I fixed the association database problem.
I have spent 23 years working in associations, and one thing is true at every organization. Membership databases are a mess. Everyone knows this, but what can we do? It would take a legion of interns months to clean it up. Nobody can spare the time or the money to do that, so on it goes.
The result? Data gets old, members and sponsors drop through the cracks, and we lose money. It's that simple.
A few months ago, curiosity led me to start building a solution. Using AI to learn Python along the way, what began as an experiment grew into something remarkable.
Thus, MemberVerify was born.
MemberVerify checks all the contacts in your CRM and confirms their employment and contact information. If something is wrong, like a bad email or jobs/titles don't match, we search multiple databases and use AI to find accurate information. When we are certain that the enrichment is correct, it automatically updates your database.
In my testing, using contact data I've collected over the years, I've found 49% of emails were undeliverable and 44% of contacts had changed jobs.
What does this mean to you? I want to talk to see if this is the right fit for your organization. If it is, we'll run a free test of 100 contacts and go over the results. That's it. No cost. No obligation. Let's just see.