7 Greatest Product Analytics Software program in 2025: My Overview

B2B enterprise homeowners rely not simply on viewers insights, but in addition on the response of consumers or different stakeholders who make the most of their merchandise to finish an motion.

Inside a B2B startup, it is the info that drives potential selections of builders, product managers, product specialists, and gross sales and advertising professionals.

As a part of the advertising staff of a budding B2B startup, I’ve been instantly concerned in iterations of merchandise primarily based on real-time shopper insights, ROI, and consumer engagement. It wasn’t with out struggles. Some main hurdles I skilled have been groups’ siloed operations, the absence of product analytics, and restricted consumer journey visibility. 

That’s the reason I made a decision to guage the very best product analytics instruments myself. These instruments provide you with insights into how customers work together along with your product, exhibit optimistic or adverse sentiment, and supply belief alerts.

This checklist would provide you with an entire analysis of the very best product analytics instruments in 2025, as noticed by G2. These instruments supply a unified view of shopper journey, product utilization metrics, and real-time consumer expertise particulars to optimize your digital functions.

7 greatest product analytics instruments I strongly suggest

Because the backend staff of a B2B product, your future scope of developmental adjustments and product upgrades will depend on what your prospects consider you. When you may be monitoring consumer engagement, buyer suggestions, or frequent occasions, your profit lies in monitoring real-time product ROI with superior dashboards and analytics, which is solved with a product analytics instrument.

Throughout my evaluation, I seen a transparent hole between the metrics that companies attempt to monitor and the patron market metrics that really matter. You have got your sequence of launch approvals or go-to-market launches, however the core subject lies in understanding the fundamentals: how your software actually works, and whether or not customers are really partaking with it.

What makes a product analytics instrument price it: my opinion

In line with me, step one in selecting a product analytics instrument is to take care of the established order along with your practical departments — like product, growth, engineering, and gross sales — and put an exhaustive checklist of consumer responses or suggestions that you’ve got to date.

Analyze the uncooked shopper information, phase it primarily based on demographics, and spot patterns of incessantly listed complaints or adverse responses that may aid you enhance your iteration processes. Whereas product analytics instruments present an intensive report of real-time consumer interplay with the product, there are a number of different issues to remember earlier than investing in a suitable answer.

In case you are critical about scaling your product and do not wish to threat your income, lose prospects, or make blind selections, listed here are six options you completely should demand from any product analytics software program you might be contemplating:

• Occasion-based consumer journey monitoring: I did not take into account instruments that solely supply primary web page views in your product; somewhat, I prioritized those that monitor each significant consumer motion, from button clicks to characteristic utilization, throughout all the buyer journey. With out this characteristic, you will not perceive which a part of your software is driving engagement or drop-offs. This degree of granularity means that you can transfer from guessing to realizing precisely what behaviours result in conversions, so you’ll be able to double down on what’s working and repair what’s not. 
• Cohort and segmentation evaluation: In case your analytics instrument cannot phase your cohorts into significant classes, like energy customers, churn dangers, or first week drop-offs, you will not be capable to scale your online business. I listed the options that supply superior segmentation, which helps you to personalize experiences and campaigns primarily based on actual consumer behaviour. This helps you goal the correct customers with the correct messages on the proper time, bettering each retention and income with much less advertising waste.
• Funnel visualization and drop-off evaluation: It’s good to see the place precisely your customers drop off in your key funnels, whether or not it’s between sign-up to activation or trial to paid. A instrument with out this functionality will go away you guessing what’s killing your conversion charges. That’s why I solely went for product analytics instruments that supply clear and actionable funnel breakdowns. With this readability, you’ll be able to prioritize fixes which have the most important income affect and switch leaks in your funnel into progress alternatives.
• Retention and stickiness stories: One-time customers or churned prospects wouldn’t develop your base, however retained and sticky customers will. I made certain that the platform helps you measure not simply who comes as soon as, however who retains coming again and what behaviours correlate with long-term retention. It helps you shift from acquisition to constructing lasting consumer habits, which is the place sustainable progress actually occurs.
• Actual-time insights and dashboards: I goal to spotlight the significance of not taking your buyer information evenly and regulating your pipeline conversions. On this sector, delayed information is wasted information. I seemed for real-time dashboards that replace reside so you may make quick and knowledgeable selections with out ready on engineering or weekly stories. This empowers your groups to react within the second, turning insights into actions whereas they nonetheless matter, and never weeks later when the chance is gone.

True to the intel above, product analytics instruments are additionally built-in with session replay software program, digital analytics software program, consumer analysis software program, and heatmap instruments to crack your purchaser alerts and seize that precise stage within the shopping for funnel that results in potential churn or drop-off.

Out of the 40+ product analytics instruments that I examined, I shortlisted the highest 7 that achieved the very best G2 scores and bigger reciprocation from the client market.

The checklist beneath comprises real critiques from the product analytics software program class web page. To be included on this class, a software program should:

• Monitor consumer interactions with a digital product, together with visits, utilization, occasions, and interactions.
• Present segmentation by demographics, preferences, and even gadget sort.
• Establish behavioral patterns and funnels to grasp how prospects movement by the product.
• Establish ache factors inside a product that will result in churn, or particular steps inside the buyer journey that want enchancment.
• Present dashboards and stories of visualized quantitative information.

*This information was pulled from G2 in 2025. Some critiques might have been edited for readability.  

1. Amplitude: Greatest for customized occasion monitoring and consumer segmentation

Amplitude is a digital analytics product that gives customers with customized insights about buyer experiences and interactions throughout completely different units. It’s designed to enhance effectivity and productiveness and prioritize conversions.

After I began, it actually stood out to me how simple it was to stand up and operating. I devoted my time to studying extra concerning the consumer expertise, like dragging occasions, constructing funnels, segmenting cohorts, and was just about self-sufficient by the top of it.

Not simply me, however even my advertising teammates discovered the UI to be extraordinarily user-friendly. There was no SQL or backend information wrangling. Simply clear, intuitive, level and click on analytics.

Amplitude thrives on event-based monitoring, which suggests each consumer motion, whether or not it is clicking a button, watching a video, or abandoning a cart, will get logged as an occasion. What’s nice is how one can slice and cube this information nonetheless you need. I discovered the Cohorts characteristic particularly good. It lets me group customers primarily based on behaviours like “customers who watched a product demo however did not join” and examine their engagement patterns towards different teams. 

What I additionally beloved about Amplitude is that it presents retention evaluation, which is a set of metrics that allow customers to grasp what makes a purchaser stick round or proceed their contract for the long run.

One other robust level? The dashboard and reporting system. It feels quick. I’ve not often confronted delays or annoying load instances, even when operating heavy queries on tens of millions of occasions. You possibly can construct customized dashboards to trace every thing, from every day energetic customers to conversion charges.

Because of the combination with the buyer information platform (CDP), it feels just like the insights by no means hit a useless finish. You possibly can sync your findings with instruments like Braze or Mixpanel for follow-up campaigns.

However there are a number of areas of enchancment to contemplate. For starters, Amplitude’s pricing scales primarily based in your information quantity. So, in case your staff will get trigger-happy with occasion monitoring, you’ll be able to unexpectedly go over the price range. 

Additionally, whereas the dashboards are nice, they seem to be a bit inflexible. You can’t tweak chart views instantly from the dashboard. It’s important to open every chart individually, make your adjustments, after which save them. It’s a small problem, however if you find yourself making an attempt to maneuver quick, it appears like a pace bump.

What’s extra, Amplitude closely will depend on the standard of your occasion tagging plan. In case your implementation staff would not outline occasions clearly or if in case you have inconsistent naming conventions (and, let’s face it, most of us do in some unspecified time in the future), your information rapidly turns into messy and irritating to work with. Many instances, you will end up wishing for smarter methods to reorganize or rename occasions with out having to re-engineer your complete information pipeline.

Additionally, Amplitude is event-focused, and generally, I want it might do a greater job surfacing user-centric insights — issues that transcend counts and timelines. A stronger consumer lens would make the instrument much more holistic. 

In relation to premium options, I explored the Amplitude Progress and Enterprise plans, and the distinction is noticeable. The premium plan unlocks a number of new options, like Notebooks, Governance Controls, and Predictive Analytics (which makes use of machine studying to forecast consumer behaviour).

Enterprise plans go even additional with customized role-based entry controls, information residency choices, and devoted assist. Truthfully, if you’re operating analytics throughout a number of groups or areas, these premium layers are price it. However if you’re simply beginning out, the free plan is greater than sufficient.

Total, Amplitude presents an agile digital analytics platform to trace product utilization, consumer behaviour, buyer retention, and churn to find out subsequent steps of the gross sales funnel and push your advertising outreach to transform higher.

What I dislike about Amplitude:

• Though Amplitude segments your analytics in a user-friendly method, I feel it’s a little bit of a problem for rookies, as it’s a bit sophisticated. 
• I noticed that Amplitude isn’t all the time intuitive about how numerous charts work. I typically seen customers falling again on segmentation and periods as a result of they do not perceive how the opposite sorts work.

What do G2 customers dislike about Amplitude:

“The inherent complexity of the reporting capabilities might show to be overwhelming at instances, that mentioned although, Amplitude has been making robust developments in organizing their reporting construction and offering a extra intuitive UI that enables the consumer to simply navigate thu pre-established reporting templates and nonetheless help you dig into the complicated stories if you’d like/must.”

– Amplitude Overview, Max E. S.

2. LogRocket: Greatest for session replays and bug monitoring

LogRocket combines session replay, product analytics, and consumer behaviour in a single dashboard that can assist you with a clearer view of consumer interactions and capitalize on successful conversions by modifying your new upgrades and releases.

What actually blew me away was how easy session replay feels inside LogRocket. You possibly can sit again and actually watch how your customers navigate your web site or app, click on by click on or scroll by scroll.

I might additionally see JavaScript errors in actual time, examine community requests, and view console logs proper alongside consumer periods. This degree of developer tooling integration makes debugging much less cumbersome and extra helpful for shopper issues.

One in every of my favourite options is error monitoring with stack traces. When a consumer hits a bug, they will rewind the session to see what precisely led as much as it, together with technical context. This has been a lifesaver when collaborating with my engineering staff. 

LogRocket would not simply cease at session replays both. It integrates neatly with Redux state administration, which is large if you’re coping with complicated React functions like I do. Seeing state adjustments body by body within the session playback provides a lot readability when tracing points which can be in any other case unattainable to breed.

I additionally appreciated the heatmaps and consumer movement visualizations, which helped me perceive drop-off factors and excessive engagement zones on our pages. It’s satisfying to have each qualitative and quantitative information on one platform. 

LogRocket’s efficiency monitoring characteristic? An enormous bonus! You get insights on web page load instances, sluggish API responses, and useful resource bottlenecks while not having a separate efficiency monitoring suite.

That mentioned, not every thing is gold. Premium options like superior filtering, staff collaboration options, and long-term information retention are hidden behind a paywall. I seen that whereas the free model presents primary choices, premium options additionally unlock superior integrations with Jira, Slack, and Sentry, making it simpler to push buyer case information into numerous workflows. 

One other factor that will get underneath my pores and skin a bit is that session recordings often fail to seize sure occasions, particularly on mobiles, on single-page functions. It’s inconsistent sufficient to be annoying once you depend on it to catch every thing.

Whereas session replays are insightful, they don’t scale properly. Watching a whole bunch of periods to establish developments simply is not sensible with out leveraging the analytics dashboards, which are not as intuitive as I would like them to be.

The platform can generally really feel sluggish, particularly when loading giant periods or filtering by intensive logs. Plus, I want historic information retention have been out there on low-tier plans. Proper now, it appears like a little bit of a paywall if you wish to entry older session information.  

One other small gripe is the shortage of offline or downloadable session information, which is tremendous useful for audit periods or sharing periods with folks exterior your platform.

Nonetheless, LogRocket screens occasion monitoring, web site monitoring, session replays, and different product analytics metrics to guage consumer engagement and interactions and reveal buyer developments and conversion potentialities. 

What I dislike about LogRocket:

• Whereas the session replay software program makes you conscious of how customers work together, it takes a while to make the LogRocket periods dependable. 
• I noticed that some periods will not be captured. The platform’s information could be complicated or overwhelming.

What do G2 customers dislike about LogRocket:

“The primary subject we’ve got is that the info isn’t archiving/being accessible after a month. This does damage us when we have to benchmark information and monitor points. It might be useful if we might entry consumer periods even 6 months again. I additionally want there was some type of LogRocket academy hub or coaching accessible to customers as a substitute of only a library of documentation, which could be dense to learn by.”

– LogRocket Overview, Ashley Okay.

3. Pendo: Greatest for product utilization insights 

Pendo gives real-time consumer insights and product utilization metrics to ship the very best software program experiences and optimize the productiveness of your staff and shoppers. With Pendo’s in-app dashboard, you’ll be able to drive leads, enhance calling, generate surveys, and do much more to drive satisfaction.

The very first thing that struck me about Pendo was how simple it was to get began. Organising in-app guides and walkthroughs felt nearly easy. I did not must loop in engineering for each little replace, which made our onboarding course of a lot smoother. 

One in every of my favourite issues about utilizing Pendo is granular buyer segmentation. I can filter right down to a single buyer account, pull their utilization information, and perceive precisely how they’re interacting with our product. Exporting this information is easy, and I really like the way it integrates with different instruments we use throughout our tech stack.

Pendo’s in-app messaging capabilities deserve a shout-out. Whether or not it is tooltips, walkthroughs, or quick-start guides, I can push content material instantly into the product expertise. This has been tremendous efficient for rolling out new options or serving to customers get unstuck with out leaving the app. 

On the analytics aspect, Pendo provides me visibility into consumer behaviour that I actually did not suppose was attainable with out complicated BI instruments. I can see adoption developments, monitor utilization patterns, and even accumulate consumer suggestions, all inside one platform. It makes my job simpler and helps my staff make smarter selections.

Nonetheless, Pendo is not excellent. There have been instances when the suggestions dashboard did not load appropriately, forcing me to navigate by different menus simply to search out what I used to be searching for. And whereas the product delivers a ton of worth, the price ticket could be fairly steep, particularly if you’re seeking to unlock its premium analytics and reporting options. 

Among the most superior capabilities, like API entry and enterprise-level information visualizations, are gated behind high-tier plans, which could not be accessible for smaller groups.

I’ve additionally encountered a number of minor bugs right here and there, nothing that broke our workflows, however sufficient to note. Whereas Pendo is mostly simple to make use of, we did face some challenges by way of accessibility that required back-and-forth with their assist staff. 

However, that being mentioned, Pendo offered buyer segmentation capabilities, in-app guides for consumer retention, and software program adoption information to enhance the client expertise in your prospects.

What I dislike about Pendo:

• Though Pendo can vastly enhance the end-user expertise primarily based on buyer responses, its export choices could be restricted, making it troublesome to retrieve survey responses in a format appropriate for detailed exterior evaluation.
• I seen that for some motive, the preview generally would not replicate the adjustments made to the storyboard.

What do G2 customers dislike about Pendo:

“It takes slightly little bit of trial and error to make use of properly. The data base is fairly good, however as with all instruments, it may be outdated.”

– Pendo Overview, Trina S.

4. Glassbox: Greatest for entry/exit web page evaluation and occasion replay

Glassbox is a buyer intelligence answer which consolidates survey responses, buyer suggestions and location-wise information into your product analytics window. It additionally gives information concerning drop offs, engagement and digital interactions for companies. 

I’ve been exploring Glassbox for some time, and actually, it has been a little bit of a sport changer relating to understanding buyer behaviour and consumer insights.

What I completely love about this instrument is the session replay performance. It is like having a front-row seat to each buyer journey on our web site. I can see precisely the place customers transfer their mouse, the place they click on, and even the place they get caught. This characteristic has been invaluable for optimizing consumer expertise.

One other banger is the heatmaps. It permits me to visualize consumer engagement at scale. I can immediately spot which parts on our pages entice probably the most consideration and which of them are being ignored. This has helped our design and product groups prioritize adjustments that actually matter.

What I even respect extra is how simple it’s to navigate Glassbox. Whether or not I’m establishing filters to phase periods by gadget sort, buyer journey stage, or geography, every thing feels intuitive. The capacity to look and filter periods by consumer actions like “kind submissions” or “error messages” has saved me hours. I not must manually sift by countless information because the instrument brings probably the most related periods proper to my fingertips.

I’ve used each the usual and premium plans of Glassbox, and I have to say the soar to premium was properly price it. The premium tier unlocked AI-powered analytics that offered predictive insights about consumer drop-offs and churn dangers. It additionally gave me entry to cross-channel session stitching, permitting me to see a unified view of a buyer’s journey throughout internet and cell apps, one thing that’s been essential for our omnichannel technique.

In fact, GlassBox does have its justifiable share of limitations. One of many greatest challenges I confronted was the educational curve. Whereas the instrument is highly effective, it could possibly really feel overwhelming at first, particularly with out satisfactory coaching. Many customers, together with myself, felt that there must be extra structured onboarding and coaching sources. I needed to spend fairly a while experimenting earlier than I felt assured in leveraging all of the options.

I additionally felt that report customization wants a little bit of enchancment. Though the analytics are wealthy, creating customized stories with hooked up session replays felt a bit clunky. I typically want there have been extra versatile reporting templates or drag-and-drop performance to simplify this course of.

I’ve seen that real-time session playback can lag, particularly when coping with high-traffic durations or periods with loads of information factors. This generally disrupts the movement of my evaluation, forcing me to refresh or watch for the session to load totally.

A number of customers additionally talked about a lack of proactive alerting options. Whereas Glassbox presents some alerts, they aren’t all the time as context-aware or actionable as one would possibly anticipate. I personally would like to see extra AI-driven alerts that inform me precisely what wants my quick consideration, somewhat than simply flagging generic anomalies.

Lastly, whereas the premium options are improbable, they do come at a better value level, which could not be justifiable for smaller groups or companies simply beginning out. The subscription tiers may benefit from extra versatile pricing or characteristic bundling to make the superior capabilities accessible to a broader viewers.

All in all, GlassBox is a dependable and agile product analytics instrument that gives occasion monitoring, consumer engagement metrics, and session replay for cross-platform units. It’s AI-powered reporting services analyze the best-performing elements of your digital software and double down on what’s working.

What I dislike about GlassBox:

• Regardless that GlassBox gives clear insights on how your product seems to customers, the UI might have been a bit higher and extra partaking.
• I seen that, at the moment, customers can solely look again on the final 30 days’ data. It makes historic information monitoring troublesome.

What do G2 customers dislike about GlassBox:

“Information accuracy is all the time the most important matter when discussing Glassbox. I do know that periods are sampled, however generally questions on reliability would possibly happen, particularly when the delta between GA periods and glassbox periods turns into very excessive. Additionally, within the interplay maps part, generally the web page loaded has empty slots, and it’s kind of tougher to grasp what’s behind.”

– GlassBox Overview, Antonio D. 

5. Fullstory: Greatest for visible session playback and error insights 

Fullstory is a behavioural analytics instrument that product or digital advertising groups can make the most of to perceive their buyer necessities and responses higher. From real-time product optimization highlights to personalization of shopper metrics, Fullstory faucets into actual world buyer information metrics to scale your lead era.

What actually impressed me was the session replay characteristic. Think about with the ability to replay a consumer’s journey from begin to end. Each faucet, click on, and each rage click on (you understand, when customers furiously click on one thing anticipating it to work). Fullstory would not simply present you the replay; it tags these rage clicks, useless clicks, and error clicks so you’ll be able to repair what’s damaged earlier than it prices you your conversions.

I’ve used the deep funnel evaluation instruments to trace drop-offs in our checkout workflow, and with the ability to filter periods by these behaviours saved us hours of guesswork.

The occasion monitoring is subsequent degree. It captures each DOM occasion while not having engineering to arrange handbook monitoring factors. This implies if tomorrow I wish to understand how many individuals click on a random button buried deep within the website, Fullstory already has that information ready for me.

I additionally love their search and segmentation capabilities. If that you must pull up all periods the place somebody skilled a JavaScript error, Fullstory can do it.

If you wish to construct a phase of customers who deserted their carts after getting into their transport data, Fullstory gives the house for it. The search syntax can get fairly granular, and whereas that takes a little bit of studying, when you get it, you are feeling unstoppable.

Now, talking of studying, I will not say it is not one thing to be conscious of. There’s a studying curve with the instrument. After I first jumped in, I used to be overwhelmed by the huge quantity of information out there. However when you get the hold of it, it appears like unlocking cheat codes for consumer insights.

One factor price mentioning is the interface. Whereas highly effective, it could possibly really feel a bit clunky at instances, particularly when managing notes or when making an attempt to leap again to a particular session.  I’ve personally struggled with looking throughout a number of tasks or umbrellas, as they name it, which makes multi-domain administration a bit trickier than it must be. 

Truthfully, I want Fullstory had a Chrome extension that allowed customers to maintain a snapshot of their internet utilization insights and product analytics from a centralized browser..

One other factor that worries me is information retention limits. Fullstory shops information just for a sure time period except you pay extra for prolonged storage. This may be irritating if you find yourself making an attempt to match consumer behaviour over longer cycles.

Talking of pricing, this isn’t precisely a price range instrument. Relying on the subscription tier, from the free plan to their extra premium enterprise packages, you get entry to completely different ranges of session historical past, integration capabilities, and staff collaboration options.

I’ve labored with each the Enterprise and Enterprise tiers, and actually, the distinction in information retention and integration choices (like with Salesforce, Slack, and Jira) actually pays off when your staff will depend on cross-functional workflows.

Having mentioned that, there are some options that I completely love, like privateness and compliance. It presents instruments to routinely masks private identifiable info (PII) to assist keep GDPR compliant, which provides me peace of thoughts when coping with delicate buyer information. 

In brief, Fullstory is a dependable and agile behaviour analytics instrument that helps you hint dropoffs, monitor occasions and periods, and double down on buyer satisfaction with superior monitoring.

What I dislike about Fullstory:

• Whereas Fullstory presents insights into each stage of the product funnel, it’s a bit troublesome for groups to degree up past the introductory degree.
• I noticed that there appears to be loads of complexity in arranging workflows. Groups wish to see a listing of all current interactions and examine them.  

What do G2 customers dislike about Fullstory:

“The trail of making helpful metrics is slightly complicated in order that if you happen to’re undecided what you are searching for at first, it is arduous to inform if you happen to’re pulling in the correct metrics.”

– Fullstory Overview, Beth D.

6. PostHog: Greatest for open supply product evaluation and funnels

PostHog is an engineering and product analytics instrument that helps groups seize buyer insights, construct higher software program lifecycles, seize occasions, and monitor buyer engagement through shopper analytics.

After I first began exploring PostHog, I actually did not anticipate it to be this versatile. What blew me away proper off the bat was the way it bundles a number of important product operations right into a single unified platform.

From product analytics to session replays to characteristic flags and information pipelines, it felt as if I had landed on a goldmine that did not require stitching collectively a bunch of various providers. The setup expertise was surprisingly clean. It may be built-in into the React software in underneath 10 minutes, which is a dream in comparison with the opposite analytics instruments that take longer.

One characteristic I genuinely beloved, and would possibly sound a bit geeky, is the session replay functionality. Watching actual consumer periods helped my staff spot buyer friction factors nearly immediately. You possibly can reduce down on churn simply by seeing the place the customers get caught. It is like having a direct window into consumer behaviour, which is priceless for a product staff. I additionally discovered their display recording characteristic to be equally spectacular and helpful.

Posthog’s detailed funnel and path analytics are worthwhile, too. You should utilize it extensively to trace consumer flows in our onboarding course of. The insights we acquired have been fairly superior, and even on the free model, it felt like PostHog supplied insightful metrics, which often are accessed with enterprise plans.

I additionally appreciated how they assist self-hosting, which provides us extra management over our information, one thing that is more and more necessary in at present’s privacy-conscious world.

 Nonetheless, there have been some downsides to the platform. The dashboard, whereas highly effective, can really feel a bit overwhelming, particularly for non-technical people. I seen my much less savvy teammates struggling to determine what metrics to trace and the way to set issues up correctly. 

The UX felt slightly clunky in locations, making the educational curve steeper than I would like. As an illustration, once you add your Postgres database to the info pipeline, it could not instantly determine the way to make the most of that information. It took some trial and error, and actually, it felt as if it might have been a bit extra intuitive.

I additionally want there have been clearer steerage on in-app verification to verify if we had configured issues appropriately. One other hole I seen was round OpenFeature assist. There’s a point out of open-source integration, however I could not discover clear info on whether or not PostHog gives it or not.

In relation to pricing, PostHog does an excellent job of scaling prices primarily based on utilization, which felt honest. Nonetheless, when you begin exploring premium options, like superior consumer cohorts, granular entry management, or increased session replay limits, you’ll doubtless want to maneuver to one in every of their paid plans.

PostHog presents a number of tiers, however like most SaaS merchandise, the main points round what’s included at every degree might be a bit clearer. I’d suggest getting in contact with their gross sales staff if you happen to’re contemplating scaling past the free tier.

Total PostHog presents granular buyer insights, engineering assist, and occasion monitoring to consolidate consumer actions into real-time product metrics and enhance your adoption seamlessly.

What I dislike about PostHog:

• Whereas PostHog presents a seamless consumer expertise and tracks analytics simply, the documentation may be arduous to comply with and old-fashioned.
• I seen that among the most superior options have a little bit of a studying curve, particularly for people who find themselves new to information evaluation.

What do G2 customers dislike about PostHog:

“It may be a bit overwhelming at first as a result of it presents loads of options, akin to session replay and occasion flags. You’ll want a while to grasp how every thing works and what every characteristic does.”

– PostHog Overview, Muzammil Okay.

7. Userpilot: Greatest for in-app steerage and product-based messaging 

Userpilot is an all-in-one platform that gives session replays, engagement metrics, funnels, in-app surveys, and customer support to extend your product adoption. These metrics allow you to visualise your shopper workflows and construct higher shopper engagement and pipeline.

Userpilot positions itself as a no-code product adoption platform, and for probably the most half, it lives as much as that promise. 

What I instantly beloved was how ridiculously quick I might arrange in-app experiences with out involving our dev staff. The movement builder is intuitive — drag and drop easy. It’s simple to construct customized onboarding workflows and power ideas in minutes.

One in every of my favourite options is the useful resource middle, which acts as an in-app hub the place our customers can self-serve info, entry tutorials, and even chat with our assist staff, all with out leaving the platform.

Userpilot additionally shines relating to behavioral analytics and consumer insights. The viewers focusing on is laser-focused. I might set off experiences primarily based on consumer attributes, behaviour, or occasions tracked by the native integrations with instruments like Phase, MixPanel, and Amplitude.

This made our engagement campaigns really feel tremendous contextual and well timed. Plus, their heatmaps and session replays gave me a crystal-clear image of how customers navigate our app, which made movement optimization nearly easy.

Now, let’s focus on the cons. Userpilot’s movement administration and useful resource middle scaling began to really feel a bit clunky because the setup grew. It is easy to handle when you may have a handful of experiences, however because the library expands, organizing and finding particular information turns into time-consuming.

Additionally, some customers on my staff seen a lag between expertise steps, which, though minor, can disrupt the fluidity of an onboarding journey.

As for the pricing, Userpilot isn’t precisely low cost. As soon as you progress previous their primary Starter plan, which is fairly restricted by way of characteristic depth and month-to-month energetic consumer (MAU) limits, you rapidly end up their Progress and Enterprise plans.

These plans unlock premium options like superior segmentation, multi-language assist, customized occasion monitoring, and devoted buyer success administration. Whereas these options are highly effective, the worth soar feels steep, particularly for smaller groups or startups.

Total, consumer pilot is an important cog in your product analytics technique. It presents real-time engagement metrics, heatmaps, in-app service, and session replays to gauge your funnels and analyze drop-offs to enhance the top consumer expertise.

What I dislike about Userpilot:

• Whereas Userpilot gives analytics to create nice UX, some superior options (like event-based triggers) require a little bit of studying and experimentation.
• Whereas the platform is highly effective, analytics might be a bit extra sturdy. The staff would have beloved deeper insights into consumer interactions to refine the expertise.

What do G2 customers dislike about Userpilot:

“It is not a dislike, however implementing a number of sure features and roles nonetheless requires dev involvement, which could be difficult if you do not have the technical abilities or have devs simply out there to help you. It will depend on your service/web site, so this won’t apply to everybody.”

– Userpilot Overview, Ivan S.

Greatest Product analytics software program: Incessantly requested questions (FAQs)

1. What are the very best instruments for product analytics?

The most effective product analytics instruments embody MixPanel, Amplitude, and Heap. They provide superior occasion monitoring, consumer journey evaluation, and scalable information infrastructure.

2. Is Tableau a product analytics instrument?

No, Tableau is a enterprise intelligence (BI) and information visualization instrument. Whereas it could possibly visualize product information, it lacks built-in occasion monitoring, consumer journey mapping, and behavioural analytics that different specialised product analytics instruments present.

3. Is Google Analytics good for product analytics?

It relies upon. Google Analytics could be nice for understanding internet and app visitors patterns, consumer acquisition, and engagement metrics. Nonetheless, relating to deeper product analytics, a devoted instrument like Mixpanel or Amplitude works higher..

4. How do your product analytics instruments deal with multi-touch attribution throughout internet, cell, and offline channels?

Product analytics instruments present occasion monitoring for shoppers unfold throughout completely different channels, identification decision, and cross gadget stitching to supply correct multi-touch attribution. These metrics are consolidated on one single dashboard which tells you about your app efficiency throughout completely different units and channels.

5. Can a product analytics instrument scale with enterprise-level information ingestion volumes and assist real-time analytics?

Sure, our structure is constructed on distributed computing with auto-scaling information pipelines. We provide real-time information processing with sub-second latency, making it best for enterprise-scale consumer exercise monitoring and evaluation.

6. How does product analytics software program guarantee compliance with GDPR, CCPA, and different information privateness laws?

Product analytics software program abides by native, state, and federal legal guidelines and presents an end-to-end information safety framework to align itself with GDPR, CCPA, HIPAA, and different privateness laws. It additionally presents consent-level frameworks, data-regulation APIs, and region-specific information storage.

7. What integration choices can be found with CRM, CDP, and information warehouse programs?

Product analytics instruments supply out-of-the-box integrations with main CRMs, CDPs, and different information warehouses through REST APIs, webhook automation, and reverse ETL. This permits seamless bi-directional workflow, which powers buyer information engagement.

Buyer engagement = conversions 

Throughout my evaluation, I delved into the complexities of product analytics instruments to study which firm segments, primarily based on their present information pipelines, software program growth lifecycle, and buyer behaviours, will excavate the utmost ROI out of those instruments to interact and convert higher.

Earlier than deciding on the best product analytics instrument, draw a transparent roadmap of shopper necessities, developer bandwidth, community compatibility, and upcoming product variations or releases, which offers you a pleasant foreground to map your buyer advertising, engagement, and conversion potentialities.

Take a look at my colleague’s current evaluation of e mail advertising instruments and real-time consumer critiques by G2 specialists to assist rating higher offers with e mail advertising campaigns in 2025.