The Ultimate Guide to
How Feedalyze v2 Detects Churn Risk Per Account — Not Just Per File

The Problem with File-Based Analysis

We built Feedalyze because manually parsing through hundreds of support tickets was a nightmare. Our initial model gave agencies and SaaS businesses a fast, accurate way to analyze documents: upload a CSV file of feedback and get a comprehensive sentiment report.

But there was a fundamental flaw. It treated feedback as an undifferentiated blob. When you blend all feedback together, an incredibly happy power user and a frustrated, at-risk churner average out into a single "neutral" score. A CSV-level sentiment score tells you almost nothing about individual account health. You don't churn files; you churn customers.

What's New in v2: Per-Account Churn Scoring

Feedalyze v2 shifts the entire paradigm from analyzing documents to analyzing *customers*. Now, every specific piece of feedback, every support interaction, and every behavioral event is directly tethered to a specific account identifier.

Instead of generating a generic, blended average, our AI now models churn risk per account on a strict 0–100 scale. A score of 91 signals an immediate, acute problem requiring direct intervention. A score of 12 indicates a happy champion you can likely upsell. You no longer have to manually synthesize who is unhappy—the platform ranks your entire customer base side-by-side.

The Three Signal Types

A reliable churn prediction model cannot look at text alone. We triangulate the churn risk score using three distinct signal categories simultaneously:

How the Weekly At-Risk Digest Works

We know Customer Success managers are strapped for time and don't want to dig through dense dashboards. Feedalyze v2 automates visibility.

Every Monday morning, the platform runs a full scoring model across all active accounts and automatically sends a crisp Digest Email directly to your inbox. This digest highlights only the top 5 at-risk accounts. You immediately see their current churn score, their 30-day trajectory, and exactly which risk signals tripped the alarm. You can start your week knowing exactly who to call before they click the cancel button.

Integrations

To make per-account scoring completely frictionless, we've replaced manual CSV exports with native direct integrations. Your data streams into our analysis engine automatically:

*(For teams that aren't ready to set up an integration, don't worry—the robust CSV upload process still works perfectly. Simply include columns like `company_name`, `login_count`, and `support_tickets` side-by-side with your feedback text.)*

The Report: What You Actually See

Once an account is scored, they get an entirely redesigned, dedicated Account Report Page. Stop jumping back and forth between tools. On this page, you get:

How to Get Started in 5 Minutes

You can start scoring individual accounts and predicting churn today with zero engineering overhead. Here’s a quick guide:

Stop guessing which accounts are about to churn out. [Start your free analysis today](/analyze) and get your first 3 accounts scored on us—no credit card required.