How Young Agency Media Buyers Can Win With Data Enrichment

If you buy media for a living, here’s a shortcut worth taking: get really good at audience data enrichment.

Why? Three reasons:

• It makes your targeting sharper than anything you can build from platform-native audiences alone
• It’s surprisingly easy to leverage enriched customer data and is far easier to implement than most buyers assume
• Many media buyers overlook the power of third-party audience data enrichment.

A lot of campaigns start with Google Audiences as a base, and for good reason. Those audiences are free, they give advertisers a head start, and they can perform pretty well. But when you want to refine your audience targeting, that’s when you need to think about data enrichment solutions and how to get them right.

What Is Audience Data Enrichment and Why Does It Matter?

Data enrichment can be defined as the process of enhancing existing data by supplementing it with additional insights—such as behavioral, demographic, geographic, and psychographic attributes—to create a more complete and actionable understanding of an audience.

This enables media buyers to refine targeting strategies, improve campaign performance, and gain a competitive edge by moving beyond broad, off-the-shelf audience segments.

Why does it matter? By tapping into data enrichment media buyers can achieve:

1. More Precise Targeting – Instead of relying on broad, generic audience segments, data enrichment provides deeper insights into consumer behaviors, interests, and preferences, allowing media buyers to reach the right people at the right time.
   
2. Competitive Differentiation – Since many advertisers use the same off-the-shelf segments, enriched data gives you a unique advantage by uncovering untapped audience opportunities that competitors overlook.
   
3. Higher Campaign ROI – By refining audience targeting and reducing wasted ad spend, data enrichment helps optimize media buys, leading to better engagement, conversion rates, and overall campaign effectiveness.
   
4. Smarter Media Buying Decisions – Enriched data offers a multi-dimensional view of consumers, helping media buyers understand where, when, and how to connect with their ideal audience across different channels.
   
5. Future-Proofing Against Automation – As media buying automation grows, the ability to leverage enriched data will set top media buyers apart, ensuring they remain valuable and indispensable in an evolving industry.
   

Example: Data Enrichment in Action

Imagine you’re running a campaign for a nutrition bar brand. The client’s first-party data is limited because consumer-packaged goods (CPG) brands don’t have many direct interactions with customers. Your agency has some first-party data, but only a fraction is relevant to your audience.

Without data enrichment, your campaign might target broad health-conscious consumers or commuters. But real people are more complex than simple demographic labels. Data enrichment allows you to go deeper, revealing insights like:

• The fitness podcasts your target audience listens to
• Their shopping behavior, such as purchasing patterns in organic grocery stores
• Cross-category interests, like wellness retreats or running events

This enhanced audience intelligence helps you deliver highly personalized, cost-effective media buys, reducing wasted ad spend and increasing engagement.

A Step-by-Step Audience Data Enrichment Workflow

Most explanations of enrichment stop at the concept. Here is what the work actually looks like, start to finish, on a real campaign.

Step 1: Start with a seed audience. This is whatever you already have, be it a CRM list, site visitors, a CDP segment, past converters, or a platform-native audience. It does not need to be large. It needs to be good: consumers you are confident represent the ideal customer you want more of.

Step 2: Match it. Your seed audience gets matched against an enrichment provider’s data through identity resolution. This is the step that determines everything downstream, and the number to interrogate is match rate (the percentage of your seed that the provider can actually recognize). A rich dataset with a 20% match rate on your audience is worth less than a narrower one at 60%.

Step 3: Enrich. The matched records get appended with attributes you did not have: demographics, interests, purchase behavior, life-stage signals, in-market intent, media consumption. This is where a list of email addresses becomes a described audience.

Step 4: Analyze before you activate. This is the step most buyers skip and the one that pays for itself. Look at what actually distinguishes your audience from the general population. You will usually find at least one that contradicts what the client believes about their customer, and that finding is worth more than the targeting improvement.

Step 5: Build the target audience. Now you have options. Target the enriched segment directly. Suppress poor-fit segments you can now identify. Build lookalikes from the enriched profile rather than from raw emails, which produces a substantially better model. Or split into sub-segments and vary creative by behavioral cluster.

Step 6: Activate. Push the audience to your DSP, social platforms, CTV partners, or curated deals. The audience should travel across channels rather than being rebuilt in each one which makes cross-channel measurement possible later.

Step 7: Measure and feed back. Compare enriched-segment performance against your unenriched baseline. Feed converters back in as a new seed. Enrichment compounds: each cycle gives you a better-defined audience than the last.

The whole loop is faster than it reads: a first pass typically runs in days, not weeks, and steps 2 through 4 are usually handled by your data partner rather than by you.

How to Scale Ad Audiences With Data Enrichment

Precision is the argument everyone makes for enrichment. Scale is the argument that actually wins media budgets, and it is the less obvious of the two.

The problem is familiar: your best-performing audience is your smallest one. A high-intent CRM segment converts beautifully and exhausts in a week. Retargeting pools cap out. Platform-native audiences give you volume with no differentiation. Every buyer has run the campaign where performance was excellent right up until reach ran out.

Enrichment addresses this in three ways.

Better lookalike seeds. A lookalike model built from a raw email list is working from almost nothing. The same model built from an enriched profile, where the platform can see demographics, interests, purchase behavior, and media consumption, produces a materially more accurate expansion. Same modeling technique, far better input.

Audience extension across the open web. Enrichment lets you find people who match your customer profile on inventory where you have no first-party relationship at all. You are not chasing your existing audience across the internet; you are finding new people who resemble them.

Recovering unaddressable reach. As third-party cookies and device identifiers degrade, a meaningful share of your addressable audience simply disappears from view. Enrichment built on durable identity signals recovers part of that including reach you were losing silently and probably were not measuring.

The practical framing for a client conversation: enrichment is not a precision-versus-scale tradeoff. It raises the ceiling on both, because a better-described audience models better and activates more widely than a list of identifiers does.

Enriching First-Party Data When You Don’t Have Much of It

The most common objection to enrichment from agency side is some version of: our client’s first-party data is thin, so this won’t work for us.

It is a fair concern and mostly a misunderstanding of how the process works.

You need quality, not quantity. Enrichment scales from a well-defined seed, not a large one. A few thousand genuine converters may produce better enrichment and better lookalikes than hundreds of thousands of stale newsletter signups. If the client has a small, clean list, you are in better shape than you think.

Site behavior counts as first-party data. Clients who say they have no first-party data almost always mean they have no CRM database. Site visitors, content engagement, product views, cart activity, app usage, and search behavior are all first-party signals and all enrichable.

Second- and third-party data fills the gap. When first-party data genuinely is not enough, third-party audience data provides the base you build from. This is the step most media buyers skip and it is the difference between a campaign constrained by what the client happens to have collected and one built on the full picture.

Match rate is the number to ask about. Whatever the seed size, ask any prospective partner what match rate they achieve against an audience like yours, in your geography. A provider who will not answer that question specifically is telling you something.

Identity resolution is the mechanism underneath all of it. Enrichment only works if the provider can recognize that the record in your CRM, the visitor on your client’s site, and the signal from a CTV device all resolve to the same consumer. That’s identity resolution connecting fragmented signals across devices, browsers, and channels into a single, privacy-safe view of the consumer. Our primer on identity resolution covers how it works.

Questions to Ask When Choosing a Data Enrichment Partner

Not all data enrichment providers are created equal. Many third-party data sources seem similar on the surface, but the quality, accuracy, and usability of the data vary significantly. When selecting a data partner, think like a data scientist and ask these key questions:

1. Does the data provide depth and breadth?
   You need multi-dimensional insights, not just more of the same generic data.
2. Is the data tied to unique identifiers?
   A strong data provider integrates with multiple ID frameworks, ensuring you can scale across all channels and avoid fragmented targeting.
3. Does the data cover web, mobile, retail, and TV?
   A cross-channel approach ensures your targeting remains consistent across all consumer touchpoints.
4. Is the onboarding process seamless?
   A user-friendly platform with intuitive analytics and strong customer support makes implementation easy.

For example, if you use Lotame Data Exchange, you can start with over 5,000 pre-packaged audience segments covering demographics, behavioral, B2B, purchase intent and more — and they’re available globally. You can get more refined, with precision demographic and interest audiences. Or you can work with Lotame data specialists to create your own custom blends of first-, second- or third-party data across web, mobile, and TV.

Activating Data Enrichment in Your Media Plan

If the best audience data costs more than free (hint, wink), how do you know if it’s worth it?

The key is to focus on breadth and depth. The richer the audience data, the better it performs in:

• Hyper-personalized messaging
• Granular audience segmentation
• More precise media buying decisions

A smart media plan fueled by weak data might perform OK. But a smart media plan fueled by smart data enrichment can reach new heights. It can perform better because it’s smarter to begin with.

Measuring Enrichment: How to Prove It Worked

Every enrichment conversation with a client ends at the same question: how do we know it did anything? Have the answer ready before you start, because retrofitting measurement onto a running campaign rarely produces a clean read.

Hold out a control. The cleanest proof is the simplest: run the enriched audience against an unenriched baseline of the same size on the same creative and inventory. Compare CPA, conversion rate, and reach efficiency. This is unglamorous and it is what makes the case.

Watch reach efficiency, not just conversion rate. Enrichment frequently improves conversion rate modestly and wasted impressions dramatically. If you only report conversion rate, you will understate the result — suppressing poor-fit audiences is often where most of the value sits.

Attribute at the segment level. Enriched audiences are usually split into behavioral sub-segments. Measure each separately. You will nearly always find that one or two sub-segments carry the performance, which tells you where to concentrate the budget next flight.

Instrument for cross-channel. Enrichment’s advantage is that one audience definition travels across DSP, social, CTV, and curated inventory. That only becomes measurable if the audience carries consistent identity across those channels. Plan for that at activation, not at reporting.

Track match rate as a leading indicator. Match rate tells you how much of your audience the enrichment actually reached, and it moves. A quietly declining match rate explains a lot of performance drift that gets blamed on creative fatigue.

Set the baseline before you start. Record pre-enrichment performance explicitly. Six weeks in, nobody will remember what the unenriched numbers were, and the comparison is the whole argument.

Audience Enrichment by Vertical

Enrichment is not category-neutral. The signals that matter, and the ones worth paying for, differ substantially by vertical.

Travel. One of the highest-return categories, because travel intent is both strongly signaled and sharply time-bound. Destination research, booking behavior, loyalty program engagement, and seasonal patterns let you separate someone actively planning from someone idly browsing, a useful distinction that is invisible in unenriched data and worth a great deal in CPA. See our guide to essential target audiences for travel campaigns.

Retail media and commerce. Retail media networks have deep purchase data and limited visibility off their own properties. Enrichment extends what the network knows about a shopper into the broader web, which is what makes off-site retail media perform rather than just exist.

Automotive. Long consideration cycles and a narrow in-market window make enrichment nearly mandatory. Behavioral signals identify active shoppers months before any dealer-side signal appears. See how to target automotive audiences.

CPG. Low individual purchase value and weak first-party data make third-party enrichment the primary route to audience definition. Household composition, dietary and lifestyle signals, and shopping-channel preference do most of the work.

Sports and entertainment. Fandom is a durable identity signal that predicts far more than sports consumption. Enriched fan audiences reveal travel, dining, and fitness behavior well beyond the obvious.

The common thread: enrichment’s value is highest wherever intent is real but invisible in the data you already hold.

Partnering With Data Experts for Better Enrichment

It’s smart to be a more savvy data buyer, but that doesn’t mean you have to do everything yourself. The real magic happens when you partner with experts in audience data enrichment. We’ve been at it for 18+ years at Lotame so we know a thing or two about data. 

The smartest media buyers we know usually bring us a brief. They talk with us about campaign goals, and we put together a custom audience solution—complete with pricing—within 24 hours. If you need a custom segment immediately, we can have it available in a brand’s platform of choice within 48 hours.

If you do data enrichment right, your bosses at the agency will notice — and so will your clients. You’ll deliver more granular personalization, sharper messaging, and reach out to customer segments that a less sophisticated approach won’t find. 

The smarter you are about data, the faster your career will grow. 

It’s easy when you have the right partners in place. And we can be that partner, all you have to do is reach out. 

Frequently Asked Questions