Conversion attribution
Track whether visitors convert after viewing hero, features, pricing, testimonials, or FAQ. This helps teams optimize the sections that actually influence signups.
modelname helps SaaS teams see which sections, pricing tiers, and CTAs drive signups, demos, and purchases — without requiring a full analytics engineering team.
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These cards are written as benefit-led proof points, which is a common modern landing-page pattern: connect each feature to an outcome for the user.
Track whether visitors convert after viewing hero, features, pricing, testimonials, or FAQ. This helps teams optimize the sections that actually influence signups.
Capture source, device, first seen, last seen, and time spent in key landing-page sections. This creates a normalized foundation for product and marketing analytics.
See which pricing plans attract the most traffic and which plans convert best. Clear pricing tables reduce friction and make CTA paths easier to measure.
Email signups, demo requests, and purchase events are recorded as conversion events so landing-page changes can be connected directly to business outcomes.
Modern landing pages usually place testimonials near pricing or conversion forms to reduce perceived risk.
“We changed our pricing table layout and saw a 24% increase in demo requests. The dashboard made it obvious which sections were converting.”
“The section-level analytics gave us a clearer picture than generic pageview data. We finally know where visitors spend attention.”
“It’s simple enough for marketing teams, but structured enough for engineers to trust the data model.”
A competitive SaaS pricing table should be clear, visually differentiated, and aligned with common conversion expectations: free entry tier, focused paid tier, and custom enterprise tier.
Best for small teams testing landing-page analytics.
Best for growth teams that need conversion attribution.
Best for teams that need governance, integrations, and SSO.
The forms below simulate conversion events. In production, these would insert rows into the analytics schema described in the dashboard file.
Track hero, features, pricing, testimonials, FAQ, and conversion forms. These are the sections most commonly associated with landing-page conversion decisions.
Visitors are tracked using normalized session identifiers, source attribution, device type, first seen, last seen, and conversion events.
The schema is designed for analytics, but conversion rows can later connect to product, CRM, billing, or marketing automation systems.
The core tables are visitors, page_views, and conversions. Together they support traffic trends, funnel conversion, section-level attribution, and time-spent analysis.
Yes. The dashboard is designed around queryable analytics tables, so exports can be generated through SQL, CSV, or API access in production.