Audience Planning Ate Media Planning

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 written by Brian Monahan, global client president and head of US ventures at Dentsu Aegis Network.

Technology is often overhyped in the short term and underhyped in the long term.

While the shift to programmatic has been slower than some have thought, the impact to the underlying craft of media planning is even more profound than many could have imagined.

As media consumption moved online, a whole new world of data opened up, enabling marketers to understand consumers beyond whatever media they favored. This allowed us to think about and reach audiences in an entirely new way – making traditional media planning a thing of the past.

The revolutionary cross tab

Twenty-five years ago, desktop PCs transformed how brands went to market – a revolution led by the humble cross tab. Any media planner with access to Simmons or MRI software could quickly and easily produce indices of the type of media programming consumed by their target audience. Back then, target audiences were not much more tightly defined beyond age and gender. Simple cross tabulation allowed armies of media planners to sift through the growing array of cable TV channels and magazine titles to find the exact right mix of media.


That analysis combined with extrapolated reach accumulation studies were the foundation of modern media planning. The outcome directed billions of marketing dollars to support diverse media voices that drove American culture.

Fundamentally, the craft of media planning was the study of media consumption. We worked backward from understanding the media consumed to understanding consumers themselves. It was through content choices that we derived the necessary clues for influencing people. Because ad insertion was static, by understanding who consumed a particular media property – with allowances for a tremendous amount of untargeted “waste” impressions – we could devise schedules that created effective reach and frequency against the subset of people we actually cared about. Young media planners spent hours with reps from media properties and commissioned millions of dollars of research to really understand the role of a particular media property in a person’s life.

This was the craft of media planning.

Then the media world went digital.

Digital “pages” were rendered dynamically, allowing ads to be inserted to discrete audience subsets. Then we started cookie-ing, authenticating and building vast user profiles that pull in data beyond media consumption. We now understand people independent of their media choices, not through them.

The way brands go to market now requires audience planning.

A different beast

Audience planning is different than media planning in the following ways:

  • Populations are defined by distinct commercial activities, not by demographic proxies.
  • Media consumption is just one “signal” that lives alongside other signals such as geolocation, observable behaviors, search queries, mood, etc. All of this gets rolled up, look-alike modeled and matched against the ability to purchase ad impressions against those audiences exclusively.
  • There is no untargeted spill. You are either in the addressable audience pool or not exposed.
  • Content is optimized for stages in the user journey, not contextual environment.
  • Creative wear out is replaced with custom sequencing.

As an industry we are just starting to really come to grips with this change. What we know now is that successful audience planners:

  • Do work upfront to imagine and source data signals that qualify audiences along the intended journey.
  • Insure messages are sequenced as a person enters a new stage of the journey.
  • Understand that audience segments are dynamic and learn from observed campaign results.
  • String together personalized content beyond advertising.

Their competitive advantage comes from access to unique data and the ability to cover the full-market opportunity through higher match rates. They can quickly model what audience attributes are really driving success. Audience planners also have the underlying ability to execute what is drawn on a white board.

Audience planning creates demand whereas growth marketing simply harvests demand. However, the quants who came up through growth marketing have a leg up on the empaths who came up through agency media departments. The entire exercise is far more analytical and modeled than the simple cross tab.

Collateral damage

The unintended consequence of audience planning has been the devaluation of premium contextual environments. Expensive-to-produce content cannot command a premium when other media environments reach the same people.

There are significant concerns about the erosion of the revenue model for free, ad-supported content. The rise of brand studios and 360-degree sponsorships show how premium content producers are innovating beyond the intrusive ad model, which never allowed brands to take advantage of the contextual environment. For scaled ad stock, publishers now monetize based on match rate vs. subjective quality of their editorial environment.

As a result, just about every single media planning and selling job from 25 years ago is now obsolete. Audience planning ate media planning.

Follow Dentsu Aegis Network (@dentsuaegis) and AdExchanger (@adexchanger) on Twitter.

2 Comments

  1. Jack klues

    Brian is simply wrong about dismissing context.Understanding what people ( Target) are interested in , entertained by, and value by giving of their time, must be be understood and applied in planning process . Without it, ads can, and will be, considered as rude interuptions that can be even more easily avoided/ ignored than ever before.

    How people act , including media preferences, can be far more useful than rich demographics or product consumption.

    Reply
  2. An important step in data driven marketing is to verify that people in the audience truly meet the intended audience definition. Having a benchmark KPI or data score lets planners continually evaluate the quality of their audiences and fine tune as needed.

    Reply

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