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What is NetSpring?

To achieve a thorough understanding of customer journeys and enhance attribution while gaining valuable cross-functional business insights, event data is frequently duplicated and transferred from product analytics platforms to data warehouses. This practice leads to discrepancies between the two systems: the isolated product analytics tools and the SQL/BI applications operating on the data warehouse. Compounding this issue, many BI tools are not optimized for analyzing event data effectively. NetSpring addresses these challenges by providing a unified self-service solution for product analytics that features BI-style ad hoc visual exploration, directly utilizing the data warehouse as the definitive source of information. Key Advantages: - GTM Teams: Access self-serve solutions to address pressing business inquiries without concerns over data accessibility. - Data & Analytics Teams: Enhance support for GTM teams with regulated self-service tools. - C-Suite: Utilize the data warehouse as the authoritative source for consistent outcomes, mitigating issues related to data duplication, reverse ETL, and security. Key Features: - Self-Service: A comprehensive library of behavioral analytics templates is available for users. - Analytical Power of BI: Enables users to engage in self-driven ad hoc visual exploration of data. - Warehouse-Native: Maintains rich business context while eliminating data duplication and enhancing accuracy, ensuring that insights are both reliable and actionable.

What is HockeyStack?

We partner with a wide array of SaaS companies, providing us with valuable perspectives on how data frequently becomes fragmented across different systems. HockeyStack is unique as it offers the only solution that allows you to consolidate and unify all your data effortlessly in a single hub. You can explore the strategies behind finalized deals, track user engagement on your website, and effectively assess product usage. With our sophisticated filtering options, you can identify specific accounts or visitors to monitor closely. By hovering over the graph, you can see the counts that correspond to each moment in the timeline, giving you a vivid representation of your data. When you select a date range of just one day, the data points are shown in hourly segments, while ranges from one day to a month display daily data, and anything exceeding a month presents monthly data points. The sources table also organizes sessions by referrers, UTM campaigns, and referrals, ensuring thorough tracking of all activities. Additionally, all advertisements are automatically tracked through UTM parameters, making it simple to access performance metrics within this table. This comprehensive level of detail not only enhances your understanding but also empowers you to make strategic decisions backed by real-time insights, maximizing your data's potential. As a result, your organization can respond more swiftly to trends and opportunities in the market.

Media

Media

Integrations Supported

Amazon Redshift
Chargebee
Close
Crisp
Databricks
Facebook Ads
Google Ads
Google Cloud BigQuery
HubSpot CRM
HubSpot Customer Platform
Intercom
LinkedIn Marketing Solutions
Mailchimp
Meta Ads
Paddle
Salesforce
Snowflake
Stripe
Vector
X Ads (Twitter Ads)

Integrations Supported

Amazon Redshift
Chargebee
Close
Crisp
Databricks
Facebook Ads
Google Ads
Google Cloud BigQuery
HubSpot CRM
HubSpot Customer Platform
Intercom
LinkedIn Marketing Solutions
Mailchimp
Meta Ads
Paddle
Salesforce
Snowflake
Stripe
Vector
X Ads (Twitter Ads)

API Availability

Has API

API Availability

Has API

Pricing Information

$49/mo per seat
Free Trial Offered?
Free Version

Pricing Information

$399 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NetSpring

Date Founded

2019

Company Location

United States

Company Website

www.netspring.io

Company Facts

Organization Name

HockeyStack

Company Location

Turkey

Company Website

hockeystack.com

Categories and 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

Categories and Features

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Marketing Attribution

Attribution Modeling
Audience Segmentation
Conversion Tracking
Cross-Channel Attribution
Customer Journey Mapping
Multi-Touch Attribution
Predictive Analytics
ROI 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

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