Keyword data

`tinder`: daily Google search volume

EN-US · Latest daily volume 28,150 (as of 2026-11-13)

tinder at a glance

Latest daily volume: 28,150 (as of 2026-11-13) · Locale: EN-US

vs ~7 days earlier: -6.8%
vs ~30 days earlier: -2.2%
vs ~1 year earlier: -14.1%

Topic groups: Online Dating

In the 12 months to Nov 13, 2026, tinder averaged 31,915 Google searches a day in the United States.
The busiest day was Aug 23, 2026, with 51,780 searches, 1.6× the daily average.
The 30 days to Nov 13, 2026 had 865,523 searches, up 3% from the 30 days before (843,999).
Sunday is the strongest day of the week, averaging 34,829 searches, 9% above the average day.
The 45-day forecast expects about 26,637 searches a day, 8% 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

Tinder is a high-intent dating keyword with strong, persistent demand in the United States. Todays interest shows a daily baseline near 28,150, with broader reach averaging 993,754 monthly. Our freshest index updates through 2026-11-13, enabling timely planning, performance benchmarking, and campaign pacing across channels. Use insights to time launches and optimize budgets.

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We'll email you when daily volume breaks its 45-day forecast, drops sharply, or starts climbing toward its seasonal peak.

Why Is `tinder` So Popular?

tinder refers to two common concepts: (1) the globally known dating app where people swipe to match and message; and (2) the flammable material used to start fires. In search, the brand dominates. Intent skews navigational (logins, downloads), with strong informational (how-tos, safety, features) and commercial (subscriptions, upgrades) layers. Popularity is driven by massive user adoption, constant product updates, social buzz, and recurring moments when people seek new connections.

Search Volume Trends

The daily time series typically shows a high baseline with pronounced weekly cycles (weekend lifts, midweek dips) and predictable seasonality around social and dating moments (New Yeara0resolutions, Valentinea0a0Day, back-to-school). Spikes often align with app feature launches, policy changes, outages, or viral media coverage. The combination of very large monthly reach and significant, short-lived pulses makes this keyword both stable and event-reactive. Monitoring the daily curve helps separate structural growth from news-driven surges and detect when interest accelerates ahead of campaigns or announcements.

How to Use This Data

Daily search volume unlocks granular timing, sensitivity analysis, and faster feedback loops than monthly aggregates. Use it to pace budgets, test messages, and respond to real-world events with precision.

For Marketing Agencies and Content Creators

Time content drops and social pushes to coincide with weekend peaks and seasonal spikes.
Prioritize topics from related queries (logins, safety, features) when daily interest inflects.
Use day-over-day deltas to attribute lift to creative, PR hits, or influencer moments.
Benchmark client performance against brand-level interest to show incremental impact.

For DTC Brands

Align promotions with dating-driven seasonality to capture higher-intent traffic.
Shift spend intra-week toward peak days for lower CPAs and stronger ROAS.
Detect demand shocks early (positive or negative) and adjust inventory or CX resourcing.
Map daily search to CRM sign-ups to refine attribution and forecast conversion.

For Stock Traders

Treat sustained daily interest changes as a potential leading indicator for MAU/engagement.
Differentiate transient PR spikes from multi-day trend breaks before earnings.
Cross-check volume inflections against product releases, policy changes, or outages.
Incorporate daily series into alternative data models for sentiment and demand nowcasting.