Your Company Data Could Be Worth $100K to $2M
AI companies are paying established businesses for real internal data: SOPs, knowledge bases, CRM records, project histories, QA processes and team communications. The documentation you already have can become a new revenue stream. If you want to sell, answer three quick questions to see if your company qualifies.
- Open to every industry
- US companies first, then other Western markets
- No new work, you license what already exists
Check if your company qualifies
Good news. Your company meets the requirements for the Enterprise Data Partnership. Apply below to find out what your data is worth.
Apply for the Data Partnership →CRM Data Decay Calculator — How Much of Your CRM Is Out of Date?
Your CRM gets less accurate every month, even if nobody touches it. Contacts change jobs, phone numbers change and companies merge. Most B2B databases lose about 2 to 3 percent of their accuracy each month. This calculator shows how much of your database has likely gone stale since your last cleanup. Enter your number of records, your decay rate and the months since you last cleaned the data. The tool shows how many records are probably wrong, how many are still good and what the bad records cost you. It uses the well known 1-10-100 rule to compare the cost of cleaning now with the cost of doing nothing. A 12 month table shows how fast the problem grows if you wait. It is built for sales leaders, marketing managers and operations teams who need numbers to justify a data cleanup.
Next 12 Months if You Do Nothing
| Month | Total records | Out of date | Accuracy | Cost if ignored |
|---|
Frequently Asked Questions
What is CRM data decay?
CRM data decay is the steady loss of accuracy in your contact and account records. People change jobs, get promoted, move offices and change phone numbers. Companies merge, rebrand or close. Each change makes a record a little less useful until it is wrong.
How fast does B2B data decay?
Most studies put B2B contact data decay at about 2 to 3 percent per month, or 22 to 30 percent per year. Email addresses decay fastest because of job changes. Fast growing industries such as tech and sales can be higher.
What is the 1-10-100 rule?
The 1-10-100 rule says it costs about $1 to verify a record when it is entered, $10 to clean it later and $100 if nothing is done and the bad record causes lost sales or wasted work. The calculator uses these values by default, but you can change them.
How often should I clean my CRM?
A light cleanup every quarter and a full review once a year works for most companies. High volume sales teams often run monthly checks on their most active segments. Automatic email validation at the point of entry helps a lot.
Is old CRM data still worth keeping?
Yes, often. Even if contact details are out of date, the history of deals, notes and outcomes shows how your sales process works. That history is useful for forecasting, training new reps and, for some companies, licensing to AI data buyers.
Why Records Go Bad
In the US, the average worker changes jobs every four years or so. Each move breaks an email address, a title and often a phone number. Add office moves, mergers and closed businesses and a quarter of a B2B database can go stale in a single year.
The Real Cost
Bad records waste sales time, hurt email sender scores and skew your reports. Forecasts built on dead contacts look better than they are. The cost of a bad record is mostly hidden in lost time, which is why the 1-10-100 rule puts it so high.
How to Slow Decay
Validate emails when they are entered. Set a rule that reps update a record after every call. Run bounce reports monthly and archive contacts with no activity in two years. Most CRMs also support data enrichment tools that refresh job titles automatically.
History Still Has Value
Even when contact details are wrong, the activity history is not. Notes, deal stages and outcomes show how your sales process really works. That record is useful for training, forecasting and AI tools, so archive old contacts instead of deleting them.
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