Supported Operating System(s):Web browser (OS agnostic)
InnerTrends is a data analytics tool that helps software-as-a-service (SaaS) companies analyze the onboarding experience for new users. It is suitable for large and midsize SaaS vendors in any industry.
InnerTrends gives users information about client behavior such as where clients are dropping off during the onboarding process, why some clients leave while others finish the process, as well as how long it takes to complete onboarding. Users can drill down and look at client behaviour on an individual basis or as a whole and view potential problem areas during onboarding.
InnerTrends tracks client behavior throughout the onboarding process and identifies areas that could be having positive or negative effects on client experience. Users can set up aut...
1 Reviews of InnerTrends
5.00 / 5 stars
Filter reviews by:
Showing 1 - 1 of 1 results
Do you use this product?Write a review
Trevor from Inturact
Company Size: 2-10 employees
Industry: Marketing and Advertising
Time Used: Less than 2 years
Review Source: Capterra
Value for money
The best analytics tool for finding growth opportunities
We have implemented InnerTrends on 5 SaaS products so far and we are finally able to pinpoint and prioritize the biggest growth opportunity for each product without having to be a data scientist. This has helped to align our teams around growing the most important areas of each product and has led to much better bottom-line results.
The InnerTrends team helps to identify the most important data to track and validates it so we know everything that is being tracked is 100% accurate. It's the only tool we found that this is true and has shown to be extremely important. It is also the best tool we have found at helping us truly pinpoint the biggest growth opportunity within a product's user analytics without us having to be a data scientist. This has proven invaluable for determining product-led growth opportunities and helping with healthy SaaS growth.
It takes a couple of weeks to get set up since the data needs to be validated. However, this is still worth it as nothing is worse than making decisions based on bad data.