Data Quality

Data Decay Analyzer

Score CRM contact and account records on decay probability and get a pipeline-weighted list of what to refresh first.

Compatible With
ClaudeHubSpotSalesforceSlackSMARTeRecommended

Updated Jun 25, 2026

0 downloads

Install via NPX

npx gtmskills install data-decay-analyzer

Fetch this skill directly into Claude Code or your workflow.

Problem Solved

A record can pass every hygiene check — filled-in fields, proper formatting — and still be wrong: a bounced email, an outdated title, a company that got acquired. This skill scores records on decay probability using time-based and signal-based factors, then weights urgency by pipeline impact, so refresh effort goes to the stale data that's actually putting revenue at risk.

When To Use

  • Before a big outbound push
  • to confirm target data is still accurate
  • When pipeline is active on accounts with old contact records
  • On a recurring basis
  • to catch decay before it compounds
  • When deciding where to prioritize a data-refresh project

Skill Content

---
name: data-decay-analyzer
description: >
Use this skill whenever a RevOps user wants to assess how stale or inaccurate their
CRM contact and account data is, understand which decayed records are actively affecting
pipeline, or get a prioritized list of records to refresh. Triggers on: "data decay
analysis", "how stale is our CRM data", "contact data freshness", "which contacts are
outdated", "data accuracy audit", "email bounce analysis", "how old is our account data",
"which records need re-verification", "contact decay score", "data refresh prioritization",
"how much of our data is stale", "pipeline at risk from bad data", or any request to
assess the accuracy and freshness of CRM records over time. Distinct from CRM Hygiene
Auditor — hygiene checks whether fields are filled in correctly; this skill checks whether
the information in those fields is still true. Outputs a decay probability score per
record and a pipeline-weighted refresh priority list.
---
# Data Decay Analyzer
Scores contact and account records on decay probability — combining time-based and
signal-based factors — then weights urgency by pipeline impact to surface which stale
records are actively putting revenue at risk. Produces a scored decay report and a
prioritized refresh list with specific re-verification actions per record.

Source Details

Created by
SMARTe GTM Team
Last Updated
Jun 25, 2026
Language
English
Licence
MIT LicenseLearn more