Detailed Guide to Programmatic Targeting Options

Master the targeting capabilities available at the line item level in programmatic advertising

1. Introduction: The Power of Precise Targeting

Targeting defines who sees your ads. Well-optimized targeting improves performance, reduces wasted spend, and reaches the right audience at the right time. This guide explains all the major targeting options you can apply at the line item level in a Demand-Side Platform (DSP).

2. Audience Targeting Options

First-Party Audience:

  • Your own data (CRM lists, website visitors, app users)
  • Used for retargeting, loyalty campaigns, and customer re-engagement

Third-Party Audience:

  • Purchased from data providers (BlueKai, Lotame, Oracle, etc.)
  • Includes demographics, interests, purchase behavior

Lookalike Audiences:

  • AI-generated audience similar to your high-value users
  • Used for prospecting and scaling reach

Custom Segments:

  • Manually built segments using behavioral and contextual criteria

3. Demographic Targeting

Parameter Example Options
Age 18-24, 25-34, 35-44, etc.
Gender Male, Female, Unknown
Household Income Top 10%, 11%-20%, etc. (varies by region)
Parental Status Parents, Non-parents

4. Geographic Targeting (Geo-Targeting)

Level Example
Country India, USA, UK
Region/State Maharashtra, California, Bavaria
City Bangalore, London, New York
Postal Code 560001, 94105, W1D
Radius 10 KM around a landmark or address

5. Device & Technology Targeting

Targeting Type Example Options
Device Type Mobile, Desktop, Tablet, Connected TV
Operating System Android, iOS, Windows, MacOS
Browser Chrome, Safari, Firefox
Carrier & ISP Airtel, Jio, Verizon
Connection Type Wi-Fi, 4G, 5G

6. Environmental Targeting

Dayparting (Ad Schedule):

  • Show ads only during specific hours or days of the week
  • Useful for retail store hours or peak user activity times

Language Targeting:

  • Target users by preferred language (English, Hindi, Spanish, etc.)

Location Type:

  • Home, Work, or commuting areas (based on device usage patterns)

7. Content & Contextual Targeting

Type Example Options
App & Site Categories News, Sports, Finance, Gaming
Keywords Contextual matching for specific topics
URL & Domain List Include or exclude specific publishers (whitelists/blacklists)
Video Player Type In-banner, instream, rewarded video

8. Inventory Source Targeting (SSP & Deal Types)

Type Example
Open Auction All publishers on SSP marketplaces
Private Marketplace Premium inventory on invite-only auctions
Preferred Deal 1:1 negotiated deal with fixed CPM
Programmatic Guaranteed Reserved impressions with fixed delivery & CPM

9. Frequency & Recency Controls

Control Type Purpose
Frequency Cap Limit how many times a user sees your ad
Recency Targeting Show ads based on time since last interaction

10. Device ID & Cookie Targeting (When Available)

Targeting Type Example Use Case
Device IDs (IDFA, GAID) Mobile app retargeting, install campaigns
Cookies Retarget website visitors on web-based inventory

11. Example Scenario: eCommerce Holiday Sale Campaign

Targeting Type Example Setting
Audience Past purchasers, lookalikes, fashion shoppers
Geo India, metro cities
Device & OS Mobile, Android & iOS
Time 9 AM - 10 PM, Monday to Sunday
Inventory Private Marketplace + Open Auction
Frequency Cap 3 impressions/day per user

12. Key Takeaways

  • ✔ Each targeting option refines your reach to the right audience
  • ✔ Combining multiple layers (audience + geo + device) enhances precision
  • ✔ Regularly monitor performance to adjust your targeting for optimal results