Stop ignoring valuable text data like ad comments, reviews, or ad copy. This feature, powered by Supermetrics Custom Fields, uses AI to clean, translate, and analyze unstructured text, turning it into structured, measurable data points you can use in any report.
Video tutorial: AI text enrichment use case
Key learnings and action steps
| Feature/Concept | What it does | Your action in Supermetrics Custom Fields |
| Translate and unify | Translates foreign-language text (e.g., German reviews) into a common language (e.g., English). | Remove language barriers: Create a custom field to standardize all global reviews and comments for unified analysis. |
| Sentiment scoring | Automatically assigns a positive, neutral, or negative sentiment score to customer feedback. | Quantify feedback: Use this score as a dimension to see if positive or negative sentiment correlates with campaign performance. |
| Subject identification | Identifies the core subject of the text (e.g., "Marketing/Advertising," "Product," "Shipping"). | Direct action: Know exactly which part of your business the customer is commenting on so you can direct feedback to the right team. |
| Data preparation | Makes textual data useful for further downstream analysis, such as blending and visualization. | Enhance reporting: Use the new AI-generated dimensions to filter and segment your reports, moving beyond basic campaign metrics. |