How the Capterra ranking for software solutions is created
We have developed our own popularity index to rank the solutions in each market. The algorithm calculates a popularity score for each solution based on the following factors:
Capterra's Software Popularity Index
Number of customers: Number of companies or organizations that have licenses for the software.
Number of active users: Individuals in these organizations who actively use the software.
Social media presence: Twitter followers, Facebook likes, LinkedIn followers, and number of customer reviews on Gartner Digital Markets websites (Capterra, GetApp, and Software Advice).
The number of customers and users each make up 40% of the score, and the presence in social networks makes up 20%.
Frequently Asked Questions
Why don’t we simply identify all the players in a sector and rank them according to their turnover?
Most software companies are not publicly traded and are therefore not required to disclose their revenues. And even when companies do disclose their revenues, they often do not break them down by product line.
However, the main reason we do not include revenue in our calculation is that each india telegram data india telegram data software company has its own pricing policy.
Even if two competing software vendors have the same revenue, one of them may have a much higher market presence because its software products cost less. If we were to include revenue in our analysis, we would be giving an unfair advantage to more expensive products.
Software buyers want to know how popular and widely used products are, not which software company makes the most money. That's exactly the information we want to give them.
So why don't we just use the number of customers? When it comes to business software, there is a huge difference between individual customers. A customer with thousands of users will create a wider distribution of a software solution than one with only a few dozen users.
However, if we only consider the number of users, we have a similar problem. A higher number of customers only means a higher adoption of the software if the total number of users is the same. This problem can be easily circumvented by considering both factors - number of customers and number of users.