Revolutionizing Digital Marketing Analytics
The digital transformation of customer-facing sales and service functions leveraging artificial intelligence and machine learning is rapidly creating winners and losers. According to Forrester Research, those that excel “will steal $1.2 trillion dollars from those that don’t by 2020*.”
In order to stay relevant and compete effectively in today’s competitive landscape, every customer interaction must be maximized via rich, highly precise insights that inform the right actions and dialogs.
Challenges with Static Segmentation
Marketers cannot afford to be irrelevant in the digital world, and inability to serve customers in the time of need augments that risk. In fact, 98% of marketers suffer from a long list of issues with static segmentation, from insufficient actionable detail to segments that don’t update based on changing customer behaviors to a lack of precision. The takeaway: static segmentation cannot keep up in the digital age.
Maximizing Customer Interactions Requires Instant & Complete Insights That Create Relevant Experiences
Machine Learning for Marketing
Today’s marketers and advertisers need the scale and speed of machine learning in order to keep pace with increased consumer expectations for relevancy. simMachines marketing applications leverage proprietary algorithms to provide precise predictions and rich insights through transparency at speed and scale. We enable clients to quickly and significantly upgrade insight-driven marketing capabilities.
Machine Driven Customer Lifecycle Predictions
Dynamic Predictive Customer Segmentation
Contextual Customer Experience Predictions
Customer Trending & Analysis
Anomalous Pattern Detection
Call Center/Social Media Analysis
“Dynamic predictive segmentation (DPS) is the future. Marketers require analytics-driven tools and it’s no surprise that dynamic predictive segmentation is the fastest growing segmentation method. Perceived benefits of adopting DPS include discovery of new opportunities, ability to react more quickly to competitors, increased customer engagement, and improved customer experience.”
Capture The Customer Moment With Dynamic Predictive Segmentation, a January 2018 commissioned study conducted by Forrester Consulting on behalf of simMachines.
simMachines supports use cases for marketing spanning customer lifecycle predictions, dynamic predictive customer segmentation, customer experience management, sales forecasting, trending and analysis.