Confounded by consumer purchase decisions? Consumer decision process modeling takes the guesswork out of revenue growth
Consumer decision process (CDP) modeling is a combination of traditional market research and unique quantitative modeling that takes the guesswork out of why consumers do or do not buy.
Is your company ready to grow? Do you know why the next consumer will buy from your company, or buy from your competitor? Can you win more share in your market without knowing why you don't win every consumer? Consumer decision process (CDP) modeling is a combination of traditional market research and unique quantitative modeling that takes the guesswork out of why consumers do or do not buy. With CDP, companies utilize detailed consumer insights to break down why consumers buy into strategies they can use to capture market share and grow incremental revenue.
Eighty-three percent of CEOs surveyed in the IBM Global CEO Study will be focusing on revenue growth as the key factor in strengthening their companies' financial performance over the next three years. These CEOs identify new products and services as the greatest opportunities for growth, but realize that achieving fast, efficient growth requires capturing a greater share of existing consumers and introducing their existing core products into the right new channels and markets. Answering the call for rapid growth means companies have to cover more ground than they used to, squeezing more revenue from existing products and grabbing market share when the opportunity arises. However, knowing what it takes to win more consumers with existing products continues to be difficult.
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