Website Traffic Software

There are so many metrics and reporting options that it can feel overwhelming at first. It takes some time to understand which data is actually important for my content strategy. Review collected by and hosted on G2.com.

I use analytics to better understand the traffic coming to my online content and identify what is attracting my audience. Instead of making content decisions based only on views or assumptions, I can look at real traffic and engagement patterns to understand what is working. This helps me improve my content strategy, promotion and overall online presence. Once you get familiar with the platform, it becomes a very powerful tool for making data driven decisions. Review collected by and hosted on G2.com.

The invoicing works in a way I’ve experienced recently that’s been frustrating. I have two users under my main ID, and I’m on the Pro package. If we try to access something outside our package, it prompts us to purchase, which is obvious. However, one of my users can click “purchase” on their own, and it gets added to the next month’s invoice without asking for any card details or anything else. That’s quite disappointing. It should ask for confirmation first, or at least not be added directly to the invoice. We also couldn’t even identify who made that purchase. Review collected by and hosted on G2.com.

Semrush helps us tackle many real challenges in our day-to-day SEO and digital marketing work. It gives us clear visibility into AI performance and AI search visibility for websites, which is becoming increasingly important as search shifts toward AI Overviews and LLM-driven results. On top of that, it lets us track rankings, audit technical SEO issues, analyze competitors, and monitor backlinks—all from one platform. That saves a lot of time compared with switching between multiple tools. As a result, our reporting is more accurate and our strategy recommendations are more data-backed, which ultimately benefits both our internal team and our clients by helping us make faster, more informed decisions. Review collected by and hosted on G2.com.

As a Product Analytics II at Earnest, I use Amplitude Analytics to understand how users interact with our digital products and to uncover opportunities to improve the customer experience. I primarily use it to analyze user behavior, explore conversion funnels, monitor key product metrics, and identify where users may be dropping off or experiencing friction.

Amplitude is especially useful for answering product questions quickly, validating hypotheses with behavioral data, and helping product teams make more informed decisions. I also use it to segment users, compare behavior across different groups, and understand how changes to the product impact engagement and conversion over time. Review collected by and hosted on G2.com.

One area that could be improved is the learning curve for some of Amplitude’s more advanced features. While the core analytics experience is fairly intuitive, building more complex analyses or understanding exactly how certain metrics and events are defined can sometimes require additional context or documentation.

I’ve also found that as analyses become more complex, the interface can feel a bit crowded, and it isn’t always immediately obvious which approach or visualization is best for answering a particular question. More contextual guidance and clearer explanations within the product would make it easier to move from a business question to the right analysis, especially for less frequent users.

Overall, these are relatively minor friction points rather than major limitations, but improving discoverability and guidance around advanced functionality would make the experience even better. Review collected by and hosted on G2.com.

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Amplitude helps solve the challenge of turning large amounts of behavioral data into insights that product teams can actually act on. It allows us to understand how users move through key journeys, where they encounter friction or drop off, and how different segments engage with the product.

For me as a product analyst, the biggest benefit is being able to answer many product questions quickly without needing to build a new analysis from scratch every time. It makes it easier to explore hypotheses, identify trends, measure the impact of product changes, and communicate findings with stakeholders through clear visualizations.

Ultimately, it helps reduce the time between identifying a product question and getting to a data-informed answer, which supports faster and more confident decision-making. 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.

The platform has a noticeable learning curve, especially for new users. Creating polished guides and managing them at scale can become time-consuming, and some customization options are limited. The interface can feel overwhelming because many features are spread across different areas. I would also like to see stronger AI-assisted authoring, better workflow automation, and a more intuitive overall experience. Review collected by and hosted on G2.com.

Pendo helps us improve first-time user experiences by guiding users through key workflows and features. It also helps us create targeted user segments, deliver relevant in-app messages, and understand how different groups engage with the product. Features such as guides, tooltips, and product analytics make it easier to support adoption without depending on engineering for every update. 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.

The bigger risk is that the platform makes it so easy to start collecting data that teams end up postponing key decisions around event naming, ownership, properties, and activation criteria. That approach usually works—until multiple teams are relying on the same dashboard and realize that similar events were implemented differently, or that a critical property was never captured in the first place. Review collected by and hosted on G2.com.

A redesigned onboarding experience was already live for 30% of users when the growth team noticed that first-project creation had improved, but full activation wasn’t increasing at the same pace. We opened the experiment in PostHog and compared the variants in Funnels. The new version moved more people into the dashboard, but fewer users connected the integration required to complete the workflow. Starting from the step with the biggest drop-off, we went into Session Replay and uncovered two separate issues. On smaller screens, the integration option was sitting below the fold. For other users, the copy made the integration sound optional even though the workflow depended on it. Engineering fixed the layout under the same Feature Flag, marketing rewrote the message, and product added a short Survey for users who still abandoned that stage. Before increasing the rollout, we added “connected integration” as a secondary metric and reviewed the errors tied to each variant, rather than judging the experiment only by project creation. PostHog didn’t tell us what our activation definition should be, but it did give product, growth, and engineering the same evidence. It let us improve the experience without rolling back the entire release, and it helped us expand the experiment based on a more complete view of user success instead of a single conversion number. 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.

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.

LogRocket is most useful for us when a problem only makes sense after we’ve seen the exact sequence of state changes that led up to it. Being able to record Redux state and actions gives us that missing context, and pairing it with Frontend Performance Monitoring, heatmaps, clickmaps, rage clicks, and dead clicks helps us uncover issues that never throw a JavaScript exception. A page can return 200 on every request and still feel broken if a button looks clickable but does nothing, or if the interface takes too long to become usable. Because LogRocket captures performance, network activity, console logs, and user behavior through the same SDK, we can usually tell pretty quickly whether we’re dealing with a technical failure, a usability problem, or simply a confusing interaction. Product Analytics adds another helpful layer when the issue shows up inside a funnel: we can spot the drop-off, isolate the sessions that didn’t convert, and jump straight into replay instead of comparing dashboards across tools and then manually hunting down the same users. Review collected by and hosted on G2.com.

One downside is that LogRocket can surface more information than you realistically know what to do with. If the team starts opening random replays just hoping to “find something,” it quickly becomes a very expensive way to watch people use the product. We’ve seen much better results when we begin with a concrete signal—an error, a funnel drop, an affected user, or a Galileo insight—and then use the session replay as supporting evidence, rather than treating the replay itself as the investigation. Review collected by and hosted on G2.com.

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After a checkout change, support started getting reports that the payment button “did nothing.” Our automated tests were still green and there was no obvious exception, so the issue felt frustratingly vague at first. We filtered LogRocket sessions by the checkout URL and network failures, and quickly spotted users clicking the button over and over while one request was returning a 409 because the cart state had gone stale. In LogRocket’s Network Logs we could see the response clearly, and the timeline made it obvious how that network behavior lined up with our frontend state: Redux had left a loading flag stuck on, so the component never returned to an interactive state. From the user’s perspective, it really did look like a dead button. We fixed the reducer, added a more specific error message, and then reviewed the same funnel again to confirm the rage clicking had actually disappeared. LogRocket saved us from having to ask the customer for yet another screen recording, connected network activity and frontend state in one place, and let us validate the fix using real sessions instead of calling it done just because it worked locally. Review collected by and hosted on G2.com.

I find setting up webpages mapping and tracking variables requires significant initial effort and close coordination with our web development team. Ensuring URL mapping standards and custom event definitions remain accurate over time can be demanding, especially with frequent website updates and multi-channel marketing campaigns. While the visual insights are powerful, navigating advanced segmentation, journey funnels, and metric definitions can be overwhelming for non-analysts. Pre-built use case-specific dashboard templates or more guided onboarding workflows would help cross-functional business stakeholders get value out of the platform faster. Also, despite Contentsquare's AI-driven anomaly detection and mapping assistants, I feel the platform could improve by offering automated, prioritized action recommendations. An automated workflow estimating the precise revenue or leads impact of fixing each UI roadblock would help prioritize CRO tasks instantly. Review collected by and hosted on G2.com.

I use Contentsquare to uncover UI/UX friction points, optimize leads, and boost ROAS by analyzing user behavior. Its granular analytics, like zone-based heatmaps, give insights that refine digital marketing strategies and redesigns for better conversions. Review collected by and hosted on G2.com.

Within one of the pivot tables, the one with the heat map, we couldn't find how to display an ad image when connecting with Looker Studio. It remains pending to analyze with support. Review collected by and hosted on G2.com.

I use Dataslayer.ai to connect it with Looker Studio and fully automate my reports. The tool is intuitive, includes an AI add-on that I find useful for resolving errors or clarifying metrics, and the team's support is excellent. Review collected by and hosted on G2.com.

What I like best about Mixpanel is how effectively it brings user behaviour, product usage, and conversion data into one place, making it easier to turn data into actionable insights. The interface is intuitive, and features like funnels, cohorts, retention reports, and detailed event analysis allow me to quickly understand user journeys, identify drop-offs, and evaluate campaign performance without relying heavily on technical teams. Its integrations with other analytics and marketing tools also make it easier to connect behavioural insights with CRM and campaign data, giving us a more complete view of the customer journey. The platform performs well when analysing large volumes of user data, and the ability to quickly filter, segment, and drill down into reports significantly reduces the time spent on manual analysis. From an ROI perspective, this efficiency is one of the biggest benefits, as it helps us make faster and more informed targeting and campaign decisions. The onboarding experience and documentation are helpful when exploring different capabilities, while the AI and intelligence features provide an additional layer of support by helping identify trends and patterns that may otherwise take more time to uncover manually. Overall, Mixpanel has made our analytics workflow more efficient and has helped us move from simply looking at metrics to understanding the behaviour behind them and using those insights to drive better CRM decisions. Review collected by and hosted on G2.com.

One area where Mixpanel could improve is making the overall experience more streamlined for users working with complex datasets and multiple reports. While the UI is generally intuitive, some advanced analysis and navigation flows can feel slightly cumbersome, especially when building or modifying detailed funnels and cohorts. On the integrations side, having more flexibility and simpler configuration for connecting data across different marketing and analytics platforms would be helpful, as setting up or troubleshooting integrations can sometimes require additional effort. Performance is generally good, but reports involving large datasets or multiple filters can occasionally take longer to load, which can slow down analysis when quick insights are needed. From a pricing and ROI perspective, the value is strong for teams that actively use advanced analytics, but the pricing structure can feel difficult to justify for teams with lighter usage, so more flexible plans based on usage or specific features could be beneficial. The onboarding experience could also be improved with more guided walkthroughs for advanced features, helping users get value from the platform faster. While the AI and intelligence capabilities are useful, they could become more impactful with deeper contextual understanding of a company's data and more actionable recommendations rather than primarily highlighting patterns or insights. Overall, Mixpanel is a strong analytics platform, but improvements in usability, integration flexibility, performance at scale, pricing flexibility, guided onboarding, and AI-driven recommendations would make the experience even better. Review collected by and hosted on G2.com.

To enhance the user experience, Mixpanel could focus on streamlining the interface for complex data analysis, improving integration flexibility, and offering more guided onboarding for advanced features. Additionally, optimizing performance for large datasets and providing more flexible pricing plans could further enhance its value proposition. Enhancing AI capabilities to offer deeper insights and actionable recommendations would also be beneficial. Review collected by and hosted on G2.com.

Before using Mixpanel, analysing user behaviour and understanding where users were dropping off required a lot of manual data consolidation across different sources, which made it difficult to get a clear view of the customer journey. Mixpanel has helped solve this by bringing event-level behavioural data into an intuitive interface where we can quickly build funnels, cohorts, retention reports, and segment users based on their actions. This has made it much easier to identify high-intent users, understand conversion drop-offs, and evaluate the impact of different CRM campaigns and product touchpoints. The integrations with other analytics and marketing platforms also help connect behavioural insights with campaign data, reducing the need to manually reconcile information across tools. From a performance perspective, being able to analyse and filter large datasets quickly has significantly reduced the time required for regular reporting and analysis, allowing us to move faster from identifying an insight to taking action. The platform also provides good ROI by reducing manual analytical effort and helping us make more informed targeting and campaign decisions. Its intuitive UI, documentation, and onboarding resources make it relatively easy for teams to adopt, while the AI and intelligence features provide additional support in identifying patterns and trends. Overall, Mixpanel has helped us move from basic metric reporting to deeper behavioural analysis, enabling more data-driven CRM decisions and making our overall analytics workflow more efficient. Review collected by and hosted on G2.com.

While Clicky is very functional, some additional integrations with other marketing and CRM tools would improve workflow efficiency. The reporting options are good but could benefit from more customization for complex analytics needs. Review collected by and hosted on G2.com.

Clicky helps solve the problem of delayed or fragmented web analytics. By providing real-time insights, it allows me to respond quickly to trends, optimize user experience, and improve conversion rates. This has made website management more efficient and data-driven. 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.

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.

There isn’t much to dislike, but if I had to point out something, I would say the amount of insights can feel overwhelming at first. It takes a little time to figure out which reports are the most relevant for day-to-day use. Review collected by and hosted on G2.com.

Delve AI helps us understand our customers and competitors in a way that would take a lot of time and resources to do manually. Before, we were piecing together information from different tools and still didn’t get the full picture. Now, we get clear customer personas, buying behaviors, and competitor insights all in one place. This saves us a huge amount of time, but more importantly, it gives us confidence in making marketing and product decisions. The benefit is that we can move faster, personalize our campaigns better, and stay ahead of competitors. Review collected by and hosted on G2.com.

From our accounting compliance perspective at FinKontor GmbH Leipzig, Insightech has major gaps for German audit standards. It lacks immutable, tamper-proof audit logs required under GoBD. Session recordings cannot be directly handed over to tax authorities as valid evidence. On top of that, automatic data retention settings are not GDPR-aligned; visitor session data accumulates with no regulated expiry. I also run into occasional export glitches for large session bundles. All this forces me to spend extra work manually sorting, validating and re-archiving files onto our encrypted local storage for the client tax audit preparations. Review collected by and hosted on G2.com.

Insightech automatically captures full user session journeys and site behavior, providing tangible evidence for tax audits. It saves time by eliminating manual documentation gaps, though I need to export and archive data to ensure compliance with GoBD and GDPR standards. Review collected by and hosted on G2.com.

Nothing really. Some channels have taken a while to onboard but that's to be expected. Review collected by and hosted on G2.com.

Fospha gives us true attribution across all of our paid channels - Meta, Snap, TikTok, Affiliates, CRM, SMS etc. Review collected by and hosted on G2.com.