| Primary function | Enterprise digital experience analytics platform — Contentsquare (which acquired Hotjar in 2021) provides Zone-Based Heatmaps, session replay, customer journey analysis, merchandising analytics (for ecommerce), frustration scoring, and AI-powered insights. Primarily enterprise-focused (custom pricing, typically $50k+/year for enterprise; Hotjar brand retained for SMB segment). Used by large retailers, banks, and travel brands. | Technical SEO audit platform — schema.org markup validation, Core Web Vitals diagnosis (LCP, INP, CLS element-level), canonical hygiene, indexation status, and structured data server-rendering verification |
|---|
| Zone-Based Heatmaps | Contentsquare's signature feature — Zone-Based Heatmaps divide a page into defined zones (content blocks, product cards, navigation elements) and measure each zone's attractiveness rate (% of visitors who click it), revenue contribution (for ecommerce), exposure rate (% who scroll to see it), and click rate. This is more granular than standard click heatmaps because it attributes revenue impact to specific content zones rather than just click density. | No heatmaps — DeepSEOAnalysis identifies specific HTML elements causing CWV failures (the LCP element by name, the elements causing CLS) but does not provide visual overlays of user click or scroll behaviour, and does not attribute revenue to content zones |
|---|
| Session replay | Session replay with frustration detection — automatically flags sessions with rage clicks, dead clicks, hesitation, and rapid back-and-forth scrolling (scroll thrash). Contentsquare's AI surfaces sessions with the highest frustration scores rather than requiring manual filtering. Hotjar, retained as a separate Contentsquare-owned product, provides session recording for SMBs at lower price points. | No session recording — DeepSEOAnalysis analyses aggregate technical quality metrics (CrUX CWV p75, schema structure) rather than individual user sessions |
|---|
| Customer journey analysis | Journey analysis maps how visitors navigate between pages — entry points, exit points, common paths, and where journeys diverge between converting and non-converting segments. Contentsquare's "Journey" module overlays revenue data on navigation flows for ecommerce. This reveals structural UX issues (e.g., a product page that consistently sends users back to the category page rather than to the cart) that page-level tools miss. | No journey analysis — DeepSEOAnalysis audits the technical quality of individual pages rather than multi-page navigation flows |
|---|
| Core Web Vitals | Contentsquare includes a Speed Analysis module that surfaces page load times and Core Web Vitals metrics segmented by device, country, and user segment. Contentsquare's CWV data comes from in-session measurement rather than from CrUX field data — the two sources may differ. Contentsquare can correlate poor CWV with session frustration scores and revenue impact, providing a commercial justification layer for performance work. | Native CWV diagnosis from CrUX field data at p75 — the exact threshold Google uses for ranking signals (not in-session measurement). Identifies the specific HTML element responsible for LCP, measures INP response time per interaction, quantifies CLS per layout shift source, and checks whether schema is server-rendered or JavaScript-injected. |
|---|
| Contentsquare's own CWV impact | Contentsquare's tracking script intercepts DOM events for zone analysis, session recording, and frustration detection. This continuous event monitoring adds JavaScript execution overhead. The impact on INP depends on page complexity and concurrent JavaScript load. Enterprise pages with multiple martech scripts (analytics, personalisation, A/B testing, Contentsquare) may see compounding INP degradation. | No tracking script — DeepSEOAnalysis reads public page HTML and CrUX field data from the outside; it identifies whether Contentsquare's script is contributing to INP inflation on measured pages. |
|---|
| Ecommerce revenue attribution | Revenue attribution per content zone is Contentsquare's strongest differentiator for ecommerce — connecting a product image, banner, or CTA to its revenue contribution rather than just its click rate. Merchandising analytics module surfaces which product positions, images, and promotional banners generate the most revenue per exposure. This data directly informs site merchandising and A/B test prioritisation. | No revenue attribution — DeepSEOAnalysis audits the technical quality of ecommerce pages (Product schema, pricing markup, canonical for faceted navigation, CWV on product and checkout pages) rather than attributing revenue to content zones |
|---|
| Privacy and GDPR | Contentsquare processes user session data including navigation behaviour and revenue events. Requires informed consent under GDPR for EU visitors. Contentsquare offers EU data residency, IP masking, and sensitive content masking. As an enterprise platform, DPIA support and DPA agreements are included in enterprise contracts. | No cookies, no personal data, no consent required — DeepSEOAnalysis fetches public page HTML; no user behaviour is recorded, no consent mechanism is needed for your visitors |
|---|
| Pricing | Contentsquare is enterprise-only with custom pricing — typically starting from $50,000+/year for mid-market, scaling significantly for enterprise contracts. Hotjar (Contentsquare-owned) is the SMB version: free plan with 35 daily sessions; Plus €32/mo; Business €80/mo; Scale €171/mo. Contentsquare and Hotjar are sold as separate products. | Free for all URL audits with no email gate; Pro $24/mo; Agency $89/mo |
|---|
| Target user | Contentsquare: enterprise ecommerce, retail, travel, financial services — teams with dedicated UX analysts, CRO specialists, and product managers who need revenue-attributed experience data. Hotjar: SMB and mid-market product teams, growth marketers, and UX designers wanting qualitative session insights without enterprise contract commitment. | SEO practitioners, developers, and digital marketers at any scale who need to diagnose technical SEO issues — schema errors, CWV failures, canonical misconfiguration, indexation problems — and understand organic search performance drivers |
|---|