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AI & Automation
Zoho PageSense
Zoho PageSense logo
AI & Automation

Zoho PageSense

Zoho PageSense is a comprehensive conversion rate optimization (CRO) platform designed to help businesses improve website performance and user experience. It enables marketers, product managers, and UX designers to understand visitor behavior through heatmaps, session recordings, and funnel analysis. The tool provides A/B testing capabilities to experiment with different page variations and determine which elements drive higher conversions. Built-in personalization features allow for targeted content delivery based on visitor segments, while form analytics help identify drop-off points. As part of the Zoho ecosystem, it integrates seamlessly with other Zoho applications like CRM and Analytics, offering a unified approach to optimizing digital customer journeys. The platform emphasizes data-driven decision-making by combining behavioral insights with testing tools to systematically improve website effectiveness and achieve business goals.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈150K visits/month (public web traffic estimate, Q4 2024)
Engagement
0🔥
0👁️
Categories
AI & Automation
Personal Agents

Key Features

Visual A/B Testing

Create and run A/B tests using a visual editor that requires no coding skills, allowing you to modify page elements and test variations against your original design.

Heatmap Analytics

Generate click, move, and scroll heatmaps that visually represent user engagement patterns across your web pages, showing where visitors focus their attention.

Session Recordings

Record and replay individual user sessions to observe actual browsing behavior, mouse movements, clicks, and navigation patterns in real-time.

Personalization Engine

Deliver customized content experiences to different visitor segments based on demographics, behavior, device, referral source, or custom parameters.

Funnel & Form Analytics

Track user progression through conversion funnels and analyze form completion rates with detailed insights into field-by-field abandonment patterns.

Multivariate Testing

Test multiple page elements simultaneously to understand how different combinations affect user behavior and conversion rates.

Pricing

Basic

$49/month
  • ✓Up to 10,000 monthly sessions
  • ✓3 websites
  • ✓Heatmaps (click, move, scroll)
  • ✓Session recordings (500/month)
  • ✓A/B testing
  • ✓Funnel analysis
  • ✓Form analytics
  • ✓Basic personalization
  • ✓Email support

Professional

$99/month
  • ✓Up to 25,000 monthly sessions
  • ✓10 websites
  • ✓All Basic features
  • ✓Advanced personalization
  • ✓Multivariate testing
  • ✓Advanced segmentation
  • ✓Priority support
  • ✓Custom reports
  • ✓API access

Enterprise

contact sales
  • ✓Custom monthly sessions
  • ✓Unlimited websites
  • ✓All Professional features
  • ✓Dedicated account manager
  • ✓SLA guarantees
  • ✓Advanced security features
  • ✓Custom integrations
  • ✓Training and onboarding
  • ✓24/7 premium support

Traffic & Awareness

Monthly Visits
≈150K visits/month (public web traffic estimate, Q4 2024)
Global Rank
##125,423 global rank by traffic, Similarweb estimate
Bounce Rate
≈42% (Similarweb estimate, Q4 2024)
Avg. Duration
≈00:03:45 per visit, Similarweb estimate, Q4 2024

Use Cases

1

E-commerce Conversion Optimization

E-commerce managers use PageSense to identify why shoppers abandon carts and which product page elements drive purchases. By analyzing heatmaps on product pages, they discover that users aren't noticing important information like shipping details or trust badges. Through A/B testing of different layouts, button colors, and trust signals, they systematically increase add-to-cart rates and reduce checkout abandonment, leading to measurable revenue growth.

2

SaaS Product Onboarding Improvement

SaaS product teams implement PageSense to optimize user onboarding flows and reduce early churn. Session recordings reveal where new users get confused during setup, while funnel analysis identifies specific drop-off points. By testing different onboarding approaches, tooltip designs, and progress indicators, teams create smoother onboarding experiences that increase activation rates and improve long-term retention metrics.

3

Content Website Engagement Enhancement

Publishers and content marketers use heatmaps to understand how visitors consume articles and which content elements keep them engaged. Scroll heatmaps show how far users read, while click heatmaps reveal which calls-to-action perform best. Through testing different headline formats, image placements, and related content widgets, publishers increase time-on-page and click-through rates to premium content or newsletter signups.

4

Lead Generation Form Optimization

B2B marketers leverage form analytics to improve lead capture efficiency. PageSense identifies which form fields cause abandonment and how field ordering affects completion rates. By testing different form lengths, field types, and progress indicators, marketers reduce form abandonment while maintaining lead quality, resulting in more qualified leads at lower acquisition costs.

5

Enterprise Website Redesign Validation

Large organizations use PageSense to validate website redesigns before full deployment. By running A/B tests between old and new designs with targeted audience segments, they gather data on how changes affect key metrics. Multivariate testing helps optimize specific elements within the new design, ensuring the final launch delivers improved user experience and business outcomes without guesswork.

How to Use

  1. Step 1: Sign up for a Zoho PageSense account through the official website and verify your email address to activate your workspace.
  2. Step 2: Install the PageSense tracking code on your website by adding a JavaScript snippet to your site's header or using a tag manager like Google Tag Manager.
  3. Step 3: Configure your first project by entering your website URL and setting up basic tracking parameters for visitor behavior analysis.
  4. Step 4: Create heatmaps to visualize where users click, move, and scroll on your pages, identifying engagement patterns and potential problem areas.
  5. Step 5: Set up A/B tests by creating variations of your web pages using the visual editor or code editor, then define your target audience and success metrics.
  6. Step 6: Launch your experiments and monitor real-time results through the dashboard, which shows statistical significance and performance metrics.
  7. Step 7: Analyze session recordings to watch individual user journeys and understand specific pain points in the navigation experience.
  8. Step 8: Implement personalization rules based on visitor segments (geography, device, referral source) to deliver targeted content and improve conversion rates.
  9. Step 9: Use funnel analysis to track conversion paths and identify drop-off points between different stages of the user journey.
  10. Step 10: Export reports and share insights with team members, then implement winning variations permanently based on test results.

Reviews & Ratings

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At a Glance

Pricing Model
Paid
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