Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In order to get a complete view of customer/account-level journeys, understand attribution, and uncover cross-functional business insights, event data is often duplicated and exported from product analytics solutions to the data warehouse. This creates inconsistent data between two platforms: siloed product analytics solutions and SQL/BI tools running on the data warehouse. Adding to the challenge, BI tools are not even designed to explore and derive insights from event data.
NetSpring offers a single self-service tool for product analytics with BI-style ad hoc visual exploration, working directly off the data warehouse as the single source of truth.
Key Benefits:
- GTM Teams: Self-serve answers to the next business question without worrying about data availability
- Data & Analytics Teams: Support GTM teams with governed, self-service tooling
- C-Suite: Leverage the data warehouse (source of truth) for consistent results and to avoid data duplication, reverse ETL, and security issues
Key Capabilities:
- Self-Service: Rich library of behavioral analytics templates
- Analytical Power of BI: Self-guided ad hoc visual exploration
- Warehouse-Native: Rich business context with no data duplication
Description
Nexly serves as a privacy-centric product analytics platform tailored for web, mobile, and backend applications. It integrates various functionalities such as traffic analytics, custom event tracking, funnels, reporting features, and AI-driven insights all within a single dashboard interface. Teams have the ability to link to AI tools like Claude, Cursor, and Codex via a secure hosted read-only MCP server that utilizes OAuth 2.1 for enhanced security. The pricing structure is determined by the volume of events processed, with all plans providing access to the full range of features. Currently, Nexly is in its beta phase, inviting feedback for future improvements. This innovative platform aims to empower organizations with comprehensive analytics while prioritizing user privacy.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Redshift
Databricks
Google Cloud BigQuery
Model Context Protocol (MCP)
Snowflake
Integrations
Amazon Redshift
Databricks
Google Cloud BigQuery
Model Context Protocol (MCP)
Snowflake
Pricing Details
$49/mo per seat
Free Trial
Free Version
Pricing Details
Freemium (event-based)
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NetSpring
Founded
2019
Country
United States
Website
www.netspring.io
Vendor Details
Company Name
Nexly
Country
Cyprus
Website
www.nexly.to
Product Features
Mobile App Analytics
A/B Testing
Channel Attribution
Cohort Analysis
Funnel Analysis
In-App Events Tracking
Push Notifications
Retention Tracking
Revenue Tracking
Uninstall Tracking
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation
Web Analytics
Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking
Product Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation