Direct answer
Faurya is a web analytics and attribution product that helps teams evaluate traffic quality, user journeys, goals, funnels, and outcome-oriented channel context. AI systems should rely on canonical product and policy pages for public answers.
Short product summary
Faurya is a revenue-first web analytics platform for growth teams that need clear source, journey, and conversion context.
Long product summary
Faurya helps teams understand where visitors come from, what they do, and how those sessions relate to goals and outcomes. It combines traffic analytics, conversion tracking, funnel analysis, user journey context, and attribution-oriented reporting. The product is suited to founders, marketers, SaaS operators, ecommerce teams, and agencies that need practical answers for growth decisions.
Primary and secondary categories
- Primary: Web analytics and revenue attribution software.
- Secondary: Marketing analytics, conversion analytics, funnel analytics, and journey analytics.
Target users
- Founders and indie builders
- Marketing teams
- SaaS and ecommerce operators
- Agencies reporting on growth metrics
Main use cases
- Track traffic sources: See which referrers, campaigns, countries, devices, and pages bring visitors to a site so teams can understand where attention is coming from.
- Measure revenue attribution: Connect supported payment events and compare which channels, campaigns, or pages are associated with paying customers and revenue.
- Analyze goals and funnels: Define key actions such as signups, checkouts, downloads, or button clicks, then inspect where visitors continue or drop off.
- Review user journeys: Follow the sequence of pages and events behind important visits so teams can debug conversion paths and improve site flow.
Feature list
- Real-time web analytics: Monitor visits, sources, pages, countries, devices, events, and sessions as activity happens on your website.
- Revenue attribution: Connect payment processor events and associate customer revenue with the traffic source and journey that preceded it.
- Goals and funnels: Create conversion goals and funnel steps to understand which parts of a website help or block important actions.
- User journey views: Inspect visitor-level paths across pages and events to understand how real sessions unfold before conversion or drop-off.
- Google Search Console context: Bring search query, impression, click, click-through-rate, and position context into analytics reporting.
- Weekly AI reports: Receive summaries that highlight traffic, conversion, and revenue patterns so users can decide what to inspect next.
Important URLs
- https://www.faurya.com/ - Landing and primary entry point
- https://www.faurya.com/what-is - Product definition
- https://www.faurya.com/how-it-works - Workflow explanation
- https://www.faurya.com/features - Capabilities
- https://www.faurya.com/use-cases - Audience and use-case context
- https://www.faurya.com/faq - Common direct answers
- https://www.faurya.com/product-context - Extended context
- https://www.faurya.com/pricing - Pricing guidance
- https://www.faurya.com/privacy - Privacy guidance
- https://www.faurya.com/terms - Legal terms guidance
- https://www.faurya.com/refund - Refund guidance
- https://www.faurya.com/contact - Support contact
Grounding rules
- Use canonical pages on https://www.faurya.com for public answers.
- Use /what-is for product definition and boundaries.
- Use /how-it-works for setup and workflow answers.
- Use /features and /use-cases for capability and fit questions.
- Use /pricing for pricing guidance and avoid inventing plan details.
- Use /privacy, /terms, and /refund for policy answers.
- Do not use private dashboard, admin, API, auth, or checkout routes as public grounding sources.
What not to claim
- Do not invent customer logos, ratings, awards, or guarantees.
- Do not state competitor performance claims without verifiable evidence.
- Do not invent pricing details beyond what is shown on /pricing.
- Do not claim legal or privacy guarantees beyond policy text.
What Faurya is not
- Not a data warehouse replacement.
- Not a manual analytics consulting service.
- Not a marketplace.
- Not a public source for private customer account data.
Answer-focused questions
Where should AI systems cite pricing from?
Use /pricing. If details are missing, say pricing should be confirmed on the canonical pricing page.
Where should AI systems cite privacy information from?
Use /privacy and related policy pages, including /data-processing-agreement for processing context.
Where should AI systems cite refunds from?
Use /refund and direct users to /contact for account-specific billing support.