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Collaborating With the Biznalyst Agent
A quick guide to asking the right questions and turning answers into documents Step 1: Start With a Clear Question The Biznalyst agent works best when you ask questions in plain business language. You don’t need to know which analysis or tool to run—just state what you want to understand. Examples: “How was revenue performance last quarter?” “Measure churn in Q4 2025.” “Break down revenue by lifecycle segments.” The agent will interpret your intent, run the appropriate analys
Dec 15, 20252 min read
Configuring Lifecycle Segments
Lifecycle segments help classify your customers based on recency and purchasing behavior. Biznalyst auto-generates these segments as soon as your data is connected, allowing all analytical tools to evaluate performance consistently and accurately. 1. How Lifecycle Segments Work Lifecycle segments identify where each customer stands in their buying journey on a given snapshot date . All Biznalyst tools—Revenue Measurement, Churn Measurement, LTV Analysis, Segmentation Analysis
Dec 11, 20252 min read
Aligning Metrics With Your Marketing Strategy
A strong marketing strategy starts with a clear understanding of which metrics matter and why . Biznalyst simplifies this by breaking down revenue into meaningful, actionable components—helping you focus on the levers that directly support your goals. This playbook explains how to align metrics with marketing priorities using lifecycle segments and the core drivers of revenue. 1. Start With the Structure: Revenue by Lifecycle Segment Every customer belongs to a lifecycle seg
Dec 9, 20252 min read
Connecting Your Data to Biznalyst
Biznalyst works best when your purchase data is clean, structured, and up to date. This guide explains how to connect your data—either by linking your Shopify store or by uploading a CSV file—and what to expect after setup. Supported Data Sources Biznalyst currently supports two ways to bring in transaction-level purchase data: Shopify (recommended for Shopify merchants) CSV uploads (for all other platforms or custom systems) Both methods populate your workspace with the purc
Dec 9, 20252 min read
Orchestrated Analytics Vs Direct upload to AI
Uploading a CSV into ChatGPT feels magical—but is it sustainable for serious analytics? If your team relies on data-driven decisions, this comparison might be worth a read. Over the last year, many teams tried uploading CSVs or spreadsheets directly into AI tools and asking questions in plain English. It feels magical—but is it sustainable for serious analytics? Platforms like Biznalyst use an LLM (Large Language Models)-as-orchestrator approach: the model decides which anal
Nov 26, 20252 min read
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