Use the comparison tool below to compare the top Product Analytics software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Segment
Twilio Inc.
$120 per month 803 RatingsTwilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Using Twilio Segment, companies can collect, unify and route their customer data into any system. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences. -
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Revuze
Revuze
12 RatingsRevuze revolutionizes the consumer insights landscape through advanced Generative AI analysis. With extensive experience in LLM training, our solutions unlock the full potential of verified buyers' insights across multiple e-commerce sources. Seamlessly integrate review analytics into your marketing and product processes, enabling data-driven strategic decision-making. Benefit from high-quality data, insightful predictions, and scalable capabilities across diverse sources and regions. Experience real-time analysis with intuitive features, dynamic dashboards, and comprehensive reports. From data collection to final visualization, Revuze's end-to-end solutions empower you to navigate rapidly changing categories and make confident daily data-driven decisions. Discover the power of Revuze, the industry-leading GPT for consumer insights, and gain a deeper understanding of your customers and competitors. -
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Voice and written support makes it easy to get answers. Based on your interests, history, and role, you will receive personalized and recommended results. Quaeris provides near-real-time data access for all data. Quaeris enhances your existing dashboards. To increase knowledge sharing and track performance, teams can share insights and pinboards. Ask questions in plain English. There's no need for keywords or queries. Our advanced AI engine transforms your inquiry to a database-ready language within seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.
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Heap is an infrastructure that automates insight for all businesses. Heap is innovative and rich in features. It allows companies to automate user analytics, so they can concentrate on their core business. Core, Warehouses, Conversion, Enrichment and Conversion are all Heap products.
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Pendo
Pendo
Pendo is a product-experience platform that helps software product managers deliver products that users love. Pendo allows product teams to answer questions such as "What features are customers using?" What features are they overlooking? Which ones are driving delight, and which are causing pain or confusion? These same insights allow you to quickly set up in-app messages and guides, as well as walkthroughs, without needing any programming. This will help users get the most out of your products. Pendo allows you to quickly identify the features and workflows that cause users pain and pleasure. You can then use the platform to guide users through these rough spots and encourage them to adopt the features that make them raving fans. -
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Mixpanel's mission is to increase innovation. Mixpanel is not only a company but also a service provider for businesses. Companies can use our engagement and analytics product to analyze how users interact, convert, retain, and engage with them in real-time on web, mobile, or smart devices. They can then use this data to improve their products and business. Mixpanel serves more than 26,000 companies in different industries worldwide, including Samsung, Twitter and BMW. Mixpanel is headquartered in San Francisco and has offices in New York City, Seattle, Austin. London, Paris, Barcelona, Paris, London, and Singapore.
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UXPressia is an all-in-one online solution for understanding customer, user, buyer, and employee experience, engaging teams, and driving successful digital transformation. Visualize your customer journeys, create personas, and impact maps, analyze touchpoints in multi-channel interactions, and invite teammates to collaborate with you in real-time. Identify relations between your mapping initiatives, and set up a team library for the team to store and reuse components and files to achieve consistency across all projects. Export designer-quality maps and personas and present them right from your browser online. Use one of 120+ ready-to-go templates for 10+ industries to start working on your project in no time. Training video & demo sessions on request | Help Center | Free guide and other materials, live events on personas and journey mapping | Support | Per-contributor price (Viewers are free of charge).
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Seeing what's happening on your website or apps can help you accelerate growth. Kissmetrics is ideal for SaaS product or marketing teams. We provide the information you need in order to acquire qualified prospects, convert more trial customers into paying customers, and decrease churn. Kissmetrics is also suitable for ecommerce product marketing and product teams. We provide the information you need in order to optimize your checkout funnel, convert loyalists into customers, and increase your customer's lifetime value.
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Countly, a product analytics tool and innovation enabler, helps organizations track product performance, user journeys, and behavior across mobile, desktop, and web applications. It ensures privacy by design and allows organizations to innovate and improve their products to deliver personalized and customized customer experiences and meet key business goals. You can track, measure, and then take action - all from within Countly.
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Easily and quickly design and manage any customer journey. The most widely used Customer OS provides everything you need to help your customers succeed. You can choose your customer journey or create your own. You can use our best practices templates to help you create your journey or initiative. Why not start from scratch? Securely connect all customer data to create a single view of your customer. Easy to manage and maintain. All your data is in one place. It's easier than ever to design, manage, and measure your best customer engagements. Automate workflows throughout your entire company. Hyper-personalized communications for each individual user can boost your digital engagement. Flexible and adaptable. It has everything you need to get started, tune, and grow.
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Smartlook is a mobile analytics solution that helps websites and apps to understand the whys behind users' actions. It has helped over 300,000 companies of all sizes and industries. You can eliminate the guesswork and find real, actionable reasons. Smartlook offers a unique way to understand user behavior at the micro-level. Smartlook's always-on visitor recordings allow you to see every visitor on your website or app. Automatic event tracking allows you to track how and when your visitors do certain things. To see conversion rates and uncover why people are churning, you can create conversion funnels. Heatmaps for websites provide mass data about where people click, scroll and hover on your pages. Smartlook was ranked among the Top 100 Software Products in 2019 G2 Crowd Awards. It serves customers such as O2, Miele and Hyundai. It can also record Unity-engine games.
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Adobe Analytics
Adobe
7 RatingsAdobe allows you to mix, match, analyze and analyze data from any point in the customer journey. You also get flexible reporting and predictive intelligence. You can turn huge amounts of web data into actionable insights with our award-winning tools. We accept data from all channels. All data can be brought together to provide real-time insights that are based on 360-degree customer views. This opens the door to better decision making. Use powerful attribution to identify the reasons behind every conversion and make informed investments. We make difficult things simple. With just a click, our AI and machine learning reveal hidden opportunities and provide answers for everyone. It's no longer enough to report visits and measure page views. You need to measure customer pathing and traffic sources. Content effectiveness, video engagement, and content effectiveness are all important factors in maximizing the power of the internet. You need to know more about who is visiting your site. You must understand why. To determine the best page or product for them to see. -
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Google Analytics
Google
61 RatingsGet to know your customers. Gain a deeper understanding about your customers. Google Analytics provides all the tools you need to analyze data in one place. To better assess the performance of your marketing, content, and products, you need to understand your site and app users. To get the most from your data, use Google's unique insights or machine learning capabilities. Analytics can be used with Google's publisher and advertising products. This allows you to use your analytics insights for reaching the right customers. Easy-to-use interface makes it easy to share and process your data. You can also share reports. Analytics intelligence, detailed reports, and many other features will help you get the most out your data. You can easily access data from other Google solutions while you work in Analytics. This streamlines your workflow and saves time. Get deeper insight into how users interact with your site through Google Ads campaigns. -
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Smaply is a web-based journey mapping tool for small and large companies who want to improve their customer experience and scale design thinking in their organization. Flexible editors | collaboration | live sharing | feedback mode | professional exports | PowerPoint presentations | multiple personas | data integrations | API | trainings | Support | Procurement | Coaching hours | Per-user-price | English & Spanish | Link lane | Journey map templates | Persona templates Smaply's collaborative platform allows enterprises to grant specific roles to employees, invite user comments and share HTML versions with other team members. Managers can create client personas by uploading images and adding key highlights that are relevant to the customer's journey. It also includes an administrative dashboard that allows users to view ongoing projects and retrieve details about specific stakeholders via search functionality. Monthly and annual subscriptions are available with different pricing options. Support is available via email, phone, and other online methods.
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The Deepest Digital Adoption Platform Chameleon is a sophisticated no-code platform for product success, empowering SaaS teams to build self-service user onboarding, feature adoption, and feedback collection. PMs, PMMs, and CSMs can build, manage and improve product experiences for your web application without writing code. Increase activation with product tours, boost adoption with tooltips, get user feedback with surveys, and offer guidance with checklists. Simple to get started, but with deep configuration available • Use your own fonts • We automatically pull styles from your product • Adjust anything with custom CSS • Fine tune any element with your own custom CSS • Configure templates • Save templates to make it easy to build on-brand
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Woopra is a Customer Journey Analytics platform that helps companies understand, analyze and retain customers. The platform is designed for optimization and growth across the entire customer lifecycle. The platform uses individual-level data to generate aggregate analytics reports that provide full lifecycle insights and bridge departmental gaps. Woopra's proprietary tracking technology tracks your usage across your website and mobile apps. The platform also offers 51+ integrations with partners like Salesforce, Marketo and Intercom. This allows you to seamlessly unify disparate data points across tools or teams.
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Create products that lead to outcomes Amplitude is a product intelligence platform that helps teams engage, convert, and retain customers. Amplitude is a tool that helps teams build digital products. It allows them to better understand customer behavior, deliver better experiences, and retain more customers. Get a better understanding of your customers' experiences with your digital products. Teams can ship faster, measure impact and visualize user journeys. Personalize product experiences to increase engagement, conversion, loyalty. Product intelligence provides teams with the data and insights they need in order to create great product experiences. It can also be done at scale. Self-service analytics can be used to analyze what happens and why. To make quick changes, align on decisions and integrate your existing workflows and tech stack.
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SessionStack
SessionStack
Upon requestSessionStack uses cutting-edge session recording technology empowered by AI to form a Digital Experience Analytics platform. This platform aids e-commerce businesses in pinpointing customer obstacles, drop-off points, and untapped conversion prospects. The platform's insights speed up the optimization of the overall user experience by leveraging data-driven optimization of conversion rates. Our proprietary machine-learning models cater perfectly to e-commerce decision-makers aiming for revenue maximization. SessionStackAI combines qualitative and quantitative user data to fuel a comprehensive overview of website or mobile app interactions. With its auto-capture features and extensive retrospective data, the platform ensures a thorough analysis, detecting any friction points or new conversion possibilities in real-time. -
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cux.io
cux.io
€79 per monthCUX in nutshell: ✔ User Behavior Analysis ✔ Experience Metrics ✔ Goal-Oriented Analysis ✔ Conversion Waterfalls ✔ Entire Visits Recording ✔ Heatmaps ✔ Pre-analysis & Alerts ✔ Auto-capture Events ✔ Retroactive Analysis ✔ 100% GDPR-compliant ✔ Data stored in EOG ✔ SSL secured -
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NetSpring
NetSpring
$49/mo per seat 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 -
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Bucket
Bucket
$249/month Bucket combines qualitative feedback and feature engagement metrics in one place. Look beyond feature adoption by analyzing long-term retention, user satisfaction and every part of your app. -
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devtodev
devtodev
Freedevtodev is a product analytics platform that allows data-driven teams to gain valuable insights and influence user decision making. You can convert users to paying users, improve app economics, predict revenue, customer lifetime value, and predict churn. You can also analyze and influence user behavior. -
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Indicative
Indicative
$0.00Indicative is used by product managers, marketers, and business analysts to increase customer engagement, retention, and conversion. Indicative connects all your customer data sources and synthesizes them into a complete view. This gives you the actionable insights that you need to grow your customer base, build great products, and increase your sales. Indicative's free plan allows you to access the robust behavioral analytics platform and up to 1 billion user actions per month. -
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data.ai Intelligence
data.ai
FreeData.ai Intelligence. Analyzing app market trends based upon downloads and revenue around world will help you discover which markets are experiencing the greatest growth. Gain a deeper understanding of the app market landscape to improve your competitive knowledge. Track your competitive market share by analyzing downloads, revenue, usage, engagement metrics, and more. Identify new players and potential threats. Analyzing performance trends across your industry can help you identify potential threats. To find out which country, store, category, or device is driving success, access estimates for millions of apps. Understanding engagement metrics such as active users, market penetration, duration, and frequency of use. Monitor and track competitor market share, growth trends, rank trends, and more. -
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Keen
Keen.io
$149 per monthKeen is a fully managed event streaming platform. Our real-time data pipeline, built on Apache Kafka, makes it easy to collect large amounts of event data. Keen's powerful REST APIs and SDKs allow you to collect event data from any device connected to the internet. Our platform makes it possible to securely store your data, reducing operational and delivery risks with Keen. Apache Cassandra's storage infrastructure ensures data is completely secure by transferring it via HTTPS and TLS. The data is then stored with multilayer AES encryption. Access Keys allow you to present data in an arbitrary way without having to re-architect or re-architect the data model. Role-based Access Control allows for completely customizable permission levels, down to specific queries or data points.
Overview of Product Analytics Software
Product analytics software is a type of software used to track customer activity and engagement with a product over time. It can provide valuable insights into how customers use the product, what features they like, and which ones they don't. Product analytics allow companies to better understand customer usage patterns and make more informed decisions about product development, marketing campaigns, customer support, pricing models, and more.
Product analytics typically collects data from multiple sources such as web interactions, mobile applications, in-app behavior tracking and user feedback. This information is then used to generate descriptive reports that provide insight into how users interact with the product or service. Reports may include usage trends over time, feature adoption rates or demographics of active users.
Analytics also makes it possible for businesses to quickly identify potential problem areas in their products or services by analyzing customer feedback or performance metrics in real time. This allows them to identify issues before they become larger problems and take action quickly to address any issues that arise. Additionally, product analytics allows businesses to assess the effectiveness of A/B testing experiments across platforms by comparing performance data in different conditions.
Product managers can also utilize this type of software to measure the value each feature brings to customers and determine whether it should be continued or removed based on its performance data over time. The ability to analyze engagement trends across different versions of a product gives companies the ability to optimize their offerings for maximum ROI (Return on Investment).
Finally, many types of product analytics software come with automated notifications triggered when particular events occur such as low usage rates for a given feature over time or sudden drops in satisfaction scores across multiple users in a specific region—allowing teams to respond quickly when needed without having to manually review all of the data themselves every time an issue arises.
What Are Some Reasons To Use Product Analytics Software?
- Product analytics software can help businesses gain insights into their product usage and performance. By understanding user behaviors, companies can optimize the design of their products to ensure they are meeting customer needs in the best possible way.
- Product analytics software can help businesses identify areas of improvement in terms of product features, functionality, and usability. Through this data-driven approach, companies can make better product decisions that are tailored to their customers’ wants and needs.
- Product analytics software can provide valuable insights into customer engagement with a product or service. Companies can then use this information to develop marketing campaigns that target customers who are more likely to purchase their products or services based on past user activity or behavior patterns.
- Product analytics software allows companies to test different versions of a product before launching it on the market – allowing them to refine the design until it meets customer expectations and provides the best possible user experience for their customers.
- Finally, product analytics software makes it easier for businesses to measure ROI on various aspects of their products such as feature adoption rates and conversion rates from website visitors to paying users/customers which helps them make more informed decisions about how much money they should spend on marketing campaigns for each feature set or version of a product/service release cycle.
Why Is Product Analytics Software Important?
Product analytics software is an essential tool for any business looking to maximize the success of its products or services. The data collected from product analytics can be used to inform decisions about product development and marketing, giving businesses invaluable insight into the customer base and helping them deliver better experiences.
From customer segmentation to customer journey mapping, product analytics tools provide detailed information about what customers are doing with your products or services. By collecting a variety of data points such as customer demographics, engagement levels or purchase patterns, businesses are able to gain a deeper understanding of their users that can be used to inform everything from pricing models to design choices. This data can also be used to identify potential new markets and develop more targeted campaigns that focus on reaching these audiences.
Product analytics software allows businesses to track how well their products are performing over time, enabling them to monitor key performance indicators such as order volume, revenue or conversion rates. This is particularly useful when assessing the impact of changes in strategy or tactics on the overall success of a product line. Data gathered through product analytics can also be used in conjunction with other sources such as market research surveys or advertising returns in order to assess what approaches work best for particular markets or demographics and make adjustments accordingly.
Finally, by providing valuable insights into user preferences and behaviors, product analytics helps businesses better understand customer needs and develop solutions accordingly. Companies can use this data not only to improve existing products but also to create entirely new offerings that meet user demands more effectively than ever before—ultimately improving both ROI and overall satisfaction among customers alike.
Features of Product Analytics Software
- Automated Dashboards: Product analytics software often comes with automated dashboards that give users a clear visual representation of their metrics and data over time. This feature enables users to quickly identify trends, make better-informed decisions, and spot potential problems before they occur.
- Funnel Visualization: This feature allows you to track customer journeys from top-level engagement (e.g., visits) all the way through to conversion (e.g., sales). With funnel visualization, you can see exactly where customers drop off in the purchase process so that you can pinpoint any issues or areas for improvement.
- Cohort Analysis: Cohort analysis is an important tool in product analytics software as it allows you to compare groups of similar users who have taken different paths in your product's usage cycle. By understanding how user cohorts differ from each other, you can infer why a certain type of user is more successful than others at completing specific actions/tasks on your product or website.
- Multi-Touch Attribution Modeling: This feature gives credit for particular conversions such as purchases or signups among multiple channels and touchpoints along the user journey in order to better understand which channels are influencing those conversions most effectively and efficiently.
- Behavioral Analytics & Personalization: Product analytics software also includes features that allow marketers to gain deep insights into customers’ behaviors across various segments and use this data to create personalized experiences for them based on individual preferences or interests e.g., sending out tailored communications about relevant products or services in particular moments throughout the customer lifecycle journey for maximum engagement effectiveness.
- AB Testing Capability: AB testing provides an easy way to test changes made on your website against a control group so that you can verify the impact they have on overall website performance metrics like visitors, clicks, conversions, etc. Through A/B testing capability within products analytics software marketers will be able to quickly test just about any element of their websites with confidence that valid results will be obtained from their experiments due to its sophisticated features like statistical significance tests etc.
Types of Users That Can Benefit From Product Analytics Software
- Business Executives: Product analytics software helps executives make decisions about marketing, product design, customer service, and more by providing insight into trends in customer behavior.
- Marketers & Creators: Programs can provide data insights to marketers and creators, allowing them to measure the success of their campaigns and find out what resonates best with customers.
- Product Managers: Product analytics software can help product managers identify user needs and track the performance of products over time.
- Researchers & Analysts: Software like these can provide researchers with a comprehensive view of how users interact with products in order to allow them to make informed decisions when developing new products or features.
- Data Scientists: By combining machine learning algorithms with product analytics data, data scientists are able to uncover patterns that would otherwise remain hidden. These patterns can be used to inform product decisions and improve customer experience.
- Customer Support Teams: Through the use of product analytics software, customer support teams can gain valuable insights into user behavior which allows for faster issue resolutions and better-tailored support experiences.
How Much Does Product Analytics Software Cost?
Product analytics software can range in cost from a few hundred dollars per month for basic packages to tens of thousands of dollars per year depending on the features and complexity. Generally speaking, those looking to purchase product analytics software should expect to pay anywhere from several hundred up to several thousand dollars per month or per year, depending on the feature set desired. At the basic levels, many smaller businesses may find that purchasing an off-the-shelf solution is sufficient. For larger businesses or those wanting more customized options, specialized enterprise solutions may be required that offer far more detailed analysis capabilities and come with significant costs attached. Ultimately, the exact cost of product analytics software will depend on each individual's business needs and budget.
Risks To Consider With Product Analytics Software
- Security Breaches: Product analytics software can store large amounts of data, making it vulnerable to security breaches. This could result in sensitive customer information being exposed, or a hacker gaining access to the system and manipulating data.
- Data Loss: Product analytics software stores vast amounts of data, which can be susceptible to damage or loss due to hardware failure, human error, malicious attacks, or other unexpected events.
- Compliance Violations: Companies may not comply with legal or regulatory requirements when collecting and storing customer information on product analytics software systems.This could lead to fines or penalties for non-compliance.
- Cost Overruns: Implementing and maintaining complex product analytics solutions can be expensive. If the cost is not managed properly, companies may find themselves dealing with costly overruns and inefficient use of resources.
- Vendor Lock-in: Businesses using certain product analytics solutions may become locked in with that vendor’s services due to proprietary technology and pricing structures. This means they will have difficulty changing vendors without incurring significant costs.
Product Analytics Software Integrations
Product analytics software can integrate with a variety of different types of software applications. Applications such as customer relationship management (CRM) systems, enterprise resource planning (ERP) systems, marketing automation platforms and even web analytics tools may all be connected to product analytics software. These integrations allow for an organization to leverage the data from each respective system in order to make informed decisions regarding their products. By combining various sources of data into one cohesive solution, product analytics can help identify areas that need improvement, give insight into customer behavior and provide guidance on where to focus resources.
What Are Some Questions To Ask When Considering Product Analytics Software?
- What type of product analytics software does the vendor provide? Does it include business intelligence capabilities or just basic analytics tools?
- How easy is it to use and learn? Does the software offer detailed tutorials or other support materials to make onboarding easier?
- Is there an option for customizing or extending the functionality of the product analytics software, such as adding new features or integrations with other third-party tools and services?
- Is there a way to track key performance indicators (KPIs) related to your products, such as user engagement metrics, revenue numbers, page visits, etc.?
- How comprehensive are the reporting and analysis capabilities? Can you generate complex reports based on data from multiple sources easily?
- Are there any limits in terms of storage capacity or data access when using this product analytics software?
- Are regular software updates included with the service contract and how often do they occur?
- What security measures are in place to protect my data while using this tool?