business_id), the enrichment returns a ranked list of intent topics with a composite score above 60, grouped by category and timestamped by week. The results highlight which topics a company is researching most intensely and classify them by intent level (e.g., In-Depth, Active, Early).
This enrichment is particularly useful for:

How It Works
business_id values obtained from the Match Businesses API.Parameters:topic_parameters — semicolon-separated list of “category: topic” filterstechnology: ios;other: vendor profiling).
business_intent_topics — and preferably semantic_search=true — to retrieve a broader, smarter set of intent topics.
This ensures your topic list is accurate, relevant, and aligned with Bombora’s taxonomy.
min_score — optional integer > 60. If omitted, the default threshold is 60.💡 Recommendation:
To achieve a meaningful and accurate measurement of intent, it is strongly recommended to include at least 12 topics that reflect the company’s genuine areas of interest.
Providing too few topics — or omitting the list entirely — will return all available topics for the company, which may include many unrelated subjects and lead to misleading or noisy intent insights.
composite_score >= threshold are returned, where:threshold = min_score (if provided and >60)threshold = 60 (default)Example — Request with `min_score` & Response
Best Practices
Always provide valid business_id inputs retrieved from the Match Businesses API.Specify topic_parameters to focus enrichment results on relevant industries or technologies.Use min_score only if you wish to raise the threshold above 60 — values ≤60 are not valid.business_intent_topics — and preferably semantic_search=true — to build accurate and relevant topic_parameters before running enrichment.Intent Topics Output Signals
| Signal | API Name | Description | Data Type |
|---|---|---|---|
| level_of_intent | Level of Intent | Indicates how actively a company engaged with selected topics during the past week. Calculation: Number of topics with a composite score above 25% divided by the total number of input topics. Ranges: • >25% → In-Depth Research • 5–25% → Active Research • <5% → Early Research Recommendation: To ensure a meaningful and accurate reflection of intent, it is recommended to input at least 12 topicsthat are relevant to the areas of interest. Returns null when no input topics are available. | CATEGORY |
| topic_count | Topic Count | Shows the number of topics with a composite score above 60, relative to all topics evaluated (e.g., 5/5). When no input topics are provided, all topics are returned. | TEXT |
| intent_topics | Intent Topics | Contains an array of objects summarizing the company’s active interest in specific Bombora topics over a given week. Each object includes the topic name, category, composite score, and date. | TEXT |
| company_website | Company Website | The company’s primary website or domain URL. | URL |
| company_name | Company Name | The official or recognized name of the company. | TEXT |
| date_stamp | date | The date of the most recent Bombora data file (weekly), in format YYYYMMDD | TEXT |