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ExecBolt

Published June 30, 2025

Consumer Confidence Index: What It Tells You About Spending

In an economy where consumer spending drives two-thirds of GDP, understanding how consumers feel about their financial prospects is not just useful — it is essential. The Consumer Confidence Index and its companion surveys translate sentiment into quantifiable data that predicts where retail sales, housing demand, and discretionary spending are heading before the hard data confirms it.

How Consumer Confidence Is Measured

The Conference Board surveys 5,000 U.S. households monthly, asking about current business conditions, employment availability, expected business conditions in six months, expected employment in six months, and expected family income in six months. Responses are converted into three indices: the Present Situation Index (current conditions), the Expectations Index (forward-looking), and the composite Consumer Confidence Index.

The FRED database provides historical confidence data alongside other consumer indicators. The index is benchmarked to 1985 = 100, so values above 100 indicate consumers are more optimistic than the benchmark year. Values above 120 typically indicate strong economic expansion, while drops below 80 have historically aligned with recessions.

Confidence as a Leading Indicator

Consumer confidence leads actual spending by 2-4 months. When confidence falls, consumers first cut discretionary spending — dining out, entertainment, travel, luxury goods — before reducing essential purchases. This sequencing gives businesses in discretionary sectors an early warning window. The Expectations component of the index has the strongest predictive power, as it captures forward-looking sentiment that has not yet materialized in spending data.

Large, sustained declines in confidence have preceded every recession since the Conference Board began its survey in 1967. However, not every confidence decline leads to a recession — temporary shocks from events like debt ceiling crises or geopolitical events can depress confidence without triggering sustained spending declines. Cross-reference confidence with retail sales data and leading economic indicators to distinguish between temporary sentiment dips and genuine economic deterioration.

Present Situation vs. Expectations: Reading the Components

The two sub-indices tell different stories. The Present Situation Index reflects how consumers feel about current conditions — it tends to be backward-looking and tracks closely with the unemployment rate. When jobs are plentiful, present situation confidence is high regardless of other concerns. The Expectations Index is more forward-looking and more volatile, capturing consumers' anxiety about the future even when current conditions are solid.

The most concerning signal is when the Expectations Index diverges downward from the Present Situation Index. This pattern — where consumers say things are fine now but expect deterioration — has historically preceded economic turning points. Track both components on the ExecBolt indicators dashboard and watch for this divergence pattern.

Michigan Consumer Sentiment: The Complementary Measure

The University of Michigan Consumer Sentiment Index provides a complementary perspective. While the Conference Board emphasizes labor market conditions, Michigan focuses more on personal financial expectations and, crucially, inflation expectations. The Michigan survey's 1-year and 5-year inflation expectations are closely watched by the Federal Reserve because they can become self-fulfilling — when consumers expect higher prices, they demand higher wages, creating the very inflation they anticipated.

For business leaders, the Michigan inflation expectations data is directly actionable. When consumers expect prices to rise, they are more tolerant of price increases, providing a window for repricing. When inflation expectations fall, consumers resist price increases more aggressively. Aligning your pricing strategy with consumer inflation expectations improves price acceptance and reduces customer friction.

Using Confidence Data in Business Planning

Integrate consumer confidence into your quarterly planning cycle. Before each quarter, review the latest confidence readings and their trajectory. A declining trend in confidence should trigger scenario planning for reduced revenue in consumer-facing businesses, even before actual sales data confirms the decline. An improving trend suggests the reverse — an opportunity to lean into growth spending.

Track confidence release dates on the economic calendar and pair them with consumer spending data. The most valuable insight comes from the relationship between the two: when confidence falls but spending holds up, consumers are drawing down savings — a pattern that is not sustainable. When confidence rises but spending lags, consumers are rebuilding financial buffers — a pattern that precedes spending acceleration once confidence stabilizes.

Frequently Asked Questions

The Consumer Confidence Index (CCI), published monthly by the Conference Board, measures consumers assessment of current economic conditions and their expectations for the next six months. It surveys 5,000 households on business conditions, employment availability, and income expectations. Values above 100 indicate optimism relative to the 1985 benchmark year.

Consumer spending accounts for roughly 68% of U.S. GDP. When confidence falls, consumers reduce discretionary spending and increase savings, directly slowing economic growth. Confidence declines of 20+ points have preceded every recession since 1970, typically by 6-12 months.

The Conference Board CCI focuses more on labor market conditions and near-term business outlook, while the University of Michigan Consumer Sentiment Index emphasizes personal financial expectations and inflation perceptions. The Conference Board survey is better at predicting employment trends; Michigan is better at predicting inflation expectations.

Consumer confidence should inform but not dictate business decisions. It is a useful leading indicator for retail sales, housing demand, and discretionary spending. However, confidence surveys can be influenced by partisan bias and media narratives that do not always translate into actual spending changes. Always cross-reference confidence data with hard data like retail sales and employment.