YouTube Search

Overview YouTube is one of the most important platforms for gauging consumer demand, product education, and cultural relevance. In TickerTrends, we track YouTube user search interest. In TickerTrends, this data is normalized on a scale of 0–100, showing the proportion of search activity relative to peak demand. This allows investors to measure not just awareness, but also the depth of consumer research that often precedes purchases.

Historical Length Coverage typically extends back to 2008, aligning with YouTube’s public data availability.

Granularity Data is collected on a weekly basis, but users can aggregate data on weekly, monthly or quarterly timeframes on platform for long-term comparisons.

Update Frequency Data is updated weekly. Users typically see a roughly one week lag between real-world search activity and TickerTrends availability, although users can contact us if they need less lag times.

Methodology We aggregate data from Google Trends and display the collected data as a time series.

Example Visualization

Use Cases

• Detect breakout consumer products by monitoring spikes in YouTube search interest.

• Track product launches and unboxings that drive early adoption (e.g., gaming, electronics, cosmetics).

• Compare engagement across competing brands to see which is winning share of voice.

• Identify when viral content is translating into broader consumer demand.