Trend Analysis Widget

This widget helps you visualize buzz and engagement patterns over time. Instead of looking at static numbers, you can track how conversations evolve, identify spikes, compare campaign performance, and detect early signals that require action.

It turns raw activity data into time-based intelligence. You can understand not just what happened, but also when and why it happened.

What It Does

The widget analyzes monitored content across selected campaigns or tags and presents performance metrics in a time-series format.

It allows you to:

• Track buzz volume trends over time
• Monitor engagement growth or decline
• Compare multiple campaigns in one view
• Identify spikes and anomalies
• Detect momentum shifts early
• Measure consistency versus volatility in performance

This gives you a clear narrative of how conversations and engagement evolve across channels.

How It Works

For each selected campaign or tag, the widget:

1. Collects posts from supported channels
2. Aggregates engagement and buzz data
3. Groups metrics by selected time granularity, such as daily, weekly, or monthly
4. Visualizes trends in a time-series chart
5. Enables comparison between multiple campaigns or tags

You can switch metrics easily to analyze different performance dimensions without changing the campaign scope.

Options & Metrics

The Trend Analysis widget supports the following metrics:

Engagement Metrics

• Likes – Total likes generated within the selected time period
• Comments – Number of audience comments
• Shares – Content shares across platforms
• Views – Total content views
• Reach – Estimated audience reach

Volume Metrics

• Buzz – Total number of mentions or posts
• Posts – Number of published content items

Each metric helps you evaluate a different aspect of performance:

• Buzz shows conversation volume
• Engagement signals audience interaction quality
• Reach and Views reflect exposure

Delta Value – Period Comparison Feature

Delta value shows the difference between the current period and the previous period, allowing you to immediately identify whether a metric is increasing, decreasing, or stable.

Where Delta Appears

The Delta indicator:

• Appears in Line Chart and Stacked Chart formats
• Is visible when hovering over chart data points
• Displays inside the tooltip alongside the metric value
• Is available in Daily, Weekly, Monthly, and Yearly views
• Is not available in Hourly view
• Applies independently per campaign

Color indicators improve readability:

• Green (+) indicates an increase
• Red (–) indicates a decrease
• Grey (0) indicates no change

Metrics Supported by Delta

Delta applies to:

• Buzz
• Engagement
• Likes
• Comments
• Shares
• Views
• Reach
• Posts
• Channels (per channel comparison)

Each value compares the current period with its immediately preceding equivalent period.

Channels Applicable

This widget supports:

• Social Media Channels
• Online Media
• Forums & Blogs
• Other supported channels within your campaign

Availability depends on campaign configuration and data coverage.

Use Cases

Campaign Performance Monitoring

Track how your campaign evolves over time and identify which periods generate the highest engagement or buzz.

Example: Compare engagement before, during, and after a product launch to evaluate momentum impact.

Early Spike and Anomaly Detection

Identify sudden increases or drops in buzz and engagement so you can investigate the cause quickly.

Example: Detect an unexpected spike in mentions that may indicate viral traction or emerging issues.

Content Strategy Optimization

Understand which content types or topics consistently drive engagement over time.

Example: Identify recurring engagement peaks linked to specific content formats, such as video or influencer collaborations.

Competitive Trend Benchmarking

Compare multiple campaigns or competitor tags within the same time period to measure relative performance.

Example: Monitor share of buzz growth between your brand and competitors during a promotional season.

Crisis Monitoring and Reputation Tracking

Observe unusual growth in conversation volume that may signal potential reputational risks.

Example: Track negative buzz trends over consecutive days to assess whether an issue is escalating.