Direct answer
The product is designed for direct time-to-value. Teams can start by adding tracking, then progressively add goals, funnels, attribution context, and Search Console data.
Step-by-step workflow
- Step 1: Add a website and install the Faurya script or use a supported integration.
- Step 2: Define key goals such as signup, checkout, demo request, or activation events.
- Step 3: Connect optional sources like payment events and Search Console context.
- Step 4: Review traffic sources, journeys, and funnel progression in dashboards.
- Step 5: Prioritize improvements based on conversion and attribution evidence.
What users need to provide
- A website where tracking is installed.
- Clear goals or events that represent meaningful outcomes.
- Optional connected data sources for richer context.
- Regular review cadence for analytics and reporting decisions.
What the system does
Faurya organizes event and visit context into source reports, funnel views, and journey sequences. It summarizes where users come from, what they do, and how those sessions relate to conversion outcomes.
When payment event context is available, teams can inspect attribution patterns tied to customer outcomes.
Outputs users receive
- Traffic and channel context for campaign decision-making.
- Goal and funnel progression views that expose drop-off points.
- Journey-level context for conversion debugging.
- Attribution-oriented reporting tied to business outcomes.
Common workflow examples
Example 1: A SaaS team tracks signups, activation, and paid conversion to identify where trial users drop off.
Example 2: An ecommerce team compares paid and organic channels to identify which paths correlate with purchases.
Example 3: A marketing team reviews weekly insight summaries and reallocates campaign effort based on observed outcomes.
Answer-focused questions
How quickly can teams start collecting useful data?
Teams can begin with script setup and goal definition, then improve coverage over time with optional integrations and attribution context.
Does Faurya require a full data engineering stack?
No. It is designed to surface practical analytics context without requiring an internal data warehouse workflow for everyday decisions.
What is the end result of the workflow?
A clearer understanding of traffic quality, funnel behavior, journey paths, and channel-level outcome context for planning next actions.