Data Decay and Refresh Cycles

Data decays. People change jobs, companies get acquired, phone numbers go stale, and technology stacks get replaced. Industry research consistently shows that B2B contact data decays at approximately 30% per year — meaning nearly one-third of your contact records will be inaccurate within twelve months of creation. Pipeline data decays faster because it includes dynamic fields like deal amount, close date, and stage that change with every conversation.

1. Contact Decay Detection Monitor email bounce rates, phone disconnection rates, and LinkedIn profile changes. A contact whose email bounces is a stale record. A contact who changed companies on LinkedIn is no longer at the account. Build automated detection that flags decayed contacts before a rep discovers the hard way during outreach.
2. Scheduled Re-Enrichment Re-enrich all active account records quarterly. Re-enrich contact records associated with open deals monthly. Re-enrich all records annually as a full refresh. Each cycle catches decay that accumulated since the last refresh and updates records with current data.
3. Decay Rate Tracking Measure your actual decay rate: what percentage of records changed during the last re-enrichment cycle? If 25% of company records had material changes in a quarter, your decay rate is approximately 25% per quarter. This number tells you how aggressive your refresh cycle needs to be — higher decay demands more frequent refreshes.