Gold Nugget Data Policy
Six Steps To Trash Your Bad Data
Bad data is bad news. Not only does it clog your database and hike up your costs and software subscriptions; it makes your marketing efforts ineffective, which costs your organization in more ways than one.
Sirius Decisions estimates that between the tangible and perceived costs, organizations spend an average of $100 to maintain every record in their database – even the dirty ones. If you have 100,000 records in your database and 20% are inaccurate (and that’s a conservative estimate), that’s $2M down the drain.
RevEngine Marketing’s signature 6-Step Gold Nugget strategy systematically removes the dirt from your data, saving you thousands and improving the performance of your marketing.
The process has helped clients reduce their database size by 10-40% getting them under their software database limits while boosting performance.
The 6-Step Process
Our Gold Nugget strategy is quite literally like panning for gold; leads pass through a different filter slowly sifting out the dirt while leaving shiny nuggets of clean data remaining at the end.
We use a methodical 6-step process that looks at multiple criteria in each record for a comprehensive approach to database cleansing:
- Step 1 - Get Rid of Duplicates
- Step 2 - Eliminate People without Email Addresses
- Step 3 - Purge Recently Deleted Salesforce Leads
- Step 4 - Delete Disqualified Contacts
- Step 5 - Remove the Hard Bounces
- Step 6 - Delete the Inactive (but only after a Wake The Dead campaign!)
At each step, we'll help you identify the criteria to review, provide technology and processes for performing the purging tasks, and suggest the ideal frequency. Once you have your custom Gold Nugget plan in place, you can confidently maintain your database throughout the year.
Get Started With A Free 21-Point Marketing Checkup
The foundation of a good marketing strategy is clean data. RevEngine Marketing can help you get there starting with a free 21-point marketing checkup to assess the health of your marketing strategies, processes, automation technology, and your data itself.