B2B Look-alike Audience Builder
Create New Audiences Based on Your Best Customers
Discover more of your ideal customers. You already know who your best customers are—Versium REACH can find more just like them. Build a new audience based on a previous high performing list or audience, with a click of a button.
More of Your Best Customers with Versium REACH
Upload a list of current customers, ideal prospects, buyers at target accounts, etc., and Versium REACH will produce a list of similar individuals for highly-targeted and extremely efficient online marketing campaigns.
More Contact Points to Boost Campaign Performance
On top of creating targeted look-alike audiences, Versium REACH will layer on additional contact data to your audience for improvements in reach by has much as 520%. It's simple, not all data is created equal. Your prospects don't use the same email address, phone number, home address, etc. across all online platforms. Versium REACH online audience append enables businesses to add the contact points with the highest chance of success for reaching your prospects with online marketing campaigns.
*Metrics are based on an average of several controlled match rate tests. Results may vary based on the quality, quantity, and format of input data.
Do you have a great list of targets but are having a hard time reaching them online?
Versium REACH appends up to five email addresses and five phone numbers to each record in your list to significantly increase your match rates for online digital marketing campaigns.
“REACH gave us the volume of data needed to make our ABM strategy possible. With its ability to find additional contact points, we are actually able to reach the contacts we want at the companies we want.”
“REACH allows us to run precisely targeted campaigns that have dramatically increased ROI on digital advertising spend for Bluebird and our clients.”
“Getting a full picture of who we're targeting has never been so clear and actionable.”
“We experienced a 510% increase in landing page conversion rate over past efforts in display advertising.”
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