# Account Health

> Read where an account's health is heading from recent conversations, backed by an engagement timeline and a research snapshot, every claim tied to evidence.

**Source:** https://gtm.ai/marketplace/gtm-skills/zoominfo-account-health

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## Overview

Account Health gives a grounded read on where an account is heading. It pulls the sentiment trajectory across recent conversations, the risk signals that the data actually shows, and one to three recommended actions. The read is strictly evidence-based. It does not invent risk or fall back on generic churn advice, and it asks for your input when the conversations do not settle the question.

The skill is built for anyone who owns account outcomes: account executives heading into a renewal, customer success managers watching a strategic account, and RevOps teams who want a defensible risk read before a QBR. It combines an engagement timeline (contact cadence and any drop-off), conversation intelligence for sentiment and risk, and an account research snapshot for deal and relationship context.

Conversation intelligence sees only the last few engagements and cannot count mentions or search by topic, so the skill treats its read as recent signal rather than a full trend line. When conversation data is thin, mixed, or a verdict hinges on something the data cannot show, such as a renewal date or an off-platform escalation, the skill asks you before writing the assessment. If no conversation data exists at all, it says so and limits the read to CRM and firmographic signal.

## What It Does

- **Health verdict**: States a single direction (healthy, watch, or at-risk) with a confidence level and the reason confidence sits where it does.
- **Sentiment trajectory**: Traces how tone and engagement have moved across recent conversations, citing the specific moments behind the read.
- **Risk signals**: Surfaces evidence-backed concerns like a champion who has gone quiet, an unresolved escalation, or a slipping contact cadence, and omits anything it cannot support.
- **Strengths**: Names what is genuinely going well when the evidence shows it, rather than padding the assessment.
- **Recommended actions**: Suggests one to three concrete moves tied to the evidence, or says what to confirm first when the data does not support a confident call.
- **Evidence discipline**: Separates what the conversations show from what is inferred, and folds in any context you provided with attribution.

## Use Cases

### Risk Read Before a Renewal

An account executive has a renewal QBR in three weeks and wants to walk in with a clear-eyed view. Running Account Health returns the sentiment trend across the last several conversations, flags that the original champion has gone quiet, and recommends confirming the renewal date and adoption numbers before the meeting. The verdict comes with a confidence level, so the AE knows how much weight to put on it.

### Churn Check on a Quiet Account

A customer success manager notices a strategic account has gone silent and wants to know whether that silence is a real risk signal. The skill builds the engagement timeline, shows the drop in contact cadence, and reads recent sentiment. Where the data cannot confirm whether the quiet is a problem, the skill asks about recent escalations or usage rather than assuming churn.

### Sentiment Review Across a Book

A RevOps lead wants a defensible read on several accounts before a pipeline review. For each account, the skill produces a direction, a confidence level, and the source moments behind the sentiment call. Accounts with no conversation data get an honest CRM-only view with a note that conversational risk could not be assessed.