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.
Similarity Based Explainable AI (XAI) is an Analytic Workbench for Marketing
100% of marketers agree that it’s risky not to adopt Explainable AI enabled Dynamic Predictive Segmentation. See how integrating Explainable AI into your existing workflow can impact your marketing strategy.
simMachines Provides Unparalleled Transparency Into AI Predictions
High precision with local prediction transparency
Single pass prediction and clustering function
Easy to use, with advanced capabilities for Data Scientists
Dynamically weighted factors by prediction
Used controlled cluster granularity
Predictive factors easily integrate into decision systems
Maximizing Customer Interactions Requires Instant & Complete Insights That Create Relevant Experiences
Interactions
Insights
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
Supply/Demand Forecasting
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.
Use cases
simMachines supports use cases for marketing spanning customer lifecycle predictions, dynamic predictive customer segmentation, customer experience management, sales forecasting, trending, and analysis.
Churn Prevention
Large international telecommunications provider needed to reduce churn for pre-paid phone cards.
Sales Forecasting and Customer Lifetime Value
Specialty retailer needed to calculate the future sales and lifetime value of customers.
Machine Learning Fraud Prevention
Top 3 financial institution wanted to speed up ability to implement ML fraud detection solutions for e-commerce clients, enable continuous learning, and expose the factors driving the fraud.
Shopper Reactivation
Leading specialty apparel brand retailer needed to improve precision of targeting prior customers for reactivation to improve campaign efficiency and sales.
Dynamic Predictive Customer Segmentation
E-commerce pet supplement provider wants to shift purchase volume from Amazon to direct, online channels.
Digital Identity Resolution
Large scale DMP needed to improve linkages across devices associated with single users.
One-to-One AB Testing Measurement
Large scale agency interested in more efficiently matching test and control groups with greater precision and understand ad effect at a one to one vs. stratified sample level for client measurement projects.
B-to-B Intelligent Lead Modeling
Large scale telecom provider that offers hi-speed internet and phone to businesses needed new solution that could quickly predict likely to purchase / upgrade with detailed explanations to inform sales reps as to Why.
Automated Online Product Purchase Classification
Large scale business intelligence platform provider wanted to be able to automate the classification of millions of products sold online to pre-set categories.
Media Spend Forecasting
Client needed to automate media spend forecasts to eliminate significant manual labor costs. Given the explainability factors of simMachines, the client was interested in leveraging our technology to understand the drivers of these behaviors.
Survey Modeling
Market research firm needed to segment survey responses in a variety of ways to uncover valuable insights for client product and marketing planning.
Automated Customer Segmentation
Large scale subscriber-based telecom provider assigns customers to segments based on survey responses but wasn’t happy with its level of accuracy and speed.
Automated Contextual Content Segmentation
Large scale digital ad tech provider needed to generate more contextual content segments from online URL pages faster on a global basis in multiple languages to ingest into audience segmentation products.
Call Prioritization Scoring
An online health insurance organization needed to automate lead call prioritization based on likely to convert and LTV calculations with greater precision.
Dynamic Predictive Audience Propensities
Marketing services partner with thousands of global clients needed to automate and upgrade propensity models for data products and client data projects to a rate of hundreds per week from ~10 per week.
Dynamic Predictive Customer Segmentation
Leading agency is dealing with escalating data science resource costs, while needing to drive customer segmentation projects for large scale clients without increasing their prices, faster and with greater throughput.
Customer Acquisition – Credit Worthiness
An international bank client provides loans to small businesses. Our client needed a custom, predictive engine that would help quickly determine the credit worthiness of a small business owner.
Audience Digital Measurement
How do you analyze a massive stream of internet activity data? DataPulse is a joint venture between JAS Global Advisors and simMachines, formed around combining unique data assets for internet traffic monitoring with simMachines’ similarity-based machine learning technology.
Sales, Product Usage and Retention Forecasting
Top 3 retailer needs to forecast product level sales, usage, and ongoing retention of customers who have purchased a product, starting with high-end electronics and virtual reality products.
E-Commerce Fraud Detection
Top 3 financial institution wanted to speed up ability to implement ML fraud detection solutions for e-commerce clients while gaining transparency into the factors predictive of fraud.
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*The Insights-Driven Business, July 2016, Forrester Research
