Date & Timezone Converter
Convert timestamps between time zones, Unix epoch, and ISO formats. Essential for merging analytics data from multiple sources.
Unix Timestamp \u2194 Human Date
World Clocks \u2014 Common Analytics Time Zones
Live clocks for the most common time zones used in analytics platforms and ad accounts.
Why Time Zones Matter in Analytics
Time zone mismatches are one of the most common causes of data discrepancies between analytics platforms. When GA4 is set to UTC, Google Ads to US-Eastern, and your CRM to US-Pacific, the same conversion can appear on different dates in different reports.
This becomes critical when merging data from multiple sources: a session at 11pm Eastern on January 15th is already January 16th in UTC. Without timezone alignment, your join keys break and data goes missing.
Common Analytics Platform Time Zones
| Platform | Default TZ | Configurable? | Notes |
|---|---|---|---|
| GA4 | Property setting | Yes (at creation) | Cannot change after creation. Affects all date-based reports. |
| Google Ads | Account setting | Yes (at creation) | Cannot change after creation. Affects conversion timestamps. |
| Meta Ads | Ad account TZ | Yes | Can be changed, but historical data is not re-calculated. |
| BigQuery (GA4) | UTC | No | GA4 exports always use event_timestamp in UTC microseconds. |
| Looker Studio | Viewer’s local TZ | Per chart | Can cause confusion when sharing across regions. |
| Shopify | Store setting | Yes | API returns timestamps in UTC regardless of store setting. |
Why This Tool Helps
Best Practices
- Document the timezone of every data source in your measurement plan
- Use UTC as the canonical timezone for data warehouses and joins
- Convert to local timezone only at the presentation/dashboard layer
- Account for DST transitions when comparing year-over-year data
- Use ISO 8601 format with timezone offset (e.g., 2025-06-15T14:30:00+02:00)
- Assume all platforms use the same timezone \u2014 always verify
- Store dates without timezone information (ambiguous timestamps cause bugs)
- Forget that DST shifts create 23-hour and 25-hour days twice a year
- Join data on date alone when sources use different timezones
- Use abbreviations like “EST” (ambiguous) \u2014 use IANA names like “America/New_York”
Frequently Asked Questions
GA4 BigQuery exports always use UTC. The event_timestamp field is in microseconds since Unix epoch (UTC). To convert to your property’s timezone, use BigQuery’s TIMESTAMP_MICROS() and then DATETIME() with your timezone string, e.g., DATETIME(TIMESTAMP_MICROS(event_timestamp), ‘America/New_York’).
The most common cause is timezone mismatch. If your GA4 property is set to UTC and your Google Ads account to US-Eastern, a click at 11pm Eastern is recorded as today in Ads but tomorrow in GA4. Aligning timezones at account creation is the only permanent fix.
DST creates 23-hour days (spring forward) and 25-hour days (fall back). For daily comparisons, this means one day per year has ~4% fewer hours and one has ~4% more. Use UTC for storage/joins and only convert to local time for display. Flag DST transition dates in your dashboards.
Unix timestamp in seconds has ~10 digits (e.g., 1704067200). In milliseconds, it has ~13 digits (e.g., 1704067200000). GA4 BigQuery uses microseconds (16 digits). This tool auto-detects the format based on digit count. JavaScript’s Date.now() returns milliseconds.
Use the timezone where most of your business decisions are made. If your marketing team is in New York, use America/New_York. This makes the GA4 interface reports align with your team’s working hours. For global businesses, some analysts create a second GA4 property in UTC for data warehouse consistency.
All conversions happen in your browser using JavaScript’s Intl.DateTimeFormat API. No data is sent to any server. Your timestamps stay on your device.