Ptengine Heatmap Analyzev1.0.0

A performance marketer analyzes a paid-traffic landing page to identify where users drop off and which content blocks cause friction. Using Ptengine's block-level heatmap data and the 4-stage psychology model, they pinpoint elements with high exit rates and low dwell time.

An e-commerce optimization team runs an inline A/B test on a product page's hero section and needs to understand why the winning variant outperformed. The skill fetches heatmap data for both versions and uses the ab_test analysis type to validate hypotheses about attention and engagement.

A growth strategist wants to determine which ad sources (e.g., Google, Facebook, TikTok) drive the most engaged traffic to a signup page. By running page_insight with sourceType grouping, the skill populates a quadrant analysis of ad channels based on conversion rate and bounce behavior.

A content strategist compares how new versus returning visitors interact with a blog article page to tailor content recommendations. Using the compare analysis type with visitType filters, the skill surfaces differences in scroll depth, block engagement, and conversion rates across segments.

A product manager analyzes the audience visiting a mobile app download page to understand device type distribution (PC vs Mobile) and referral sources. The audience_analysis type aggregates page_insight data by terminalType and sourceType to reveal high-value segments and guide localization efforts.

Software companies offer free trials or freemium tiers and need to optimize signup and activation pages. Ptengine heatmap analysis helps identify UI friction that blocks upgrades, directly impacting recurring revenue.

Online retailers drive traffic through ads and organic channels to product detail pages. Analyzing heatmaps reveals which product images, descriptions, and CTAs most influence add-to-cart behavior, increasing average order value.

Marketing agencies manage client campaigns and are paid to improve conversion rates. Using Ptengine to validate A/B tests and compare ad channel performance provides evidence-based reporting and justifies retainer fees.