Conversion rate optimization tools fall into two distinct categories that solve different problems. Behavior analytics platforms (Hotjar, Microsoft Clarity) show you what visitors are doing on your site through heatmaps, session recordings, and funnel analysis. Experimentation platforms (VWO, Optimizely) let you test whether a proposed change actually improves conversion rate before rolling it out. Many teams assume they need both immediately; in practice, most B2B teams should start with behavior analytics to diagnose where visitors are dropping off before they have a hypothesis worth testing. The right tool depends on where you are in that diagnostic process, what your traffic volume supports, and how much engineering bandwidth a testing program requires from your team.
Conversion rate optimization tools compared
The five platforms below cover the range from free behavior analytics to enterprise experimentation. Pricing reflects publicly available figures at time of writing; annual billing assumed unless noted.
| Tool | G2 Rating | Starting Price | Primary Use Case | Best For |
|---|---|---|---|---|
| Microsoft Clarity | 4.5/5 on G2 | Free | Heatmaps, session recordings | Teams wanting behavior analytics at no cost |
| Hotjar | 4.3/5 on G2 | Free; Plus from $32/mo | Heatmaps, recordings, surveys | Teams that need behavior analytics plus user feedback in one tool |
| Crazy Egg | 4.2/5 on G2 | Basic from $49/mo | Heatmaps, A/B testing, session recordings | Teams that want heatmaps and simple A/B testing without enterprise pricing |
| VWO | 4.3/5 on G2 | Starter free; Growth from $314/mo | A/B testing, multivariate testing, heatmaps | Teams running structured testing programs with more than one experiment per month |
| Optimizely | 4.2/5 on G2 | Quote-only; typically $50K+/year | Enterprise A/B and multivariate testing, personalization, feature flags | Enterprise teams running continuous experimentation across web and product |
Microsoft Clarity
Microsoft Clarity is a free behavior analytics tool that records sessions, generates heatmaps, and flags specific engagement signals (rage clicks, dead clicks, excessive scrolling) without any session cap or sampling. Unlike most free tiers in this category, Clarity does not limit the number of sessions it records or degrade after a usage threshold. The trade-off is that Clarity has no A/B testing capability, no user survey feature, and no funnel analysis beyond basic page flow. It is a diagnostic tool only.
For B2B marketing teams that want to understand what visitors do on landing pages, blog posts, and demo request flows without paying for a tool, Clarity is the clearest starting point. The Microsoft integration with Bing Webmaster Tools and Azure also provides some SEO and traffic context that Hotjar's standalone product does not. Clarity rates 4.5 out of 5 on G2, with praise for the free tier and the quality of session replay, and criticism of limited filter options and the absence of funnel-building features.
Hotjar
Hotjar combines heatmaps, session recordings, and on-page surveys in a single platform. The heatmap suite covers click maps, scroll maps, and move maps. Session recordings capture individual visitor interactions with playback filtering by device, traffic source, and behavior signals (rage clicks, u-turns). The survey and feedback widget features let teams collect qualitative data from visitors without routing them off-site to a separate survey tool.
Hotjar's free plan includes up to 35 daily sessions recorded and basic heatmaps. The Plus plan ($32/month) raises the daily session cap to 100 and adds additional filters. Business plans start at $80/month and increase session capture limits and add advanced filtering. Hotjar does not include A/B testing at any tier; it is a behavior analytics and feedback platform, not an experimentation tool. Hotjar rates 4.3 out of 5 across more than 1,100 reviews on G2, with strong marks for ease of setup and session replay quality, and consistent notes about session limits on lower tiers being restrictive for higher-traffic sites.
Compared to Microsoft Clarity, Hotjar adds the survey and feedback layer, which matters if qualitative data from visitors is part of the diagnostic workflow. Clarity adds no cost, no session caps, and deeper integration with Microsoft's tooling. For most B2B teams starting out, the choice between them is whether user feedback collection is a priority from day one.
Crazy Egg
Crazy Egg covers heatmaps, session recordings, and A/B testing in one platform at a lower price point than VWO. The heatmap tool includes a scroll map and confetti map (click source visualization) that show not just where users click but which traffic segments are driving those clicks. The A/B testing tool uses a visual editor (no code required for simple tests) and supports redirect tests for comparing separate pages.
Pricing starts at $49/month for the Basic plan (30,000 pageviews, 1 snapshot, 25 recordings). Standard is $99/month and Plus is $249/month, with higher pageview caps and recording limits. The visual A/B test editor is accessible to non-engineers, which makes Crazy Egg a reasonable option for teams that want to run simple tests (button text, headline copy, CTA placement) without a front-end engineering dependency. Crazy Egg rates 4.2 out of 5 on G2, with consistent praise for the snapshot and scroll map features and consistent criticism of limited reporting depth compared to VWO and Optimizely.
VWO (Visual Website Optimizer)
VWO is a testing platform that covers A/B testing, multivariate testing, split URL testing, and server-side testing alongside behavior analytics (heatmaps, session recordings, funnel analysis). The platform is organized around experimentation programs rather than one-off tests: it includes a hypothesis library, a test scheduling workflow, and statistical significance reporting that supports both frequentist and Bayesian analysis methods.
VWO's Starter plan is free and includes up to 50,000 tracked users per month with limited features. The Growth plan starts at $314/month and includes the full A/B testing feature set and heatmaps. Enterprise pricing is custom. VWO's testing infrastructure includes WYSIWYG editing for no-code tests and a code editor for tests that require custom JavaScript. Server-side testing (for testing features in the application layer rather than the front end) is available on higher tiers. VWO rates 4.3 out of 5 on G2 across more than 375 reviews, with strong scores for the breadth of testing features and quality of statistical reporting, and notes about the pricing jump from the free tier to Growth being significant for smaller teams.
For B2B teams that have diagnosed their conversion problems through behavior analytics and are ready to run structured tests, VWO provides the most complete testing feature set at a mid-market price point. It is the natural step up from Crazy Egg for teams whose testing cadence has outgrown simple A/B tests.
Optimizely
Optimizely is the standard platform for enterprise experimentation programs. The platform covers web A/B testing, multivariate testing, personalization, feature flagging, and server-side experimentation across web and mobile. In 2022, Optimizely was acquired by Episerver and rebranded to include a broader content management and digital experience platform, though its core experimentation product remains the focus for most marketing and product teams using it.
Optimizely no longer publishes pricing. Based on publicly available information and reviewer comments on G2, annual contracts typically run from $50,000 to over $200,000 depending on traffic volume and feature set. This positions Optimizely above VWO and Crazy Egg for teams whose experimentation program is a dedicated function with engineering resources allocated to it. Optimizely rates 4.2 out of 5 on G2 across more than 350 reviews, with consistent praise for the depth of statistical controls and feature flag infrastructure, and consistent criticism of pricing complexity and the onboarding process for new teams.
The practical case for Optimizely over VWO is experimentation at scale: if a team is running 20 or more concurrent tests across web and product, the statistical infrastructure, governance features, and developer SDK depth of Optimizely becomes relevant in ways it is not for teams running 2-3 tests per month.
How to choose a conversion rate optimization tool
The first question is whether the immediate need is diagnosing a conversion problem or testing a fix. If a team does not yet know where visitors are dropping off or which elements on a page are causing friction, behavior analytics come first. Microsoft Clarity (free) or Hotjar (free to $32/month) provide the heatmaps and session recordings needed to form a testing hypothesis. Starting with an A/B testing tool before identifying what to test inverts the process and produces tests that are harder to interpret.
The second question is traffic volume. A/B testing requires sufficient traffic to reach statistical significance within a reasonable test window. A page receiving fewer than 1,000 visitors per month will need six months or more to detect a meaningful conversion rate difference on most tests, making experimentation impractical. For lower-traffic B2B sites, heatmaps and session recordings typically produce more actionable insight per unit of time than testing programs.
The third question is engineering dependency. Crazy Egg and VWO's WYSIWYG editors allow non-engineers to build and run simple front-end tests independently. Tests involving application logic, server-side rendering, or multi-page flows require developer involvement on any platform. If your testing roadmap includes product experiments (pricing page variants, checkout flow changes, in-app onboarding sequences), server-side testing capabilities in VWO or Optimizely become necessary rather than optional.
For most B2B marketing teams: start with Microsoft Clarity to establish a behavioral baseline at no cost, layer in Hotjar if user surveys are a priority, and graduate to VWO when the testing program exceeds two or three tests per month and the Crazy Egg feature set feels limiting. Optimizely is appropriate when experimentation becomes a dedicated function with engineering resources assigned to it and a program running continuously across web and product.
CRO tools address what happens after a visitor lands. For context on the upstream channels driving those visitors, see our comparison of marketing attribution tools and our overview of the best B2B sales tools for 2026.
FAQ
What are conversion rate optimization tools?
Conversion rate optimization tools are software platforms that help teams understand why visitors to their website are not completing target actions (form fills, demo requests, free trial signups) and test changes to improve those rates. The category divides into behavior analytics tools (heatmaps, session recordings, funnel analysis) and experimentation platforms (A/B testing, multivariate testing). Behavior analytics tools diagnose where visitors drop off; experimentation platforms test whether a proposed fix actually moves conversion rate before rolling it out site-wide.
What is the best CRO tool for B2B?
For most B2B teams starting with CRO, Hotjar or Microsoft Clarity are the right starting points: both provide heatmaps, session recordings, and funnel analysis, and Clarity is free with no session limits. If A/B testing is the primary need, VWO is the most accessible option with visual editing and a free starter plan. Optimizely is the standard for enterprise teams running continuous experimentation at scale, but its pricing makes it unsuitable for most mid-market teams. The right choice depends on whether the immediate need is diagnosing the problem (behavior analytics) or testing a fix (experimentation).
What is a good conversion rate for a B2B website?
B2B website conversion rates vary by page type and traffic source. For general lead generation pages, a 1-3% visitor-to-lead conversion rate is typical across organic and paid traffic combined. High-intent pages such as demo request pages and pricing pages reached from paid search tend to convert at 2-5%. These figures are averages and vary significantly by industry, offer, and traffic quality. Benchmark your pages against their own historical performance rather than broad industry averages, which are often based on mixed traffic sources that are not directly comparable to your situation.
Do I need both a heatmap tool and an A/B testing tool?
Not necessarily, and not at the same time. If you do not yet know where your conversion problems are, a behavior analytics tool should come first. Heatmaps, session recordings, and funnel analysis tell you where visitors are dropping off and what they are engaging with. Once you have a clear hypothesis for what to change, an A/B testing tool validates that the change improves conversion before committing to it. Many teams use both; VWO includes heatmaps alongside A/B testing, which can reduce the number of separate platforms needed once testing becomes a regular part of the workflow.