Ever wondered how search trends shift over time or across different regions? This app allows you to explore Google search data in depth, helping you uncover patterns, forecast future trends, and identify anomalies—all with ease.

Whether you're a data analyst, marketer, or researcher, this app makes it simple to track changes in search behaviour, predict what's coming next, and explore trends across different regions and time periods.

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What can this app do for you?

This app uses Google Trends data along with advanced forecasting models to help you:

• Predict search trends for any keyword you choose.

• Identify seasonal patterns, breaking down search data into its core components (trend, seasonality, and residuals).

• Spot anomalies, highlighting unexpected spikes or dips in search interest.

• Visualise data through interactive graphs that give you clear, actionable insights.

 

Key Features:

• Custom Keyword Analysis
  Enter any keyword and the app will retrieve Google Trends data to forecast future search interest using state-of-the-art models.

• Region and Time Span Selection
  Explore trends across different regions and choose from various time spans—from the last hour to data going back to 2004.

• Forecasting and Anomaly Detection
  The app uses the Prophet model for forecasting, optimising predictions for seasonal patterns, and flags significant anomalies in the data.

• Detailed Visualisations
  Interactive graphs display trends, forecast components, and anomaly detection, making it easy to explore the data in-depth.

 

How It Works:

Input a keyword, and the app retrieves search interest data from Google Trends. Using a time series forecasting model, the data is broken down into trend, seasonality, and noise components to predict future search behaviour. It also highlights any anomalies that could indicate sudden changes in interest.

 

Who is this app for?

• Marketers: Plan campaigns based on predicted shifts in consumer interest.

• Data Analysts: Identify long-term patterns or anomalies in search data.

• Researchers: Analyse the underlying factors driving changes in search behaviour, from seasonal trends to unexpected events.

This is the first version of the Search Trends Forecasting App, and I'd love to hear your feedback! Feel free to reach out at hi@abelhga.com.