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Articles / retail-consumer-tech / CFOs Pull Forecasting Insights From Payments Data, Not Economic Headlines

CFOs Pull Forecasting Insights From Payments Data, Not Economic Headlines

May 18, 2026 · Source: pymnts.com · Topic:  retail-consumer-tech · fintech
Consumer Expense Management Difficulty
51%
Percentage of consumers reporting difficulty in managing daily expenses.
Daily Spending Reduction
60%-75%
Range of consumers across all age groups who have reduced their daily spending.

⦿ Executive Snapshot

  • What: CFOs are shifting their focus from traditional economic indicators to payments data for forecasting consumer behavior.
  • Who: Chief Financial Officers (CFOs) across various consumer sectors including retail, travel, hospitality, financial services, healthcare, and consumer technology.
  • Why it matters: The change signifies a broader adaptability in finance operations, as reliance on outdated economic signals could lead to misjudged consumer resilience and demand forecasts.

⦿ Key Developments

  • 51% of consumers report that their daily expenses are difficult to manage according to a recent PYMNTS report.
  • Between 60% and 75% of consumers in every age group have reduced their daily spending.
  • CFOs are increasingly analyzing metrics such as debit-versus-credit mix, installment financing adoption, and payment retry rates as indicators of consumer stress.

⦿ Strategic Context

  • The traditional relationship between solid employment and healthy consumer spending is deteriorating, necessitating a recalibration of risk models by CFOs.
  • As economic signals lose predictive power, businesses that adapt to behavioral shifts in consumer spending may gain a competitive advantage.

⦿ Strategic Implications

  • Immediate implications include a shift in how CFOs forecast liquidity and operational resilience, relying more on real-time payments data.
  • Long-term implications suggest that finance teams will need to integrate advanced analytics and payment intelligence to remain adaptable in a rapidly changing consumer environment.

⦿ Risks & Constraints

  • Potential risks include the increasing unpredictability of consumer spending patterns, which may lead to misaligned business strategies.
  • There may be challenges in integrating new data systems and technologies that can adequately capture and analyze evolving consumer behavior.

⦿ Watchlist / Forward Signals

  • Watch for developments in real-time analytics infrastructure investments by finance teams aiming to enhance payment visibility.
  • Future changes in consumer spending patterns and payment behaviors will serve as critical indicators for CFOs adjusting their operational strategies.
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