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Trend & Seasonality Analysis

Using Time Series Decomposition and Google Trends data, this analysis provides invaluable insights into the seasonality of keywords, allowing businesses to align their marketing strategies with periods of peak search volume. It provides a comprehensive view of changing search behavior over time and seasons, allowing businesses to discern the primary interests of their target audiences and refine their marketing initiatives for higher ROI.

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Trend & Seasonality Analysis

Unlock Seasonal Search Insights, Dive Deeper into Search Behaviors for Peak ROI

Insight into Seasonal Search Behaviors

Annual Annual patterns, like holiday shopping, can be analyzed for better strategic planning. For instance, a deep dive into “Mother’s Day gifts” on Trend Spotter unveils that queries tend to skyrocket in early April. like holiday shopping, can be analyzed for better strategic planning. For instance, a deep dive into “Mother’s Day gifts” on Trend Spotter unveils that queries tend to skyrocket in early April.

Distinguish Between One-Offs and Real Trends

Curious about a sudden surge in a keyword? Trend Spotter can differentiate whether it's a consistent trend or the result of an isolated incident. An examination of search volumes for “School Backpack” compared to “backpack” from August to September 2020 might show a trend, but when broadened to the last 5 years, it becomes evident that “Backpack” generally maintained higher popularity.

Strategically Plan Your Promotions

By knowing which trends are seasonally cyclical and understanding their peaks and troughs enables businesses to strategically analyze on these windows of opportunity, your business can plan better to meet customers' needs when they are looking for what you have.

Why is it a game changer for businesses?

Trend and Seasonality Analysis uses Google Trends data to capture the evolution of searches across different time periods, seasons and local areas. This detailed insight into customers' online behavior allows businesses to adapt to current audience interests and evolve their marketing to better match demand. By entering business-specific keywords, this analysis is shown in an easy-to-understand graph of trends with monthly timelines and a Y-axis highlighting machine learning-based Time Series Decomposition outputs.

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