Home On TV & Video Can Comcast’s Blockgraph Bring Data Matching And Crypto Tech To TV?

Can Comcast’s Blockgraph Bring Data Matching And Crypto Tech To TV?

SHARE:

Comcast’s FreeWheel ad server business has been developing a blockchain-based data onboarding service called Blockgraph since December 2018.

The system is finally ready for a broader push into the TV ad industry, said Blockgraph GM Jason Manningham.

Last year, Blockgraph ran the first campaign where a marketer’s first-party CRM data was directly matched to a TV distributor’s targetable data without a third-party onboarder.

Blockgraph’s task now is to make that work when multiple potential broadcasters pool their audience data to enable targeting for a single advertiser.

The business has shifted somewhat along with broader trends in the market. When Blockgraph was created in 2018, at the height of the blockchain-for-business boom, it pitched itself as a blockchain-based product. Now Blockgraph is positioned as a data onboarding and clean room technology, more akin to how platforms such as Google and Amazon merge their audience data with marketer segments.

AdExchanger caught up with Manningham about Blockgraph’s plans for the year ahead.

AdExchanger: Where is Blockgraph now in terms of launching a fully-baked commercial product?

JASON MANNINGHAM: We’ve been focused in the past year on moving out of the proof-of-concept phase and into the early stages of platform adoption. We’ve run a series of successful pilots.

A priority right now is establishing a significant deterministic identity layer, which becomes the base of the platform and the necessary activity. That’s really when you start being able to demonstrate how you can address the right audiences in a privacy-considerate way. It’s a two-sided system where we’re adding identity and distribution partners, and having that allows us to build advanced ad features.

Advanced ad features?

Some of the basics are like targeting and frequency capping.

The first pilots were for data matching on a peer-to-peer basis. So, an advertiser with its customer data matches with an MVPD [cable or satellite service providers such as AT&T, Comcast and Cox] to size out their target audience. It also allows them to optimize on linear or in addressable video environments.

This year, our pilots are focused on cross-platform features, now that there are a few distributors involved. That means taking a given audience segment, doing a match across distributors and passing that data to ad management platforms like FreeWheel to optimize campaigns across platforms, instead of necessarily with one-to-one advertising deals between a buyer and a broadcaster.

Who are the kinds of partners you need right now?

I can’t name names right now, but the types of companies we’re talking about have distribution in TV. Not surprisingly, that means the MVPDs. [Charter, ViacomCBS and Comcast sibling company NBCUniversal are Blockgraph’s public partners.]

And in the broader video ecosystem there are other distributors, like OTT services and even smart TV manufacturers themselves; perhaps publishers launching their own direct-to-consumer video apps.

The key is to add partners who can authenticate the user, or viewer, and the household.

Are “identity” and “distribution” practically the same for you, or could certain partners provide one and not the other?

Some companies in the ecosystem may provide audience segments or inventory. Those would be trusted third-party services. But in terms of being able to establish our identity layer base, we are focused on TV industry distributors.

Distributors control enablement, where and when the ad is going to be served. But they also have the appropriate basis for using audience data. So in that sense, identity and distribution are closely connected, in the form of cable deals and other relationships directly with households.

What’s the revenue model?

We are a subscription-based business, with software licensing costs to join our network. Those costs would vary depending on the type and size of the company’s data.

The idea is for it to be very economical. And as we add value and more use cases, we want to keep that price low and at a fixed rate. That means as it scales it becomes cheaper and more effective, compared to providers today that charge a percentage of media or a fee per impression.

So, it’s similar to data onboarding companies?

It’s a peer-to-peer version of data onboarding. So with a company like LiveRamp, both parties would onboard data and audience files to the third-party company, which sends back synthetic IDs that work amongst themselves.

Blockgraph replicates that, but instead of the data going to a trusted third party, they’d run our software in their systems to anonymize audience records. From there, the data can be matched and shared across our common identity layer.

Another important difference is that we provide household-based identity. Most digital identifiers are focused on being people-based, whereas in TV and streaming video media is still transacted at the household level.

Is “blockchain” still part of the pitch?

It’s a fair question.

I will say that the name “Blockgraph” was always about building the identity block by block. We did get some confusion around that. But a lot of technology we use is inspired by distributed, blockchain-based systems. We use a distributed data base and cryptography so that our identity layer can span the whole system, but the data isn’t visible to any partiers without its owner’s permission.

One of the reasons we couldn’t rely on blockchain is we need to be able to identify individuals and the data and impressions attached to them because there are “right to be forgotten” laws if people want to be removed from the system.

This is a common issue in collaborative TV industry initiatives, but why should non-Comcast companies join your network?

There are two answers. For one, our system is decentralized and can be hosted by any distributor. We have no visibility into the data: They run the software on their systems with full transparency. That isn’t something you get in the world of black-box algorithms and platforms.

Comcast also has a strong vested interest in making sure the TV industry grows and thrives based on data-driven advertising. Comcast has been a leader with FreeWheel and addressability initiatives.

Television is being redefined at this moment, and what we want is to apply the benefits of traditional TV reach and frequency management with the best of digital, which means ROI metrics and optimization.

Must Read

Apple Has Far-Reaching Plans To Block Hundreds Of Programmatic Data Companies From iOS

Apple’s WebKit crackdown appears to extend well beyond The Trade Desk, putting hundreds of ad tech, data and identity vendors on a mysterious, dynamically updated block list.

Josh Reed, Zoom's VP of brand and content, speaking at AdExchanger's Programmatic IO event in New York City (September 28, 2006)

Zoom’s Marketing Challenge Is That It’s Too Well Known For Its Own Good

Zoom has 99% unaided brand awareness, which sounds great on paper. But there’s a catch: Most people still think it’s just a video-call app.

Why Agencies Think They Shouldn’t Own Agentic AI Tools Or The Data Used To Build Them

Agencies are differentiating their tech stacks by building custom agentic AI tools for their clients. And they’re rethinking owning those AI tools – particularly since licensing them creates new revenue streams.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Programmatic IO: Insurers Are Building Ad Tech’s AI Accountability Layer

Agencies and marketers discussed the future of AI governance at AdExchanger’s Programmatic IO NYC this week. The main takeaway? Expect insurers to play an increasingly important role in managing AI compliance.

Apple’s Latest Operating System Blocks The Trade Desk From Serving Ads On Safari

The Trade Desk is unable to serve ads to the Safari browser for Apple device owners that have downloaded iOS 27. Apple has been investigating the issue since last week.

Who Will Stand Up For The Open Web?

The open web is done, stick a fork in it. Banner blindness is near universal, search traffic has run dry and publishers are struggling for oxygen. But what if that’s … not true?