Audience Targeting
Reach the right users with custom audiences, remarketing, and advanced targeting strategies.
Audience Segments Overview
Google Ads offers multiple ways to target users beyond keywords. In 2025, Google updated terminology:
- "Remarketing" is now "Your Data"
- "Audience types" are now "Audience Segments"
Audience Segment Types
| Segment Type | Source | Intent Level | Best For | |--------------|--------|--------------|----------| | Your Data | First-party (website, app, CRM) | Highest | Remarketing, retention | | Custom Segments | Keywords, URLs, apps | High | Prospecting with control | | Similar Audiences | ML-based on your data | Medium-High | Scaling your best audiences | | In-Market | Google's behavioral data | High | Active researchers | | Affinity | Google's interest data | Low-Medium | Awareness, reach | | Demographics | Age, gender, income, etc. | Varies | Audience refinement |
Custom Segments
Custom Segments let you build audiences based on keywords, URLs, and apps—essentially creating your own targeting criteria.
Custom Segment Options
Keywords: Target people who have searched for these terms on Google.
Example: B2B SaaS Company
Keywords to include:
- "CRM software"
- "sales automation tools"
- "best CRM for small business"
- "HubSpot alternatives"URLs: Target people who browse websites similar to these URLs.
Example: Competitor Targeting
URLs to include:
- competitor1.com
- competitor2.com
- industrypublication.com
- relevantblog.comApps: Target people who use apps similar to these.
Custom Segment Best Practices
- Use 10-15 keywords per segment (focused theme)
- Include competitor domains for conquesting
- Combine with other targeting for precision
- Test keyword-based vs URL-based segments
Tip: Custom Segments based on competitor URLs are one of the most effective ways to reach users actively comparing solutions in your space.
Your Data (Remarketing)
Your Data segments re-engage people who have previously interacted with your business. These are typically your highest-value audiences.
Remarketing List Types
| List Type | Source | Use Case | |-----------|--------|----------| | Website Visitors | Google Tag | General remarketing | | Specific Page Visitors | URL rules | High-intent remarketing | | App Users | Firebase | Mobile engagement | | Customer Match | CRM upload | Existing customer targeting | | YouTube Viewers | YouTube channel | Video remarketing |
Segmentation Strategies
## Remarketing Segments by Intent
High Intent (Short duration, aggressive bidding):
- Visited pricing page (last 7 days)
- Added to cart but didn't purchase (last 14 days)
- Started checkout but abandoned (last 7 days)
Medium Intent (Medium duration):
- Visited product pages (last 30 days)
- Spent 2+ minutes on site (last 30 days)
- Viewed 3+ pages (last 30 days)
Low Intent (Longer duration):
- All visitors (last 90 days)
- Blog readers (last 60 days)Remarketing Best Practices
- Exclude converters from prospecting campaigns
- Segment by recency—recent visitors convert at higher rates
- Use sequential messaging—different ads for different stages
- Set frequency caps—3-5 impressions per day per user
- Create exclusion lists for non-qualified traffic
Similar Audiences
Similar Audiences (lookalikes) use machine learning to find new users who share characteristics with your existing audiences.
How It Works
Your Seed Audience (e.g., Converters)
↓
Google's ML Analysis
- Demographics
- Interests
- Browsing behavior
- Purchase patterns
↓
Similar Users Identified
(New prospecting audience)Similar Audience Best Practices
- Base on your best-performing audiences (converters, high-value customers)
- Minimum seed audience: 1,000 users (more is better)
- Use for prospecting, not remarketing
- Expect slightly lower performance than source audience
In-Market Audiences
In-Market audiences target people actively researching or planning to purchase products/services in specific categories.
Popular In-Market Categories
| Category | Example Segments | |----------|------------------| | Business Services | SEO & SEM Services, CRM Software | | Financial Services | Credit Cards, Investment Services | | Technology | Computer Monitors, Smartphones | | Travel | Flights, Hotels, Car Rentals | | Real Estate | Residential Properties, Commercial |
When to Use In-Market
✓ Good for In-Market:
- B2B software purchases
- High-consideration purchases
- Users comparing options
- Near bottom of funnel
✗ Less effective for:
- Impulse purchases
- Brand awareness goals
- Very niche products (may not have segment)Affinity Audiences
Affinity audiences target people based on their long-term interests and lifestyles, not immediate purchase intent.
Affinity vs In-Market
| Factor | Affinity | In-Market | |--------|----------|-----------| | Signal | Long-term interests | Recent behavior | | Intent | Low | High | | Funnel Stage | Top (awareness) | Bottom (consideration) | | Example | "Sports Fans" | "Buying Running Shoes" |
Affinity Best Practices
- Use for brand awareness and reach campaigns
- Combine with other targeting for better precision
- Expect lower CTR but broader reach
- Good for Display and Video campaigns
Combined Segments
Combined Segments layer multiple targeting criteria for precise audience definition.
Combination Strategies
AND Logic (Narrow targeting):
In-Market: Business Software
AND
Affinity: Technophiles
AND
Demographics: Business Decision Makers
Result: Tech-savvy decision makers actively researching business softwareOR Logic (Broader reach):
Remarketing: Site Visitors (30 days)
OR
Similar Audience: Based on converters
OR
Custom Segment: Competitor keywords
Result: Warm audiences plus qualified prospectsLayering Best Practices
- Start broad, then add layers to refine
- Use Observation mode first to gather data
- Apply Targeting mode once you identify top performers
- Monitor audience overlap to avoid wasted spend
Optimized Targeting
Optimized Targeting allows Google to expand beyond your selected audiences to find additional converters.
How It Works
When enabled, Google uses your:
- Conversion data
- Landing page content
- Ad creative
- Selected audiences (as signals)
To find users likely to convert, even outside your targeting.
When to Use
| Scenario | Recommendation | |----------|----------------| | Prospecting campaigns | ON (helps find new users) | | Remarketing campaigns | OFF (want specific users only) | | Testing new audiences | ON (with monitoring) | | Brand safety concerns | OFF (less control) |
Warning: Optimized Targeting can reach users outside your selected audiences. Turn OFF for remarketing campaigns where you only want to reach people who already know your brand.
First-Party Data Strategy
With increasing privacy restrictions, first-party data is more valuable than ever in 2025.
Building First-Party Data
## Data Collection Touchpoints
Website:
□ Newsletter signups
□ Account creation
□ Contact form submissions
□ Resource downloads
□ Purchase transactions
Offline:
□ CRM records
□ Point-of-sale data
□ Call tracking
□ Event attendeesCustomer Match
Upload your customer data (hashed) to create audiences in Google Ads:
Accepted Data:
- Email addresses (most common)
- Phone numbers
- Physical addresses
- Mobile device IDs
Match Rates:
- Email: 30-60% typical match rate
- Combined data: Higher match rates
- Use SHA256 hashing for privacy
Privacy Compliance
- Obtain proper consent for data collection
- Comply with GDPR, CCPA, and local regulations
- Use clear privacy policies
- Honor opt-out requests promptly
- Work with legal team on compliance