Applied TAM Ratings (September 2025)
This page breaks down Applied TAM ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Applied TAM’s overall reputation. This data-driven overview will show you exactly how Applied TAM is rated - including how it compares to competitors.
Applied TAM's Overall Rating Summary
- Average Rating:3.6/5
- Total Reviews:84 reviews
- Sources:G2, Capterra, Trustradius, Getapp, Softwareadvice
- Last updated:September 1, 2025
Applied TAM Ratings by Source
Platform | Rating | Reviews | Last Update |
---|---|---|---|
![]() | 3.4/5 | 55+ reviews | 01.09.25 |
![]() | 3.9/5 | 7+ reviews | 07.07.25 |
![]() | 4/5 | 8+ reviews | 01.09.25 |
![]() | 3.9/5 | 7+ reviews | 01.09.25 |
![]() | 3.9/5 | 7+ reviews | 01.09.25 |
What is Applied TAM?
Applied TAM software provides a clear picture of clients and day-to-day operations, automating servicing as part of daily system workflows to reduce manual tasks. Key benefits include creating consistent workflows, connecting with insurer partners within the core system, and using targeted marketing campaigns to cross-sell and upsell. Capabilities include process management and automation, omnichannel customer service, and insurer connectivity via single sign-on.
🤔 Applied TAM vs Competitors: How Do Ratings Compare?
Check out Applied TAM AlternativesFrequently Asked Questions
How many stars is Applied TAM rated?
Applied TAM has an average star rating of 3.6 out of 5 stars based on average of 84 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Applied TAM public reviews pages on platforms: G2, Capterra, Trustradius, Getapp, Softwareadvice. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Applied TAM is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.