Do You Know Who You’re Really Reaching With Your Ads?

Why Identity Graphs Matter More Than Household Data

Consider a typical family household – would you want the same TV ad targeted to a college student and a fifty-something parent? In most cases, the answer is no.

Serving the same ad to both would waste ad spend and feel irrelevant—or even annoying. Instead, marketers should target each consumer individually. With the help of identity graph, advertisers can determine when each person is watching and which ad is most relevant at that moment.

While household data can be useful for certain campaigns, focusing on individuals rather than households is often the better approach.

How Digitally Connected Households Really Work

Digitally, a household is fully connected. Family members stream on the same network and use multiple shared and personal devices, including:

• Laptops
• Smartphones
• Connected TVs (CTV)
• Tablets
• Smart home devices

Someone might browse for a show on their phone and then watch it in the family room. A parent might research a product on a shared tablet and complete the purchase on a personal laptop.

Together, these behaviors create a household data fingerprint. While this fingerprint can look useful, it does not always represent individual intent accurately.

When Household Data Makes Sense

Household data can work well when a product is relevant to more than one person in the home.

Examples include:

• Home insurance policies
• Meal kit services
• Streaming subscriptions
• Family vehicle purchases

In these cases, marketing to the entire household—such as through a targeted TV ad—can be effective. Large decisions often involve multiple family members, making household-level targeting appropriate.

Why Household Data Is Not Enough

Household data cannot replace individual consumer identity data.

A college student home for winter break does not share the same interests or lifestyle as their parents. Even though they use the same network, their online behavior is very different.

Not all household data is meaningful for every campaign. Knowing which data matters is just as important as collecting data. In many cases, building individual identities delivers stronger results than grouping everyone under one household.

Why Brands Focus on Individual Identity

Brands today rely on more than a single data set per household. They build identities for each consumer to deliver personalized ads.

By tracking users across devices and building identity graphs, marketers can:

• Understand when a specific person is using a device
• Identify individual interests and intent
• Reduce wasted impressions
• Increase engagement and clickthrough rates

Marketing to individuals leads to better performance and more efficient spending.

Use Identity Data to Deliver Relevant Ads

Roommates may live together, but they rarely shop together.

They might share a network for streaming or browsing recipes, yet they usually make separate purchases. Serving the same ads to both would make little sense.

A roommate household data fingerprint often reflects mixed and unrelated interests. Individual targeting is far more effective in these cases.

Visitors Can Distort Household Data

Even in family homes, household data is not static.

Visitors regularly connect to the same network, including:

• Friends
• Relatives
• College students returning home
• Overnight guests

These temporary users change the household data fingerprint. Their online activity can introduce irrelevant signals for marketers.

Why Individual Targeting Is More Reliable

People sharing a network can have completely different preferences.

For example:

• One roommate may be vegan and interested in organic foods
• Another may be searching for the best barbecue in town

Or:

• Parents may be interested in Billy Joel concert tickets
• Their visiting child may be interested in a Billie Eilish festival

Household-based targeting in these situations can send mixed messages. Individual-level targeting avoids wasted impressions and confusion.

What Is an Identity Graph?

An identity graph is a database that collects all known identifiers for an individual consumer.

These identifiers may include:

• Email addresses
• Phone numbers
• Account usernames
• Physical addresses
• Devices and IP addresses

The identity graph connects these data points into a single customer profile.

Deterministic and Probabilistic Matching

Deterministic matching uses known identifiers such as logins and email addresses. It is highly accurate but limited in scale.

Probabilistic matching uses behavioral signals like browsing activity, IP address, location, and purchase history. While not 100% precise, it allows tracking across more devices.

An identity graph combines both methods to follow an individual across multiple devices.

How Identity Graphs Fill Data Gaps

Identity graphs link online behavior with offline data such as demographics and postal addresses. This creates a more complete and stable profile.

By combining first- and second-party data with billions of online interactions, marketers can build dynamic profiles for each individual instead of treating the household as a single user.

Move the Right Person Along the Funnel

Identity graphs eliminate the “spray and pray” approach to marketing.

Targeted campaigns consistently outperform untargeted ones. With identity graphs, advertisers can:

• Reduce wasted impressions at the top of the funnel
• Enter the funnel at a lower stage
• Shift spend from awareness to consideration and acquisition
• Deliver more relevant and timely messages

This leads to higher efficiency and better ROI.

Smarter TV and Device-Level Targeting

Sometimes a TV ad should target the entire household. Other times, it should target a single person watching from a personal account.

Identity graphs help identify who is using which device by analyzing:

• Browsing activity
• Login behavior
• Viewing history

This allows advertisers to personalize ads even on shared household devices.

The Future of Identity-Driven Marketing

The connected home ecosystem is firmly established. The next phase focuses on understanding how individuals interact with shared devices and networks.

Using deterministic and probabilistic matching, identity graphs reveal:

• When individuals use devices
• What content they consume
• What their personal interests are

Personalized ads consistently outperform broad targeting. Identity graphs reduce wasted impressions, shorten acquisition cycles, and boost ROI.

Identity-Driven Marketing at Stirista

At Stirista, identity is our identity.

Our mission is simple: help marketers generate revenue using identity-level data. One-size-fits-all solutions and decayed data do not work.

That’s why we built our modular, real-time OMNA Identity Graph—to deliver marketing data that actually works.