Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Product Usage Analytics to Make Smarter, Faster Strategy Decisions and Roadmap Decisions. Usage Intelligence (formerly Revulytics), helps you make better decisions, whether you are defining new features or optimizing existing product functionality. Analyze actual product usage metrics to understand user interaction and engagement with your software. Also, analyze your install base to create a data-driven strategy that will guide you in making pricing, pricing, and sunsetting decisions. Analytics can help you make better product management decisions. Developer teams can use technical and environment data to gain insight into infrastructure and support requirements. Usage Intelligence is the first solution for software usage analytics. It provides deep insight into application usage. Find out which features are most used.
Description
Scarf serves as a comprehensive platform aimed at delivering in-depth analytics to open-source project maintainers regarding the utilization of their software. By presenting valuable insights on aspects like the companies engaging with a project, the frequency of package downloads, and the specific versions being utilized, Scarf enhances the effectiveness of sales and marketing strategies. It plays a crucial role in discovering prospective customers within the open-source community via Open Source Qualified Leads (OQLs), thereby allowing businesses to fine-tune their outreach initiatives effectively. Additionally, Scarf's integration with multiple third-party platforms further amplifies the utility of the data it offers, ensuring that users have a holistic view of their project's impact and reach in the market. This multifaceted approach not only streamlines analytics but also fosters stronger connections between project maintainers and potential users.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Redshift
No
ClickHouse
No
Common Room
No
Databricks
No
Domo
No
HubSpot CRM
No
HubSpot Customer Platform
No
MongoDB
No
MongoDB Atlas
No
Percona Distribution for PostgreSQL
No
Integrations
Amazon Redshift
Yes
ClickHouse
Yes
Common Room
Yes
Databricks
Yes
Domo
Yes
HubSpot CRM
Yes
HubSpot Customer Platform
Yes
MongoDB
Yes
MongoDB Atlas
Yes
Percona Distribution for PostgreSQL
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Revenera
Founded
2006
Country
United States
Website
www.revenera.com
Vendor Details
Company Name
Scarf
Founded
2019
Country
United States
Website
about.scarf.sh/
Product Features
Application Lifecycle Management
Administrator Level Control
No
Defect Tracking
Yes
Iteration Planning
No
Project Management
Yes
Release Management
No
Requirements Review
No
Task Management
No
Test Case Tracking
No
User Level Management
No
Version Control
No
Application Performance Monitoring (APM)
Baseline Manager
No
Diagnostic Tools
Yes
Full Transaction Diagnostics
Yes
Performance Control
No
Resource Management
No
Root-Cause Diagnosis
No
Server Performance
No
Trace Individual Transactions
Yes
Customer Experience
Action Management
No
Analytics
Yes
Customer Segmentation
Yes
Dashboard
Yes
Feedback Management
Yes
Knowledge Management
No
Multi-Channel Collection
Yes
Sentiment Analysis
No
Survey Management
No
Text Analysis
No
Trend Analysis
No
Product Analytics
Attribution
No
Automatic Data Capture
No
Churn Reporting
No
Customer Feedback Collection
No
Customer Guidance
No
Customer Journey Analytics
No
Data Export
No
Data History Retention
No
Data Labeling
No
Product Engagement Scoring
No
Real-Time Data Analysis
No
Touchpoint Analytics
No
User Segmentation
No
Product Features
Product Analytics
Attribution
No
Automatic Data Capture
No
Churn Reporting
No
Customer Feedback Collection
No
Customer Guidance
No
Customer Journey Analytics
No
Data Export
No
Data History Retention
No
Data Labeling
No
Product Engagement Scoring
No
Real-Time Data Analysis
No
Touchpoint Analytics
No
User Segmentation
No