Product Analytics Software Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Product Analytics Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.

Contents

Product Analytics Software Articles

G2 Launches New Attribute for Its Heatmap Tools Category

In this growing competitive digital world, where companies compete for user attention and time, tracking website traffic is essential for businesses to collect the necessary data to understand how visitors interact with their websites. Capturing how potential customers navigate a website has been an integral part of heatmap tools. These tools are important for usability testing to optimize websites and engage visitors.

by Alanna Iwuh

Product Analytics Software Glossary Terms

User Segmentation

User segmentation is the action of separating different users into specific groups, or segments, based on common characteristics.

by Victoria Blackwell

Product Critique

A product critique is a detailed evaluation of a product’s usability and design. Learn what’s involved, why to conduct one, and the best practices.

by Kelly Fiorini

Click-through Rate

Click-through rate measures the percentage of users who see a call to action button and click on it. Learn how you can improve a site's click-through rate.

by Holly Landis

In-app Notifications

In-app notifications are messages that pop up when opening an application. They increase app usage, retention, and lifetime value. Discover how.

by Sagar Joshi

Product Analytics Software Discussions

Question on: Pendo

Which integrations does Pendo support?

Integrations

Hi there! My name is Stephanie and I'm a research analyst in marketing & advertising at G2. Thanks for posting this question. As of November 2019, Pendo is able to integrate with a variety of different tools that may be in a user's tech stack, including data software like Domo, Slack, and Salesforce; live chats like Drift and Intercom; product tools such as Confluence and Fullstory; user feedback solutions Truthlab, Unbird, and UserVoice; as well as a number of knowledge bases. Pendo lists all their integrations on their website here: https://www.pendo.io/integrations. Thanks again for your question, and hope this helps. -Stephanie

Answered: Stephanie Graham on November 1, 2019

https://www.pendo.io/integrations/

Answered: Yasmin Martin on April 16, 2020

See more answers (1)

Your answer

Is Fullstory worth using alongside a product analytics tool or does it end up being redundant once you have solid funnel and event tracking in place?

The session replay overlap question is what I’m exploring here: is Fullstory worth using alongside a product analytics tool, or does it end up being redundant once a team has solid funnel and event tracking in place?

The split seems practical. Fullstory may still be worth it when teams need to query and analyze session behavior at scale, not just watch individual recordings.

It may feel redundant when native replay already gives enough context inside the analytics workflow. LogRocket overlaps heavily because replay is paired with performance, network, and error context. PostHog connects replay directly to events and funnels. Amplitude Analytics makes replay useful for debugging funnel drop-offs inside the same workflow.

I’d be especially interested in how teams kept reporting usable during migration, and what became hardest to trust first.

Not redundant, they answer different questions, and blurring them is how teams underuse both. Funnels and events tell you what happened and where people drop. Session replay tells you why, the rage-click, the confusing button, the thing no dashboard surfaces. The redundancy only becomes real if you buy the replay tool and nobody ever watches the sessions. Do you currently have the "what" but keep guessing at the "why"? If so it earns its seat.

Answered: Hasitha Varre on July 18, 2026

Your answer

Mixpanel vs Amplitude vs Pendo for a growth-stage SaaS team deciding which product analytics platform to standardize on before they scale?

For a comparison piece, I’m framing Mixpanel vs Amplitude vs Pendo for a growth-stage SaaS team deciding which product analytics platform to standardize on before they scale as a prioritization question, not a straight feature race.

In product analytics, the split looks like this:

Choose Amplitude Analytics if the priority is deeper behavioral analysis, structured events, and AI-assisted investigation. It works best when the team can maintain good event hygiene.
Choose Mixpanel if speed and self-serve reporting matter most. It is useful for fast funnel and retention answers without SQL.
Choose Pendo if analytics need to connect with in-app guidance, feature adoption, NPS, and customer success workflows.

My shorthand: Amplitude for depth, Mixpanel for speed, Pendo for adoption and cross-functional visibility. I’d like to know what usually breaks the tie before standardization.

These three aren't really the same shape, which is what makes the head-to-head awkward. Mixpanel and Amplitude are deep behavioral analytics, Pendo bundles lighter analytics with in-app guides and onboarding. So the fork is whether you want the strongest read on behavior, or you also want to act inside the product with walkthroughs without shipping code. Pure analytics, it comes down to how deep you need to go. If in-app guidance matters, Pendo pulls ahead. What's the actual job you're standardizing around?