White Paper

Forecasting demand for consumer goods has always been time-consuming, contentious, and frustrating. But over-weighting the historicals makes forecasting significantly more difficult during times of intense inflation. As prices fluctuate rapidly and consumer behavior shifts, it can be a struggle to draw projections for the future based on past events and data. This is a scary …

Is Inflation Deflating Your Brand’s Demand Planning Efforts Read More »

Skincare is the fastest-growing segment of the beauty industry, with the global skincare products market evaluated at USD 141.83 billion. With millions of consumers turning to YouTube and TikTok in search of miracle ingredients and affordable dupes, there’s plenty of opportunity to reach your buyers—and plenty of competition. In this white paper you will learn:

Just as we should add new products to our skincare routines to improve our complexion, adding advanced data analytics to your business routine can help improve your company’s bottom line. But like finding the right products for your skin type, finding ways to enhance your demand forecasting techniques can feel overwhelming. In this white paper …

Add AI To Your Skincare Company’s Routine For Better Forecasting Results Read More »

Identifying when a business is ready for a loan doesn’t need to be a guessing game. We’ve analyzed macroeconomic factors and data on UK private companies – including balance sheet and transaction data – and identified powerful predictive signals to support new business acquisition. In this white paper you will learn:

CPG companies are facing more uncertainty than ever, and traditional analytic methods are not up to the challenge.  Consumer behavior is shifting rapidly, upending the ability to accurately set prices, run profitable promotions, forecast demand and effectively manage advertising spend. There are many new factors that are impacting this shift, such as Covid-19 and rising …

Case Study: Interactive Prescriptive Analytics Read More »

Many large retailers analyze historical data to project future marketing budget allocations using a marketing modeling mix (MMM) approach.  This descriptive approach however, has its limitations. Using data that is up to six months old to optimize budgets for a dynamic market in which customers, markets and media channels and tools are constantly changing, does not deliver the …

The Key to Optimizing Retail Marketing Budgets at Data Driven Companies Read More »

Insurers want to effectively cross-sell policies to consumers, but traditional predictive approaches have had limited results. WorldQuant Predictive’s team believed they could improve marketing conversion rates and outcomes in this vertical. In a recent test, they leveraged the latest technologies and machine learning methodologies to yield a conversion rate of more than 43%, with a …

Mining with a Model Factory Read More »

Companies that use data and AI tools to see around corners and predict customer behavior, sales and risks have a significant competitive edge. Accurate predictions also make for healthier bottom lines. While rich in data these days, most businesses are not getting the most out of their analytics. There are three critical components that need …

Three Critical Components Data-Driven Companies Need to Make Their Business Predictions More Accurate Read More »

CDTs are powerful visual illustrations of how customers make purchasing decisions based on a product’s features and characteristics. At WQP, we leverage proprietary methodologies, data and technology to overcome the three main challenges to developing meaningful CDTs: data, readability, and speed. In this whitepaper, we explain how our predictive methodology solves for the known issues …

Achieve 5-10% Growth With Prediction Technology Read More »