diff --git a/references/filters.mdx b/references/filters.mdx
index 9cc9820..3a57188 100644
--- a/references/filters.mdx
+++ b/references/filters.mdx
@@ -59,3 +59,206 @@ To learn more about using filters, check out our docs on limiting data using fil
 | is after           | Only pulls in rows where the dates for the field selected are strictly after the date you entered.                                                                                      |
 | is on or after     | Only pulls in rows where the dates for the field selected are on or after the date you entered.                                                                                         |
 | is between         | Only pulls in rows where the dates for the field selected are on or between the dates you entered: "between 2001-12-23 and 2003-01-02".                                                 |
+
+<Accordion title="Examples of date or timestamp filters">
+
+## Date/Timestamp Filter Reference Guide
+
+The below examples show possible date/timestamp filter combinations and their corresponding SQL outputs. All examples use BigQuery syntax and assume:
+- Current timestamp: `2025-10-24 15:30:00`
+- Example field: `orders.created_at`
+- Timezone: UTC
+- Week starts on Monday
+
+## Timestamp Data Type Filters
+
+### Current Period Filters
+
+#### Current (In The Current)
+
+| Filter | SQL Output |
+|--------|------------|
+| Current minute | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at < TIMESTAMP('2025-10-24 15:31:00')` |
+| Current hour | `orders.created_at >= TIMESTAMP('2025-10-24 15:00:00') AND orders.created_at < TIMESTAMP('2025-10-24 16:00:00')` |
+| Current day | `orders.created_at >= TIMESTAMP('2025-10-24 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-25 00:00:00')` |
+| Current week | `orders.created_at >= TIMESTAMP('2025-10-21 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-28 00:00:00')` |
+| Current month | `orders.created_at >= TIMESTAMP('2025-10-01 00:00:00') AND orders.created_at < TIMESTAMP('2025-11-01 00:00:00')` |
+| Current quarter | `orders.created_at >= TIMESTAMP('2025-10-01 00:00:00') AND orders.created_at < TIMESTAMP('2026-01-01 00:00:00')` |
+| Current year | `orders.created_at >= TIMESTAMP('2025-01-01 00:00:00') AND orders.created_at < TIMESTAMP('2026-01-01 00:00:00')` |
+
+### Past Period Filters
+
+#### Last N Periods (in the last)
+
+| Filter | SQL Output |
+|--------|------------|
+| Last 1 minute | `orders.created_at >= TIMESTAMP('2025-10-24 15:29:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:30:00')` |
+| Last 1 hour | `orders.created_at >= TIMESTAMP('2025-10-24 14:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:30:00')` |
+| Last 1 day | `orders.created_at >= TIMESTAMP('2025-10-23 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:30:00')` |
+| Last 1 week | `orders.created_at >= TIMESTAMP('2025-10-17 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:30:00')` |
+| Last 1 month | `orders.created_at >= TIMESTAMP('2025-09-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:30:00')` |
+| Last 1 quarter | `orders.created_at >= TIMESTAMP('2025-07-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:30:00')` |
+| Last 1 year | `orders.created_at >= TIMESTAMP('2024-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:30:00')` |
+
+#### Last N Completed Periods (in the last, Completed)
+
+| Filter | SQL Output |
+|--------|------------|
+| Last 1 completed minute | `orders.created_at >= TIMESTAMP('2025-10-24 15:29:00') AND orders.created_at < TIMESTAMP('2025-10-24 15:30:00')` |
+| Last 1 completed hour | `orders.created_at >= TIMESTAMP('2025-10-24 14:00:00') AND orders.created_at < TIMESTAMP('2025-10-24 15:00:00')` |
+| Last 1 completed day | `orders.created_at >= TIMESTAMP('2025-10-23 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-24 00:00:00')` |
+| Last 1 completed week | `orders.created_at >= TIMESTAMP('2025-10-13 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-20 00:00:00')` |
+| Last 1 completed month | `orders.created_at >= TIMESTAMP('2025-09-01 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-01 00:00:00')` |
+| Last 1 completed quarter | `orders.created_at >= TIMESTAMP('2025-07-01 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-01 00:00:00')` |
+| Last 1 completed year | `orders.created_at >= TIMESTAMP('2024-01-01 00:00:00') AND orders.created_at < TIMESTAMP('2025-01-01 00:00:00')` |
+
+### Future Period Filters
+
+#### Next N Periods (In The Next)
+
+| Filter | SQL Output |
+|--------|------------|
+| Next 1 minute | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 15:31:00')` |
+| Next 1 hour | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-24 16:30:00')` |
+| Next 1 day | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-25 15:30:00')` |
+| Next 1 week | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-10-31 15:30:00')` |
+| Next 1 month | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2025-11-24 15:30:00')` |
+| Next 1 quarter | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2026-01-24 15:30:00')` |
+| Next 1 year | `orders.created_at >= TIMESTAMP('2025-10-24 15:30:00') AND orders.created_at <= TIMESTAMP('2026-10-24 15:30:00')` |
+
+#### Next N Completed Periods (In The Next, Completed)
+
+| Filter | SQL Output |
+|--------|------------|
+| Next 1 completed minute | `orders.created_at >= TIMESTAMP('2025-10-24 15:31:00') AND orders.created_at < TIMESTAMP('2025-10-24 15:32:00')` |
+| Next 1 completed hour | `orders.created_at >= TIMESTAMP('2025-10-24 16:00:00') AND orders.created_at < TIMESTAMP('2025-10-24 17:00:00')` |
+| Next 1 completed day | `orders.created_at >= TIMESTAMP('2025-10-25 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-26 00:00:00')` |
+| Next 1 completed week | `orders.created_at >= TIMESTAMP('2025-10-27 00:00:00') AND orders.created_at < TIMESTAMP('2025-11-03 00:00:00')` |
+| Next 1 completed month | `orders.created_at >= TIMESTAMP('2025-11-01 00:00:00') AND orders.created_at < TIMESTAMP('2025-12-01 00:00:00')` |
+| Next 1 completed quarter | `orders.created_at >= TIMESTAMP('2026-01-01 00:00:00') AND orders.created_at < TIMESTAMP('2026-04-01 00:00:00')` |
+| Next 1 completed year | `orders.created_at >= TIMESTAMP('2026-01-01 00:00:00') AND orders.created_at < TIMESTAMP('2027-01-01 00:00:00')` |
+
+#### Within Custom Range
+
+| Filter | SQL Output |
+|--------|------------|
+| Between 2 dates | `orders.created_at >= TIMESTAMP('2025-10-01 00:00:00') AND orders.created_at <= TIMESTAMP('2025-10-31 23:59:59')` |
+| On exact date | `orders.created_at >= TIMESTAMP('2025-10-24 00:00:00') AND orders.created_at < TIMESTAMP('2025-10-25 00:00:00')` |
+
+### Notes
+
+1. **Completed periods** always:
+   - Start at the beginning of a period (00:00:00)
+   - End at the beginning of the next period
+   - Don't include partial periods
+
+2. **Rolling periods** (non-completed):
+   - Use the current time as the reference point
+   - Look backward/forward the specified amount
+   - Include partial periods
+
+3. **Current periods**:
+   - Always start at the beginning of the current period
+   - End at the beginning of the next period
+   - Example: Current month starts at 1st of the month
+
+4. **Week handling**:
+   - Weeks start on Monday by default
+   - Can be configured to start on Sunday
+   - Week boundaries are always at midnight (00:00:00)
+
+
+## Date Data Type Filters
+
+### Current Period Filters
+
+#### Current (In The Current)
+
+| Filter | SQL Output |
+|--------|------------|
+| Current day | `orders.created_date = DATE('2025-10-24')` |
+| Current week | `orders.created_date >= DATE('2025-10-21') AND orders.created_date < DATE('2025-10-28')` |
+| Current month | `orders.created_date >= DATE('2025-10-01') AND orders.created_date < DATE('2025-11-01')` |
+| Current quarter | `orders.created_date >= DATE('2025-10-01') AND orders.created_date < DATE('2026-01-01')` |
+| Current year | `orders.created_date >= DATE('2025-01-01') AND orders.created_date < DATE('2026-01-01')` |
+
+### Past Period Filters
+
+#### Last N Periods (in the last)
+
+| Filter | SQL Output |
+|--------|------------|
+| Last 1 day | `orders.created_date >= DATE('2025-10-23') AND orders.created_date <= DATE('2025-10-24')` |
+| Last 7 days | `orders.created_date >= DATE('2025-10-17') AND orders.created_date <= DATE('2025-10-24')` |
+| Last 30 days | `orders.created_date >= DATE('2025-09-24') AND orders.created_date <= DATE('2025-10-24')` |
+| Last 90 days | `orders.created_date >= DATE('2025-07-26') AND orders.created_date <= DATE('2025-10-24')` |
+| Last 365 days | `orders.created_date >= DATE('2024-10-24') AND orders.created_date <= DATE('2025-10-24')` |
+
+#### Last N Completed Periods (in the last, Completed)
+
+| Filter | SQL Output |
+|--------|------------|
+| Last 1 completed day | `orders.created_date = DATE('2025-10-23')` |
+| Last 1 completed week | `orders.created_date >= DATE('2025-10-13') AND orders.created_date < DATE('2025-10-20')` |
+| Last 1 completed month | `orders.created_date >= DATE('2025-09-01') AND orders.created_date < DATE('2025-10-01')` |
+| Last 1 completed quarter | `orders.created_date >= DATE('2025-07-01') AND orders.created_date < DATE('2025-10-01')` |
+| Last 1 completed year | `orders.created_date >= DATE('2024-01-01') AND orders.created_date < DATE('2025-01-01')` |
+
+### Future Period Filters
+
+#### Next N Periods (In The Next)
+
+| Filter | SQL Output |
+|--------|------------|
+| Next 1 day | `orders.created_date >= DATE('2025-10-24') AND orders.created_date <= DATE('2025-10-25')` |
+| Next 7 days | `orders.created_date >= DATE('2025-10-24') AND orders.created_date <= DATE('2025-10-31')` |
+| Next 30 days | `orders.created_date >= DATE('2025-10-24') AND orders.created_date <= DATE('2025-11-23')` |
+| Next 90 days | `orders.created_date >= DATE('2025-10-24') AND orders.created_date <= DATE('2026-01-22')` |
+| Next 365 days | `orders.created_date >= DATE('2025-10-24') AND orders.created_date <= DATE('2026-10-24')` |
+
+#### Next N Completed Periods (In The Next, Completed)
+
+| Filter | SQL Output |
+|--------|------------|
+| Next 1 completed day | `orders.created_date = DATE('2025-10-25')` |
+| Next 1 completed week | `orders.created_date >= DATE('2025-10-27') AND orders.created_date < DATE('2025-11-03')` |
+| Next 1 completed month | `orders.created_date >= DATE('2025-11-01') AND orders.created_date < DATE('2025-12-01')` |
+| Next 1 completed quarter | `orders.created_date >= DATE('2026-01-01') AND orders.created_date < DATE('2026-04-01')` |
+| Next 1 completed year | `orders.created_date >= DATE('2026-01-01') AND orders.created_date < DATE('2027-01-01')` |
+
+#### Within Custom Range
+
+| Filter | SQL Output |
+|--------|------------|
+| Between 2 dates | `orders.created_date >= DATE('2025-10-01') AND orders.created_date <= DATE('2025-10-31')` |
+| On exact date | `orders.created_date = DATE('2025-10-24')` |
+
+### Notes
+
+1. **Key differences from timestamp filters**:
+   - No time components in any filters
+   - Single day comparisons use equality (`=`) instead of ranges
+   - `DATE()` function used instead of `TIMESTAMP()`
+
+2. **Completed periods** always:
+   - Start at the beginning of a period
+   - End at the beginning of the next period
+   - Don't include partial periods
+   - For single days, use equality instead of ranges
+
+3. **Rolling periods**:
+   - Use the current date as the reference point
+   - Count in full days (N days forward/backward)
+   - Include the current date in the range
+
+4. **Current periods**:
+   - For single day: use equality
+   - For longer periods: use standard ranges
+   - Example: Current month is all days from 1st to last day
+
+5. **Week handling**:
+   - Weeks start on Monday by default
+   - Can be configured to start on Sunday
+   - Full days only, no time components
+
+</Accordion>