Nicolle Pangis comments in Advertising Age:
85% of U.S. media buyers use programmatic advertising. Programmable brands connect all the devices and technologies consumers use, then integrate (them) into a seamless whole. Programmable brands use analytics to find consumers at the right point with the right message. They use data to deliver refined and honed experiences that the individual will value and accept, not avoid and block. (Such) messages can be made substantially more relevant to a consumer.
85% of U.S. media buyers use programmatic advertising. Yet brands don't have full confidence that they are reaching the right audiences with their messages in the right channels and frequency.
Programmatic media buying can be fragmented and siloed based on format or platform scale challenges when targeting a particular audience, which makes brand marketers feel challenged to cost-effectively find and target consumers in the most impactful ways. They need to tap into a new generation of tools powered by leveraging the most critical data from big data sets and machine-learning technologies that let them deliver personalized experiences to engage consumers in meaningful ways at every stage of the customer journey. Consumers then move effortlessly among platforms and devices.
So, too, must brands. As Karsten Weide, VP of Media & Entertainment at IDC, says in the new Xaxis-sponsored report, "You don't care about channels anymore, or whether your brand advertisement runs on display, mobile, desktop, connected TV or wherever else—it's who you want to talk to that matters."
Brands must become "programmable brands."
Connectivity: Just the First Step
First, programmable brands must connect to all the devices and technologies consumers use, then integrate multiple technology partners along the programmatic process into a seamless whole. They need the ability to see consumers as individuals in a unified—but anonymous—way as those people travel among different platforms and channels, a single view that reveals the messages the consumer has seen and where that consumer is in the marketing journey.
Rather than trying to guess where people might be, marketers need technologies that unify an individual's identity across devices—a foundational capability of programmable brand marketing. Programmable brands must also use data and analytics to find consumers at the right point in their customer life cycle with the right message. They must use the best data to deliver refined and honed experiences that the individual will value and accept, not avoid and block.
We are moving into a world where messages can be made substantially more relevant to a consumer than in the past by leveraging data and technology not previously available. Brands can then automatically and effectively deliver messages as the consumer moves from brand awareness, to interest, to consideration and purchase intent. With the proliferation of machine learning, a brand can even look back to the future in that we can model behaviors of audiences who performed a particular action and find consumers who look just like those consumers did 60, 30, 15 days ago and begin new consumer life cycles with machines.
Marketers can then quickly move spending and control sequencing across devices and platforms. Additionally, they can uncover overlooked ad inventory with high performance potential based on history while removing those ads that are not performing well down to a placement level.
The Programmable Vision
Programmatic is fast evolving beyond last-click performance metrics to incorporate the full range of brand-driven campaigns while doing so efficiently and cost-effectively.
The brands that lean into this fast-evolving digital economy—those that become programmable—will best succeed.
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