyzer algorithm detects the main categories and subcategories from the domain. We use AI and scrapping techniques.
We need to do some complex tasks to scrape all domain text and match the categories. Every day we collect new domains from hundreds of different sources and update the data.
So, Monthly Revenue is an estimated data and we show the best accuracy of the market.
The accuracy is better in online stores than websites.
If for some reason the metrics you are analyzing are not exact, you can adjust them using "Business KPI Calculator",