At A Glance
With Experian’s Digital Graph, a leading DSP resolved 84% of IDs and increased match rates across digital channels such as CTV and display. The result: stronger attribution, clearer ROI proof, and renewed client confidence.Demand-side platforms (DSPs) are more than just technology providers, they’re strategic partners, helping marketers answer the key question: “How should I spend my media budget?”
A leading DSP struggled to attribute consumer actions across digital channels such as connected TV (CTV) and display. Without connecting impressions to conversions, they risked losing client trust and ROI proof. With Experian’s Digital Graph, they resolved 84% of IDs and increased match rates, strengthening attribution and client confidence.
The challenge
A leading DSP had trouble showing which ads drove results across CTV, display, and digital. Without linking ad views to conversions, they couldn’t prove ROI.
The missing piece was attribution. They needed to show which channels drove conversions, but without strong identity resolution, it was hard to connect CTV ads to website activity.
What is Experian’s Digital Graph?
Built from trillions of real-time data points and updated weekly, Experian’s Digital Graph connects billions of identifiers across devices and households, such as cookies, mobile ad IDs (MAIDs), CTV IDs, IP addresses, universal IDs, and more. It gives DSPs a reliable foundation by linking these identifiers back to households and individuals, improving DSPs’ ability to offer attribution by better connecting impressions to conversions.
What makes the Digital Graph unique is its scale and freshness. It ingests trillions of signals in real time and delivers updates weekly. That consistency matters: it gives DSPs confidence that they’re working with the most accurate view of digital identity.
AI and machine learning (ML) are core to how we maintain that level of accuracy. Our models use sophisticated clustering algorithms to analyze device connections at both household and individual levels. By evaluating data points such as timestamps, IP addresses, user agents, cookie IDs, and device identifiers, these algorithms create precise device groupings that enhance targeting and measurement accuracy. The models are continuously refined, ensuring our clients can better understand consumer behaviors within households and activate more effective, personalized marketing.
Think of it like connecting puzzle pieces scattered across devices and channels. On their own, each piece doesn’t say much. Together, they reveal the full picture of who saw an ad, engaged, and converted, and which ads performed best.
The solution
By syncing its cookies with the Digital Graph, the DSP gained access to related identifiers, including:
- MAIDs
- CTV IDs
- IP addresses
- Experian cookies
This expanded identity universe gave the DSP a unified view of individuals and households, making it possible to connect impressions to conversions across devices and channels. With each weekly refresh, attribution models stayed accurate and up to date, turning fragmented signals into proof of performance.
Results
Within weeks, the DSP saw measurable improvements:
- 84% of IDs synced
- 9% increase in match rates
With a stronger foundation of digital identifiers, the DSP matched more MAIDs, CTV IDs, and IP addresses to conversions. This allowed them to show clients exactly which ads and channels drove ROI, transforming impression reports into actionable proof of performance and strengthening client trust.
Why attribution matters now
Attribution has never been more critical. With signals fading and marketing budgets under pressure, DSPs need reliable data to prove performance.
Experian’s Digital Graph takes a multi-ID, always-on approach, refreshed weekly with trillions of signals. This delivers consistency and accuracy that single-point, stale-ID solutions can’t match.
For this DSP, that meant transforming attribution from guesswork into clear proof, strengthening client trust, and proving ROI across channels.
Connect with us today to see how our Digital Graph can help you maximize advertiser trust and ROI.
Ready to strengthen your approach to attribution?
FAQs
Experian’s Digital Graph is a privacy-conscious identity resolution solution built from trillions of real-time data points, refreshed weekly, that links identifiers like cookies, MAIDs, CTV IDs, Unified I.D. 2.0 (UID2), ID5 IDs and IP addresses to households and individuals.
Experian’s Digital Graph improves attribution by connecting impressions to conversions across devices and channels, giving DSPs a clearer view of which ads and channels drove results.
While many platforms rely on single, static IDs, Experian’s Digital Graph uses a multi-ID, always-on approach with weekly refreshed, ensuring accuracy even as signals shift.
When you use Experian’s Digital Graph, you can expect higher match rates, more synced IDs, clearer attribution models, and stronger proof of ROI for your clients. Because Experian’s Digital Graph serves as the backbone of the industry, it also helps DSPs maximize the scale and reach they can deliver to advertisers.
Yes. Experian’s Digital Graph is designed with privacy in mind, ensuring compliance while still delivering accurate attribution insights.
Latest posts
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Combined technology gives marketers an enhanced view of the customer for improved planning, targeting and optimization NEW YORK, July 12, 2016/PR Newswire/ - Tapad, the leader in cross-device marketing technology and now a part of Experian, today announced a partnership with Conversion Logic, the martech industry's most accurate unified marketing attribution provider. Conversion Logic will incorporate unified cross-screen data from Tapad's Device Graph™ to identify related devices and media exposures to enhance reporting on the path to conversion. By connecting Conversion Logic's proprietary Ensemble Method, which combines numerous state-of-the-art machine learning algorithms, tuned for each customer use-case for the most accurate results, with Tapad's unified, cross-device technology, marketers will benefit from a highly scientific approach to assessing advertising effectiveness with full, comprehensive customer insights. Linking these technologies will increase marketers' real-time ability to optimize brands' marketing channel spend and creative at a more granular level. During the past six months, Tapad has rapidly grown its data business, doubling the number of companies integrating the Device Graph™ into their platforms and growing the annualized revenue run rate by 210%. Tapad's highly scalable, cross-device data has been confirmed by Nielsen to be very precise. Tapad augments platforms' and publishers' tech stacks with additional scale and relevancy, granting advertisers amplified targeting and analysis options. The growth of the Device GraphTM has allowed Tapad to provide a growing network that benefits all partners with more efficient, effective consumer engagement. "Combining highly accurate data from Tapad with our own user ID technology and understanding how devices may be related at an individual level provides additional visibility into the path to conversion," said Alison Lohse, COO and co-founder of Conversion Logic. "The more we know about the customer journey, the more effective, efficient and customized marketers can be with marketing efforts. With Tapad, we have achieved a unified customer view that helps us piece together the purchase journey while preserving proven accuracy." "Conversion Logic's Ensemble Method delivers singularly customized and precise results that are not just accurate, but actionable," said Dave Fall, COO of Tapad. "The combination of powerful technology and a user-friendly interface, plus Tapad's ability to only consider relevant and scalable components in the marketplace, creates a more concentrated and beneficial environment for both its partners and clients." Contact us today
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