Keyword data

consumer confidence: daily Google search volume

EN-US · Latest daily volume 181 (as of 2026-11-13)

consumer confidence at a glance

Latest daily volume: 181 (as of 2026-11-13) · Locale: EN-US

  • vs ~7 days earlier: -13.4%
  • vs ~30 days earlier: -37.2%
  • vs ~1 year earlier: -54.8%

Topic groups: Economic Distress

  • In the 12 months to Nov 13, 2026, consumer confidence averaged 237 Google searches a day in the United States.
  • The busiest day was Sep 29, 2026, with 1,535 searches, 6.5× the daily average.
  • The 30 days to Nov 13, 2026 had 8,817 searches, down 4% from the 30 days before (9,204).
  • Tuesday is the strongest day of the week, averaging 357 searches, 51% above the average day.
  • The 45-day forecast expects about 191 searches a day, 35% below the last 30 days' average.

Every figure is calculated from this keyword's daily Google search volume series. API access is available for subscribers. Check another keyword with the free keyword search volume checker.

Overview

Consumer confidence measures how optimistic households feel about the economy. In the United States, interest in this term is steady, with a latest daily search volume of 181 and an average monthly volume of 19,123. The most recent daily data was updated on 2026-11-13, enabling timely, actionable insights for marketing and forecasting.

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Why Is consumer confidence So Popular?

Consumer confidence refers to public sentiment about current and expected economic conditions. In practice, it appears in two main contexts: the general concept used by analysts and media, and specific indices (for example, headline measures from major research organizations). It is primarily informational intent, with secondary commercial interest (data platforms, research) and transactional behavior when professionals seek calendars, releases, or subscriptions. It’s popular in search because monthly index releases generate headlines, businesses track demand signals, and investors monitor sentiment as a leading indicator for spending and growth.

Search Volume Trends

Daily interest generally sits at a consistent baseline with recurring spikes around scheduled confidence index releases and macro-news. Expect higher activity near monthly report days (preliminary and final readings), central bank decisions, major inflation reports, recession chatter, labor market surprises, and election cycles. Seasonality often lifts curiosity around year-end holidays and early-year outlooks.

How to Use This Data

Daily search volume reveals real-time attention shifts that monthly averages smooth over. Use it to detect emerging narratives, time content, calibrate campaigns, and anticipate demand or risk—then measure whether interest sustains or fades within days.

For Marketing Agencies and Content Creators

  • Publish to the pulse: Schedule explainers and visuals on release days; refresh headlines when volume surges intraday.
  • Topic clustering: Pair consumer confidence with related FAQs (drivers, methodology, historical highs/lows) when attention spikes.
  • Channel mix: Shift paid/organic emphasis to platforms where interest rises fastest that day.
  • Measure resonance: Map content CTR/engagement against daily search to validate angles.

For DTC Brands

  • Demand signaling: Rising daily interest can foreshadow cautious consumer behavior—adjust promotions or messaging accordingly.
  • Pricing tests: Trial value props or financing options when sentiment interest spikes.
  • Inventory posture: Use multi-day trends to modulate reorders and campaign intensity.
  • Customer education: Publish short guides linking sentiment to budgeting, savings, or big-ticket timing.

For Stock Traders

  • Event calibration: Daily search surges pre/post releases can proxy positioning or news sensitivity.
  • Sector mapping: Track spillover to retail, discretionary, travel, and housing tickers.
  • Nowcasting: Combine daily interest with alternative data to anticipate consumer-spend inflections.
  • Risk management: Fade transient spikes or lean in when attention persists across sessions.