Daily Google Search Volume for robinhood

Overview

Robinhood attracts significant interest in the United States. The latest daily demand is 38,711, with a rolling monthly average of 1,027,738. Data is refreshed continuously; the current series extends through 2025-08-27. Use this page to gauge real-time retail-investing attention, campaign timing, and event-driven surges. Benchmark seasonality, monitor news impacts, and plan launches.

Why Is robinhood So Popular?

Robinhood has two dominant meanings: the folklore hero who “robs the rich to give to the poor,” and Robinhood, the U.S. broker and investing app. Searches primarily target the brand (navigational/transactional), while a minority seek the legend (informational). The app’s commission-free trading, fractional shares, crypto access, and cultural relevance keep query volume high.

Search Volume Trends

The daily chart on this page shows a high baseline with pronounced event-driven peaks. Volume tends to surge around major market news, product launches, outages/policy changes, meme-stock episodes, and crypto volatility. Expect clear weekday/weekend seasonality (higher Mon–Fri, softer Sat–Sun). The current monthly average indicates durable brand demand with periodic spikes.

How to Use This Data

Daily granularity turns search interest into a near-real-time demand signal you can act on. Use it to validate hypotheses, time campaigns, and measure the impact of news and product changes.

For Marketing Agencies and Content Creators

  • Time campaigns to rising daily interest; pause during troughs.
  • Align content with trending subtopics (e.g., fees, login, outages, crypto).
  • Benchmark brand vs. category terms to guide budget shifts.
  • Use spikes to trigger rapid-response content and social creative.

For DTC Brands

  • Use rising Robinhood interest as a proxy for retail risk appetite.
  • Sequence promos around high-attention windows to lift CTR and CVR.
  • Correlate daily search with site sessions and sales to refine forecasts.
  • Identify regional seasonality and optimize geo-targeting.

For Stock Traders

  • Treat daily searches as sentiment/attention flow for HOOD and retail-favorite tickers.
  • Backtest spikes vs. price/volume to build event-driven strategies.
  • Monitor regime shifts (new highs/lows in interest) as risk-on/off signals.
  • Use post-event decay in searches to time exits or hedges.