Data decay
Data decay is the rate at which B2B contact data goes stale or wrong over time — people change jobs, companies restructure, and direct dials disconnect. Industry research puts the drift at roughly 22.5% a year. So about a quarter of a clean list is wrong within twelve months unless someone keeps re-verifying it.
Last updated: July 22, 2026
Why data decays
Contact records describe people, and people move. Someone takes a new job. A title changes. A company merges, splits, or shuts a department. A direct dial gets reassigned or disconnected. None of this shows up in your list — the record sits there looking correct while the fact behind it quietly stops being true.
The drift is steady, not dramatic. Research from MarketingSherpa, published in HubSpot's Database Decay work, puts B2B contact decay at about 2.1% a month, which compounds to roughly 22.5% a year. On a list of 10,000 records, that is more than 2,000 that have gone wrong in twelve months — even if every one was accurate the day you got it.
- Job changes: the contact leaves the role you bought them for.
- Reorgs and M&A: the account structure behind the record shifts.
- Disconnected or reassigned direct dials and mobile numbers.
- Bounced email as domains and addresses retire.
Why it hits shared and resold lists hardest
A shared database sells the same record to everyone. ZoomInfo, Apollo, and similar sales-intelligence tools run on that model: one contact, resold across many seats and subscriptions. That record started decaying the day it was collected, and every buyer inherits the same aging copy at the same time.
Saturation makes it worse. When one contact is worked by dozens of vendors' customers at once, the person screens calls, changes numbers, or goes dark faster than a record that isn't being hammered. You are paying for data that is both old and over-contacted, and no one in the chain is on the hook to keep it fresh.
Stalex runs the opposite model. A lead is EIN-verified at the point of sale, and once it lands in your room no competitor of yours can buy that same record. You are not sharing a decaying commodity with your rivals — you are working a record checked at the moment you took it.
How verification slows the damage
You cannot stop data decay. People will keep changing jobs. What you can control is where you start and how fast you catch drift.
Verification at the point of sale sets a clean baseline. Stalex confirms the business against its EIN before a lead is sold, so what you begin from is an EIN-verified lead instead of an unknown one pulled from a pile. Every lead also carries a score and grade — 0–100 and A–D — so you can see quality at a glance and work the strongest records first.
Other vendors attack decay at a different point: a vendor that verifies at export re-checks the contact as you download it, which fixes freshness without changing who else holds the same record.
The honest part: no verification freezes a record in time. A lead that is correct today can change next quarter. The point is to buy from a fresh, checked source rather than a resold list that was already aging before it reached you — and to weigh a per-lead price against a per-seat subscription when you do.
B2B contact data decays at roughly 22.5% per year (about 2.1% per month) — so nearly a quarter of a clean list goes wrong within twelve months.
HubSpot Database Decay — source- 92Exclusive to you
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Illustration, not live records. Once a record is in your room, a rival of yours cannot buy that same record from Stalex. It does not stop that business being reached another way.
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Request early accessFrequently asked questions
How fast does B2B contact data decay?
Roughly 22.5% a year, or about 2.1% a month, based on MarketingSherpa research cited by HubSpot. That means close to a quarter of a clean list can be wrong within twelve months.
What causes data decay?
People change jobs, companies reorganize or merge, direct dials get reassigned or disconnected, and email addresses retire. The record stays put while the fact behind it changes.
Can you stop data decay completely?
No. Contact data describes people, and people keep moving. You can slow the impact by starting from a verified source and re-checking records rather than reusing an aging list.
Why do shared databases decay faster in practice?
A shared database resells the same record to everyone, so every buyer inherits the same aging copy, and heavy contact across many vendors pushes the contact to screen calls or change numbers sooner.
Does Stalex data decay too?
All contact data ages over time. Stalex verifies each lead against its EIN at the point of sale and attaches a 0–100 score and A–D grade, so you start from a current, checked record instead of a resold one that was already stale.
Sources
- HubSpot — Database Decay Simulation — https://www.hubspot.com/database-decay
- Cognism — What Is Data Decay? Causes, Costs and Prevention — https://www.cognism.com/blog/data-decay