Home Data-Driven Thinking When ‘Programmatic In-House’ Is Really Not In-House

When ‘Programmatic In-House’ Is Really Not In-House

SHARE:

meganpagliucaupdated“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is by Megan Pagliuca, vice president and general manager for digital media at Merkle Inc.

The marketers that are truly taking digital media in-house are few and far between.

Those that are successful with in-house media tend to be the digitally native marketers for whom digital is already a core competency, such as Groupon or Amazon. These types of marketers have often built their own ad servers, web analytics platforms, demand-side platforms (DSP), preferred-marketing developers (PMD), data-management platforms and attribution methodologies. When Groupon says it does all of its digital media in-house, it means it.

I see a trend of marketers pushing back against a broken agency model and, rightfully, firing their agencies. However, the media-buying services aren’t being taken in-house. Instead, they are being moved directly to buy-side technology platforms.

One marketer that many say is taking digital media in-house is Procter & Gamble. P&G was, and remains, a true innovator in digital – this year it announced that it’s aiming for 70% of its budget to be run programmatically. In 2009, Right Media launched P&G’s programmatic initiative, known as Hawkeye. Right Media kicked off the project by hiring 15 people from agencies to provide media-buying services and trained them on programmatic. Programmatic media was not taken in-house, but certain functions were moved to Right Media. Today, we continue to see DSPs and PMDs developing large managed services organizations to support the marketers that are “going in-house.”

It’s not ideal for technology companies to also build managed-services arms. It distracts them from focusing on building best-of-breed technology. It can also negatively impact their valuations, which tend to be based on technology revenue rather than services revenue. Building agency-like media services is becoming a necessary evil and a distraction for many ad tech companies.

Marketers are right to push back against the current agency model, which is fundamentally broken in two ways. The first is transparency regarding cost. Agency trading desk double-dipping is well documented and is increasingly well-known and understood. For example, I’ve worked with a financial-services marketer that was paying a percentage of media to its agency (around 8%), the trading desk (around 30%) and then the trading desk leveraged DSP-managed services (10%). Nearly half of the marketer’s media spending went to service fees only.

The second problem is a shortage in the knowledge, skills and competency required to leverage programmatic within the agency, since those talents get siloed within the trading desk. This is particularly problematic when it comes to using the marketer’s first-party personally identifiable data. The point of programmatic is to enable an easier-to-establish and more scalable connection between marketers to publishers and audiences. Yet, as an example, I consistently see media plans that include big-name DSPs, like any other publisher. The media plan should still be about publishers and audiences. It would be ludicrous to put an ad server on a media plan as a publisher. But a demand-side platform, which is simply a technology to connect to publishers, is often included in agency media plans.

For marketers, moving their services to buy-side technology platforms doesn’t necessarily solve this problem. Marketers typically end up with one or more shared full-time-equivalent employees that don’t understand their business or broader media portfolio. The recommendations that the marketers receive are specific to the platform, and innovations are missed if that platform wasn’t first to market with them. It’s a siloed view within the channel, and then within the platform within the channel.

While I applaud marketers for pushing back against the broken status quo, moving their services layer to buying platforms is not necessarily in their best interest, either. Marketers should either build a true in-house capability or leverage a services provider that gives them the transparency and accountability that they require. Either way, marketers should demand cost transparency and clarity in their data usage. And they should understand their platform relationships, whether they own them directly or they are managed by their services provider.

Follow Megan Pagliuca (@meganpagliuca), Merkle (@merkleCRM) and AdExchanger (@adexchanger) on Twitter.

Tagged in:

Must Read

Single continuous line drawing robot riding pencil rocket flying in the sky. Tech education and creativity. Future technology development. Artificial intelligence. One line design vector illustration

Q3: Omnicom’s Media Business Is Growing, But Is It Agent-Proof?

If AI agents can plan and buy media, who needs a holding company? Good question. It came up during Omnicom’s Q3 earnings on Thursday.

Netflix Touts New Measurement Capabilities As It Struggles With “Modest” Engagement Growth

Netflix’s revenue grew 12% YOY to $12.9 billion in Q3, which it maintains is in line with its forecast. Its ads business, however, is lagging slightly compared with expectations, causing Netflix to tweak its forecast for the rest of the year.

Apple Publishes Its Plan To Wipe Out Web Tracking

Apple is coming for identity resolution. WebKit’s latest tracking crackdown targets the infrastructure behind post-cookie IDs – and switching to a first-party setup won’t necessarily spare vendors.

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

AI Slop Sites Are On The Rise. Is Ad Tech Ready For Its New MFA Challenge?

Advertising supply chain intelligence company DecryptAds uncovered more than 2,100 AI-generated recipe sites that are monetized with programmatic ads and feature fabricated author profiles.

How Australian Home Lender Lendi Measures The Invisible Work Of AI

Most brands and businesses are trying to figure out how to improve their metrics when it comes to AI – and also what those metrics even are.

AI Startup Minerva Built An Agentic CDP, But Don’t Call It That

Minerva wants to turn fragmented customer data into something marketers can use, with AI agents doing the work behind the scenes.