Collective Revenue Insights
Our proprietary insights engine captures real-time behavioral data from the interactions of buyers and sellers on the platform. It learns who you should target, what you should prioritize and how you should engage across the funnel. It’s like Waze for Sales.
It’s like Waze for sales
DATA DIFFERENTIATION
Data is the secret sauce and the only way for AI to deliver meaningful results for sales teams. Our AI platform for sales combines your data with the collective intelligence of other sellers on our platform, to guide your reps in building and closing more pipeline.
Our collective data is the secret sauce and the only way for CRM + AI to deliver meaningful results for revenue teams.
We get you to revenue faster with real time help from other sellers.
Who should I sell to?
Sales reps spend anywhere from 15 minutes to a full hour between calls just researching who they should contact next.
Use cross-company data with your CRM data to target and prioritize the right people, based on who’s most likely to connect and buy.
How should I engage?
Knowing who to sell to does you no good if you don’t connect with people in the right way, at the right time.
VERIFIED PHONE
Connected with another rep within the last 30 days
BAD CALL LISTS
BAD CALL LISTSDrop numbers from your lists that will never connect
When other sellers have connected by phone with your prospects
VERIFIED EMAIL
Connected with another rep within the last 30 days
BAD EMAIL LISTS
Eliminate emails we know have already bounced
When other sellers have connected by email with your prospects
Reach out when prospects are most likely to connect.
AI modeling finds signals in the data based on: when other sellers have made contact and when internal and external conditions have proven to be optimal for contact.
How the data works in our A.I.
Our AI uses unique data that includes the propensities and buying influence of over 200 million B2B professionals.
We combine those propensities with customer CRM data, our data and 3rd party data and run it though sales models…
… to create selling and pipeline recommendations which we surface within our technology.
