Best web analytics services for behavioral data insights

Your dashboards can tell you that your bounce rate went up and conversions went down, but not why. That's the disconnect most website analytics tools leave open, especially for enterprise teams running complex web and mobile experiences where a dozen small friction points can hide behind one bad week of numbers.

This guide looks at web analytics services through that missing behavioral depth layer. We'll cover what these tools capture, where traffic and product analytics tools fall short, and how to evaluate a platform built to explain the why behind your data.

What are web analytics services?

Web analytics services capture, structure, and surface data about how users interact with a website or digital product. Businesses use that data to , increase conversions, and make more informed decisions. Most services fall into one of three categories:

• Traffic analytics: page views, traffic sources, and bounce rates (Google Analytics, Adobe Analytics)

• Product analytics: funnel analysis, retention, and event tracking (Amplitude, Mixpanel)

• Behavioral analytics: full behavioral context, friction signals, and AI-powered insights at the session level (Fullstory, Contentsquare, Glassbox)

Behavioral analytics pulls from that same traffic and product data, but connects the dots between what happened and why, instead of leaving you to piece it together yourself.

Why behavioral data matters for enterprise teams

The connection between what happened and why is where enterprise teams see the biggest payoff. Behavioral data shows exactly where users hesitated, the moments that confused them, and the paths that finally worked.

That's a stronger signal for measuring what's actually driving results, refining SEO and content decisions, and understanding an audience beyond traffic numbers, especially when it's instead of a delayed report.

Behavior analytics tools put that behavioral context to work on issues like a checkout flow losing conversions or an onboarding step causing drop-off, tracing each back to what actually happened on the page.

Turn behavioral data into faster answers.

Learn more ➜

Best web analytics services overview

Enterprise teams typically mix traffic analytics, product analytics, and behavioral analytics, and the right combination depends on how much context you need behind the numbers.

1. Fullstory 

Best for: Enterprise digital and product teams that need high-resolution behavioral data connected to AI-powered insights

Fullstory is a that gives your team deep insight into how users interact with their digital products. Fullcapture is the foundation, automatically indexing every interaction across web and mobile with no manual tagging, and its full retroactivity means teams can analyze past sessions for insights they didn't think to track at the time.

Most tools rely on manual instrumentation or limited autocapture, so missing data weakens the AI insights built from it. StoryAI avoids that problem, drawing on Fullcapture's complete context to surface friction points, summarize sessions, and answer plain-language questions without an analyst in the loop.

Privacy by Default masks sensitive data at the source, including on mobile, so depth never comes at the cost of compliance.

Key features:

• Fullcapture: High-resolution, server-side behavioral data capture across web and mobile; no manual tagging; full retroactivity

• StoryAI: AI agents that surface summaries, answers, opportunities, and predictions; built on the full behavioral dataset

• Enhanced heatmaps: Auto-configured; no setup required when pages change

• Sentiment signals: Surfaces rage clicks, dead clicks, error clicks, and thrashed cursors; fully automatic

• Fullstory Anywhere: Exports structured behavioral data to your data warehouse; supports BI and advanced modeling

Pros 

• Comprehensive insights into user behavior across web and mobile

• Unified behavioral data in a single platform, with no separate tools or data models to stitch together

• Privacy-first approach that protects sensitive data by default

Cons 

• Feature-rich platform that may take new users time to fully explore

• Custom pricing, not published upfront

Pricing  

Fullstory offers a free tier and custom pricing for its Business and Enterprise plans. It stands out for its ability to understand and visualize customer interactions in a granular, user-friendly way.

Review 

Fullstory is an insightful, user-friendly tool that has greatly impacted quoteline improvements at Everyday Insurance. We receive unparalleled support from the CSM team - shout out to Alana Martino-Burke for going above and beyond to help with configuration and analysis. There are always new features demonstrating that the platform is industry-forward and constantly reviewing its usability. I recommend Fullstory as a behavioural tool to improve product, optimisation, compliance and QA.

- Shantelle L., Verified G2 Review

2. Contentsquare

Best for: Enterprise teams analyzing page-level zone behavior and customer journeys

Contentsquare is a direct competitor to Fullstory in the enterprise behavioral analytics space, with zone-based heatmaps and journey analysis as its main strengths. But years of acquisitions (Heap, Hotjar, Clicktale) have left it with a fragmented data model: features don't share a consistent structure, and AI can't apply retroactively to data nobody configured it to track from the start.

Its capture also depends on instrumentation that can miss dynamic changes, so single-page apps, route changes without a URL update, and modal windows often need manual configuration to track correctly. Some users report data accuracy issues and longer integration timelines

If a simpler, less fragmented setup matters more than an all-in-one suite, check out our guide for options.

Key features:

• Zone-based heatmaps

• Customer journey analysis

• Friction scoring, AI-assisted insights

• Revenue attribution per zone

Pros 

• Wide enterprise adoption and long-standing brand recognition

• Legacy Heap product analytics combined with behavioral data in one suite

• Broad documentation and support resources for common implementation issues

Cons 

• Acquisition-built architecture with inconsistent data models across features

• Manual configuration needed for SPAs, route changes, and modals

• Data accuracy issues and longer integration timelines reported by some users

Pricing  

Contentsquare runs four tiers:

• Free: $0/month

• Growth: $39/month (billed annually)

• Pro: Custom pricing

• Enterprise: Custom pricing

Review 

Contentsquare gives us deep insight into how visitors interact with our website through session replays, heatmaps, and journey analysis. The interface is intuitive and makes it easy to spot usability issues, refine user journeys, and make data-driven decisions. Overall, it helps us improve the customer experience and strengthen our website’s performance.

- Kunal D., Verified G2 Review

3. Glassbox

Best for: Regulated industries requiring compliance-grade behavioral data

Glassbox targets financial services, insurance, and regulated retail, and its ISO 27001 and SOC 2 Type II certifications verify its data handling meets industry security standards. Struggle detection, session replay, and funnel analysis all build on that compliance-grade handling, including an SDK for capturing mobile sessions without hurting app performance.

That focus makes it narrower than Fullstory as a general-purpose enterprise behavioral analytics platform. It's also sales-led, with no public pricing or free plan, so getting an actual quote takes a conversation.

Key features:

• Compliance-grade session replay with audit trail

• Struggle detection

• Native mobile masking

• Funnel analysis and journey mapping

Pros 

• Deep compliance credentials trusted by regulated industries

• Struggle detection that ties friction directly to business impact

• Strong reputation among financial services and insurance customers

Cons 

• Narrower fit outside regulated industries

• No published pricing, requiring a sales conversation for a quote

• No free plan or self-serve trial

Pricing  

Glassbox prices custom quotes based on three factors: the package selected, data retention period, and session volume across web or app. There's no published pricing or free plan, so getting a number requires contacting sales directly.

Review 

Like utilizing Glassbox for its ease of use and intuitive interface, which makes it an essential tool for analysis and investigation. It offers comprehensive session replay capabilities, allowing for detailed tracking of user behavior and interactions on the websites. It also supports deep insights into customer journeys to identify customer issues more effectively.

- Anna Marie C., Verified G2 Rating

4. Quantum Metric

Best for: Enterprise retail and financial services teams quantifying the revenue impact of UX issues

Its anomaly detection surfaces behavioral pattern changes automatically and quantifies what they're costing, giving retail and financial services teams a dollar figure to justify fixes with.

It sits at a similar position and price point to Fullstory in the enterprise market. The trade-off is accessibility: implementation is complex enough that it typically requires dedicated analyst resources, whereas Fullstory's StoryAI is built for self-serve use by non-technical teams.

Key features:

• Session replay and journey analysis

• Automated anomaly detection

• Revenue quantification tied to UX issues

• Funnel analysis

Pros 

• Anomaly detection tied directly to revenue impact

• Strong track record in retail, financial services, and travel

• Real-time monitoring that catches issues as they happen

Cons 

• High implementation complexity, often requiring dedicated analyst support

• Custom, enterprise-scale pricing only

• Steeper learning curve for non-technical teams

Pricing  

Custom quote, based on data volume, seats, retention, and add-ons

Review 

What I like most about Quantum Metric is the ability to clearly see customer journeys and flows end-to-end. It makes it much easier to understand how users actually interact with the site, where they drop off, and what might be causing friction. The session replay feature is particularly useful, as it allows us to view real customer experiences rather than relying on assumptions. This helps our team quickly identify issues, prioritise improvements, and make more data-driven decisions.

- Verified G2 User in Leisure, Travel & Tourism

5. Heap

Best for: Teams wanting retroactive event data without manual tagging

Heap sits closer to behavioral analytics than most product analytics tools. Autocapture records clicks, page views, and form submissions from a single snippet with no upfront event planning, and retroactive analysis lets teams define new events against data they already collected, instead of waiting on future instrumentation.

Since its 2023 acquisition, Heap's future now depends on Contentsquare's product priorities rather than its own. Autocapture removes manual tagging, but it's still client-side and limited to a defined set of interactions, a real shortfall next to Fullcapture's server-side, high-resolution indexing.

Key features:

• Automatic event capture without manual tagging

• Retroactive funnel analysis

• Session replay

• User segmentation and journey analysis

Pros 

• Autocapture with no upfront engineering lift for event tagging

• Retroactive event definition on historical data, not just going forward

• Free tier available for smaller-scale use

Cons 

• Client-side capture that misses some interactions server-side tools catch

• Roadmap now tied to Contentsquare's broader ecosystem post-acquisition

• Paid tiers requiring a sales conversation, with no published enterprise pricing

Pricing  

• Free tier: up to 10,000 monthly sessions, 6 months of history

• Growth, Pro, and Premier: custom quote

Review 

I like that heap is so easy for non-technical team members to be able to create tracking events without the need for any coding knowledge or getting the engineering team involved.

- Milos D., Verified G2 Review

6. Amplitude

Best for: Product teams running event-based funnel and retention analysis

Amplitude is a strong product analytics platform, and its funnel visualization, retention analysis, and cohort comparisons are genuinely good. It's added autocapture and Session Replay in recent years, narrowing some of the distance from dedicated behavioral analytics platforms.

Insight quality still depends heavily on instrumentation and data governance. Teams commonly report that messy event taxonomies and inconsistent naming undermine funnels and segmentation months into using the platform. 

Getting the most out of Amplitude's deeper features, including its AI layer, typically requires dedicated analyst support rather than self-serve use. If dedicated analyst support isn't in the budget, our guide breaks down options built for self-serve teams.

Key features:

• Event-based funnel analysis

• Retention and cohort reporting

• Autocapture and Session Replay

• A/B testing and feature flag integration

• Custom dashboards and data warehouse connectivity

Pros 

• High-quality funnel, cohort, and retention analysis

• Autocapture and Session Replay reducing manual instrumentation needs

• Strong experimentation and feature-flagging tools built in

Cons 

• Insight quality dependent on a clean, consistent event taxonomy

• Advanced features and AI capabilities requiring dedicated analyst support

• Steeper learning curve for teams without a dedicated data function

Pricing  

• Free (Starter): up to 10,000 monthly tracked users, 2 million events/month

• Plus, Growth, Enterprise: custom, sales-led pricing at higher tiers

Review 

I appreciate Amplitude Analytics' easy-to-use UI, which allows non-technical teams like design and product to access data without relying on us. The segment and funnel charts are a lifesaver for monitoring and analysis, and I find the ability to download data from a chart very helpful. I value the real-time connectivity and data flow because it's easy to integrate and ensures that events are tracked in real time, which helps reduce the turnaround time for anomaly detection. The initial setup was very easy, and we didn't face much trouble setting it up.

- Haider A., Verified G2 Review

7. Mixpanel

Best for: Self-serve product teams running event-based analytics

Mixpanel is a product analytics platform that centers on event tracking, funnels, and retention analysis. It's added autocapture and native session replay in recent years, bringing in more behavioral context without full manual instrumentation.

Its core strength is still event-based analysis: cohort building, retention charts, and self-serve funnel work that non-technical teams can run without much setup. It's a solid complement to a full behavioral analytics platform, especially for teams that want clean, self-serve reporting without a heavier, more governance-focused setup process.

If an all-in-one web analytics solution is the goal, our Mixpanel alternatives guide breaks down the best fit for that specific need.

Key features:

• Event-based funnel analysis

• Retention and cohort analysis

• Autocapture and native session replay

• Custom dashboards and user segmentation

Pros 

• Autocapture and session replay reducing manual instrumentation lift

• Self-serve setup approachable for non-technical teams

• Strong cohort and retention reporting

Cons 

• Less enterprise governance and schema control than Amplitude

• Pricing that can scale quickly as event volume grows

• Still leaning toward event analysis over full behavioral depth

Pricing  

• Free: $0/month

• Growth: Starting at $0, scales with usage

• Enterprise: Custom pricing

Review 

Instant session replays, error reporting, and AI agent analysis that allows me to gain insight on usage using natural language.

- Jarolin V., Verified G2 Review

8. Pendo

Best for: Product-led growth teams tracking in-app behavior and feature adoption

Pendo automatically tracks clicks, page views, and custom events without manual instrumentation, and layers in session replay across web, iOS, and Android at its Core tier and above. What sets it apart is: in-app guides, onboarding flows, and feature adoption tracking that tie directly into that behavioral data.

That focus makes it a strong fit for SaaS teams running product-led growth motions, but it functions primarily as an adoption and guidance platform with analytics attached.

Key features:

• Automatic event tracking with no manual instrumentation

• In-app guides and onboarding flows

• Session replay (Core tier and above)

• NPS and user feedback collection

• Product analytics dashboards

Pros 

• Automatic tracking with no upfront instrumentation work

• In-app guides tied directly into behavioral and adoption data

• Strong fit for teams running product-led growth motions

Cons 

• Session replay gated behind a paid tier

• Built primarily around adoption and guidance, not general enterprise behavioral analytics

• Pricing that can scale quickly with MAU volume and add-ons

Pricing  

• Free: $0/month

• Base: Custom pricing

• Core: Custom pricing

• Ultimate: Custom pricing

Review 

I use Pendo to check customer satisfaction scores and draw insights from them, which I find quite useful. It's great for seeing the way users engage with our platform easily and helps me analyze how users interact with the product, including the percentage of users accessing certain parts. I also use Pendo as an intercept tool for surveys, which is handy. Additionally, Pendo has really helped with onboarding by directing us to specific bottlenecks and reducing friction.

- Gonzalo M. G., Verified G2 Review

9. LogRocket

Best for: Engineering teams debugging frontend errors and performance issues

While Fullstory targets product and UX teams, LogRocket skews toward engineering. It captures console logs, network requests, and Redux/Vuex state changes alongside session replay, so a developer can reproduce a bug exactly instead of guessing from a support ticket.

Behavioral data is part of the platform, but debugging is still the core use case rather than understanding user experience at scale. 

LogRocket's Galileo AI ranks issues by severity across sessions, giving engineering teams a prioritized list instead of a flat feed of bugs. Funnel analysis, cohort data, and Galileo itself all sit behind higher-priced tiers. Overall, the platform leans more technical than what product managers or CX leaders typically need for self-serve behavioral insight.

Key features:

• Frontend error monitoring

• Session replay with full DOM, network, and console context

• Redux/Vuex state capture

• Galileo AI issue prioritization and severity scoring

Pros 

• Deep technical context for reproducing and fixing bugs

• Galileo AI ranking issues by real user impact

• Strong fit for engineering-led debugging workflows

Cons 

• Funnels, cohorts, and Galileo AI gated behind higher-priced tiers

• More technical than most product or CX teams need for self-serve use

• Primarily built around debugging, not broad behavioral analysis

Pricing  

• Team: starting around $69 to $99/month

• Professional: starting around $295/month

• Enterprise: custom pricing

Review 

I use the session replay and the network usage constantly. I'm a software developer, and so this really helps me debug my software. It's really useful to see the user details and scrub through the times and see how they interacted with the app. Usually a customer reports an issue, and then I have their email. I immediately go to log rocket and type in their email and then pull up their relevant session.

- Alexander F., Verified G2 Review

10. PostHog

Best for: Developer-first teams wanting open-source analytics with full data ownership

PostHog is open-source and self-hostable, with usage-based pricing that stays transparent as long as a team is willing to model its own event volume. It combines product analytics, session replay, feature flags, A/B testing, and surveys in one platform, saving engineering teams from stitching several tools together themselves.

That flexibility comes with tradeoffs: self-hosting needs dedicated DevOps, and even cloud usage rewards careful instrumentation. PostHog fits technical teams and startups wanting infrastructure control, but a lighter feature set and steep learning curve limit its scale for non-technical teams or fixed-price procurement.

Key features:

• Open-source with self-hosting option

• Product analytics and web analytics

• Feature flags, A/B testing, and surveys

• Session replay and event capture

Pros 

• Full data ownership with self-hosting available

• Transparent, usage-based pricing with a generous free tier

• Multiple tools (analytics, flags, experiments) combined in one platform

Cons 

• Dedicated DevOps resources required for self-hosting

• Steep learning curve for non-technical teams

• Usage-based pricing that's hard to predict at scale

Pricing  

• Free: $0/month, generous usage limits

• Pay-as-you-go: Usage-based, starting near $0

• Enterprise: Starting around $2,000/month base fee, plus usage

Review 

What I like most about PostHog is the level of visibility it gives us into real user behavior, while still staying very developer-friendly.

Session recordings, funnels, feature flags, and the event exploration tools are especially valuable. They make it straightforward to debug issues, validate experiments, and see how users interact with new features, without needing a massive analytics setup.

- Natanael G., Verified G2 Reviews

11. Google Analytics

Best for: Baseline traffic and audience reporting

Google Analytics is the default starting point for most analytics stacks. Broad adoption, a free tier, and deep integration with the rest of the Google ecosystem make it an easy first install. Its real-time report shows active users, top pages, and traffic sources almost instantly, letting a team catch a traffic spike or broken page as it happens.

Standard reports lag 24 to 48 hours before data fully settles. And regardless of speed, Google Analytics 4 (GA4) has a clear ceiling: it shows what's happening, not why, with no friction detection or behavioral depth. It works best as the traffic layer, paired with a behavioral analytics platform for deeper insight.

Key features:

• Traffic and audience reporting

• Near-instant real-time active user dashboard

• Goal and conversion tracking

• Google Ads integration

Pros 

• Free tier with broad adoption and easy setup

• Deep integration with Google Ads and the wider Google ecosystem

• Near-instant visibility into active users and traffic sources

Cons 

• Standard reports lagging 24 to 48 hours before data fully settles

• No behavioral depth or friction detection, traffic-level only

• Requires a paired behavioral analytics tool to explain the "why"

Pricing  

• Free: $0/month

• Google Analytics 360 (enterprise): Custom pricing

Review 

Google Analytics has been the standard for free website analytics for the 2+ decades I've been in the industry. It has changed quite a bit over that time but it has always provided powerful analytical tools at no cost to the user.

- Lindsey M., Verified G2 Review

12. Adobe Analytics

Best for: Enterprise marketing teams running multi-channel attribution and traffic analysis

Adobe Analytics is an enterprise web analytics tool and attribution platform, strong for marketing teams managing complex multi-channel measurement. It captures traffic, conversion, and attribution data well, but stops short of explaining why users behave the way they do on a page or in a product.

Implementation costs run high: full deployments commonly cost $20,000 to $100,000-plus through implementation partners, on top of licensing. It fits teams already using Adobe Experience Cloud, where attribution data connects directly to Target, Campaign, and Experience Manager.

Key features:

• Traffic and conversion reporting

• Multi-channel attribution modeling

• Audience segmentation

• Adobe Experience Cloud integrations

Pros 

• Deep attribution across complex, multi-channel marketing programs

• Tight integration with Adobe Experience Cloud (Target, Campaign, Experience Manager)

• Enterprise-grade scale for high-traffic properties

Cons 

• High implementation cost and complexity, often $20,000–$100,000+ for deployment

• Specialist support typically required to get full value

• No behavioral depth, traffic and attribution focused only

Pricing  

Custom pricing only, commonly starting around $48,000+ annually for enterprise implementations

Review 

I like the many different visualizations in Adobe Analytics that help tell the story we're looking for. Building custom metrics to filter and dice KPIs in various ways is great too. It makes it easy to find issues or anomalies, and the interface is easy to use. Depending on the use case, we use a fallout for general funnel understanding or Freeform to get a deeper understanding. The flow visualization is interesting to see how members are getting places and where they are going. I also like the breakthrough at fallout or fall through. It's also easy to add new tags and eVars to build upon what we have.

- Talia I., Verified G2 Review

13. Hotjar

Best for: Entry-level heatmaps and qualitative user feedback

Hotjar's heatmaps, session recordings, and surveys are now live inside Contentsquare, following a merger completed in July 2025. Hotjar still serves as the entry point to that ecosystem: a lighter, cheaper way to access heatmaps and recordings before stepping up to Contentsquare's full behavioral analytics suite.

Hotjar's Sense AI surfaces friction points and summaries at the Growth tier and up, but it's still built for directional feedback, not enterprise depth. Lower tiers sample sessions instead of capturing everything, with no native mobile app.

Key features:

• Heatmaps and session recordings

• User surveys and feedback polls

• Funnel analysis

• Sense AI friction detection (Growth tier and above)

Pros 

• Low-cost entry point into behavioral analytics

• Genuinely free tier with a generous session allowance

• Simple setup for basic heatmaps and recordings

Cons 

• Lower tiers sampling sessions instead of capturing all traffic

• No native mobile app

• Migration into Contentsquare's ecosystem and pricing required to grow past entry-level

Pricing  

• Free: $0/month

• Growth: Starting around $49/month

• Pro: Custom pricing

• Enterprise: Custom pricing

Review 

What I like most about Hotjar is that it really allows me to understand my users. I see exactly where they get stuck, what catches their attention, and where they drop off. It transforms abstract behaviors into concrete and actionable insights. The tool is very easy to use.

- Verified G2 User in Information Technology and Services

14. Matomo (formerly Piwik)

Best for: Teams requiring self-hosted, privacy-first analytics with full data ownership

Matomo is a widely used open-source web analytics platform. It's free to self-host, with all data staying on your own servers, making it a common choice for teams with strict data residency requirements. Core traffic analytics, visitor behavior, and real-time updates come free; heatmaps, session recordings, and funnels are premium add-ons on self-hosted installs, or bundled into Matomo Cloud.

Self-hosting demands installation, server management, and ongoing maintenance, not a self-serve option for non-technical teams. Matomo is a solid choice for teams that can't use cloud-hosted platforms due to regulatory constraints, but it's not a replacement for the behavioral depth an enterprise platform provides out of the box.

Key features:

• Self-hosted or cloud-hosted option

• Visitor behavior analysis and real-time data

• Heatmaps and session recording (premium add-ons)

• Privacy compliance controls (GDPR, CCPA)

Pros 

• Full data ownership with self-hosting

• Free core analytics with no per-event billing on self-hosted installs

• Strong privacy and compliance controls out of the box

Cons 

• Extra cost for heatmaps, session recordings, and funnels on self-hosted installs

• Technical expertise required to install and maintain

• Smaller ecosystem and less behavioral depth than enterprise platforms

Pricing  

Matomo offers two hosted tiers:

• Business: Starting around $26/month for 50,000 hits, scaling with traffic.

• Enterprise: Custom pricing

Plus a free, self-hosted On-Premise option with core analytics, where heatmaps, session recordings, and other advanced features are separate paid add-ons.

Review 

It’s very easy to sort through and view data. It feels like a big improvement over other data collection platforms, especially with the ability to customise reports and customer journeys in a straightforward way.

- Michael B., Verified G2 Review

15. Datadog

Best for: Engineering teams unifying digital experience monitoring with infrastructure observability

Datadog is primarily a monitoring and observability platform; real user monitoring and session replay exist inside it as a complement, not the core product. It's a strong fit for engineering teams that want frontend, backend, and user experience data in one place.

Datadog's RUM has added heatmaps and rage-click detection alongside session replay, closing some of that behavioral distance. But it still lacks the AI-powered behavioral insights and full capture fidelity of a dedicated behavioral analytics platform, and pricing is volume-based per session, which can get expensive fast for high-traffic or highly interactive apps. Teams evaluating Datadog for behavioral analytics usually do better by pairing it with a dedicated platform than replacing one.

Key features:

• Real user monitoring (RUM)

• Session replay with rage-click detection and heatmaps

• APM and infrastructure monitoring

• Log management and synthetic monitoring

Pros 

• Frontend, backend, and infrastructure observability unified in one platform

• Session replay now including heatmaps and friction signals

• Strong fit for engineering-led, full-stack monitoring

Cons 

• Behavioral analytics secondary to its core observability focus

• No AI-powered behavioral insights comparable to a dedicated platform

• Volume-based session pricing that can scale quickly with traffic

Pricing  

• Free: $0/month

• Pro: Starting around $15/host/month

• Enterprise: Starting around $23/host/month

• RUM & Session Replay: Priced separately, starting around $1.50–$1.80 per 1,000 sessions/month

Review 

I like how easy datadog is to integrate with existing systems. Once set up it provides an incredibly useful view into the status and state of application health. It's dashboards are very easy to create and are a valuable method for gathering key information all in one place.

- Gunther C., Verified G2 Review

How to evaluate web analytics services

A few questions worth asking before choosing:

• How does the platform capture data? Manual instrumentation, autocapture, or high-resolution behavioral capture all lead to different outcomes, and the answer determines what your AI can actually work with.

• Can you answer questions retroactively? If a platform can't analyze behavior from before you thought to track it, you lose access to that context permanently.

• What dataset powers the AI layer? A full behavioral record produces different insights than one built on predefined metrics alone.

• Does mobile behavioral depth match web? Ask for a direct demo of mobile capture and masking rather than a general compliance claim.

• What's the total cost of ownership beyond licensing? Implementation time, instrumentation maintenance, professional services, and engineering overhead all affect the real cost.

• Can a product manager or CX leader reach a meaningful insight without filing a ticket? Self-serve access changes how fast a team can act on what it finds.

• Can behavioral data move to your warehouse, CRM, or marketing tools? Data that stays siloed limits what the rest of the business can do with it.

Find the behavioral layer your analytics stack is missing

Analytics without behavioral depth leaves friction undetected and revenue bleeding from checkout flows. Adding more disconnected tools doesn't solve that, it just means paying for more dashboards without getting any closer to an answer.

Fullstory helps you find those answers, using a single script and one data model to automatically index every interaction. StoryAI draws on that same data to surface friction points and answer plain-language questions without an analyst in the loop. Fullstory gives your team everything in one platform, so you stay focused on finding the solution, not managing tools.

See Fullstory in action.

Try it out ➜