Best Product Analytics Software You Can Use In 2023

Best Product Analytics Software You Can Use will be described in this article. In order to enhance the overall user experience and achieve corporate objectives, product managers and owners can use product analytics software to monitor product version in terms of key performance indicators, such as visits, engagement, interactions, behavior patterns, and so forth. Product analysis software’s main objective is to infer benefits from data by interacting with users.

Best Product Analytics Software You Can Use In 2023

In this article, you can know about Product Analytics Software here are then details below;

Product Analytics vs. web analytics

Web analytics and product analysis both help firms achieve their goals, but they use rather different techniques. In order to understand consumer behavior, a company’s products or services are the subject of the product analysis, which collects data from a variety of sources. This strategy aims to give decision-makers a more useful insight of how consumers interact with the product and assist them in making improvements to the good or service.

Product analytics software’s data insights are used to show appropriate consumer behavior. Based on this data, you may utilize the facts to enhance the features and user experience, align your roadmap with user needs, increase acceptability, and increase conversions. Insightful data, instruments for enhanced automation and visualization, and other services could also be provided by them. Web analytics monitors and assesses the ways in which users (web traffic) find and use a website. These actions maximize online utilization, increase business reach, and enhance website efficiency.

Google Analytics (GA) vs. Product analytics (PA) Software

Software for web analytics is called Google Analytics (GA). It tracks specific user activity on a website and provides metrics such as average time on page, sessions, unique visitors, and page views. Without a doubt, GA provides great free data to help website owners optimize their locations for more online visitors. However, while GA analyzes anonymous traffic, product analytics (PA) uses more realistic user behavior data.

Some Limitation of google analytics (GA) over product analytics (PA) software

  1. Because GA provides a broad picture of the event, it is hard to tell what users were doing prior to and following the drop point.
  2. Content that is not HTML, such forms filled out, videos seen, and PDF downloads, cannot be monitored.
  3. No access to raw data: GA provides custom data that is challenging to examine for in-depth understanding.

4-Some users disable JavaScript and cookies in their browsers, which restricts the use of Google Analytics frameworks, SDKs, and collection tags. This results in problems with data visibility. You can find exact numbers on Google’s website.

5- Processing of PII (Personally Identifiable Information) data is not supported by GA. It therefore requires time and effort to ascertain the value that particular users derive from your product.

6-GA does not offer any particular customer service or assistance.

7-PA helps optimize effective features and provides your users with critical information based on malfunctioning features. If you know what your consumers do, how they use features, and what they appreciate best about your product, you can keep them interested for longer, increase sales, and increase customer retention.

We will go over these additional capabilities and advantages of using PA in the next section.

How do you choose the best product analytics software to get the required results?

The category of the product or service will determine which software is the finest, but generally speaking, the following seven factors will help you choose the best option for your needs:

Record unique events like as form fills, button clicks, page views, and so on with Custom Event Tracking.

Automatic Retrieval: By removing the need to select which events to track ahead of time, it relieves manual tracking teams. It facilitates trend tracking as well.

Low Code Reliability: Facilitates the incorporation of tracking code and eases non-technical individuals’ management.

Detention Reporting: Help forecast client retention by using consumer pathways, behaviors, and procedures.

Segmentation: This makes it possible to assess data according to predetermined criteria, including typical behavior or demographics.

Third-party Integrations: To enhance automation, visualization, and optimization for the good of the entire team, including B. Sales, Marketing, Product Management, Customer Success, and so forth.

Real-time Data: Programs that provide information in real-time are preferable than those that require hours to read the dashboard’s data.

Product analytics software importance

A company’s approach to product management must include product analysis as most apps aren’t designed to provide comprehensive reports on their own. Without analytics, usage data is frequently interpreted incorrectly and is not trustworthy. Product analytics software unifies various data sources into a single, well-organized perspective, making unstructured data useable. Here are a few more advantages of PA:

Quality Data: Product teams may review data at a deeper level than is possible with human error-prone surveys, chats, and interviews thanks to product analysis systems.

Features Implementation: Incorporating product analytics can aid organizations in testing new features and assessing user experience, as well as in understanding how their customers use present features. A team may utilize product analytics data to work toward a goal when deciding how many new features to implement.

Customer Retention: Product analysis has proven to be one of the most effective tactics for increasing customer retention and securing a company’s place in a cutthroat market, according to app development technology businesses.

Let’s examine a few of the top tools for product analytics.

The Top 8 Product Analytics Programs for You to Choose

You can utilize product analytics software in 2022.

1. GoodData


In order to help companies increase their return on investment (ROI), GoodData provides a BI (Business Intelligence) platform for producing and distributing product analysis. This platform supports the development of data strategies for constructing new products. Easy-to-use, customizable dashboards let any management produce new reports and customize dashboards, visualizations, and more without requiring any special experience. Additionally, because of its flexible architecture, businesses can offer analytical solutions to employees, clients, and business partners while integrating with current infrastructure.

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It is also possible to integrate with a variety of databases and data warehouses, such as AWS Redshift, BigQuery, Snowflake, PostgreSQL, and Vertica. By utilizing state-of-the-art technology and industry best practices, GoodData guarantees the highest level of data safety. Several degrees of security mandated by international standards including GDPR-S, SOC2, PII, ISO, CCPA, and others are used by this platform.


1 – Protect customer and business data with Enterprise Security and Shield.

2 – Use iframes to quickly and simply integrate dashboards, visualizations, and analytics.

3-The platform can be accessed in the cloud as well as on-site.

4-Scalability is possible in all respects—data volume, cost, and user—while maintaining IT flexibility and data speed.

GoodData offers five workspaces at no cost for a restricted period of time. Features and data volume are used to determine pricing instead of users or queries.

2. MixPanel


With the help of Mixpanel, you may better understand user behavior and choose which SaaS products to develop. It provides event-based product analysis, which examines specific user interactions in real time to identify trends and effectively comprehend consumer behavior. This software has privacy features for data compliance and international data transfer regulations, such as GDPR, CCPA, HIPAA, and others, because user data protection is crucial. Furthermore, because it uses an event-based approach, a more accurate picture of user involvement is captured, facilitating more thorough analysis and more successful message and experiment targeting.

The software team leverages development approaches including role control, better encryption, and built-in SOC 2 Type II certification to protect consumer privacy. Furthermore, interactive reports offer a comprehensive visual representation of user-specific information, including which users stick around for how long, how users behave in groups, how user behavior relates to long-term retention, where and why consumers leave, and so forth. Lastly, user ideas, events, and attributes are included in the detailed level analysis to provide a thorough and pertinent analysis of tasks that are unique to each user. Here are a few instances of attributes, events, and users.


  1. An impact report to evaluate the success of the launch.

2 – Make unique properties without the need for development personnel by utilizing straightforward formulas.

3 – Easily synchronize Mixpanel data with the rest of your interoperability stack.

4- Dashboards give a summary of custom data like retention or product adoption.

5-Identify the key user paths to cut down on friction.

Mixpanel is a straightforward but powerful product analysis tool that could increase user engagement, conversion, and retention. The first 100,000 users receive a free version of the software.

3. Pendo


Pendo helps companies comprehend how consumers view their products and how different routes through the product result in more insightful business data. It is employed by Fortune 500 firms, B2B tech startups, healthcare systems, and educational institutions to increase software product adoption. Its unique selling point is how it combines in-app messaging with insightful product analysis and customer feedback, making it easy for users to quickly become accustomed to the software.

Product teams may work together on both qualitative and quantitative data using this platform, which helps them make informed decisions on customer support throughout the product lifecycle. To put it briefly, Pendo helps businesses get a better understanding of their goods, including which features users utilize and ignore. Which option is the best one to select, what quality leads to conflict, and so forth? This will enable the business to produce new goods and relieve client discomfort. The technology also helps with in-app messaging, manuals, and instructions without requiring any code, to optimize product value.


  1. Goal-setting to align with business objectives is aided by user orientation that is quick and easy.
  2. Easily monitor, log, and rank client feature requests.
  3. Data analytics to recognize revenue-generating activities and comprehend client behavior.

4-Comprehensive customer care systems that improve client satisfaction while reducing costs and raising client competency.

Pendo software promotes innovation, which helps businesses deliver better product experiences for happier, more productive users. Up to 1000 active users can utilize it for free each month.

4. Woopra


Woopra is a state-of-the-art customer analytics tool that generates real-time consumer activity data. It does this by automatically creating comprehensive profiles, which helps businesses analyze client lifecycles. Granular customer travel data, such as web activity, messenger visits, device type, email activity, assistance desk, payments, support, and a plethora of other customer actions, can be obtained through centralized views. With the use of its adaptable reports, businesses may analyze consumer touchpoints and related results to demonstrate brand equity and promote product innovation. Furthermore, the Woopra platform facilitates the integration of business data and the dissemination of insights among multiple teams within an organization using third-party platforms like Mailchimp and Dropbox.


  1. One way to display consumer data that is rarely seen in equations is through three-dimensional models.
  2. Keep track of an endless amount of personalized activities automatically.
  3. Dynamic triggers could be created using information about user behavior.

4-Schedule accounts for advanced automated tasks like email list export, data syncing, adding and updating subscriptions, and more.

In order to achieve business objectives, the Woopra platform offers marketing and support teams a distinctive user experience through behavioral data analysis. Up to 500,000 activities per month are allowed without charge with the software, after which you will receive an upgrade invitation.

5. Amplitude


Amplitude is a $2 billion firm that is listed on the Nasdaq and is a pioneer in digital product intelligence. 26 Fortune 100 businesses utilize it, and G2 Product Analytics rates it first. Amplitude analysis’s main objective is to better understand customers’ behavior, personalities, and levels of engagement by identifying areas of friction and monitoring their travels. It analyzes results by learning more about conversions and improving customer retention through innovative product development. Customers can immediately purchase digital products through the site. By comprehending indicators that go beyond the obvious (page views and clicks), such as user attributes, frequently used features, high-value clients, user engagement, conversion, and so on, it enhances the value of digital investments.

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  1. Behavioral Cohorts to obtain a more precise user behavior image.
  2. Easy communication with external systems including mParticle, Google Play, Amazon, AppsFlyer, Apptimize, and iTunes.
  3. Data security and dependability are guaranteed by industry-leading data management and compliance standards.

4-Basis indicators are helpful for research, education, and forecasting.

  1. Using machine learning (ML) to predict results over time and estimate the likelihood that customers would accept, reject, and so forth.

Developers, retailers, and product managers ought to make use of this best digital product intelligence tool. The free version offers limitless user location tracking and data storage, and it tracks 10 million activities every month.

6. Indicative


A single, comprehensive view of the customer experience across all data sources and marketing channels is offered by the product analytics platform Indicative. You can attach to your existing data sources directly from your website or mobile app, storage/lake, or CDP thanks to the scalability of the architecture. Its unique multi-funnel technology predicts and visualizes which consumers are essential to obtaining new business, as well as pinpoints areas of friction for various client segments in order to increase retention. The software also tracks the customer journey from start to finish, taking into account common paths, mapping to comprehend customer behavior, funnels for customer movement within products, understanding customer failure points, and a host of other indicators that help improve products and boost customer satisfaction.


  1. Teams can monitor and exchange Key Performance Indicators (KPIs).
  2. A dashboard that is fully customized and has automatic updates.

3-A range of segmentations to examine consumer behavior.

4-Perform a group analysis in order to identify and permit recurring customer behavior.

The platform that is indicative, trusted by startups and businesses of all sizes, is most appropriate for product managers, merchants, and data analysts. The first three users can utilize the standard edition for free, which offers 25 million events a month.

7. Heap


Data analysis, data foundation, and data management are the three main parts of a heap. These three pillars help identify the target market for the product, break down user interactions, spot friction in the product that may be improved, encourage, activate, and sustain conversions, and spot early signs of changing consumer behavior. When new features or reductions are implemented, there is no need to change the code because the Heap automatically gathers all user interactions. The comprehensive data model includes elements such as behavioral groups, user segmentation, funnel analysis, retention analysis, and other tools that help create more valuable solutions that align with corporate objectives.


  1. Better tracking and analysis of data to monitor the whole client journey.
  2. You can define events using Event Viewer without having to modify raw data sets.
  3. Automatic data collection gathers client interactions rather than pre-selecting specific events to track.

4-Make personalized reports and quickly include them in the dashboard.

Heap is one of the easiest platforms for smaller and enterprise-level apps to start up without a technical team. This software can be employed for free for up to 10,000 sessions per month with an unlimited user license.

8. Countly


The best product analytics platform in the world, Countly helps measure innovation and track product performance to enhance customer experience and meet company goals. With more than 16,000 apps and more than 1.5 billion unique IDs recorded, its broad reach utilizes more than 2,000 servers worldwide. Its ground-breaking platform gathers click and app usage data in real-time from desktop, mobile, and online apps and displays the results to assess user behavior. Real-time statistics, including views, landing and departure pages, bounces, page time, heatmaps, and more, are tracked and predicted on the dashboard. To further improve the software’s performance and usability, a plethora of plugins pertaining to user profiles, advanced segmentation, behavior analysis, warnings, and other topics may be included.


  1. Segmenting buildings according to the needs of the business.
  2. It can be utilized in a private or business cloud setting.
  3. Making sure the data is accurate by using a checksum method.

4-The application’s productivity and health counter keeps track of errors and crashes.

While the Enterprise Edition comes with custom SLAs and paid plugins and may be hosted on-premises or in the cloud, the Community Edition is free to use but requires server hosting, which can be expensive.

9. Segment


The marketing and engineering teams utilize the Segment to collect data from many sources in order to comprehend the customer journey, develop innovative products, and monitor consumer behavior in order to achieve objectives. In order to build results-driven journeys like omnichannel messaging, ongoing engagement, and results-driven journeys, the unified dashboard compiles consumer touchpoints from all resources. Also check iPhone Unlocker Software

To target the right customers, create real-time behavioral campaigns and examine real-time data segments. One of the key responsibilities of the platform is to protect the privacy and security of user data. To this end, data encryption, domain identity management (SCIM), multi-factor authentication (MFA), and the finest secure protocols are used. Data collection can be supplied to more than 300 distinct real-time marketing solutions without causing any code issues.


  1. User events can be recorded using a basic analytics API from any website, application, or repository.
  2. Nearly any organizational team can be synchronized with the use of data sharing dictionaries.
  3. Evaluation of privacy in real time in compliance with laws like the CCPA and GDPR, among others.

4-Based on intent alerts derived from real-time customer behavior and real-time stress lists, client profiles can be divided into groups.

Industry certifications for the Segment platform include ISO 27001, 27017, SOC 2 Type 2, & others. For a brief period, the platform is free; but, with more than 300 connectors, it can only handle 1000 visits per month from two sources.

Final words: Product analytics software

The software for product analysis that was previously discussed performs optimally and gives superior results. Every tool, though, is unique and offers a unique collection of functions. Since no single tool can perform all tasks, it is essential to determine the specific conditions of the company or product as well as the business objectives before selecting the appropriate product analysis software.

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