Filtering & Date Ranges

Filtering lets you focus on specific segments of your data, while date ranges let you analyze different time periods. Master these tools to get the most from your analytics.

Date Range Selection

Choosing a Period

Open your website's dashboard and use the period selector in the top bar (it shows the current range, e.g. "Last 30 days"). Click it to pick a different range.

Preset Ranges

Quick selections available:

Preset	What It Shows
Today	Current day from midnight
Yesterday	Previous full day
Last 24 hours	Rolling 24-hour window
Last 7 days	Past week including today
Last 14 days	Past two weeks including today
Last 30 days	Past month including today
Last 90 days	Past quarter including today
Last 6 months	Rolling 6-month window
Last 12 months	Rolling 12-month window
All time	Your full retention window
Custom	Any start and end date you choose

Longer ranges are unlocked by your plan: ranges beyond your plan's window appear locked with an upgrade prompt.

The arrows next to the period selector step the current window backward and forward (for example, from Last 7 days to the previous 7 days).

Custom Date Range

To analyze a specific window, choose Custom:

1. 1

   Open the Period Selector

   Click the period display in the dashboard top bar.

2. 2

   Select Custom

   Choose "Custom" to open the date picker.

3. 3

   Choose Start Date

   Click the start date on the calendar.

4. 4

   Choose End Date

   Click the end date on the calendar.

5. 5

   Apply

   Click "Apply" to update the dashboard.

Date Range Limits

You can only view data within your plan's retention period:

Plan	Maximum Range
Free	1 year (retention limit)
Pro	2 years
Scale	4 years
Enterprise	Custom (4 years by default)

Dashboard Filters

Click the Filter button in the dashboard top bar to narrow the data down to a segment. Filters are grouped by category.

Available Filters

Group	Filters
URL	Hostname, Page, Entry page
Location	Country, Region, City
Source	Channel, Referrer, Campaign
UTM	UTM source, UTM medium, UTM content, UTM term
System	Browser, OS, Device
Engagement	Scroll depth %, Sessions count, Pages viewed, Has converted, Visitor score
Identity	User type (anonymous / identified / paying)
Custom	Goal, AI Source, and any custom event properties you send

Applying Filters

1. 1

   Open Filters

   Click the "Filter" button in the dashboard top bar.

2. 2

   Select a Category

   Choose which dimension to filter on (e.g. Device, Country, Page).

3. 3

   Choose Value

   Pick an operator and value (for example, Device is Mobile).

4. 4

   Apply

   Apply the filter to update the dashboard.

Multiple Filters

Apply several filters together, for example:

• "Mobile users from Germany"
• "Organic Search traffic on Safari"
• "Desktop users viewing /blog/*"

All active filters combine with AND logic.

Clearing Filters

Active filters appear as chips beneath the top bar:

• Click the X on an individual filter chip to remove it
• Click "Clear all" to remove every active filter at once

Filter Operators

Most text filters support these operators:

• is / is not: match (or exclude) an exact value
• contains / does not contain: match (or exclude) a partial value

This is how you do both inclusion and exclusion. For example, set Page to contains /blog/ to keep only blog traffic, or OS to is not to exclude a platform.

Numeric dimensions (scroll depth, sessions count, pages viewed, visitor score) also support greater than, greater than or equal, less than, and less than or equal. Boolean dimensions like "Has converted" use is true / is false.

Filter Examples

Traffic Source

The Channel filter groups visitors by how they arrived:

• Direct: no referrer
• Organic Search / Organic Social: search engines and unpaid social
• Paid Search / Paid Social / Display: advertising channels
• Referral: links from other websites
• Email: email campaigns
• Affiliate: affiliate links

Geographic

Filter by Country, Region (state/province), or City.

Technology

Filter by Device (Desktop / Mobile / Tablet), Browser, or OS.

Page

Filter by content using the Page or Entry page dimensions:

• is /about: an exact page
• contains product: any page whose path contains "product"

Saved Segments

A segment is a saved combination of filter conditions you can reapply with one click. Open the Filter button in the dashboard top bar: your saved segments live in the Saved Segments section at the bottom of that menu, where you create and manage them. Creating or editing a segment requires editor access to the website.

Creating a Segment

1. 1

   Open the Filter Menu

   Click the "Filter" button in the dashboard top bar, then choose "New segment" in the Saved Segments section at the bottom.

2. 2

   Build the Conditions

   Add condition rows. Conditions inside a group join with AND; you can add up to three groups joined with OR (up to five conditions per group).

3. 3

   Name the Segment

   Give it a descriptive name (an optional description helps your team).

4. 4

   Save

   Save to add it to your Saved Segments list.

Using a Saved Segment

Open the Filter menu and select a segment from the Saved Segments section to apply it. The active segment shows as a chip beneath the top bar; clear it to return to the full dataset.

Common Segments

Examples of useful segments:

• "Mobile Users"
• "US Visitors"
• "Blog Readers"
• "Converted Visitors"

Managing Segments

From the Saved Segments section of the Filter menu you can edit, rename, or delete any segment you've created.

For a deeper walkthrough, see Saved Segments.

Filter Persistence

While You Browse

Filters and the active segment stay applied as you switch between dashboard tabs and drill down, until you clear them.

Saved Segments Persist

Saved segments are stored with the website and are available whenever you return.

Comparing to a Previous Period

On the visitor trend chart you can turn on the vs previous toggle to overlay the immediately-preceding period as a dashed line, so you can see whether traffic is up or down at a glance.

For more on reading period-over-period changes, see Date Comparisons.

Filtering Best Practices

Start Broad, Then Narrow

1. Look at the overall data first
2. Apply one filter
3. Analyze the change
4. Add more filters as needed

Document Your Filters

When sharing a finding:

• Note which filters were applied
• Save important combinations as a segment
• Include the date range for context

Watch for Low Data

Too many filters can leave you with:

• Very small sample sizes
• Statistical insignificance
• Misleading conclusions

Common Filtering Scenarios

Campaign Analysis

Isolate a campaign:

• Channel = Paid Search (or Paid Social)
• Campaign or UTM source = your campaign
• Date = the campaign window

Mobile Optimization

Analyze the mobile experience:

• Device = Mobile
• Compare to a Desktop view
• Check bounce rate and session duration

Geographic Analysis

Understand regional performance:

• Country = your target market
• Compare conversion behavior across markets

Troubleshooting

Filters Showing No Data

• Check the date range has data
• Verify the filter value exists in the selected period
• Try broader filters first

Unexpected Results

• Clear all filters and verify the base data
• Apply filters one at a time
• Check for conflicting conditions

Next Steps

• Compare date ranges
• Create saved segments
• Export filtered data