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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
HubSpot’s native reporting only provides daily minimum frequency for scheduled reports, making it impossible to identify peak hours or plan staffing around actual ticket volume patterns throughout the day.
Here’s how to extract the hourly timestamp data that HubSpot collects but doesn’t surface in its standard reports.
Extract hourly ticket data using Coefficient
While HubSpot stores complete timestamp information for every ticket, its reporting tools can’t break this down by hour. HubSpot ticket data includes full timestamp details in the “Create Date” field – you just need to import this raw data into a spreadsheet where you can extract the hour components.
How to make it work
Step 1. Import HubSpot tickets with full timestamp data.
Connect to your HubSpot account and import all ticket objects, making sure to include the “Create Date” field. This field contains the complete timestamp data including hours, minutes, and seconds – not just daily summaries.
Step 2. Extract hour components from timestamps.
In a new column next to your imported data, use the formula =HOUR(A2) where A2 contains your HubSpot timestamp. This extracts just the hour component (0-23 format) from each ticket’s creation time.
Step 3. Build hourly distribution analysis.
Create a pivot table grouping tickets by the extracted hour values. This shows you exactly how many tickets are created during each hour of the day, revealing patterns that daily reports completely miss.
Step 4. Set up automated refreshes.
Schedule hourly or daily automatic imports so your hourly analysis stays current without manual work. Enable Formula Auto Fill Down so new tickets automatically get their hour components calculated when data refreshes.
Step 5. Create dynamic filtering for specific periods.
Use dynamic filtering to focus on specific date ranges while maintaining hourly granularity. This lets you compare hourly patterns across different weeks, months, or business periods.
Turn daily data into hourly workforce insights
This approach transforms HubSpot’s limited daily reporting into actionable hourly insights that directly support staffing optimization decisions. Start tracking your hourly ticket patterns today.
