DataLab is our data science initiative to help marketers deliver measurable business outcomes using the power of data combined with AI/ML intelligence.
A slate of tools from DataLab can be deployed to inform and formulate data-driven go-to-market and content strategies.
LEADCLEANSE AND OMNICHECK
LeadCleanse improves your contact database hygiene. It removes contacts that are patently fake, missing essential fields, or of ex-staff - saving hours of manual verification and hard bounces from email campaigns. LeadCleanse could also be used to augment valid contacts with essential data such as Job Title and Company Name that are missing from the original data set.
OmniCheck works in tandem with LeadCleanse to validate email addresses for deliverability, and phone numbers using telco APIs for reachability.
CHURNSENSE POWERED BY ANN
Powered by Artificial Neural Networks, ChurnSense predicts with up to 78% accuracy which customers are about to churn (quit or fail to renew your service) so that you can target retention campaigns at the customers most likely to churn, or identify loyal customers for rewards.
SMARTSPEND POWERED BY MLRA
What’s the correlation between LinkedIn spending and revenue per client? Will increased media spending on trade shows lift sales volume, or affect customer lifetime value? What’s the impact of Net Promoter Score on the bottom line?
SmartSpend uses machine learning regression analysis to help a marketer predict the mix of outreach channels that would lead to a higher revenue pipeline.
CONTSEQUENTIAL
ContSequential uses AI/ML to predict what content and in which possible sequences would work best to get the desired outcomes from a specified prospect persona. Even when you already have prospects well on their way, ContSequential can help course-correct and nudge back those who have drifted off the buying journey.