Authored by Stefan Pollack, President, The Pollack Group in Los Angeles, California, United States
Personas were built for a slower world. In 2027, the brands that win will treat audience knowledge as a living hypothesis and test it continuously.
Not long ago, my agency finished second in an RFP. We had proposed about 60 days of audience research and messaging development before launching the campaign. The winning agency was ready to move faster, and the client chose speed.
Three months later, that client came back to us. A media headline had landed in a way that felt completely disconnected from how the organization wanted to be perceived. Speed had felt like the smart choice, but it skipped the one step that would have caught the problem. I think about that story often, because in 2027 the cost of that mistake is going up while the cost of avoiding it is coming down.
Personas Are Not Scripture
Most brands still rely on audience personas built for a different time. Those exercises had value, but too often they become static artifacts, filed away and left unchallenged as the world moves on.
A persona is not a fact; it is a hypothesis, a provisional model of who your audience is, what they value, and how they choose. Every persona has an expiration date and must evolve as new evidence emerges. Audiences are in motion. The 2026 USC Annenberg Global Communication Report found that 92% of communications professionals expect polarization to persist. Any persona that overlooks this reality is already outdated.
The Cracker Barrel logo refresh is a case study in what happens when internal momentum outpaces audience expectation. Legacy brands should not resist evolution, but they must first understand what their customers truly value before deciding what to change and what to preserve.
From “Who Is This Person?” to “What Would They Do Now?”
Brands that truly know their audiences recognize that behavior is always contextual. A static persona cannot predict how your audience will respond when inflation tightens wallets, when a social flashpoint erupts, or when a competitor rewrites the rules of the category.
The real question is not “Who is this person?” but “How does this person think and act right now, in this context?” That answer only comes from stress-testing assumptions against real-world dynamics. Scenario planning must become a standing discipline, not a last-minute scramble after the fact.
My Prediction: Audience Research Goes Continuous
Research has long been one of the costliest elements of strategic planning. Traditional focus groups can run $30,000 to $80,000 and only capture a narrow slice of opinion at a single point in time. It is no wonder many organizations have treated research as an occasional luxury, or skipped it altogether.
AI is rewriting that equation. In 2027, audience research will move from a periodic event to a continuous discipline. Teams can now test names, messages, positioning, and campaign concepts against dynamic, scenario-aware audiences before launch. Unlike traditional sessions, this research can be revisited as new questions arise, new objections surface, or new segments become relevant.
This is practical and fast. Most founders test names by polling friends or trusting their gut, and neither gives them an honest read. Structured research against scenario-aware AI audience personas, especially persons who aren’t already in your corner, catches confusion early, when fixing it is cheap. AI does not replace human judgment; it empowers organizations to ask sharper questions sooner and validate assumptions before resources are committed.
The Discipline That Makes It Work
Faster research only creates value when used with intellectual honesty. Research that simply confirms what you already want to believe is of little use. The objective is to surface weaknesses while there is still time to address them. Three habits distinguish organizations that benefit from those that do not:
- Retest on a schedule. Build a regular cadence for challenging your core audience assumptions, rather than waiting for a crisis to force a rethink.
- Invite the skeptics. Bring in audiences who may push back on your message and treat negative reactions with the same seriousness as positive feedback.
- Test before you spend. Put messages and concepts through research before building the campaign, not after the story breaks.
The Machines Have an Audience Too
Understanding what people believe about your brand is only half the equation. AI platforms now influence how audiences discover and evaluate brands, and their outputs often diverge from traditional media narratives.
During the 2026 World Cup, FIFA introduced sponsor-free stadium names. Earned media used the official tournament name alone in roughly 26% of mentions. AI did so just 2.6% of the time. Different audiences gave different answers about the same subject.
That is why audience intelligence and AI visibility are converging into a single, continuous measurement discipline. Brands must understand both what their human audiences believe and what machines signal to them, then close the gaps with credible, consistent content.
Test Earlier, Not Louder
If that client had invested 60 days in understanding its audience, it would have sidestepped an expensive correction. Instead, it learned the same lesson three months later, at a far greater cost.
In 2027, the brands that win will not be those who guess best, but those who test earliest and never stop testing. Tools like our own Audience IQ make this discipline faster and more accessible than ever, but mindset matters more than technology. Your audience is a moving target; keep tracking where it is, not where it was.
