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
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
Yes
Databricks
Yes
Snowflake
Yes
ClickHouse
No
Common Room
No
Domo
No
Google Cloud BigQuery
Yes
HubSpot CRM
No
HubSpot Customer Platform
No
MongoDB
No
Integrations
Amazon Redshift
Yes
Databricks
Yes
Snowflake
Yes
ClickHouse
Yes
Common Room
Yes
Domo
Yes
Google Cloud BigQuery
No
HubSpot CRM
Yes
HubSpot Customer Platform
Yes
MongoDB
Yes
Pricing Details
$49/mo per seat
All plans include unlimited MTUs, unlimited Events and Data
- Growth (Starting at $49/mo per seat)
- Enterprise (Contact us)
- Growth (Starting at $49/mo per seat)
- Enterprise (Contact us)
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
No
Mac
No
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
No
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NetSpring
Founded
2019
Country
United States
Website
www.netspring.io
Vendor Details
Company Name
Scarf
Founded
2019
Country
United States
Website
about.scarf.sh/
Product Features
Mobile App Analytics
A/B Testing
No
Channel Attribution
Yes
Cohort Analysis
Yes
Funnel Analysis
Yes
In-App Events Tracking
No
Push Notifications
Yes
Retention Tracking
No
Revenue Tracking
No
Uninstall Tracking
No
Product Analytics
Attribution
Yes
Automatic Data Capture
No
Churn Reporting
Yes
Customer Feedback Collection
No
Customer Guidance
No
Customer Journey Analytics
Yes
Data Export
No
Data History Retention
Yes
Data Labeling
No
Product Engagement Scoring
Yes
Real-Time Data Analysis
Yes
Touchpoint Analytics
Yes
User Segmentation
Yes
Web Analytics
Campaign Management
No
Conversion Tracking
No
Form Analytics
Yes
Goal Tracking
No
Keyword Tracking
No
Multiple Site Management
No
Pageview Tracking
No
Referral Source Tracking
No
Site Search Tracking
No
Time on Site Tracking
No
User Interaction Tracking
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