7 Finest Product Analytics Software program in 2025: My Evaluation

B2B enterprise house owners 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 choices of builders, product managers, product specialists, and gross sales and advertising professionals.

As a part of the advertising workforce of a budding B2B startup, I’ve been immediately 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 had been groups’ siloed operations, the absence of product analytics, and restricted consumer journey visibility. 

That’s the reason I made a decision to judge the perfect product analytics instruments myself. These instruments offer you insights into how customers work together together with your product, exhibit constructive or unfavorable sentiment, and supply belief indicators.

This record would offer you a whole analysis of the perfect product analytics instruments in 2025, as noticed by G2. These instruments provide a unified view of shopper journey, product utilization metrics, and real-time consumer expertise particulars to optimize your digital purposes.

7 greatest product analytics instruments I strongly suggest

Because the backend workforce of a B2B product, your future scope of developmental adjustments and product upgrades depends upon what your clients 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 device.

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

What makes a product analytics device value it: my opinion

In line with me, step one in selecting a product analytics device is to take care of the established order together with your useful departments — like product, growth, engineering, and gross sales — and put an exhaustive record of consumer responses or suggestions that you’ve got up to now.

Analyze the uncooked shopper knowledge, phase it primarily based on demographics, and spot patterns of incessantly listed complaints or unfavorable responses that may assist you to 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 bear in mind earlier than investing in a suitable resolution.

If you’re critical about scaling your product and do not wish to danger your income, lose clients, or make blind choices, listed below 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 contemplate instruments that solely provide primary web page views in your product; slightly, I prioritized those that monitor each significant consumer motion, from button clicks to characteristic utilization, throughout the complete 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 device 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 corporation. 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 suitable customers with the suitable 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 device with out this functionality will depart 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 largest income affect and switch leaks in your funnel into progress alternatives.
• Retention and stickiness experiences: One-time customers or churned clients 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 intention to spotlight the significance of not taking your buyer knowledge calmly and regulating your pipeline conversions. On this sector, delayed knowledge is wasted knowledge. I seemed for real-time dashboards that replace reside so you may make quick and knowledgeable choices with out ready on engineering or weekly experiences. 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 indicators and seize that actual 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 best G2 scores and bigger reciprocation from the client market.

The record beneath comprises real evaluations 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 system kind.
• Establish behavioral patterns and funnels to know how clients move by the product.
• Establish ache factors inside a product which will result in churn, or particular steps throughout the buyer journey that want enchancment.
• Present dashboards and experiences of visualized quantitative knowledge.

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

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

Once I began, it actually stood out to me how simple it was to rise up and operating. I devoted my time to studying extra in regards to 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 knowledge 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 knowledge nevertheless you need. I discovered the Cohorts characteristic particularly sensible. It lets me group customers primarily based on behaviours like “customers who watched a product demo however did not enroll” and examine their engagement patterns towards different teams. 

What I additionally liked about Amplitude is that it gives retention evaluation, which is a set of metrics that allow customers to know 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 thousands and thousands of occasions. You may construct customized dashboards to trace every little thing, from each day lively customers to conversion charges.

Because of the combination with the buyer knowledge platform (CDP), it feels just like the insights by no means hit a useless finish. You may 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 knowledge quantity. So, in case your workforce will get trigger-happy with occasion monitoring, you’ll be able to unexpectedly go over the funds. 

Additionally, whereas the dashboards are nice, they seem to be a bit inflexible. You can not tweak chart views immediately from the dashboard. It’s a must to open every chart individually, make your adjustments, after which save them. It’s a small problem, however when you find yourself attempting to maneuver quick, it looks like a pace bump.

What’s extra, Amplitude closely depends upon the standard of your occasion tagging plan. In case your implementation workforce would not outline occasions clearly or when you have inconsistent naming conventions (and, let’s face it, most of us do sooner or later), your knowledge shortly turns into messy and irritating to work with. Many instances, you may end up wishing for smarter methods to reorganize or rename occasions with out having to re-engineer your total knowledge 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 device 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, knowledge residency choices, and devoted help. Truthfully, in case you are operating analytics throughout a number of groups or areas, these premium layers are value it. However in case you are simply beginning out, the free plan is greater than sufficient.

General, Amplitude gives 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 approach, I believe it’s a little bit of a problem for rookies, as it’s a bit sophisticated. 
• I noticed that Amplitude just isn’t at all times intuitive about how varied charts work. I usually seen customers falling again on segmentation and classes 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 stated although, Amplitude has been making robust developments in organizing their reporting construction and offering a extra intuitive UI that permits the consumer to simply navigate thu pre-established reporting templates and nonetheless let you dig into the advanced experiences if you need/must.”

– Amplitude Evaluation, Max E. S.

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 profitable conversions by modifying your new upgrades and releases.

What actually blew me away was how easy session replay feels inside LogRocket. You may 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 classes. This degree of developer tooling integration makes debugging much less cumbersome and extra helpful for shopper issues.

One in all 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 workforce. 

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

I additionally appreciated the heatmaps and consumer move visualizations, which helped me perceive drop-off factors and excessive engagement zones on our pages. It’s satisfying to have each qualitative and quantitative knowledge 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 stated, not every little thing is gold. Premium options like superior filtering, workforce collaboration options, and long-term knowledge retention are hidden behind a paywall. I seen that whereas the free model gives primary choices, premium options additionally unlock superior integrations with Jira, Slack, and Sentry, making it simpler to push buyer case knowledge into varied workflows. 

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

Whereas session replays are insightful, they don’t scale effectively. Watching lots of of classes to establish traits simply is not sensible with out leveraging the analytics dashboards, which are not as intuitive as I might like them to be.

The platform can generally really feel sluggish, particularly when loading massive classes or filtering by intensive logs. Plus, I want historic knowledge retention had been obtainable on low-tier plans. Proper now, it looks like a little bit of a paywall if you wish to entry older session knowledge.  

One other small gripe is the shortage of offline or downloadable session knowledge, which is tremendous useful for audit classes or sharing classes with individuals outdoors your platform.

Nonetheless, LogRocket displays occasion monitoring, web site monitoring, session replays, and different product analytics metrics to judge consumer engagement and interactions and reveal buyer traits and conversion prospects. 

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 classes dependable. 
• I noticed that some classes will not be captured. The platform’s knowledge could be complicated or overwhelming.

What do G2 customers dislike about LogRocket:

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

– LogRocket Evaluation, Ashley Ok.

Pendo gives real-time consumer insights and product utilization metrics to ship the perfect software program experiences and optimize the productiveness of your workforce and purchasers. 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. Establishing in-app guides and walkthroughs felt virtually easy. I did not must loop in engineering for each little replace, which made our onboarding course of a lot smoother. 

One in all my favourite issues about utilizing Pendo is granular buyer segmentation. I can filter right down to a single buyer account, pull their utilization knowledge, and perceive precisely how they’re interacting with our product. Exporting this knowledge is easy, and I 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 immediately 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 truthfully did not assume was attainable with out advanced BI instruments. I can see adoption traits, monitor utilization patterns, and even gather consumer suggestions, all inside one platform. It makes my job simpler and helps my workforce make smarter choices.

Nevertheless, Pendo is not good. 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 in case you are seeking to unlock its premium analytics and reporting options. 

Among the most superior capabilities, like API entry and enterprise-level knowledge 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 usually simple to make use of, we did face some challenges when it comes to accessibility that required back-and-forth with their help workforce. 

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

What I dislike about Pendo:

• Though Pendo can drastically 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 purpose, the preview generally would not replicate the adjustments made to the storyboard.

What do G2 customers dislike about Pendo:

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

– Pendo Evaluation, Trina S.

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

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

What I completely love about this device 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 appeal to probably the most consideration and which of them are being ignored. This has helped our design and product groups prioritize adjustments that really matter.

What I even admire extra is how simple it’s to navigate Glassbox. Whether or not I’m organising filters to phase classes by system kind, buyer journey stage, or geography, every little thing feels intuitive. The capability to look and filter classes by consumer actions like “kind submissions” or “error messages” has saved me hours. I now not must manually sift by countless knowledge because the device brings probably the most related classes proper to my fingertips.

I’ve used each the usual and premium plans of Glassbox, and I need to say the leap to premium was effectively value 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 net and cell apps, one thing that’s been essential for our omnichannel technique.

After all, GlassBox does have its fair proportion of limitations. One of many greatest challenges I confronted was the educational curve. Whereas the device is highly effective, it could really feel overwhelming at first, particularly with out ample 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 experiences with connected session replays felt a bit clunky. I usually 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 intervals or classes with lots of knowledge factors. This generally disrupts the move 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 gives some alerts, they aren’t at all times 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 speedy consideration, slightly than simply flagging generic anomalies.

Lastly, whereas the premium options are implausible, they do come at the next 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 device 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 participating.
• I seen that, at present, customers can solely look again on the final 30 days’ information. It makes historic knowledge monitoring troublesome.

What do G2 customers dislike about GlassBox:

“Knowledge accuracy is at all times the largest subject when discussing Glassbox. I do know that classes are sampled, however generally questions on reliability would possibly happen, particularly when the delta between GA classes and glassbox classes turns into very excessive. Additionally, within the interplay maps part, generally the web page loaded has empty slots, and it’s kind of more durable to know what’s behind.”

– GlassBox Evaluation, Antonio D. 

Fullstory is a behavioural analytics device 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 knowledge metrics to scale your lead technology.

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 already know, 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 classes 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 web site, Fullstory already has that knowledge ready for me.

I additionally love their search and segmentation capabilities. If you have to pull up all classes 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 information, Fullstory gives the area 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 isn’t one thing to be conscious of. There’s a studying curve with the device. Once I first jumped in, I used to be overwhelmed by the huge quantity of knowledge obtainable. However when you get the dangle of it, it looks like unlocking cheat codes for consumer insights.

One factor value mentioning is the interface. Whereas highly effective, it could really feel a bit clunky at instances, particularly when managing notes or when attempting to leap again to a selected session.  I’ve personally struggled with looking out throughout a number of initiatives 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 net utilization insights and product analytics from a centralized browser..

One other factor that worries me is knowledge retention limits. Fullstory shops knowledge just for a sure time frame until you pay extra for prolonged storage. This may be irritating when you find yourself attempting to match consumer behaviour over longer cycles.

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

I’ve labored with each the Enterprise and Enterprise tiers, and truthfully, the distinction in knowledge retention and integration choices (like with Salesforce, Slack, and Jira) actually pays off when your workforce depends upon cross-functional workflows.

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

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

What I dislike about Fullstory:

• Whereas Fullstory gives 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 lots of complexity in arranging workflows. Groups wish to see a listing of all latest interactions and think about them.  

What do G2 customers dislike about Fullstory:

“The trail of making helpful metrics is a bit complicated in order that for those who’re unsure what you are searching for at first, it is arduous to inform for those who’re pulling in the suitable metrics.”

– Fullstory Evaluation, Beth D.

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

Once I first began exploring PostHog, I truthfully 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 knowledge pipelines, it felt as if I had landed on a goldmine that did not require stitching collectively a bunch of various companies. The setup expertise was surprisingly clean. It may be built-in into the React software in below 10 minutes, which is a dream in comparison with the opposite analytics instruments that take longer.

One characteristic I genuinely liked, and would possibly sound a bit geeky, is the session replay functionality. Watching actual consumer classes helped my workforce spot buyer friction factors virtually immediately. You may 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 workforce. I additionally discovered their display screen recording characteristic to be equally spectacular and helpful.

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

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

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

The UX felt a bit clunky in locations, making the educational curve steeper than I might like. As an example, while you add your Postgres database to the info pipeline, it could not instantly work out tips on how to make the most of that knowledge. It took some trial and error, and truthfully, 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 help. 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 a fantastic job of scaling prices primarily based on utilization, which felt truthful. Nevertheless, when you begin exploring premium options, like superior consumer cohorts, granular entry management, or greater session replay limits, you’ll seemingly want to maneuver to one in every of their paid plans.

PostHog gives a number of tiers, however like most SaaS merchandise, the small print round what’s included at every degree could possibly be a bit clearer. I’d suggest getting in contact with their gross sales workforce for those who’re contemplating scaling past the free tier.

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

What I dislike about PostHog:

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

What do G2 customers dislike about PostHog:

“It may be a bit overwhelming at first as a result of it gives lots of options, reminiscent of session replay and occasion flags. You’ll want a while to know how every little thing works and what every characteristic does.”

– PostHog Evaluation, Muzammil Ok.

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 liked was how ridiculously quick I might arrange in-app experiences with out involving our dev workforce. The move builder is intuitive — drag and drop easy. It’s simple to construct customized onboarding workflows and gear suggestions in minutes.

One in all 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 help workforce, all with out leaving the platform.

Userpilot additionally shines in terms of 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 move optimization virtually easy.

Now, let’s talk about the cons. Userpilot’s move administration and useful resource middle scaling began to really feel a bit clunky because the setup grew. It is easy to handle when you’ve got a handful of experiences, however because the library expands, organizing and finding particular recordsdata turns into time-consuming.

Additionally, some customers on my workforce 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 when it comes to characteristic depth and month-to-month lively consumer (MAU) limits, you shortly end up taking a look at their Progress and Enterprise plans.

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

General, consumer pilot is a vital cog in your product analytics technique. It gives 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 could possibly be a bit extra strong. The workforce would have liked deeper insights into consumer interactions to refine the expertise.

What do G2 customers dislike about Userpilot:

“It isn’t 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 obtainable to help you. It depends upon your service/web site, so this may not apply to everybody.”

– Userpilot Evaluation, Ivan S.

Try my colleague’s latest evaluation of electronic mail advertising instruments and real-time consumer evaluations by G2 consultants to assist rating higher offers with electronic mail advertising campaigns in 2025.