A valuable capability of the Historical Search Volume endpoint with the API is its ability to reveal the seasonal trends of specific keywords. This insight is crucial for strategizing around search query consistency or seasonal peaks. Although the term "seasonality" isn't explicitly labeled in the dataset, you can deduce it by analyzing the provided data. The endpoint supplies weekly search volumes for each keyword, which you can then aggregate into monthly or quarterly figures. This data can be used to assess the seasonal trends of keywords, and here is how:
- Monthly Seasonality Analysis: Identify the month with the highest percentage of total search volume. The keyword has a low monthly seasonality if this percentage is under 10%. A percentage between 10% and 15% indicates moderate monthly seasonality, and above 15% suggests high monthly seasonality.
- Quarterly Seasonality Analysis: Determine the quarter with the highest percentage of total search volume. Less than 30% indicates low quarterly seasonality. Between 30% and 35% is moderate quarterly seasonality, and over 35% is high.
Another practical application of the Historical Search Volume endpoint is to compile weekly search data into more comprehensive monthly and quarterly summaries. This process aids in quickly identifying which month and quarter have the highest search volume for a specific keyword. Such a method is invaluable for planning and saves significant time when analyzing search volumes across various keywords. This high-level view provides quick, actionable insights for better understanding and leveraging search trends.