# Optimizely Reviews **Vendor:** NetSpring **Category:** [Product Analytics Software](https://www.g2.com/categories/product-analytics) **Average Rating:** 4.3/5.0 **Total Reviews:** 3 ## About Optimizely NetSpring brings the modeling flexibility and exploratory power of BI to self-service product analytics, working directly off any cloud data warehouse. NetSpring was founded in late 2019 by industry thought leaders Vijay Ganesan, Priyendra Deshwal, and Satyam Shekhar. The founders were previously part of the founding team at ThoughtSpot, now a leader in the BI space. The company is headquartered in Redwood City, California. Key Functionality: - Self-serve answers to any question, starting from a rich library of product analytics reports, with the ability to pivot seamlessly back and forth between any report and ad hoc visual data exploration - Combine product instrumentation with any business data in your data warehouse for context-rich analytics - Avoid writing and maintaining complex SQL for funnel/path-type queries, but have the option of leveraging SQL for specialized analysis Key Benefits: - Full Business Context: Access any data in the warehouse. Deeply understand the drivers of retention, referrals, and revenue. - Privacy & Security: Your customer data never leaves the warehouse. Maintain a single governed source of truth. - Cost & Maintenance: Simply connect to the warehouse and self-serve. No data movement. Cost not tied to event volume. ## Optimizely Reviews ### 1. Customer and Product Analytics that tell the whole story 🔥 **Rating:** 4.5/5.0 stars **Reviewed by:** Simon H. | Director of Product, Mid-Market (51-1000 emp.) **Reviewed Date:** August 07, 2024 **What do you like best about Optimizely?** No more frustrating conversations wtih partners and leaders who have different numbers and no more waiting in queues for your data team to be available. While Netspring does require you to be set up with your data warehouse, it empowers your team to be more curious. Not only with browser behaviour but application data and anything else you throw at it. Netspring allowed us to tell more of the story of our product and how customers are using it. I also like how responsive the team is and how we can see revenue, customer, app and browser behavior all in the one app. Its made a difference in our data led decision culture. **What do you dislike about Optimizely?** The UI can be sluggish compared with competitors but I know the team is working on that and something we can be patient on as the value is in the data that it returns which we have never had access to befre. **What problems is Optimizely solving and how is that benefiting you?** Netspring help us work from a single source of truth for product, subscription, and customer data. We have instant access to our data warehouse for curious Product Managers and we have alignment on definitions and raw data across our organisation. This leads to less confusing conversation and has us all focusssing on the same goal. ### 2. One of the best self serving tool to improve growth over the various platforms! **Rating:** 4.0/5.0 stars **Reviewed by:** Anshul K. | Self learning, Small-Business (50 or fewer emp.) **Reviewed Date:** July 08, 2023 **What do you like best about Optimizely?** The best thing about this software is that one can efficiently track cohorts-specific and then self-serve, edit, and develop various ways to improve the platform. Providing only what is necessary is one of the most significant factors of it, as you only have to pay for insights and not the whole event volume. **What do you dislike about Optimizely?** I haven't seen anything wrong with Netspring, but if I have to list, I would say that one has to know specific terms, as when I first used this, I didn't know most of them. So, do your research and be sure to understand all those terms. **What problems is Optimizely solving and how is that benefiting you?** Knowing what is working and what is not is one of the main factors that humans use digital analytics. And I can say with surety that this does all the work. I have been using it to track all the user experience, and based upon that, I know what the things that matter the most are, and after that, I focus my attention on that area, and rest becomes history. ### 3. Revolutionizing Warehouse Management with Native Product Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2023 **What do you like best about Optimizely?** NetSpring has been introducing ground-breaking solutions for Warehouse management and product analysis. The analytics on the product is efficient enough to lead your business toward success. NetSpring can easily integrate with the warehouse System. This compatibility allows it for real-time data access and analysis, providing better product analysis. **What do you dislike about Optimizely?** There is no doubt that NetSpring is an Exception tool for Warehouse and Native Ptoduct Analysis, but it does have scope for growth in terms of limited scalability, Limited Integrations, and it must provide customizations based on industry type not wholly rely on a single layout. **What problems is Optimizely solving and how is that benefiting you?** Managing the Warehouse has always been a problematic task NetSpring easily integrates with the warehouse, extracts real-time data, and analyses it, which provides data for product analysis. - [View Optimizely pricing details and edition comparison](https://www.g2.com/products/netspring-optimizely/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-16+11%3A04%3A33+-0500&secure%5Bsession_id%5D=e2d592d4-13fd-46ed-9728-2b7f2e4c6f80&secure%5Btoken%5D=eb799164cf7c55ad9a47c8a8dbf3bd6d76832ee22172a5ef4567fcd2b38d16b4&format=llm_user) ## Optimizely Features **Metrics** - Sessions - Digital Analytics - Engagement - Entry and Exit Pages - Retention - Return - Conversions - Funnels **User Identification** - Demographics - User Segmentation - Geolocation **Product Analytics** - Account-Level Analytics - User-Level Analytics - Segmentation - Funnels - Alerts - Multi-Product Analytics - User Scoring - Integrations **Reporting** - Real-Time Reporting - Trending - Retroactive Reporting - Segmentation - Mobile Reporting - Unification Across Devices - Custom Reports and Dashboards **Tracking & Reporting** - Custom Event Tracking - Real-Time Insights - Attribution - Dashboard - User Path Tracking - User Activity History **Marketing Operations** - ROI Tracking - Data Collection - Customer Insights - Multi-User Access - Spend Management - White Label **Agentic AI - Product Analytics** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Proactive Assistance **Other** - User Data - Site Search Reporting - Load Time Monitoring - Campaign Tracking - E-Commerce - Administration Alerts **Metrics** - Engagement - Exit Tracking - Retention - Return - Conversions **Behavioral Analytics - Product Analytics** - Multi-Product Analytics - User level Analytics - Account level Analytics - Segmentation - Funnels **Campaign Activity** - Campaign Insights - Reports and Dashboards - Campaign Stickiness - Multichannel Tracking - Brand Optimization - Predictive Analytics **Agentic AI - Marketing Analytics** - Autonomous Task Execution - Cross-system Integration - Proactive Assistance **Agentic AI - Digital Analytics** - Autonomous Task Execution - Cross-system Integration - Proactive Assistance - Decision Making **Platform Infrastructure - Product Analytics** - Cross System integrations - Alerts - Integrations **AI driven optimization - Product Analytics** - User scoring - Adaptive learning - Automated insights - Autonomous task execution **Administration** - QA Testing - Performance and Reliability - User, Role, and Access Management ## Top Optimizely Alternatives - [Amplitude Analytics](https://www.g2.com/products/amplitude-analytics/reviews) - 4.5/5.0 (2,796 reviews) - [Pendo](https://www.g2.com/products/pendo-io-pendo/reviews) - 4.4/5.0 (1,741 reviews) - [Mixpanel](https://www.g2.com/products/mixpanel/reviews) - 4.5/5.0 (1,246 reviews)