Corebrand Foresight Cloud

Predictive modeling

Success hinges on what will happen, not what has happened. The marketing mix models of the past are being scrapped because they suffer from a singular problem: difficulty in predicting the future with accuracy. Using the most sophisticated tools to predict future outcomes is the foundation of Corebrand Foresight. Customer segmentation, customer acquisition, loyalty, churn, cross-sell and lifetime value are but a few examples of how Corebrand Foresight can help you look ahead.

Omnichannel listening

Leveraging the power of natural language processing (NLP) is a logical first step and a smart addition for any company that wants to better understand customers, competitors and channels. Our unique approach unearths the truths underpinning your brand and driving the category. These insights help guide strategy, brand positioning, messaging, pricing and can help you address unseen opportunities or issues in real time. Omnichannel listening insights extend to a better understanding of brand attributes, customer sentiment, purchase drivers, social media trends, and campaign engagement.

Advanced forecasting

Machine learning models have forever changed the way forecasting is done. The power lies in the continuous improvement of the models as more data is processed over time. With each forecast, sensitivity and accuracy increase. With machine learning, your ability to see into the future with precision is nothing short of remarkable. Decision-making shifts from gut calls to data-driven precision free of human bias. Media spend optimization, revenue, profit, SKU sales, and seasonality are a few examples of the advanced forecasting available with Corebrand Foresight.

Behavioral modeling

Using machine learning algorithms to analyze and understand patterns in data that represent human behavior is the ultimate frontier of AI. This can include analyzing data from sensors, social media, and other sources to gain insights into how people interact with each other, your brand, and business operations. The goal of behavioral modeling is to predict and understand human behavior—insight that can be used for a variety of applications such as detection of ad campaign fraud, customer satisfaction anomalies, product quality problems, or service delivery issues

Selecting the right approach

Understanding your challenge and addressing it with the right solution requires experience and expertise. Our consulting team brings 20 years of experience in data analytics, branding, marketing and CX. We will help you identify the right solution for your needs.

Reviewing and cleaning data

A common misconception is that data must be perfect to employ AI, machine learning or natural language processing. Nothing could be further from the truth. Let us review your available data, make a data cleaning assessment and determine feasibility for use in modeling.

Generating powerful insights

Digging deeper and telling a story with data is fundamental to making real impact in any organization. Our team works closely with you to understand the issues and connect the dots, showing how data-driven insights can transform decisions, strategic investment  and, ultimately, your business.