Segments (Google Ads)

Segments are reporting dimensions in Google Ads that break down aggregate performance data into sub-categories such as device type, time period, network, click type, or conversion action. Applying a segment adds rows to your data table, showing how performance varies across each dimension.

Segments are reporting dimensions in Google Ads that break down aggregate performance data into sub-categories such as device type, time period, network, click type, or conversion action. Applying a segment adds rows to your data table, showing how performance varies across each dimension.

Key Takeaways

  • Split aggregate data into dimensional breakdowns (device, time, network, etc.)
  • Applied from the Segment menu in any data table
  • Each row in the table expands into multiple rows — one per segment value
  • Only one segment can be applied at a time in the interface (API supports multiple)
  • Essential for identifying performance disparities hidden in aggregate numbers

What Are Segments

Segments answer the question “how does performance vary by ___?” While filters hide rows that do not match a condition, segments expand each row to show performance broken down by a chosen dimension.

SegmentBreakdown ValuesCommon Insight
DeviceMobile, Desktop, TabletMobile CPA 40% higher than desktop
Day of weekMonday through SundayWeekends convert at half the rate
TimeHour of day80% of conversions between 9 AM - 5 PM
NetworkGoogle Search, Search Partners, DisplaySearch Partners underperforming
Click typeHeadline, sitelink, call extensionSitelinks driving 30% of clicks
Conversion actionPurchase, Lead, Phone callLeads cost $20, purchases cost $55
Top vs. otherTop of page, Absolute top, OtherPosition 1 converts 2x better

How It Works

Applying a segment in the 2026 Google Ads interface:

  1. Navigate to any data table (Campaigns, Ad Groups, Keywords)
  2. Click the Segment icon in the toolbar
  3. Select the dimension you want to break down by
  4. Each row in the table splits into sub-rows showing performance per segment value

For example, applying a “Device” segment to a campaign with aggregate data:

Before segment:

CampaignClicksCostConversionsCPA
Brand Search5,000$7,500200$37.50

After “Device” segment:

CampaignDeviceClicksCostConversionsCPA
Brand SearchDesktop2,800$4,200150$28.00
Brand SearchMobile1,900$2,85045$63.33
Brand SearchTablet300$4505$90.00

The aggregate CPA of $37.50 masked a massive performance gap: desktop at $28 vs. mobile at $63 vs. tablet at $90.

Practical Example

An advertiser applies the “Day of week” segment to discover scheduling opportunities:

DayClicksCostConversionsCPA
Monday420$63022$28.64
Tuesday450$67525$27.00
Wednesday440$66024$27.50
Thursday460$69020$34.50
Friday380$57015$38.00
Saturday250$3755$75.00
Sunday200$3004$75.00

Weekday CPA: $30.50 average. Weekend CPA: $75.00 average.

Action: Reduce weekend bids by 40% or pause weekend delivery entirely. Projected monthly savings: ~$500 with only 9 fewer conversions (cost per conversion drops from $34 to $29 overall).

Why It Matters

Segments reveal the performance stories hidden inside aggregate numbers. A campaign with an acceptable average CPA might be excellent on desktop and terrible on mobile. A keyword with strong overall conversions might perform only on weekdays. Without segmented analysis, optimization decisions are based on averages that mask actionable disparities. Segments combined with custom columns and labels provide the analytical depth needed for data-driven account management.

Try Lyra Free

19 Google Ads optimization tools. 14-day free trial.

Start Free Trial

No credit card charged until trial ends