AI-powered landing page analysis platform that identifies conversion bottlenecks, evaluates user experience patterns, and delivers data-driven optimization recommendations to increase conversion rates across your entire funnel.
Optimizing landing pages for leading brands
MARLOWE analyzes every element of your landing pages using advanced computer vision, behavioral psychology principles, and data from millions of high-converting pages to deliver actionable optimization insights.
Automatically crawl and catalog all landing pages across your digital properties, identifying each page's purpose, traffic sources, and current performance metrics. The system maintains a comprehensive inventory of every landing page variant, tracking changes over time and monitoring performance trends to establish baseline conversion rates and identify optimization opportunities.
Continuously monitor landing page performance with real-time analytics that track visitor behavior, conversion events, and engagement patterns. The platform processes millions of data points per second, identifying anomalies, tracking conversion rate fluctuations, and alerting you to sudden performance changes that may indicate technical issues or emerging optimization opportunities requiring immediate attention.
Leverage data-driven insights to systematically improve every element of your landing pages. The platform generates specific recommendations for headline optimization, call-to-action placement, form field reduction, trust signal integration, and visual hierarchy improvements. Each suggestion is prioritized by expected conversion impact and implementation complexity, creating a clear roadmap from quick wins to comprehensive page redesigns.
Every landing page undergoes comprehensive evaluation across twelve critical dimensions, each analyzed using specialized algorithms trained on conversion optimization best practices from millions of high-performing pages.
The system evaluates whether your value proposition is immediately clear to visitors within the first three seconds of page load. Using natural language processing, it analyzes headline clarity, benefit articulation, and unique selling proposition strength. The AI identifies vague language, jargon overuse, and unclear messaging that may confuse visitors. It measures message-match quality between ad copy and landing page content, ensuring consistency across the conversion funnel. Recommendations include rewriting value propositions for maximum clarity, emphasizing specific benefits over generic features, and positioning your offering against competitor alternatives with compelling differentiation.
Headlines are analyzed using psychological frameworks that measure attention-grabbing power, emotional resonance, and conversion potential. The platform evaluates headline length, readability, specificity, and alignment with visitor intent. It identifies weak hooks that fail to engage visitors and suggests powerful alternatives based on proven copywriting formulas: curiosity gaps, specific outcomes, urgency creation, and problem-solution framing. The system tests headlines against thousands of high-converting examples in your industry, providing data-backed suggestions that improve click-through rates from ads and reduce bounce rates by immediately capturing visitor attention.
Computer vision algorithms analyze CTA button placement, size, color contrast, and visual prominence within the page layout. The system identifies CTAs that are buried below the fold, lack sufficient whitespace, or blend into the background due to poor color contrast. It evaluates CTA copy for clarity and action orientation, flagging weak phrases like "Submit" or "Click Here" and suggesting powerful alternatives like "Get My Free Analysis" or "Start Increasing Conversions Now." The platform measures the number of clicks required to complete conversion actions, identifying friction points where visitors abandon the process.
Every form is analyzed for length, field necessity, label clarity, and mobile optimization. The system calculates form abandonment risk based on the number of fields, identifying unnecessary fields that increase friction without adding value. It evaluates whether fields are properly labeled, whether placeholder text is used correctly, and whether error messages provide clear guidance. The platform tests forms against industry benchmarks, determining optimal field count for your conversion goals. For high-intent pages, it may recommend more fields to qualify leads; for top-of-funnel pages, it suggests minimal friction with progressive profiling strategies that collect information gradually across multiple touchpoints.
Using eye-tracking research and heat map pattern analysis, the platform predicts where visitors' attention will naturally flow when they land on your page. It identifies elements that compete for attention, diluting focus from primary conversion goals. The system evaluates whether the most important elements—value proposition, key benefits, and calls-to-action—receive appropriate visual weight through size, positioning, color, and contrast. Recommendations include restructuring page layouts to guide attention intentionally, using directional cues like arrows and faces to point toward CTAs, and removing distracting elements that fragment visitor focus.
The platform evaluates the presence, placement, and effectiveness of trust-building elements throughout your landing page. It identifies missing trust signals like security badges, privacy policies, money-back guarantees, and industry certifications that reduce perceived risk. The system analyzes social proof elements including customer testimonials, case studies, review scores, client logos, and usage statistics, determining whether they're positioned optimally to address visitor objections. Recommendations include adding specific testimonials that address common concerns, displaying relevant certifications near conversion points, and showcasing quantifiable results that build credibility.
With mobile traffic often exceeding 60% of total visitors, the platform conducts comprehensive mobile experience audits. It tests pages across multiple device sizes and orientations, identifying layout breaks, text that's too small to read, buttons too close together for accurate tapping, and horizontal scrolling issues. The system evaluates mobile-specific conversion barriers like forms that trigger incorrect keyboard types, phone number fields that don't allow click-to-call, and CTAs positioned where thumbs can't easily reach. Recommendations include mobile-first design principles, touch-target optimization, and simplified mobile navigation.
Performance analysis identifies every element contributing to slow load times, including oversized images, render-blocking JavaScript, inefficient CSS, third-party scripts, and server response delays. The platform measures Core Web Vitals—Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift—providing specific remediation steps to improve each metric. It identifies resources that should be lazy-loaded, images that need compression, and scripts that should be deferred or removed entirely. Since every 100ms of delay can reduce conversion rates by up to 7%, performance optimization often delivers the fastest ROI.
The system maps the entire conversion journey from landing to completion, identifying every point of friction that causes visitor abandonment. It tracks navigation complexity, number of clicks required to convert, page transitions, loading states, and confirmation processes. The platform identifies unnecessary steps that add friction without adding value, recommends streamlining multi-step processes, and suggests removing optional diversions that lead visitors away from conversion goals. Funnel visualization shows exactly where visitors drop off, with specific recommendations to reduce abandonment at each stage.
Visitors scan rather than read, so the platform evaluates whether content is structured for rapid comprehension. It analyzes paragraph length, sentence complexity, use of bullet points and numbered lists, heading hierarchy, and whitespace distribution. The system calculates readability scores using multiple frameworks, identifying content that's too complex for your target audience. Recommendations include breaking long paragraphs into scannable chunks, using subheadings to segment information, highlighting key benefits with visual formatting, and removing unnecessary words that dilute your message.
The platform audits pages against WCAG 2.1 guidelines, identifying accessibility issues that not only exclude visitors with disabilities but often indicate broader usability problems. It checks color contrast ratios, keyboard navigation support, screen reader compatibility, form label associations, alternative text for images, and semantic HTML structure. Beyond compliance, accessibility improvements often benefit all users: higher contrast improves readability in bright conditions, keyboard navigation helps power users, and clear labels reduce confusion for everyone.
While optimizing for conversions, the platform ensures recommendations don't harm search visibility. It evaluates title tags, meta descriptions, heading structure, internal linking, image optimization, and schema markup. The system identifies opportunities to improve organic rankings while maintaining conversion focus, ensuring that increased traffic from search engines encounters optimized landing experiences. Recommendations balance SEO best practices with conversion optimization, creating pages that both rank well and convert effectively.
MARLOWE's computer vision engine processes landing pages like human visitors do, analyzing visual hierarchy, attention patterns, and layout effectiveness. The system identifies which elements naturally draw the eye, which areas are overlooked, and how visual design influences conversion behavior.
Generate predicted heat maps showing where visitors are most likely to look and click based on visual design patterns, color contrast, element positioning, and size. The system identifies hot zones that attract attention and cold zones where important elements may be overlooked, providing specific recommendations to relocate critical conversion elements into high-attention areas.
Visualize the natural path visitor eyes follow across your page, from initial landing point through key messages to conversion actions. The analysis identifies whether attention flows logically toward conversion goals or gets distracted by competing elements. Recommendations restructure layouts to create intentional attention paths that guide visitors smoothly toward desired actions.
Automatically identify and classify every element on your page: headlines, body copy, images, CTAs, forms, navigation, trust badges, and more. The system evaluates each element's purpose, positioning, and contribution to conversion goals, identifying redundant elements that should be removed and missing elements that should be added to improve conversion performance.
Every issue identified comes with specific, prioritized recommendations you can implement immediately to improve conversion rates.
The platform generates multiple headline variations based on proven copywriting frameworks: benefit-driven headlines that emphasize outcomes, curiosity-driven headlines that create information gaps, specificity-driven headlines that use concrete numbers and results, and urgency-driven headlines that create fear of missing out. Each variation is scored for predicted conversion impact using machine learning models trained on millions of A/B test results.
Computer vision analysis identifies CTAs that are buried below the fold, hidden in low-attention zones, or competing with other page elements. The system recommends specific repositioning strategies: moving primary CTAs above the fold for immediate visibility, increasing button size to improve prominence, using contrasting colors to stand out from backgrounds, adding directional cues that guide attention to buttons, and removing competing elements that dilute CTA focus.
Analysis shows that every additional form field reduces conversion rates by an average of 11%. The platform identifies which fields are absolutely necessary for lead qualification and which can be eliminated or moved to post-conversion nurturing. Recommendations include reducing form fields to the minimum viable set, using progressive profiling to collect information over time, implementing smart defaults to reduce input effort, and providing clear value exchanges that justify information requests.
The platform identifies missing trust elements that are proven to reduce visitor anxiety and increase conversions. Recommendations include adding security badges near payment or personal information collection points, displaying relevant industry certifications and compliance logos, showcasing customer testimonials that address specific objections, highlighting money-back guarantees or risk-reversal offers, and including recognizable client logos that build credibility through association.
Eye-tracking predictions reveal whether important elements receive appropriate visual weight. The platform recommends specific design changes to guide attention intentionally: increasing headline size and font weight to establish clear information hierarchy, using color contrast to make CTAs stand out, implementing whitespace strategically to separate and emphasize key sections, and removing visual clutter that fragments attention across too many competing elements.
Speed improvements often deliver the fastest conversion increases with minimal effort. The platform identifies images that can be compressed without quality loss, JavaScript files that can be minified or deferred, CSS that can be optimized, third-party scripts that can be loaded asynchronously, and server configurations that can be tuned for faster response times. Each recommendation includes expected load time improvement and estimated conversion impact.
MARLOWE doesn't just identify problems—it generates complete A/B test hypotheses with prioritized variations, success metrics, and statistical significance requirements. Each test is designed to validate specific optimization theories and deliver measurable conversion improvements.
Every test hypothesis is scored by expected conversion impact, implementation complexity, and statistical confidence requirements. High-impact, low-effort tests are prioritized for immediate implementation, while complex tests are sequenced appropriately to build on earlier learnings and avoid interference between concurrent experiments.
The platform creates complete test variations for every hypothesis, including alternative headlines, rewritten copy, repositioned elements, and redesigned layouts. Each variation is based on conversion psychology principles like reciprocity, social proof, authority, scarcity, and commitment, ensuring tests are grounded in behavioral science rather than aesthetic preferences.
Each test includes clearly defined success metrics, statistical significance thresholds, minimum detectable effect sizes, and recommended sample sizes. The platform calculates how long tests need to run to reach valid conclusions, preventing premature declarations of winners and ensuring optimization decisions are based on statistically sound data.
For pages with sufficient traffic, the platform recommends multivariate tests that simultaneously evaluate multiple elements: headlines, images, CTAs, and form lengths. The system identifies which combinations deliver the best results and detects interaction effects where certain elements work better together than independently, revealing optimization insights that simple A/B tests would miss.
Go beyond basic page analysis with sophisticated features that provide deep behavioral insights and predictive optimization intelligence.
Watch exactly how real visitors interact with your landing pages through session replay technology. The platform records mouse movements, clicks, scrolls, form interactions, and rage clicks, identifying usability issues that pure analytics miss. Advanced filtering helps you focus on high-value sessions: converters vs. non-converters, mobile vs. desktop, first-time vs. returning visitors. Pattern recognition algorithms identify common behaviors across thousands of sessions, surfacing systemic issues that affect conversion rates at scale.
Map the complete conversion journey from landing to completion with detailed funnel visualizations that show drop-off rates at every stage. The platform identifies where visitors abandon the process, which traffic sources have the highest abandonment rates, and which devices experience the most friction. Cohort analysis reveals how funnel performance varies by visitor segment, traffic source, device type, and time period. Recommendations focus on reducing friction at the highest-impact drop-off points to maximize overall conversion rates.
Different visitor segments respond to different messaging, offers, and page layouts. MARLOWE identifies natural audience segments based on traffic source, geographic location, device type, behavior patterns, and engagement levels. For each segment, the platform recommends personalized experiences optimized for that specific audience: enterprise buyers see ROI calculators and case studies, small businesses see quick setup and affordable pricing, mobile visitors see simplified layouts with click-to-call CTAs. Segmentation turns one generic page into dozens of targeted experiences.
Without requiring actual user testing, MARLOWE generates predicted heat maps showing where visitors are most likely to look, click, and scroll based on visual design analysis and eye-tracking research patterns. The system identifies hot zones that naturally attract attention and cold zones where important elements may be overlooked. Recommendations include repositioning CTAs into high-attention zones, reducing visual clutter in cold zones, and using directional cues like arrows and faces to guide attention toward conversion elements.
Understand how your landing pages compare to competitors and industry leaders. The platform analyzes competitor pages, identifying successful patterns, messaging strategies, design approaches, and conversion tactics you should consider adopting. Competitive analysis reveals gaps in your current approach: trust signals competitors use that you're missing, offers positioned more compellingly, form lengths optimized better for conversion. The system shows you what works in your industry without requiring manual competitive research.
Before implementing changes, see predicted conversion rate improvements based on historical data from similar optimizations. The platform's machine learning models have been trained on millions of A/B tests, learning which types of changes deliver which magnitude of improvements across different industries, traffic sources, and visitor segments. Predictions help prioritize optimization efforts by expected ROI, focusing resources on changes most likely to deliver significant conversion increases rather than cosmetic tweaks with minimal impact.
MARLOWE connects to the tools you already use, pulling performance data from analytics platforms, implementing tests through optimization tools, and tracking conversions through your CRM—creating a unified optimization workflow without disrupting existing processes.
Connect to Google Analytics, Adobe Analytics, Mixpanel, Amplitude, or Heap to automatically import traffic data, conversion metrics, and visitor behavior patterns. The platform syncs continuously, ensuring optimization recommendations are based on the most current performance data and visitor insights available across your analytics stack.
Push test variations directly to Optimizely, VWO, Google Optimize, or AB Tasty for implementation. MARLOWE generates the test hypotheses and variations, then deploys them through your preferred testing platform, monitors results in real-time, and automatically declares winners when statistical significance is reached.
Track conversions through the complete funnel by connecting to Salesforce, HubSpot, Marketo, Pardot, or ActiveCampaign. The platform attributes closed revenue to specific landing page variations, calculating true ROI from optimization efforts and identifying which page improvements drive not just form submissions but qualified pipeline and closed-won deals.
Edit pages directly within Unbounce, Instapage, WordPress, Webflow, or Shopify through native integrations. MARLOWE identifies optimization opportunities, you approve changes, and recommendations are implemented automatically without manual copying and pasting. The platform maintains version history, allows easy rollbacks, and tracks performance of each iteration.
MARLOWE doesn't just list problems—it creates a sequenced implementation plan that prioritizes changes by expected conversion impact and implementation complexity, ensuring you focus on high-ROI improvements first.
Implement high-impact, low-effort changes that deliver immediate conversion improvements without requiring significant development resources or design work.
Test and refine copy across all page elements to maximize persuasiveness and conversion psychology impact.
Restructure page layout to optimize visual hierarchy, attention flow, and conversion funnel efficiency.
Implement audience segmentation and personalized experiences optimized for different visitor types.
Understand how your landing pages perform relative to industry standards and identify opportunities to reach top-quartile conversion rates.
SaaS pages converting above 7% typically feature interactive product demos, clear ROI calculators, strong social proof from recognizable brands, and frictionless trial signup processes with minimal required fields.
High-converting e-commerce pages emphasize product benefits over features, include high-quality lifestyle images showing products in use, display trust badges prominently, offer multiple payment options, and create urgency with inventory scarcity indicators.
Professional services pages in the top quartile feature detailed case studies demonstrating ROI, prominently display credentials and certifications, include video testimonials from satisfied clients, and offer low-commitment first steps like free consultations.
Financial services pages require exceptional trust-building: security certifications, regulatory compliance badges, detailed privacy policies, and strong guarantees. Top performers use calculators showing specific financial outcomes and emphasize fiduciary responsibility.
Education pages converting above 14% showcase clear learning outcomes, display student success stories with before/after transformations, offer preview content or free trial lessons, and create urgency with cohort start dates and limited enrollment.
Healthcare pages require trust above all else: physician credentials prominently displayed, accreditation badges, HIPAA compliance messaging, patient testimonials with real photos, and clear explanations of treatment processes that reduce anxiety about the unknown.
Join hundreds of companies using MARLOWE to transform underperforming landing pages into high-converting revenue engines. Our team will analyze your current pages and show you exactly how much conversion rate improvement is possible.