Modern Analytics specializes in using automation to produce predictive scoring models that help drive sales and marketing leads with more accurate lead scoring.
In today’s data-driven economy, most businesses understand that they need to empower their sales and marketing teams with effective lead scoring in order to more efficiently transform data into productive results.
Sales and marketing lead scoring is, at the most basic level, a way to rank customers and prospects by the likelihood of them doing something – buying a product, attending a webinar, reading a white paper, moving to a competitor. This likelihood score is based on historical data, internal and external, which tracks what customers and prospects have done in the past.
Typically these lead scoring ranks are expressed as probabilities where the output is a scored list, which can then be used to drive sales and marketing campaigns. The business case is to improve the productivity and effectiveness of resources applied.
Most predictive scoring firms (especially those selling data) start with “most likely prospect to become a customer” scores. Simple, direct and straightforward, it is a “one scoring model fits all” approach that they apply to all customers and prospects regardless of where they reside, what products and services they have bought in the past, or even interactions at the individual level.
– Matthias Kehder, CEO of Modern Analytics
However, deploying fully automated, autonomous predictive analytics is a much better means to improve one’s ability to predict what customers and prospects are most likely to do in the future.
Automated Predictive Lead Scoring Models
At Modern Analytics we use predictive scoring models to exhaustively analyze every data element for every customer and prospect, for every product and service, for as many segments as can be supported in order to find the best possible outcomes. Our automated Model Factory produces literally thousands of predictive scoring models versus the one-size-fits-all approach.
The outcomes are scored lead lists that are much more granular, all based on statistical probabilities that enable a company to truly target scarce resources at the highest likelihood opportunities, regardless of application.
Not only does full automation enable a company to get to market faster, but it also allows them to react to changes at a much faster pace than typical approaches that require human intervention at every stage of the process.
The net results of automated lead scoring models are better predictions at a significantly faster pace. This enables more effective resource allocations to drive results at a much lower cost than more traditional means.
Are you ready to optimize your business operations with predictive scoring models? Tell us about your business needs via our contact form and receive a risk-free consultation from our team of data experts at Modern Analytics. We look forward to hearing from you.