You’ve got dirty data coming from dozens of different sources, like field events, syndication, and your website, and there’s lots of people in sales and support constantly touching your data. Clean your data, and keep it clean with Openprise.
Openprise ‘bots can clean data to your unique specifications.
Target More Effectively through Better Segmentation
Let Openprise automate the cleansing of your data to your exact specifications. Openprise ’bots work 24/7 to continuously monitor and clean data in real time. You can:
Clean up incorrect email and website addresses.
Derive missing address fields like city, state, and country.
Fix capitalization issues – NO MORE SHOUTING AT YOUR PROSPECTS.
Automatically filter known bogus names like “Mickey Mouse” before they’re sent to Sales.
Make Normalized Data the New Normal
Every campaign has its own quirky formats, and that’s a recipe for dirty data. This can make reporting and segmentation a nightmare. Openprise ‘bots can perform hundreds of tasks to:
Standardize company names, such as “GE” vs. “General Electric” using algorithms with fuzzy matching.
Normalize phone numbers in every country, based on the right local format, so auto dialers work flawlessly.
Normalize state and country fields to two-letter codes or spelled out, even with data in local languages and double-byte character sets, so segmentation is a breeze.
Openprise can clean data in Salesforce, Marketo, Pardot, Eloqua, Microsoft Dynamics 365, Amazon Redshift, and more.
Drop a spreadsheet in a file sharing tool like Box or Dropbox, and Openprise does the rest—automatically cleaning and normalizing the data and uploading the data to your marketing automation or sales automation system.
It’s Never “My Way or the Highway”
There are no black boxes in Openprise. You, not a data provider or software vendor, decide how to clean and standardize your data. Openprise ‘bots reference dozens of open data sets that you can tweak to fit your needs to:
Create your own buyer personas to map to job titles, job functions, and job levels.
You decide how companies roll up into different industries.
Define how geographies roll up – put places like Alaska, Hawaii, and Puerto Rico in whatever regions align with your sales territories.
No more spreadsheets, macros, or massive, error-prone filters to normalize your data to get the reports you need. With cleaner data, better segmentation, scoring, routing, and attribution are right around the corner.