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Keyword data

apex legends: daily Google search volume

EN-US · Latest daily volume 3,005 (as of 2026-11-13)

apex legends at a glance

Latest daily volume: 3,005 (as of 2026-11-13) · Locale: EN-US

  • vs ~7 days earlier: -17.1%
  • vs ~30 days earlier: -1.4%
  • vs ~1 year earlier: -5.3%

Topic groups: Gaming

  • In the 12 months to Nov 13, 2026, apex legends averaged 4,169 Google searches a day in the United States.
  • The busiest day was Apr 4, 2026, with 10,551 searches, 2.5× the daily average.
  • The 30 days to Nov 13, 2026 had 104,656 searches, down 1% from the 30 days before (105,196).
  • Sunday is the strongest day of the week, averaging 4,465 searches, 7% above the average day.
  • The 45-day forecast expects about 3,335 searches a day, close to 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

Apex legends is a fast-rising gaming keyword in the United States. On 2026-11-13, daily interest reached 3,005, while average demand sits at 127,091 monthly. Daily granularity exposes season launches, patches, and esports-driven spikes, enabling timely content, ads, and inventory decisions that capitalize on real player attention for marketers, publishers, and retailers alike.

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Why Is apex legends So Popular?

Apex Legends is a free-to-play, squad-based hero-shooter battle royale from Respawn Entertainment and Electronic Arts. It primarily refers to the video game and related topics (seasons, patch notes, ranked, skins, crossplay, servers). Search intent skews informational and navigational, with commercial sub-intent around battle passes, bundles, and cosmetics. Popularity persists due to frequent seasonal updates, limited-time events, cross-platform play, and a robust creator and esports ecosystem that continuously sparks fresh queries.

Search Volume Trends

Daily data typically shows pronounced peaks around new Season launches, collection events, and major patches; moderate mid-season pulses for balance updates; and weekend/tournament-driven bumps. The latest daily value and strong monthly average indicate a durable baseline with episodic surges. In the U.S., school breaks and holidays often lift gaming interest, while content lulls depress it. Track day-over-day deltas and rolling 7/30-day averages to separate structural trend from event noise.

How to Use This Data

Leverage the day-level series to time campaigns, content, and decisions to real player attention, not monthly averages. Use alerts on spikes, compare events versus baselines, and align actions to demand cycles.

For Marketing Agencies and Content Creators

Plan and publish around forecasted spikes (season drops, ALGS finals, patch days). Match topics to live interest and measure lift.

  • Editorial: Pre-build pages for next Season, patch notes, tier lists, and "best loadouts"; push within hours of spikes.
  • SEO: Capture long-tail ("server status", "season release time", "rank reset") timed to demand windows.
  • Paid: Increase bids/creatives on spike days; pause/rotate when demand cools to protect ROAS.
  • Social/Video: Sync Shorts/TikToks and streams with patch beats to maximize discovery.

For DTC Brands

Use demand pulses as signals for gamer-focused promotions and inventory decisions.

  • Merch & peripherals: Time drops and bundles to content updates and tournaments.
  • Affiliate: Align landing pages and offers (skins-themed, battle-pass adjacent) with peak discovery.
  • Attribution: Compare daily search lift against sessions/revenue to quantify gaming-driven sales.

For Stock Traders

Treat daily search volume as alternative data for engagement momentum.

  • Nowcasting: Correlate spikes with concurrent player metrics, store rankings, and Twitch viewership.
  • Event study: Measure abnormal search around updates/ALGS to anticipate user/revenue beats for related tickers.
  • Risk: Watch for negative spikes (server outages, delays) and divergence between hype and playtime.

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