Drive growth and retention in Marketing and Sales channels with predictive analytics. Our Marketing Science experts source fresh, relevant sources of signal and combine them with leading artificial intelligence (AI) techniques to find and prioritize the prospects who are most likely to engage and convert.
Propensity Modeling
Building machine learning (ML) models is the last step in propensity modeling. Finding and integrating timely, unique signal data is the true competitive differentiator.
We find and source the most relevant data to fuel high-performing predictive analytics models. With fresh signals and the latest ML techniques—deployed in a reproducible stack—we help leaders take proactive, well-timed measures to optimize their strategies.
Next-Best Action (NBA) Modeling
By integrating and analyzing customer data, preferences and behaviors, NBA modeling can help deliver more personalized and contextually relevant experiences across multiple channels.
We help clients connect the dots between the right buyer, right message and right content and then deliver it across third-party networks, first-party web properties and through the salesforce and partners in both B2B and B2C use cases.
Large Language Model (LLM) Training & Inference
Large language models are quickly evolving from coding buddies to true agents that can make decisions and get things done in-market.
We start with the LLM of your choice, train it on your unique marketing, sales and CX data, and then embed the use cases that will make the most impact. Our experts can set up LLM endpoints, pre-train and fine-tune models to understand data sets and run inference, informing strategic marketing activities like NBA—all in a test-and-learn environment, failing fast to learn true best practices.
