Keyword data

carrefour: daily Google search volume

EN-US · Latest daily volume 892 (as of 2026-11-12)

carrefour at a glance

Latest daily volume: 892 (as of 2026-11-12) · Locale: EN-US

  • vs ~7 days earlier: -11.2%
  • vs ~30 days earlier: -27.4%
  • vs ~1 year earlier: -28.9%

Topic groups: Retail & Consumer Goods

  • In the 12 months to Nov 12, 2026, carrefour averaged 3,437 Google searches a day in the United States.
  • The busiest day was Jan 16, 2026, with 36,466 searches, 10.6× the daily average.
  • The 30 days to Nov 12, 2026 had 31,801 searches, up 39% from the 30 days before (22,926).
  • Friday is the strongest day of the week, averaging 3,635 searches, 6% above the average day.
  • The 45-day forecast expects about 0 searches a day, 100% 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

Carrefour is a global retail brand attracting significant interest. In the United States, search demand is strong, with daily volume around 892 and a monthly average of 91,652. As of 2026-11-12, interest reflects shoppers seeking stores, deals, delivery options, and investors monitoring performance and news — pricing, loyalty programs, store openings, and promotions.

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Why Is carrefour So Popular?

Carrefour most commonly refers to the French multinational retail group operating hypermarkets, supermarkets, and convenience stores across many countries. In French, carrefour also means “crossroads,” so searches can reflect both the brand and the generic term depending on context.

  • Retail brand context: People search for weekly offers, store locations/hours, delivery and pickup, loyalty programs, private-label products, customer service, careers, and corporate news.
  • Language context: As a general noun (“crossroads”), it appears in translations, literature, and place names.

Intent skews transactional and navigational (finding a store, deals, or ecommerce) with a strong informational component (policies, corporate updates, and how‑to queries). Popularity comes from the brand’s broad footprint, frequent promotions, and the expansion of e‑grocery and on‑demand delivery.

Search Volume Trends

The page data shows a recent daily value of 2,268 (2025‑08‑13) and an average monthly volume of 111,682, indicating sustained baseline interest punctuated by retail‑calendar spikes. Typical patterns you’ll see in the daily graph include:

  • Weekly rhythm: Noticeable weekday peaks vs. lighter weekends as shoppers plan grocery trips and online orders.
  • Promotional surges: Late‑November events (Black Friday/Cyber Monday), early‑January clearance, and back‑to‑school periods often lift interest.
  • Holiday seasonality: Pre‑holiday shopping (Nov–Dec) and regional events can amplify brand searches.
  • News and campaigns: Marketing pushes, app updates, delivery partnerships, or notable headlines can cause short, sharp spikes.

Monitoring the daily curve helps separate structural growth from event‑driven bursts, guiding timing, budgeting, and inventory decisions with precision.

How to Use This Data

For Marketing Agencies and Content Creators

  • Time campaigns to peaks: Align launches and promo content with predictable surges; throttle spend on softer days.
  • Editorial planning: Build weekly ads, recipe content, and store‑locator assets around rising daily interest.
  • Measure lift: Use day‑over‑day deltas to quantify creative or influencer impact within 24–72 hours.

For DTC Brands

  • Promo and merchandising: Map discounts and end‑caps to demand spikes; prepare inventory and staffing accordingly.
  • Omnichannel readiness: Scale delivery slots and customer support when daily volume accelerates.
  • Search capture: Optimize product pages and local SEO to intercept navigational queries for nearby stores.

For Stock Traders

  • Alternative data signal: Track sustained uptrends vs. one‑off spikes as potential sentiment or sales proxies.
  • Event studies: Compare pre/post daily search levels around earnings, guidance, or major announcements.
  • Anomaly detection: Flag unusual surges that precede news flow to inform watchlists and risk controls.

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