Description
An Office Closing event tracks when a company shuts down a physical office or facility. This data provides insights into business downsizing, market exits, and shifts in operational strategy. Important: The Office Closing event is available only for recent office closures that occurred within the last quarter (timestamp_from should be set to the past 3 months). If no office closure was recorded during this period, no data will be returned.
For long-term office location history, refer to the Firmographic Enrichment API.
Use cases
- Market Contraction Analysis: Identify industries or regions where businesses are downsizing.
- Competitive Intelligence: Track competitor office closures to understand their market shifts.
- Economic Indicators: Assess the impact of office closures on local economies and employment.
- Operational Strategy: Monitor company restructuring and realignment decisions.
Data Schema
Event Name"closing_office" (Use this value in theevent_types parameter when querying this event.)
| Signal | API Name | Description | Data Type |
|---|---|---|---|
| Reason for office closing | reason_for_closure | Text describing the reason for the office closing. | string |
| Location of closing office | office_location | Text describing where the office is located. | string |
| Number of employees impacted | number_of_employees_affected | Number of employees impacted by the office location closing. | integer |
| Title of closing office article | title | Title of published news report or article on company’s office closing. | string |
| Snippet | snippet | Short excerpt or highlight text summarizing the award or announcement | string |
| Link to article | link | Link to article announcing the company’s office closing. | url |
| Event name | event_name | Name of the event related to office closing. | string |
| Event time | event_time | The timestamp indicating when the event actually occurred | datetime |
Query Example
cURL
Best Practices
- Filter by location (
office_location) to analyze closures in specific regions. - Track closure reasons (
reason_for_closure) to understand business decisions. - Monitor employment impact (
number_of_employees_affected) to assess workforce reductions.