Web Analytics Software

I'm not a fan of the piecemeal features. I felt like every time I went to use a feature, I would be prompted to set up a subscription. I understand why it's set up that way, but maybe an alternative is offering a la carte subscriptions (like it is now) and perhaps an all-inclusive package that contains everything at a discount (and maybe this already exists and I don't realize it because we chose the a la carte? :-) Review collected by and hosted on G2.com.

It's helping me clean up my website - mostly formatting issues. It has also helped start me on the path to improving our AI visibility. That has been a huge help. I'm a single person marketing team and I need things to be easy and efficient. SEMRush is both of these things. Review collected by and hosted on G2.com.

Well, it has a steep learning curve and constant UI changes. Transitioning to GA4 felt like relearning the tool from scratch, and it's frustrating when standard reports move around or feel less intuitive than the older version. Review collected by and hosted on G2.com.

Google Analytics solves the problem of figuring out what users are actually doing on our app or web app where they are getting stuck. For someone early in their career like me, it helps bridge the gap between frontend buttons and real user behavior. Instead of just guessing why traffic dropped or why a specific page isn't converting, we can track exact user journeys and make data-backed fixes to improve the product. Review collected by and hosted on G2.com.

Although Amplitude Analytics offers powerful analytics and experimentation features, some advanced capabilities can take time to understand, especially for new users. Setting up event tracking, configuring funnels, and interpreting experimentation results may require additional technical knowledge. The platform could improve the onboarding experience by providing more step-by-step guidance, simpler explanations of advanced metrics, and clearer recommendations when configuring reports. These improvements would help new users become productive more quickly. Review collected by and hosted on G2.com.

Amplitude Analytics helps me understand user behavior, analyze product performance, and identify areas where the user experience can be improved. Features such as funnel analysis help identify where users drop off, while retention analysis provides insights into whether users return to the product. Session Replay helps investigate user journeys and potential usability issues, and experimentation features support data-driven decisions when comparing different experiences. These capabilities make it easier to turn product usage data into actionable insights, improve decision-making, and identify opportunities to increase user engagement and retention. Review collected by and hosted on G2.com.

Contentsquare does not provide an explanation for the "why": The tool shows what users do (click, scroll, bounce), but not why they behave that way. To understand the motivation behind these actions, complementary methods such as user surveys or qualitative interviews are needed. Review collected by and hosted on G2.com.

Make better decisions: data-driven instead of gut feeling. You can see exactly how users behave on your pages and justify optimizations with numbers. You get quick insights because all interactions are automatically recorded without manual tagging, allowing you to start analysis immediately.

Optimize pages specifically: You can identify weaknesses, see where users drop off or don't perceive content, and make targeted improvements. At the same time, valuable areas become visible: You see which page areas actually contribute to conversion and which are mostly ignored.

Additionally, page comparisons can be made to better understand differences in user behavior. Review collected by and hosted on G2.com.

I haven't used Glassbox long enough to hit major friction. But if I had to guess: onboarding might feel heavy for non‑technical teams, and session replays could raise privacy concerns without clear filters. Also, for small festivals with tight budgets, the price point might be a barrier. Review collected by and hosted on G2.com.

I love how Glassbox identifies why users get stuck with its AI struggle detection, saving me from guessing. It highlights issues early so I can fix them before they affect sponsor satisfaction or sales. Review collected by and hosted on G2.com.

Creating complex announcements can quickly become confusing and time-consuming, especially when you’re dealing with multiple conditions or detailed targeting rules. Review collected by and hosted on G2.com.

Pendo helps us understand how users are actually interacting with our product. We can see which areas users spend more time in, where they drop off or go back, which features they use frequently, and where they may be getting frustrated or stuck. This helps us identify which parts of the product are intuitive and which areas are complex or need improvement. It gives us useful insights into user behavior and helps us make better decisions about improving the overall user experience. Review collected by and hosted on G2.com.

There’s honestly not much I dislike about LogRocket, as it’s a really valuable tool in my day-to-day work. If I had to mention something, it would be that finding specific sessions or identifying patterns across multiple users can sometimes be a bit time-consuming, especially when analyzing experiments or complex user flows. Review collected by and hosted on G2.com.

I use it to investigate why users abandon a flow, detect bugs that are difficult to reproduce, and understand how users interact with new features or experiment variations.

The biggest benefits are very practical: we can quickly identify where and why users get stuck, share session recordings with developers to speed up bug resolution, and prioritize improvements based on real user behavior. When running A/B tests, it also helps us understand what's driving the results, not just which variant performs better. Review collected by and hosted on G2.com.

There is nothing to dislike about convertcart. Review collected by and hosted on G2.com.

I use ConvertCart to optimize our website for data analysis, enhance our conversion rate, and solve technical challenges. Their JavaScript overlay allows for impressive upgrades and visual improvements, benefiting the technical aspects of our site. Review collected by and hosted on G2.com.

We did not receive much in terms of competitor metrics. It mainly targets the technical part of SEO, so I feel the main downside is the lack of competitor data. Overcoming this could make it one of the best tools. Review collected by and hosted on G2.com.

Lumar provides a competitive technical analysis report and helps my team, especially being new, understand website structure by showing linked and unlinked pages. Review collected by and hosted on G2.com.

Dataroid's functions are not always fast enough. These slow operations can sometimes cause operations to be interrupted. Features such as Audience and Export Manager can be made to run faster. Review collected by and hosted on G2.com.

Dataroid, businesses to make data-driven decisions. It helps businesses gain valuable insights into their customers and make better business decisions based on those insights. Dataroid also helps businesses track and optimize the performance of their marketing campaigns and websites.

The benefits that Dataroid provides for me are:

I can gain better insights into my customers and make better business decisions based on those insights.

I can track and optimize the performance of my marketing campaigns and website.

I can analyze my data faster and easier.

I can present my data in a more visual way.

I can share my data more easily. Review collected by and hosted on G2.com.

When the volume of data is absurdly large, it cuts off a bit or it bugs out. Review collected by and hosted on G2.com.

Detrics simplifies my report management, makes data downloading easier, and integrates easily. It allows me to organize and schedule queries with just a few clicks, making it very user-friendly and easy to use. Review collected by and hosted on G2.com.

Autocapture records clicks, but it can't tell identical buttons apart. Every signup button on our site says "Start for Free" and links to the same URL. To see which placement got the click (header, hero or a pricing tier), we had to write our own event with placement and plan properties. Loading PostHog through GTM also caught us out. Custom events pushed to the dataLayer don't reach PostHog unless you call it directly, and some events went missing before we noticed. Review collected by and hosted on G2.com.

It shows us which pages and CTAs lead to signups and demo bookings, so we decide content and layout from data. We also used its pageview data to find every 404 the site had served over six months. We redirected the most common broken paths and added a "Did you mean" suggestion to the 404 page. Without PostHog's records we wouldn't have known those visitors were being lost. Review collected by and hosted on G2.com.

The main area that could be improved is the overall user experience and ease of troubleshooting. Some settings and configuration options can be difficult to understand without technical knowledge, and it can take time to identify why a lead, source, or integration is not behaving as expected. Reporting and troubleshooting could also be more intuitive, with clearer error messages, better visibility into routing decisions, and easier access to detailed lead-level logs. Managing a large number of sources and configurations can also become challenging as the account grows. Review collected by and hosted on G2.com.

Phonexa helps us centralize and automate our lead distribution process. We use it to manage campaigns, publishers, buyers, ping/post integrations, routing rules, lead filtering, and buyer responses in one platform. This reduces the need to manage separate systems for different integrations and gives our team better visibility into how leads are being routed and monetized. It is particularly beneficial when handling multiple products, lead sources, and buyers with different acceptance and pricing requirements. Review collected by and hosted on G2.com.

I found the initial setup slightly complicated, so our PM and QA teams needed support from developers. The reports and insights are very detailed and can sometimes make us consider details that aren’t relevant, though I don’t think it’s something to complain about. Review collected by and hosted on G2.com.

I use Mixpanel to track real-life use cases that are relevant to users instead of getting lost in unnecessary scenarios and features that aren’t used often or bring value to customers. Review collected by and hosted on G2.com.

Nothing really, I cannot find anything to complaint Review collected by and hosted on G2.com.

Before Funnel.io, building or updating our marketing dashboards always required dedicated developer resources, creating a massive bottleneck. Funnel completely solves this problem by eliminating the need for an engineering background entirely. The platform is so intuitive that anyone in our business—from junior team members to senior executives—can use it super easily to get the insights they need. It has completely democratized our data and freed up our technical teams. Review collected by and hosted on G2.com.

Nothing. Leadlander gets the job done and performs up to our expectations. It's a very small investment that has proven to be the foundation of our marketing strategy. Review collected by and hosted on G2.com.

Leadlander accurately identifies website visitors. It's helped our marketing agency better understand our site visitor demographic and also when paired with our cost per conversion metrics, it has lowered the cost per qualified lead significantly, by 30+% for every agency client we utilize it for! Review collected by and hosted on G2.com.

What I dislike about Dataslayer.ai is that there are a handful of annoying limitations that trip me up constantly, especially since I’m juggling game asset pipelines, dev schedules, and launch marketing all at once at Horizon Pixel Games. I’m not a full-time data analyst by any means, I’m just the production coordinator trying to keep all our plates spinning. I need things simple and reliable, and some parts of this tool clearly feel built for larger marketing teams with dedicated analysts, not our small indie studio of under 50 people.

For starters, the Steam store integration is really spotty, and that’s a big deal for us. Steam is our main home, wishlist growth is the whole point of nearly every ad we run. A few weeks back we were gearing up for the teaser launch of our puzzle adventure game. I was trying to map our TikTok and Meta ad spend straight to Steam wishlist adds inside Dataslayer so we could see which ads were actually moving the needle. Some days the wishlist numbers synced perfectly, but then the next day it would pull partial, incomplete data or skip an entire day’s entries for no obvious reason. I’d log in first thing in the morning and spot huge gaps on the dashboard. I had to jump over to Steam’s own backend every single time to cross-check and validate everything. I couldn’t risk bringing wrong numbers to our weekly dev sync and misleading the team about how our campaign was performing. All that extra double-checking eats up so much of my day — time I should be organizing character sprite assets, checking in with our artists, or syncing up with programmers on bug fixes.

I also find the custom report builder pretty clunky to work with. For indie game launches, we only care about a small set of key metrics: cost per wishlist, click-through rate, and how each individual ad creative performs. But the tool loads every report with tons of extra, irrelevant metrics that don’t mean anything for our player acquisition work. It takes way too many clicks and menu hops to hide all that noise and lock in the clean view I need. When our studio lead messages me asking for a quick snapshot before our team meeting, I end up fighting with the layout instead of pulling the report in 30 seconds. To make it worse, our saved dashboards sometimes reset entirely if I adjust a filter or swap the date range. I’ll spend 20 minutes setting everything up just how I like it, come back the next day, and all my custom metric selections are gone. It’s super frustrating, and it makes me hesitant to rely on those saved views when we’re in the middle of a busy campaign push.

It’s not a total dealbreaker by any means, and it still beats copying numbers manually between a dozen different ad tabs. But these unreliable syncs and finicky reporting features add unnecessary stress. When we’re racing toward a big game milestone and every marketing budget call matters, the last thing I need is to waste time troubleshooting the tool itself. Review collected by and hosted on G2.com.

Before Dataslayer.ai, tracking our game marketing was such a messy, manual headache for me at Horizon Pixel Games. I’m the production coordinator, so I already have my hands full managing art assets, scheduling tasks for our dev team, and coordinating player outreach. We ran ads on Meta and TikTok, sent out newsletters to our wishlist subscribers, and all our core conversion data lived inside Steam. Every week I had to log into each platform separately, copy numbers one by one, and paste everything into a Google Sheet to piece together a basic performance snapshot. It took hours, and it was really easy to make typos or miss a day’s data. I remember during our last teaser campaign, I spent almost an entire afternoon compiling stats, and I still couldn’t easily tell which ads were actually driving Steam wishlists versus just getting random cheap clicks. We were basically guessing where to put our limited marketing budget.

Dataslayer.ai fixes that mess by pulling all our marketing data into one single dashboard. I can connect our ad accounts from Meta and TikTok, then pull in our campaign metrics all in the same place. The biggest win for our indie studio is being able to tie our ad spend to our main goal: Steam wishlist adds. I don’t have to bounce between four different websites just to compare creatives. A couple months ago, we were testing two different teaser clips for our puzzle game. One was a short, snappy gameplay clip, the other was a slower story-focused trailer. Dataslayer let me quickly see that the gameplay clip had a way lower cost per wishlist. We shifted most of our budget over to that creative, and our wishlist numbers climbed way faster without us burning through extra cash.

It also cuts down the time I spend building updates for our team. Our artists, programmers, and studio lead don’t want to dig through raw ad platform data. I can pull a clean dashboard view and share it straight to our weekly production sync. Everyone can quickly see what’s working, and we can make fast calls on our marketing plan without waiting for me to build a spreadsheet from scratch. The simple AI query tool helps too — I can ask plain questions about our campaigns instead of fumbling around trying to build complicated reports.

For a small indie team like ours with no dedicated marketing analyst, this is huge. It takes all that tedious number-chasing off my plate. Instead of spending half a day copying and checking metrics, I can focus on keeping our asset pipeline moving, following up with the team on bugs, and prepping our next round of player communications. It turns guesswork into clear, actionable data so we make smarter choices with the limited marketing budget we’ve got. Review collected by and hosted on G2.com.

One drawback of Adobe Analytics is its complexity, particularly for beginners. The interface can feel unintuitive at first, and setting up reports often seems overwhelming without prior experience. The platform is also relatively expensive, which can make it less suitable for small businesses or startups. In addition, data processing and report loading can sometimes be slow, especially when working with large datasets, so insights are not always available instantly. Review collected by and hosted on G2.com.

The biggest benefit of Adobe Analytics is the ability to make more data-driven decisions. Rather than guessing which content or campaigns are performing well, the platform delivers clear insights into customer behavior, conversion paths, and engagement trends. It also helps identify opportunities to improve user experience, optimize marketing spend, and increase conversions through more accurate reporting and granular audience segmentation. Review collected by and hosted on G2.com.

There is nothing of note that I particularly dislike so far. As a relatively new user I am still exploring some of the more advanced features, so there may be areas I haven't used enough yet to judge properly. The amount of information available can feel a little overwhelming at first, particularly when learning what is actually useful for your own site, but overall I haven't encountered any significant problems with the service. Review collected by and hosted on G2.com.

Being able to see how visitors are interacting with the site, particularly after posting on social media, helps me understand whether that activity is actually bringing people to the store and what they do once they arrive. The session recordings are particularly useful as I can see how visitors navigate the site, which products they look at and where they may lose interest. As a new ecommerce business this gives me information that normal traffic statistics alone don't provide and should help me improve the site as traffic increases. Review collected by and hosted on G2.com.

The custom reporting functionality feels very restricted for our Canadian compliance workflows. I regularly need to segment portal traffic by client province or business entity type for internal reviews, but the filtering tools require tedious manual data manipulation to pull usable datasets. When I export large volumes of historical session recordings for weekly UX audits, the dashboard suffers from noticeable lag that slows our review process significantly. There is no out-of-the-box connection to our proprietary finance CRM, so every time we need to cross-reference portal activity against client records, we must export raw Insightech data into Excel for manual matching. On top of that, the tiered pricing structure scales unfavorably; as we expanded tracked pages across our full client portal network, our monthly platform expenses rose substantially. Review collected by and hosted on G2.com.

Before implementing Insightech, we could only rely on vague aggregate metrics to guess why clients abandoned mandatory compliance and tax submission forms. We lacked a straightforward way to recreate reported usability bugs, leading to lengthy back-and-forth between our finance support team and web developers. This platform consolidates all user behavior tracking in one location, clearly highlighting specific friction points throughout the portal submission process. We now identify and resolve technical and layout-based issues far quicker, which has directly reduced the volume of client help desk tickets tied to portal navigation and form failures. Review collected by and hosted on G2.com.