cbs at a glance
Latest daily volume: 15,175 (as of 2026-11-12) · Locale: EN-US
- vs ~7 days earlier: 7.6%
- vs ~30 days earlier: 9.6%
- vs ~1 year earlier: -17.3%
Topic groups: Entertainment & Media
- In the 12 months to Nov 12, 2026,
cbsaveraged 16,135 Google searches a day in the United States. - The busiest day was Mar 19, 2026, with 71,420 searches, 4.4× the daily average.
- The 30 days to Nov 12, 2026 had 503,856 searches, down 4% from the 30 days before (526,466).
- Sunday is the strongest day of the week, averaging 22,094 searches, 37% above the average day.
- The 45-day forecast expects about 15,240 searches a day, 9% 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
Cbs attracts heavy interest in the United States. The latest daily search volume is 15,175, contributing to a robust monthly average of 501,744. As of 2026-11-12, searches reflect live TV, news, and sports needs, with navigational queries driving brand discovery, schedules, and streaming access across mobile, desktop, and connected TV platforms daily.
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Why Is cbs So Popular?
CBS is the Columbia Broadcasting System—an American broadcast television and radio network known for primetime entertainment, CBS News, and CBS Sports. Queries are often navigational (finding the network, schedule, or stream) and informational (show details, news coverage). In other contexts, CBS can also mean Copenhagen Business School or Core Banking System in fintech discussions.
- U.S. TV network (primary intent): access to live news, sports, local affiliates, and show pages.
- Brand extensions:
CBSNews 24/7 streaming,CBSSports scores, highlights, and live events. - Other acronyms: Copenhagen Business School (academia) and Core Banking System (enterprise software).
Overall, interest is driven by live programming (NFL, March Madness), breaking news, and hit series—making the query predominantly navigational and informational, with some commercial/transactional intent around streaming subscriptions.
Search Volume Trends
Daily interest in cbs is event-driven with pronounced weekly seasonality (evenings and weekends). Spikes commonly align with tentpole broadcasts: NFL Sundays and playoffs, March Madness, awards shows (e.g., the Grammys when carried), fall season premieres, and high-impact breaking news. Midweek daytime typically settles into lower, baseline demand.
The chart’s pattern shows sharp surges around live moments followed by quick normalization. This volatility elevates the monthly mean, while most ordinary days sit below it—underscoring why daily granularity matters for timing campaigns, forecasting traffic, and separating durable growth from short-lived event spikes.
How to Use This Data
For Marketing Agencies and Content Creators
- Time content to tentpoles: publish previews the day before, real-time social during, and recaps immediately after broadcasts.
- Daypart paid search and social: increase bids and budgets in peak windows; pull back in troughs to improve ROAS.
- Align video drops with live events to capture second-screen attention and incremental reach.
- Forecast newsroom traffic and staff accordingly for breaking news surges.
For DTC Brands
- Pair promotions with live events that index for your audience; sync offers with kickoff/tipoff and primetime slots.
- Scale budgets dynamically during spikes; schedule ad delivery to coincide with peak second-screen activity.
- Coordinate CTV and second-screen CTAs to convert real-time demand; prepare site capacity and CX for surges.
- Use daily patterns for inventory planning, support staffing, and post-event follow-up campaigns.
For Stock Traders
- Treat query volume as an alternative data proxy for engagement with the
CBSecosystem; compare year-over-year around tentpoles. - Track deviations from baseline to infer advertising demand and audience reach; pair with ratings, app ranks, and social signals.
- Model event-driven spikes vs. trend growth to inform short-term sentiment around related equities.
- Control for confounders (non-network news spikes) and validate with multiple, independent indicators.
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