7 Finest Product Analytics Software program in 2025: My Evaluate

B2B enterprise house owners rely not simply on viewers insights, but additionally on the response of shoppers or different stakeholders who make the most of their merchandise to finish an motion.

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

As a part of the advertising and marketing group of a budding B2B startup, I’ve been straight concerned in iterations of merchandise based mostly 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 guage the most effective product analytics instruments myself. These instruments offer you insights into how customers work together together with your product, exhibit constructive or detrimental sentiment, and supply belief alerts.

This record would offer you a whole analysis of the most effective 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 purposes.

7 greatest product analytics instruments I strongly suggest

Because the backend group of a B2B product, your future scope of developmental adjustments and product upgrades is determined by what your prospects consider you. Whilst you could 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 observed a transparent hole between the metrics that companies attempt to monitor and the buyer market metrics that truly matter. You could have your sequence of launch approvals or go-to-market launches, however the core challenge 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 keep up 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 to date.

Analyze the uncooked shopper information, section it based mostly on demographics, and spot patterns of regularly listed complaints or detrimental responses that may provide help to enhance your iteration processes. Whereas product analytics instruments present an in depth 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 appropriate resolution.

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’re contemplating:

• Occasion-based consumer journey monitoring: I did not take into account instruments that solely supply primary web page views on your product; quite, I prioritized those that monitor each significant consumer motion, from button clicks to function utilization, throughout the whole buyer journey. With out this function, 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 understanding precisely what behaviours result in conversions, so you may double down on what’s working and repair what’s not. 
• Cohort and segmentation evaluation: In case your analytics device cannot section your cohorts into significant classes, like energy customers, churn dangers, or first week drop-offs, you will not have the ability to scale what you are promoting. I listed the options that supply superior segmentation, which helps you to personalize experiences and campaigns based mostly on actual consumer behaviour. This helps you goal the precise customers with the precise messages on the proper time, bettering each retention and income with much less advertising and marketing waste.
• Funnel visualization and drop-off evaluation: You must 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 may prioritize fixes which have the largest income affect and switch leaks in your funnel into progress alternatives.
• Retention and stickiness reviews: One-time customers or churned prospects wouldn’t develop your base, however retained and sticky customers will. I made positive 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 focus on the significance of not taking your buyer information evenly and regulating your pipeline conversions. On this sector, delayed information is wasted information. I regarded for real-time dashboards that replace stay so you can also make quick and knowledgeable selections with out ready on engineering or weekly reviews. 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 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 very best G2 scores and bigger reciprocation from the shopper market.

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

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

*This information was pulled from G2 in 2025. Some critiques 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.

After I began, it actually stood out to me how straightforward it was to stand up and working. 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 tip of it.

Not simply me, however even my advertising and marketing 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 nevertheless you need. I discovered the Cohorts function particularly good. It lets me group customers based mostly on behaviours like “customers who watched a product demo however did not join” and examine their engagement patterns in opposition to different teams. 

What I additionally liked 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 hardly ever confronted delays or annoying load occasions, even when working heavy queries on tens of millions of occasions. You’ll be able to construct customized dashboards to trace the whole lot, from every day lively customers to conversion charges.

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

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

What’s extra, Amplitude closely is determined by the standard of your occasion tagging plan. In case your implementation group does not outline occasions clearly or when you’ve got inconsistent naming conventions (and, let’s face it, most of us do sooner or later), your information shortly turns into messy and irritating to work with. Many occasions, you will end up wishing for smarter methods to reorganize or rename occasions with out having to re-engineer your whole information pipeline.

Additionally, Amplitude is event-focused, and typically, 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. 

Relating 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 help. Truthfully, in case you are working 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 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 and marketing outreach to transform higher.

What I dislike about Amplitude:

• Though Amplitude segments your analytics in a user-friendly method, I believe it’s a little bit of a problem for newbies, as it’s a bit sophisticated. 
• I noticed that Amplitude is just not all the time intuitive about how varied charts work. I typically observed customers falling again on segmentation and periods as a result of they do not perceive how the opposite varieties work.

What do G2 customers dislike about Amplitude:

“The inherent complexity of the reporting capabilities might show to be overwhelming at occasions, 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 assist you to dig into the complicated reviews if you’d like/have to.”

– Amplitude Evaluate, 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’ll be able to 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.

Considered one 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 group. 

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

I additionally appreciated the heatmaps and consumer stream 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 function? An enormous bonus! You get insights on web page load occasions, sluggish API responses, and useful resource bottlenecks with no need a separate efficiency monitoring suite.

That stated, not the whole lot is gold. Premium options like superior filtering, group collaboration options, and long-term information retention are hidden behind a paywall. I observed 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 varied workflows. 

One other factor that will get beneath 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 once you depend on it to catch the whole lot.

Whereas session replays are insightful, they don’t scale effectively. Watching a whole lot of periods to establish tendencies 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 typically really feel sluggish, particularly when loading massive periods or filtering by means of in depth logs. Plus, I want historic information retention had been accessible on low-tier plans. Proper now, it seems like a little bit of a paywall if you wish to entry older session information.  

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

Nonetheless, LogRocket displays occasion monitoring, web site monitoring, session replays, and different product analytics metrics to guage consumer engagement and interactions and reveal buyer tendencies 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 usually are not captured. The platform’s information will be complicated or overwhelming.

What do G2 customers dislike about LogRocket:

“The principle challenge we have now is that the information is just not archiving/being accessible after a month. This does harm 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 form of LogRocket academy hub or coaching accessible to customers as an alternative of only a library of documentation, which will be dense to learn by means of.”

– LogRocket Evaluate, Ashley Okay.

Pendo supplies real-time consumer insights and product utilization metrics to ship the most effective software program experiences and optimize the productiveness of your group and purchasers. With Pendo’s in-app dashboard, you may drive leads, enhance calling, generate surveys, and do much more to drive satisfaction.

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

Considered one of my favourite issues about utilizing Pendo is granular buyer segmentation. I can filter all the way 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 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 straight 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 suppose was attainable with out complicated BI instruments. I can see adoption tendencies, monitor utilization patterns, and even acquire consumer suggestions, all inside one platform. It makes my job simpler and helps my group make smarter selections.

Nevertheless, Pendo is not good. There have been occasions when the suggestions dashboard did not load accurately, forcing me to navigate by means of different menus simply to search out what I used to be in search of. And whereas the product delivers a ton of worth, the price ticket will be fairly steep, particularly in case you are trying to unlock its premium analytics and reporting options. 

A few of 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 usually straightforward to make use of, we did face some challenges by way of accessibility that required back-and-forth with their help group. 

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

What I dislike about Pendo:

• Though Pendo can vastly enhance the end-user expertise based mostly on buyer responses, its export choices will be restricted, making it troublesome to retrieve survey responses in a format appropriate for detailed exterior evaluation.
• I observed that for some purpose, the preview typically does not mirror 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 effectively. The data base is fairly good, however as with all instruments, it may be outdated.”

– Pendo Evaluate, Trina S.

Glassbox is a buyer intelligence resolution which consolidates survey responses, buyer suggestions and location-wise information into your product analytics window. It additionally supplies information concerning 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 on the subject 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 function 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 recognize extra is how straightforward it’s to navigate Glassbox. Whether or not I’m organising filters to section periods by gadget kind, buyer journey stage, or geography, the whole lot feels intuitive. The potential to go looking and filter periods by consumer actions like “kind submissions” or “error messages” has saved me hours. I now not need to manually sift by means of countless information because the device brings probably the most related periods proper to my fingertips.

I’ve used each the usual and premium plans of Glassbox, and I need to say the soar 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.

In fact, GlassBox does have its fair proportion of limitations. One of many largest challenges I confronted was the training curve. Whereas the device is highly effective, it may really feel overwhelming at first, particularly with out sufficient 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 reviews with connected 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 observed that real-time session playback can lag, particularly when coping with high-traffic intervals or periods with numerous information factors. This typically disrupts the stream of my evaluation, forcing me to refresh or look ahead to 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 rapid consideration, quite than simply flagging generic anomalies.

Lastly, whereas the premium options are improbable, they do come at the next worth level, which could not be justifiable for smaller groups or companies simply beginning out. The subscription tiers may gain advantage from extra versatile pricing or function 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 components of your digital software and double down on what’s working.

What I dislike about GlassBox:

• Though GlassBox supplies clear insights on how your product seems to customers, the UI might have been a bit higher and extra participating.
• I observed that, presently, customers can solely look again on the final 30 days’ information. It makes historic information monitoring troublesome.

What do G2 customers dislike about GlassBox:

“Information accuracy is all the time the largest matter when discussing Glassbox. I do know that periods are sampled, however typically 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, typically the web page loaded has empty slots, and it is a bit tougher to grasp what’s behind.”

– GlassBox Evaluate, Antonio D. 

Fullstory is a behavioural analytics device that product or digital advertising and marketing 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 function. Think about with the ability to replay a consumer’s journey from begin to end. Each faucet, click on, and each rage click on (, when customers furiously click on one thing anticipating it to work). Fullstory does not simply present you the replay; it tags these rage clicks, useless clicks, and error clicks so you may 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 with no need engineering to arrange guide 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 information ready for me.

I additionally love their search and segmentation capabilities. If it’s good to pull up all periods the place somebody skilled a JavaScript error, Fullstory can do it.

If you wish to construct a section of customers who deserted their carts after coming into their transport data, Fullstory supplies 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’re 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 device. After I first jumped in, I used to be overwhelmed by the huge quantity of information accessible. However when you get the cling of it, it seems like unlocking cheat codes for consumer insights.

One factor value mentioning is the interface. Whereas highly effective, it may really feel a bit clunky at occasions, particularly when managing notes or when attempting 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 net 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 frame except you pay extra for prolonged storage. This may be irritating if 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 group collaboration options.

I’ve labored with each the Enterprise and Enterprise tiers, and truthfully, the distinction in information retention and integration choices (like with Salesforce, Slack, and Jira) actually pays off when your group is determined by cross-functional workflows.

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

In brief, Fullstory is a dependable and agile behaviour analytics device 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 numerous complexity in arranging workflows. Groups wish to see a listing of all latest 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 unsure what you are in search of at first, it is onerous to inform if you happen to’re pulling in the precise metrics.”

– Fullstory Evaluate, 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 by way of shopper analytics.

After 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 function flags and information 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 easy. It may be built-in into the React software in beneath 10 minutes, which is a dream in comparison with the opposite analytics instruments that take longer.

One function I genuinely liked, and would possibly sound a bit geeky, is the session replay functionality. Watching actual consumer periods helped my group spot buyer friction factors virtually immediately. You’ll be able to minimize 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 group. I additionally discovered their display screen recording function to be equally spectacular and useful.

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 acquired had been fairly superior, and even on the free model, it felt like PostHog supplied insightful metrics, which normally are accessed with enterprise plans.

I additionally preferred how they help self-hosting, which supplies us extra management over our information, one thing that is more and more necessary in at this time’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 people. I observed my much less savvy teammates struggling to determine what metrics to trace and set issues up correctly. 

The UX felt slightly clunky in locations, making the training curve steeper than I might like. As an example, once you add your Postgres database to the information pipeline, it could not instantly work out make the most of that information. 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 steering on in-app verification to substantiate if we had configured issues accurately. One other hole I observed 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 supplies it or not.

Relating to pricing, PostHog does an important job of scaling prices based mostly on utilization, which felt truthful. Nevertheless, when you begin exploring premium options, like superior consumer cohorts, granular entry management, or larger session replay limits, you’ll seemingly want to maneuver to one among their paid plans.

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

General PostHog presents 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 presents a seamless consumer expertise and tracks analytics simply, the documentation could be onerous to observe and old-fashioned.
• I observed 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 numerous options, akin to session replay and occasion flags. You’ll want a while to grasp how the whole lot works and what every function does.”

– PostHog Evaluate, Muzammil Okay.

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 group. The stream builder is intuitive — drag and drop easy. It’s straightforward to construct customized onboarding workflows and power suggestions in minutes.

Considered one 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 help group, all with out leaving the platform.

Userpilot additionally shines on the subject of behavioral analytics and consumer insights. The viewers concentrating on is laser-focused. I might set off experiences based mostly on consumer attributes, behaviour, or occasions tracked by means of 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 stream optimization virtually easy.

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

Additionally, some customers on my group observed 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 function 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 worth soar feels steep, particularly for smaller groups or startups.

General, consumer pilot is a necessary 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 tip consumer expertise.

What I dislike about Userpilot:

• Whereas Userpilot supplies 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 strong. The group 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 will be difficult if you do not have the technical expertise or have devs simply accessible to help you. It is determined by your service/web site, so this won’t apply to everybody.”

– Userpilot Evaluate, Ivan S.

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