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  • April 12, 2023
  • Article
  • Harvard Business Review Digital Articles

Using AI to Adjust Your Marketing and Sales in a Volatile World

By: Das Narayandas and Arijit Sengupta
  • Format:Electronic
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Abstract

Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer journey. These firms are using AI to predict which customers are likely to churn, while their competitors react after the customers have already left. And when their predictions go off track because of external changes or market conditions, they use that feedback to quickly reorient and redirect their marketing and sales efforts. Using AI models to predict customer response has translated, in effect, to designing and running a large number of digital experiments that helped these firms respond to market changes faster than firms not using those tools. And while AI tools are far from infallible, they could reshape how we make decisions in functions such as marketing and sales and maintain a competitive advantage.

Keywords

Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage

Citation

Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
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About The Author

Das Narayandas

Marketing
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