Consumer Sentiment: What Confidence Surveys Reveal About Markets
Learn how UMich Consumer Sentiment and Conference Board Confidence surveys work, their predictive power for spending, and why extremes serve as contrarian signals.
The Two Major Consumer Sentiment Surveys
Two flagship surveys dominate the consumer sentiment landscape: the University of Michigan Consumer Sentiment Index and the Conference Board Consumer Confidence Index. The UMich survey, conducted by telephone among roughly 500 households per month, has a preliminary release around mid-month and a final release at month-end, making it one of the most timely sentiment measures available. It asks consumers about their personal financial conditions (current and expected) and their outlook for the broader economy over the next one and five years. The Conference Board survey, released on the last Tuesday of each month, polls approximately 3,000 households and focuses more heavily on labor market perceptions, asking respondents whether jobs are plentiful, available, or hard to get. This jobs differential question has historically been one of the best coincident indicators of the unemployment rate. While both surveys aim to gauge the consumer mood, they often diverge because of their different methodological emphases, sample sizes, and question framing, creating opportunities for investors who understand what each survey actually measures.
How Consumer Sentiment Drives Economic Activity
Consumer spending accounts for approximately 70% of US GDP, making the consumer mood a critical input into economic forecasting. When consumers feel confident about their job security, income prospects, and the economic outlook, they are more willing to make large purchases like homes, cars, and appliances, and more likely to carry higher credit balances. This confidence-driven spending creates a self-reinforcing cycle: optimistic consumers spend more, boosting corporate revenues and hiring, which further improves confidence. The expectations component of sentiment surveys tends to lead actual spending by one to three quarters, providing a forward-looking signal for the consumer sector that is valuable for positioning in discretionary stocks, retailers, homebuilders, and auto manufacturers. However, the relationship between sentiment and spending is far from mechanical, and sentiment surveys have generated numerous false signals over the decades, particularly during periods of political polarization where partisan identity contaminates economic assessments.
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The Sentiment vs Behavior Disconnect
One of the most important findings in behavioral economics is that what consumers say in sentiment surveys often diverges significantly from what they actually do with their wallets. Consumers can report deeply pessimistic sentiment while simultaneously increasing their spending, a phenomenon that became strikingly apparent in 2022-2023 when UMich sentiment plunged to near-record lows while retail sales and consumer spending remained resilient. This disconnect arises for several reasons: survey responses are influenced by media narratives, political partisanship, and gasoline prices (which are highly visible and emotionally salient even though they represent a small share of total spending), while actual spending decisions are driven more by employment status, income growth, wealth effects from home and stock prices, and credit availability. Partisan bias has become an increasingly severe contamination of sentiment data, with consumers from the party out of power systematically reporting far worse sentiment regardless of actual economic conditions. Investors who blindly trade sentiment surveys without accounting for this disconnect will be frequently wrong-footed.
Contrarian Signals at Sentiment Extremes
While sentiment surveys are unreliable as linear predictors of spending, they become highly valuable as contrarian indicators at extremes. When consumer sentiment reaches multi-decade lows, as it did in mid-2022, it tends to mark peak pessimism: consumers have already pulled back on discretionary spending, expectations are maximally depressed, and any marginal improvement in conditions produces an outsized positive response in both sentiment and behavior. Historically, buying equities when UMich sentiment drops below 55 has produced above-average forward returns over 6-12 month horizons. Conversely, when sentiment reaches euphoric highs above 100, consumers are typically already fully extended in their spending, leaving little room for upside surprise. The Conference Board's expectations component falling below 80, particularly when it diverges sharply below the present situation component, has preceded every recession since 1970 with relatively few false positives. Using sentiment as a regime indicator rather than a directional predictor is the correct framework.
Integrating Sentiment with Market Analysis
The most effective use of consumer sentiment data combines the survey readings with corroborating market and economic indicators. Pair UMich sentiment with the CNN Fear & Greed Index, AAII investor sentiment surveys, and the VIX to build a comprehensive picture of sentiment across both consumer and investor populations. When consumers and investors are simultaneously pessimistic, the contrarian buy signal is strongest because it reflects broad-based capitulation rather than a pocket of negativity in one segment. Track the spread between current conditions and expectations components: a widening gap where expectations deteriorate while current conditions hold suggests consumers fear the future but haven't yet felt real pain, which is an early warning of potential spending retrenchment. Monitor sentiment alongside real-time spending data from bank card transactions and weekly retail sales to determine whether the sentiment signal is leading behavior or merely reflecting noise. The UMich inflation expectations component, which tracks one-year and five-to-ten-year inflation outlooks, is closely watched by the Federal Reserve and can move bond markets independently of the headline sentiment number.
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