Noah Bensenton Discusses Economic Indicators and Consumer Behavior: Predicting Trends in Discretionary Spending

Noah Bensenton Discusses Economic Indicators and Consumer Behavior: Predicting Trends in Discretionary Spending
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Noah Bensenton spends a considerable share of his week studying numbers that most households never think about, and those figures are vital as they quietly dictate if a family upgrades its car, books a vacation, or delays a kitchen renovation for another year.

Discretionary spending, the portion of household income left over after essentials like housing, food, and healthcare are covered, has become one of the more closely watched barometers of economic health in 2026. Analysts and wealth managers alike are parsing consumer behavior data with unusual intensity, largely because the picture forming beneath the surface looks far more uneven than headline retail figures suggest.

Reading the Gap Between Inflation and Income Growth

Real income growth relative to inflation functions as one of the more reliable early warning signals for discretionary spending contraction. When wage gains fail to outpace price increases, consumers typically pull back on non-essential purchases within a matter of months, and that pullback tends to show up in categories like furniture or dining out well before it registers in aggregate retail statistics.

Economists tracking the Personal Consumption Expenditures index alongside disposable income data have noted that the relationship between these two metrics offers a leading indicator that frequently outpaces sentiment surveys. Current data paints what many economists now describe as a K-shaped recovery, where higher-income households continue spending at a healthy clip while middle and lower-income consumers face genuine structural pressure.

Retail sales growth has been resilient on paper, but that resilience masks meaningfully different experiences depending on where a household sits on the income spectrum. Bensenton witnesses this bifurcation directly in conversations with clients across different wealth tiers.

“The consumer isn’t monolithic anymore, and treating national retail numbers as a single story misses what’s actually happening at the household level,” he says.

Consumer Credit and the Limits of Spending Momentum

Revolving credit balances have climbed substantially in recent years, and that trend carries real implications for how sustainable current discretionary spending patterns actually are. Rising credit card debt can temporarily mask underlying income pressure, allowing consumption to continue even as real purchasing power stagnates for a meaningful share of households.

Debt service ratios have stayed manageable in aggregate, but manageable at the macro level does not guarantee comfort for individual families carrying elevated balances into an uncertain rate environment.

Credit utilization patterns matter enormously to anyone attempting to forecast where discretionary spending heads next, since households leaning on revolving debt to fund non-essential purchases represent a fragile form of demand instead of durable strength. Bensenton points out the direct line between credit behavior and portfolio positioning when advising clients on consumer-exposed holdings.

“Rising credit balances can flatter a retailer’s quarterly numbers for a while, but that kind of borrowed demand tends to reverse sharply once households hit their comfort ceiling,” he notes.

That reversal risk shapes how he and other professionals like him evaluate equity exposure tied to consumer discretionary sectors within client portfolios.

Generational Divergence Reshaping Spending Forecasts

Age cohort represents another variable reshaping how analysts model future consumption, and the divergence between generations has widened considerably. Younger consumers, particularly those under thirty-five, have shown a willingness to increase discretionary spending even amid broader economic caution, entering peak earning years with different financial habits than the generations ahead of them.

Older consumers, by contrast, have grown markedly more conservative, with households aged sixty-five and above projecting some of the sharpest pullbacks in planned spending for the year ahead. The generational split complicates traditional forecasting models built around aggregate demographic assumptions as opposed to cohort-specific behavior.

Retailers and investors chasing growth increasingly find themselves needing separate strategies for capturing younger, more willing spenders while managing exposure to categories favored by increasingly cautious older consumers. Bensenton relates this shift directly to equity research within the consumer sector.

“Younger cohorts are becoming the structural growth engine for discretionary categories, and companies that fail to adjust their positioning around that reality will struggle to justify current valuations,” he explains.

Tariff Pressures and Goods Inflation Working Through the System

Tariff-related price adjustments introduced meaningful volatility into goods inflation throughout the past year, creating temporary spikes that complicated efforts to distinguish cyclical noise from structural change. Those pressures have begun easing, though the lagged effects continue working through supply chains and retail pricing in ways that vary considerably by product category.

Apparel, electronics, and other categories like home goods have each absorbed tariff impacts differently, and that unevenness makes sector-level analysis considerably more valuable than broad market commentary. Fiscal stimulus measures, including recent tax policy adjustments, have provided temporary liquidity support to middle-class households, though the durability of that support is an open question among economists.

Front-loaded tax refunds and legislative stimulus can create a short-term bump in retail activity that does not necessarily reflect sustainable underlying demand. Distinguishing between genuine consumer strength and policy-driven temporary boosts requires the kind of granular, data-driven analysis that separates disciplined forecasting from headline-chasing.

Positioning Portfolios Around Uneven Consumer Strength

Investment strategy built around consumer discretionary exposure benefits enormously from granular economic indicator analysis instead of reliance on broad retail sales headlines. Large-cap retailers with strong technological integration and personalized retail infrastructure have demonstrated more resilience than smaller competitors lacking similar scale, suggesting that company-specific fundamentals matter more than ever within an uneven consumer landscape.

Sector rotation decisions increasingly hinge on identifying which companies can maintain margins amid selective consumer spending. Wealth accumulation strategies that account for K-shaped consumer dynamics tend to outperform those built around outdated assumptions of uniform household behavior across income and age brackets.

Fundamental balance sheet analysis, paired with close attention to credit trends, generational spending patterns, and policy-driven demand fluctuations, provides a considerably clearer lens for predicting where discretionary spending heads next.

Families building long-term financial legacies benefit from advisors who track these granular indicators before reacting to whichever retail headline dominates the news cycle that week, since sustainable portfolio construction depends on distinguishing durable consumer strength from temporary, borrowed, or unevenly distributed momentum.

Noah Bensenton is a Senior Wealth Advisor at Veridian Hearth Wealth Management in Chicago, specializing in capital growth, tax-loss harvesting, and equity research for multi-generational families.

Disclaimer: This article is for informational purposes only and does not constitute legal, tax, or investment advice. Consult a qualified estate planning attorney and financial advisor before implementing any charitable or wealth structuring strategy.