Daily Google Search Volume for hily

Overview

Hily is a fast-growing dating app brand people search to download, review, or troubleshoot. In the United States, interest is strong: the latest daily demand reached 217 searches on 2025-08-26, against an average monthly volume of 14,000. Daily granularity reveals intent spikes from campaigns, updates, weekends, and cultural moments, and seasonal peaks.

Why Is hily So Popular?

Hily most commonly refers to the dating app whose name abbreviates “Hey, I Like You.” As a brand query, people search it to download the app, check pricing and features, read reviews, or solve login/billing issues. The intent skews navigational and commercial (install/subscribe), with some informational research (safety, success rates, comparisons). Popularity is driven by social proof, influencer marketing, paid acquisition, and product features like AI matching, verification, and live video—all of which stimulate recurring branded searches.

Search Volume Trends

The page’s dataset shows a latest daily value of 1,086 (2025-08-13) alongside an average monthly volume of 14,000. That implies a rough baseline of ~467 searches/day and a ~2.3× lift on the latest reading—consistent with episodic surges atop a steady floor. Branded dating-app demand typically exhibits: (1) weekend lifts vs. weekdays; (2) event-driven spikes around New Year’s resolutions, Valentine’s season, and back-to-school; and (3) marketing- or product-driven pulses (paid bursts, major feature releases, PR). Monitor fast run-ups that plateau at a higher level (often sustained spend or improved app-store visibility) and watch for sharp reversals that suggest campaign wind-downs or news-cycle decay.

How to Use This Data

Daily search volume lets you attribute demand shifts precisely, validate strategy changes quickly, and forecast with fewer blind spots than monthly rollups. Use it to time spend, content, and operations to real demand—then measure impact within days, not months.

For Marketing Agencies and Content Creators

  • Campaign timing: Align paid bursts with rising daily curves; avoid overspending into downtrends.
  • Creative testing: Match messaging (features, safety, price) to what spikes coincide with—PR, app updates, or social chatter.
  • SEO/ASO cadence: Publish/update assets ahead of predictable peaks; claim SERP features for brand+modifier queries.
  • Attribution: Pair daily search with site sessions and app installs to quantify lag and incrementality.

For DTC Brands

  • Inventory & support staffing: Schedule capacity for login/billing surges when branded demand rises.
  • Promo scheduling: Drop offers just before expected lift periods to maximize conversion at peak intent.
  • Pricing tests: Use day-by-day demand elasticity to validate trial/intro pricing without contaminating a whole month.
  • Channel mix: Shift budget between paid search, social, and affiliates based on near-real-time brand pull.

For Stock Traders

  • Nowcasting: Track branded daily search as a proxy for top-of-funnel interest and potential MAU/DAU inflections.
  • Event reads: Distinguish durable product-driven climbs (plateaus at higher levels) from short-lived PR spikes.
  • Risk signals: Negative news or outages often show as abrupt demand dips—use for tactical hedging.
  • Earnings prep: Compare current 30–45 day trend vs. prior periods to inform catalyst positioning.