Calculate Your Recoverable Revenue

Answer four quick questions to see the revenue hiding in your bounced emails.

How many years since your database was last cleaned?
years
HubSpot research shows databases decay ~22.5% per year, which we use to estimate your bad contacts.
%
Across your full database, the share who pay for membership or attend events in a typical year.
$
Annual dues, average ticket price, or a blended figure if you have both. If you're a trade association, chamber, or other nonprofit with corporate membership, estimate what a typical member pays, not your biggest or smallest, since outlier dues can skew the math.
Your Estimated Recovery
Contacts you can't reach
Potential* annual revenue recovered
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*"Potential" because we won't find everyone, and not everyone we recover will convert. Some have retired, left the industry, or moved into roles where your organization isn't a fit. This shows your upper-bound opportunity.

How we calculate your data decay losses

The calculator uses verified industry baselines to estimate the membership and event revenue hiding in your outdated contacts:

The result is your upper-bound opportunity on revenue alone. Bad data costs you in two more ways this number doesn't count:

Both land on top of the recovery figure above.

How Clean Data Drives Growth

About 22.5% of contacts change jobs, get promoted, or move every year (HubSpot). Finding them again is what turns a shrinking list back into a growing one.

Frequently Asked Questions

How does automated data cleaning increase membership revenue?

Contact databases decay by about 22.5% a year (HubSpot) as people change jobs, move, and update their details. Automated cleaning finds those people again, so renewal notices, conference invitations, and appeals reach a real inbox instead of bouncing. The effect compounds: re-engaging just 2% of lost contacts can mean 20% more conference attendance and 10% more conference revenue.

What is the ROI of database enrichment?

It depends on the size of your list and what a member or attendee is worth to you, which is exactly what the calculator above estimates. The revenue figure is only part of the picture. Clean data also lowers your email bounce rate, protects your sender reputation, and gives staff back the hours they spend tracking down where people went. Worth knowing: this is different from email verification, which tells you an address is dead but not where the person went.

How often should we clean our contact data?

Because data decays continuously, a one-time cleanup starts going stale the day after. Most organizations run verification on an ongoing schedule, so the database is accurate when they actually need it: at renewal time, or before a conference.