CTV Targeting: How to Reach the Right Households

Household-level targeting via IP/device graphs. Zip code precision. Behavioral signals. First-party data. ACR retargeting.

If you’ve only bought broadcast TV, CTV targeting will feel like a different world. Instead of buying “Adults 25-54” and hoping the right people watch, you can identify specific households and serve them ads directly.

Beyond Age and Gender

Option A

Option B

The difference isn’t incremental. It’s fundamental.

Household-Level Targeting

CTV’s core targeting mechanism works at the household level, typically through IP addresses and device graphs.

This means you can target households based on:

Household composition: Presence of children, number of adults, homeowner vs. renter status

Household income: Estimated income bands based on location and modeled data

Life stage: Young singles, new families, empty nesters, retirees

Home characteristics: Single-family vs. apartment, estimated home value

For PI firms, this enables targeting households where someone might need a lawyer, not just anyone in a broad demographic.

TARGETING PRECISION
Household level targeting via IP/device graphs Source: AI Digital, 2024
Zip code geographic precision available Source: Industry Standard
First-party data onboarding via LiveRamp Source: Platform Capability

Demographic Targeting

CTV platforms offer demographic targeting similar to other digital channels:

Age: Estimated age ranges of household members Gender: Household gender composition Income: Household income estimates Education: Educational attainment estimates Ethnicity: For campaigns where relevant Presence of children: Households with kids vs. adults only

These demographics are typically modeled or inferred from data partnerships, not self-reported. Accuracy varies by data provider.

Behavioral and Interest Targeting

This is where CTV gets interesting. You can target based on what people do, not just who they are:

Content consumption: People who watch certain types of programming (news, sports, lifestyle, etc.)

Online behavior: Based on website visits, search behavior, and app usage

Purchase behavior: People who buy certain products or shop at certain retailers

Interest categories: Auto enthusiasts, health-conscious households, sports fans, etc.

In-market audiences: People actively researching purchases (auto buyers, home buyers, etc.)

For law firms, behavioral targeting might include households researching health conditions, those with interest in legal content, or people showing signals that suggest life events (new vehicles, home purchases).

Geographic Targeting

CTV allows geographic targeting at multiple levels:

Country: US-only or international State: Individual state targeting DMA (Designated Market Area): The standard TV market geography Metro/City: Major metropolitan areas County: Individual county targeting Zip code: Most precise level available

For law firms, zip code targeting is valuable. You can focus on specific neighborhoods within your service area rather than buying the entire DMA. This reduces waste and improves efficiency.

First-Party Data Onboarding

You can bring your own data to CTV campaigns:

CRM lists: Upload customer or prospect lists, match to households, target or suppress

Website visitors: Retarget people who visited your site but didn’t convert

Call lists: Target households that called but didn’t sign

Offline data: Match offline customer records to streaming households

Data onboarding typically happens through partners like LiveRamp, which match your records to household identifiers used in CTV buying.

This enables powerful strategies like:

  • Excluding current clients from campaigns
  • Retargeting website visitors with TV ads
  • Reaching households similar to your best clients (lookalike modeling)

ACR Data: Targeting by Viewing Behavior

ACR (Automatic Content Recognition) is one of CTV’s most powerful targeting capabilities.

Smart TVs from manufacturers like Samsung, LG, and Vizio can identify what content is displayed on screen, including linear TV. This creates viewing behavior data that can be used for targeting.

What ACR enables:

  • Target people who watched specific shows
  • Reach viewers of certain genres or networks
  • Retarget people who saw competitor ads
  • Find viewers of relevant content (local news, sports, etc.)

Example use case: Target households that watched your competitor’s broadcast commercial with your CTV ad. They saw the competition, now they’ll see you.

Targeting Strategy for Law Firms

Here’s a practical approach to CTV targeting for PI firms:

Building Your Target Audience

1

Layer 1: Geography

Start with your service area. Target zip codes or counties where you actually take cases. No point reaching people you can’t help.

2

Layer 2: Demographics

Add demographic filters that align with your typical client profile. Age ranges, household income, or family composition.

3

Layer 3: Behavioral Signals

Add behavioral targeting. People showing signals that suggest relevance. This varies by platform and data availability.

4

Layer 4: First-Party Data

If you have it, use your own data. Suppress current clients. Retarget website visitors. Build lookalike audiences.

Don’t over-target: Narrowing too much reduces scale. CTV needs enough impressions to build frequency. If your targeting is too precise, you may not reach enough households to matter.

The Bottom Line

CTV targeting transforms TV from a blunt instrument into a precision tool. You’re not buying demographics and hoping. You’re identifying households and reaching them.

For law firms, this means focusing budget on people who might actually need your services, in the areas you serve, with the characteristics that match your clients. That’s a fundamentally different proposition than broadcast’s “everyone in the DMA” approach.

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