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TransUnion Analysis Reveals Massive Performance Gap Between Best and Worst Audience Targeting Decisions

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TransUnion's analysis of real-world campaigns reveals a significant performance gap in audience targeting decisions. The study, based on data from 25 clients across five verticals, shows that optimal targeting can yield up to 9x return on ad spend (ROAS) when combining six consumer characteristics correctly. Conversely, poor targeting decisions can result in up to -90% ROAS. The analysis evaluated 26 targeting attributes across categories like age, income, and neighborhood type. With single characteristic targeting, correct decisions yielded 97% ROAS while wrong decisions resulted in -49% ROAS. The impact compounds with multiple characteristics: two optimal traits showed 3.6X ROAS upside, three traits yielded 7.2X ROAS upside. The study analyzed $1.5 billion in campaign spend and 18.4 billion events across various media channels.
L'analisi di TransUnion sulle campagne reali evidenzia un notevole divario nelle prestazioni legate alle decisioni di targeting del pubblico. Lo studio, basato su dati di 25 clienti in cinque settori, dimostra che un targeting ottimale può generare un ritorno sulla spesa pubblicitaria (ROAS) fino a 9 volte maggiore combinando correttamente sei caratteristiche dei consumatori. Al contrario, decisioni di targeting errate possono portare a un ROAS negativo fino al -90%. L'analisi ha valutato 26 attributi di targeting in categorie come età, reddito e tipo di quartiere. Con il targeting basato su una singola caratteristica, le decisioni corrette hanno prodotto un ROAS del 97%, mentre quelle sbagliate un ROAS del -49%. L'effetto si amplifica con più caratteristiche: due caratteristiche ottimali mostrano un aumento del ROAS di 3,6 volte, tre caratteristiche raggiungono un aumento di 7,2 volte. Lo studio ha analizzato una spesa pubblicitaria di 1,5 miliardi di dollari e 18,4 miliardi di eventi su vari canali media.
El análisis de TransUnion sobre campañas reales revela una brecha significativa en el rendimiento de las decisiones de segmentación de audiencia. El estudio, basado en datos de 25 clientes en cinco sectores, muestra que una segmentación óptima puede generar hasta 9 veces el retorno de la inversión publicitaria (ROAS) al combinar correctamente seis características del consumidor. Por el contrario, decisiones de segmentación incorrectas pueden resultar en un ROAS negativo de hasta -90%. El análisis evaluó 26 atributos de segmentación en categorías como edad, ingresos y tipo de vecindario. Con segmentación basada en una sola característica, las decisiones correctas produjeron un ROAS del 97%, mientras que las erróneas resultaron en un ROAS del -49%. El impacto se multiplica con múltiples características: dos rasgos óptimos mostraron un aumento de 3,6 veces en ROAS, tres rasgos alcanzaron un aumento de 7,2 veces. El estudio analizó 1.500 millones de dólares en gasto de campaña y 18,4 mil millones de eventos a través de varios canales de medios.
TransUnion의 실제 캠페인 분석은 타깃팅 결정에서 상당한 성과 격차를 보여줍니다. 5개 산업 분야 25개 고객의 데이터를 기반으로 한 이 연구는 6가지 소비자 특성을 올바르게 조합할 경우 최적의 타깃팅이 광고비 대비 최대 9배의 수익률(ROAS)을 낼 수 있음을 보여줍니다. 반면, 부적절한 타깃팅 결정은 최대 -90%의 ROAS 손실을 초래할 수 있습니다. 분석은 연령, 소득, 거주 지역 유형 등 26개의 타깃팅 속성을 평가했습니다. 단일 특성 타깃팅 시 올바른 결정은 97% ROAS를, 잘못된 결정은 -49% ROAS를 기록했습니다. 다중 특성에서는 효과가 누적되어 두 가지 최적 특성은 3.6배, 세 가지는 7.2배 ROAS 상승을 보였습니다. 이 연구는 15억 달러의 캠페인 지출과 184억 건의 이벤트를 다양한 미디어 채널에서 분석했습니다.
L'analyse de TransUnion sur des campagnes réelles révèle un écart significatif de performance dans les décisions de ciblage d'audience. L'étude, basée sur les données de 25 clients dans cinq secteurs, montre qu'un ciblage optimal peut générer jusqu'à 9 fois le retour sur les dépenses publicitaires (ROAS) en combinant correctement six caractéristiques des consommateurs. À l'inverse, de mauvaises décisions de ciblage peuvent entraîner un ROAS allant jusqu'à -90 %. L'analyse a évalué 26 attributs de ciblage dans des catégories telles que l'âge, le revenu et le type de quartier. Avec un ciblage basé sur une seule caractéristique, les décisions correctes ont produit un ROAS de 97 %, tandis que les mauvaises décisions ont abouti à un ROAS de -49 %. L'impact se cumule avec plusieurs caractéristiques : deux traits optimaux ont montré un ROAS multiplié par 3,6, trois traits par 7,2. L'étude a analysé 1,5 milliard de dollars de dépenses de campagne et 18,4 milliards d'événements sur divers canaux médiatiques.
Die Analyse von TransUnion zu realen Kampagnen zeigt eine erhebliche Leistungslücke bei Entscheidungen zur Zielgruppenansprache. Die Studie, basierend auf Daten von 25 Kunden aus fünf Branchen, zeigt, dass optimales Targeting eine bis zu 9-fache Rendite auf Werbeausgaben (ROAS) erzielen kann, wenn sechs Verbrauchereigenschaften korrekt kombiniert werden. Im Gegensatz dazu können schlechte Targeting-Entscheidungen zu einem ROAS von bis zu -90 % führen. Die Analyse bewertete 26 Targeting-Attribute in Kategorien wie Alter, Einkommen und Nachbarschaftstyp. Bei Targeting mit einer einzelnen Eigenschaft erzielten richtige Entscheidungen einen ROAS von 97 %, während falsche Entscheidungen einen ROAS von -49 % zur Folge hatten. Die Wirkung verstärkt sich bei mehreren Eigenschaften: zwei optimale Merkmale zeigten eine ROAS-Steigerung um das 3,6-fache, drei Merkmale eine Steigerung um das 7,2-fache. Die Studie analysierte 1,5 Milliarden Dollar Kampagnenausgaben und 18,4 Milliarden Events über verschiedene Medienkanäle.
Positive
  • Analysis demonstrates potential for up to 9x return on ad spend with optimal targeting decisions
  • Study based on substantial real-world data: $1.5 billion in campaign spend across 25 brands
  • Even single characteristic targeting can yield 97% ROAS when done correctly
  • Research covers broad range of media channels including audio, CTV, display, search, social and video
Negative
  • Wrong targeting decisions can result in severe negative returns up to -90% ROAS
  • Poor targeting compounds negative effects as more characteristics are added
  • Single characteristic wrong decisions result in -49% ROAS
  • Complexity increases with multiple targeting attributes, raising risk of poor decisions

Insights

TransUnion's analysis reveals optimal audience targeting can yield 9X ROAS while poor targeting results in 90% losses, demonstrating strategic targeting's financial impact.

TransUnion's comprehensive analysis across 25 brands and $1.5 billion in campaign spend delivers compelling evidence of how audience targeting precision directly impacts financial performance. The data reveals a clear mathematical progression in return on ad spend (ROAS) as targeting sophistication increases—with optimal six-characteristic targeting yielding a remarkable 9X return, while poor targeting decisions at the same complexity level result in devastating -90% returns.

What makes this analysis particularly valuable is its real-world foundation. Rather than theoretical models, TransUnion analyzed 18.4 billion actual marketing events across multiple channels including connected TV, audio, display, search, social and video. The cross-vertical nature of the sample—spanning five industries with multiple brands per category—demonstrates the universal applicability of these findings regardless of sector.

The most significant insight is the compounding effect of targeting decisions. Each additional targeting parameter exponentially impacts performance—both positively and negatively. This creates an increasingly wide performance gap between optimal and sub-optimal decisions, highlighting how seemingly minor targeting choices compound into major financial consequences.

For marketers, this represents a fundamental shift in how audience strategy should be approached. Rather than relying on broad demographic assumptions, the data supports a more sophisticated, multi-dimensional approach to audience building that can deliver transformative financial outcomes when executed correctly—and potentially catastrophic results when implemented poorly.

As targeting choices become more sophisticated, the impact on return on ad spend compounds — for better or worse

CHICAGO, June 12, 2025 (GLOBE NEWSWIRE) -- An analysis from TransUnion (NYSE: TRU) sheds new light on the impact of audience composition on marketing performance, showing that making the best targeting decisions can have a compounding effect on return on ad spend (ROAS}—an upside of up to 9x.

The analysis, based on real-world campaigns from 25 TransUnion measurement clients across five verticals, revealed a widening performance gap as audiences became more targeted: An audience built with two optimal consumer traits had a 3.6X ROAS upside, while an audience with three optimal traits had a 7.2X ROAS upside.

Conversely, the analysis also highlights the risk of making sub-optimal targeting decisions, i.e., the more campaigns were targeted to the wrong audience segments, the worse they performed. At the farthest end of that spectrum, mistargeted campaigns saw –90% ROAS, placing fresh emphasis on the importance of audience building to the bottom line.

“In a world with thousands of targeting choices, the challenge is selecting the most effective option from many that appear similar,” said Matt Spiegel, EVP of TruAudience Growth Strategy. “Our data proves that even within common attributes like income or age, the performance difference can be massive.”

Positive and Negative Impact of Targeting Sophistication on ROAS

 Single
Characteristic
Audience
Two
Characteristics
Combined
Three
Characteristics
Combined
Four
Characteristics
Combined
Six
Characteristics
Combined
Correct
Decisions
97%3.6X7.2X8.3X9X
Wrong
Decisions
-49%-78%-88%-89%-90%

The analysis evaluated 26 targeting attributes across six distinct categories such as age, income, presence of children, and neighborhood type. The findings showed that even subtle variations in targeting led to significant swings in return on ad spend — reinforcing the need for smarter audience strategy.

Rather than defaulting to broad assumptions — like “go after high income” or “target by age group” — marketers have an opportunity to uncover more precise combinations, often where they least expect them. The analysis reveals just how much performance can hinge on thoughtful, data-backed audiences.

“This isn't guesswork — it's measured behavior," said Mike Finnerty, SVP Marketing Solutions at TransUnion. "Recognizing the impact of the best targeting decisions on the bottom line and pulling out actionable insights is only possible when you have a persistent view of identity that runs through every marketing activity, from planning to measurement."

Ultimately, this analysis illustrates the true potential of multi-dimensional targeting, putting it alongside engaging creative as a key driver of marketing performance.

"In today's marketing landscape, great creative and thoughtful precise targeting are both needed to create the best outcomes. And it is worth noting that targeting decisions by themselves, especially more advanced targeting strategies, are independently impactful," concluded Spiegel.

Click here to learn more about TruAudience audience solutions.

Methodology
The analysis is based on Q4 2024 campaign data from 25 brands across five industries, with at least two brands per industry. Quarterly spend ranged from $5 million to over $100 million per brand. In total, $1.5 billion in campaign spend and over 18.4 billion events across a broad set of addressable paid media channels, including audio, connected TV, display, search, social and video were analyzed using TransUnion’s MTA platform and TruAudience® identity graph. Return on ad spend reflects actual ad exposure and conversion outcomes at the household level.

About TransUnion (NYSE: TRU)
TransUnion is a global information and insights company with over 13,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world. http://www.transunion.com/business

ContactDave Blumberg
 TransUnion
  
E-maildavid.blumberg@transunion.com 
  
Telephone312-972-6646

FAQ

What is the maximum ROAS improvement possible with TRU's optimal audience targeting?

According to TransUnion's analysis, optimal audience targeting using six combined characteristics can achieve up to 9x return on ad spend (ROAS).

How does wrong targeting affect ROAS according to TransUnion's study?

Wrong targeting decisions can lead to severely negative returns, with up to -90% ROAS when multiple characteristics are incorrectly combined.

What was the scope of TransUnion's targeting analysis study?

The study analyzed $1.5 billion in campaign spend and 18.4 billion events from 25 brands across five industries, with quarterly spend ranging from $5 million to over $100 million per brand.

How does combining multiple targeting characteristics affect ROAS?

Combining characteristics amplifies results: two optimal traits yield 3.6X ROAS, three traits yield 7.2X ROAS, and six traits can achieve 9X ROAS when done correctly.

What targeting attributes did TransUnion evaluate in their study?

The analysis evaluated 26 targeting attributes across six categories including age, income, presence of children, and neighborhood type.
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