Data decay
Firmographics & Data Enrichment- Definition
- Data decay is the natural erosion of database accuracy as people change jobs, companies merge, titles shift, and email addresses go dark. Industry estimates peg B2B contact data decay at 20–30% per year. An email address that works today has a one-in-four chance of bouncing in 12 months. Data decay means enrichment is not a one-time project — it is a recurring cost of maintaining a clean pipeline. Decay rates vary by field: direct dials decay fastest, company name slowest.
Why it matters
Data decay is the hidden tax on every outbound motion. Teams that enrich once and forget see pipeline quality erode quarter over quarter. The winning strategy is not 'clean once' but 'clean at the cadence your data sources decay' — which is why event-sourced data (refreshed per event) holds its value longer than bought lists (decayed before the first dial).
Example
A RevOps team does a full database enrichment in January. By July, 15% of enriched phone numbers are disconnected, 10% of last-modified dates show title changes the enrichment didn't catch, and 8% of email addresses now bounce. The team budgets for a mid-year refresh because the decay has already degraded their SDR team's connect rate by 12 percentage points.
How Impossible Data helps
Impossible Data refreshes conference datasets throughout the event window, so you work from data collected during the conference cycle — not a list that started decaying the day it was scraped.