The Topic Overview Widget helps you understand how conversations within your industry are distributed across key topics. Using Natural Language Processing (NLP)–based topic discovery, the widget automatically groups large volumes of content into meaningful themes, giving you a high-level view of what people are talking about in relation to your campaign.
The topics shown in this widget are strongly influenced by the industry selection defined during campaign setup. This ensures that topic detection stays relevant to your business context and avoids generic or unrelated themes.
| What It Does |
| The Topic Overview Widget analyzes campaign data to: |
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| This allows you to quickly assess where attention is concentrated and which topics are gaining traction over time. |
| Options & Metrics |
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| Visualizations |
| Stacked Chart – The widget is displayed using a stacked chart, allowing you to: |
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| This visualization makes it easier to spot changes in conversation focus without diving into raw data. |
| Channels Applicable |
| The Topic Overview Widget supports analysis from: |
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| (Topic detection is based on available textual content from monitored sources.) |
| Use Cases |
| Industry trend monitoring |
| Identify which topics are gaining or losing attention within your industry. |
| Example: Detect growing interest in sustainability, pricing, or customer experience themes. |
| Audience understanding |
| Uncover what matters most to your audience by analyzing dominant discussion topics. |
| Example: Learn whether users are focused on product features, service quality, or brand values. |
| Content and campaign strategy |
| Use topic insights to guide content planning and messaging alignment. |
| Example: Prioritize campaign messaging around topics that already resonate with your audience. |
| Competitive and market analysis |
| Understand how industry conversations are distributed beyond your brand. |
| Example: Compare whether competitor-driven conversations focus on innovation, promotions, or issues. |
| Strategic reporting and insights |
| Use topic distribution data to enrich reports with contextual insights. |
| Example: Highlight key conversation themes driving engagement or sentiment shifts in executive reports. |