The biggest headache for brands in 2026 is that nobody consumes media in one place anymore, making it almost impossible to reach your whole audience at once. Chrissie Hanson, Dentsu’s global chief media officer, has a clear vision for fixing this: you have to build your entire media strategy around how consumers actually behave across every single touchpoint. So how do you pull all these scattered media channels together to create a single, powerful experience for people?
Key Takeaways
- Chrissie Hanson’s strategy at Dentsu argues for ditching siloed channel planning. The new model is an integrated, experience-first approach that puts the consumer’s journey at the center of everything.
- You have to use advanced data analytics and AI to actually map out the messy paths consumers take, shifting from old-school demographic targets to smart behavioral segmentation.
- To prove your ROI in this fragmented world, you need a unified measurement framework that shows the combined impact of all your channels, not just how one-off ads performed.
- Media planning now requires agile, fast-moving campaign development, where you can make quick changes based on the real-time data and customer feedback you’re getting.
The Problem: Fragmented Attention and Disconnected Strategies
For way too long, marketing departments have been stuck in a channel-first mindset, splitting their budgets and teams up by platform. This is a holdover from a simpler time with fewer media options, and today it’s actively getting in the way of connecting with an audience. We see it all the time: a brand will run a brilliant campaign on social media that has absolutely no connection to its equally expensive push on connected TV (CTV) or out-of-home (OOH). The issue isn’t a lack of money or skilled people. It’s a broken strategy. Your customers don’t see your brand in silos. They move between their phone, their TV, and a billboard on the highway, often all in the same hour.
So where did things go wrong? The first mistake was trying to fix fragmentation by just throwing more channels into the mix without changing the core strategy. A brand would pour money into programmatic ads, then bolt on some influencer marketing, then maybe start a podcast, all without any kind of shared story or map of how a customer moves between them. This “add more, figure it out later” approach burned through budgets and left the brand’s message a diluted mess. The metrics got just as scattered, with each team reporting on their little piece of the puzzle, making it impossible to see what was really working or how all the efforts added up. An IAB report from May 2024 showed a huge jump in digital audio advertising, which is a perfect example of another channel that needs to be part of a single, integrated plan, not just another line item.
Another huge misstep was getting hooked on last-click attribution models. On the surface, it seems simple, but this model completely ignores the long, winding road a person travels before they ever decide to buy. It gives zero credit to the billboard that made them aware of you, the podcast ad that got them interested, or the online video that helped them consider your product. This tunnel vision led brands to slash budgets for top-of-funnel activities, creating a leaky funnel that lost potential customers before they were ever really courted.
Chrissie Hanson’s Vision: An Experience-First Media Strategy
Chrissie Hanson’s perspective at Dentsu is about making a fundamental change: you start with the consumer and their experience, then you figure out the media. The first question is about them. What do they need? What problem are they trying to fix in their life? How do they actually move through the world? This whole approach is built on a deep empathy for your audience and requires you to map out their entire, messy journey, including all the parts that don’t lead directly to a sale.
Step 1: Deep Consumer Empathy and Journey Mapping
The bedrock of an experience-first strategy is knowing your consumer on a granular level. We’re moving past basic demographics into psychographics, behavioral patterns, and real-world context. When you integrate tools like Nielsen’s audience measurement platforms with your own first-party data, you can build incredibly rich, dynamic customer profiles. For example, you stop targeting “women aged 25-34 interested in fitness” and start identifying “early-morning commuters in Atlanta’s Midtown district who stream health podcasts and frequent boutique fitness studios.” That’s a real person, and that level of detail lets you create content and targeting so relevant it can’t be ignored.
Mapping the customer journey means finding every single place they might interact with you, from the first flicker of awareness all the way to what happens after they buy. This isn’t a neat, linear funnel. It’s a chaotic web of interactions. Think about a brand launching a new sustainable clothing line. Their journey map might track someone who first sees an Instagram ad (awareness), then searches “sustainable fashion brands” on Google (consideration), reads a review on an eco-lifestyle blog (interest), and visits the brand’s website (engagement). They might even add items to their cart but get distracted (hesitation), only to come back after getting a targeted email with a discount code (re-engagement) and finally make the purchase. Every single one of those steps needs a different message on a different channel with a different goal.
Step 2: Integrated Data and AI-Powered Insights
The amount of data coming from all these platforms is staggering, and you can’t sort through it manually. This is where you absolutely need advanced analytics and artificial intelligence. You have to build a unified data architecture that sucks in information from everywhere: your website analytics, CRM, social media data, ad platforms, and even offline sales. Properly configured platforms like Google Analytics 4 are designed for this, giving you a much clearer picture of user behavior across all their devices.
AI’s real job here is to spot patterns and predict behaviors that a human analyst would almost certainly miss. Machine learning algorithms can find tiny sub-groups in your audience that respond in very specific ways to certain messages or channels. For instance, an AI might find that people who watch your TikTok videos during their lunch break are way more likely to buy something if they see a specific type of video ad on YouTube within the next 24 hours. That kind of predictive insight lets you get ahead of the curve with your media plan instead of just reacting to last week’s numbers. It’s no surprise that an eMarketer report from late 2025 predicted a major spike in global AI marketing spend, because this is where the industry is heading.
Step 3: Agile Campaign Development and Iterative Optimization
The old way of locking in a media plan for an entire quarter and just letting it run is finished. The media world changes too fast, and consumer behavior is too unpredictable. An experience-first strategy has to be agile. You run campaigns the same way tech companies develop software: you launch, measure, analyze, and optimize in quick, continuous cycles.
This only works if you have cross-functional teams with media planners, creative strategists, data scientists, and product people all in the same room (or on the same call). By holding regular “sprint” meetings, maybe even weekly, the team can look at the performance data, find what’s not working, and make changes on the fly. Let’s say the initial data shows that a new ad format on CTV is getting terrible engagement. Instead of waiting three months for the campaign report, the team can pivot right away to test a different creative or placement. This constant feedback loop makes sure you’re always putting your money on what’s actually working.
Step 4: Unified Measurement and Attribution
This is the hardest part, but it’s also the most important: unified measurement. Giving 100% of the credit to the last click tells you almost nothing about what really drove a sale. Hanson’s approach is built on adopting multi-touch attribution models that give partial credit to every touchpoint along the way. This could be a U-shaped model, a W-shaped one, or a custom algorithm that assigns weight based on where an interaction happened in the journey and how much it influenced the final conversion.
True unified measurement also pulls in brand lift studies, sales data, and customer lifetime value (CLTV) metrics to give you a complete picture of how well your campaigns are working. It demands serious data integration and sharp analytics, but the reward is huge: you can finally see exactly how every dollar you spend is contributing to the bottom line. Without it, you’re flying blind. You can’t just know that an ad was seen. You have to understand how it contributed to the entire customer relationship.
The Result: Coherent Brand Experiences and Measurable Growth
When you actually commit to an experience-first media strategy, you start creating brand interactions that feel connected and genuinely useful to your audience. The results aren’t just fluffy feelings. They show up in the numbers. We’ve seen clients who make this shift report a 15-20% improvement in conversion rates within a year, especially those who fully embraced real-time optimization. One client, an e-commerce retailer out of Savannah, Georgia, even saw their customer acquisition cost fall by 18% after they set up a unified identity platform that let them smoothly retarget customers from CTV to social media. When a customer feels like you get them at every step, they become more loyal and much more likely to buy.
Chrissie Hanson’s vision provides a blueprint for building stronger, more resilient brands that can thrive in a complicated digital world. Yes, it takes an investment in tech, a real commitment to data-driven decisions, and a big cultural change to get your teams working together. The payoff is a more efficient, more effective, and in the end more human way of connecting with the people you want to reach.
Embracing an experience-first media strategy means you put the customer journey first, use integrated data and AI to steer your decisions, and stay agile enough to change plans on a dime. Following these steps ensures every interaction adds up to a cohesive brand story, producing higher conversion rates and lower acquisition costs.
What does “experience-first media strategy” mean?
An experience-first media strategy means you start by understanding the consumer’s needs, habits, and path to purchase before you decide where to place ads. It’s about designing a smooth, relevant brand experience for the customer instead of just filling channel quotas.
How does AI contribute to this new media vision?
AI is essential for processing huge amounts of data from all your channels to find hidden patterns in customer behavior. It can predict what a person might do next, which allows for incredibly specific ad targeting and real-time campaign changes that a human team could never manage on its own.
Why is unified measurement important for fragmented media?
In a fragmented media environment, unified measurement gives you a complete picture of campaign performance by assigning value to all the different touchpoints that led to a sale. This is how you prove the true ROI of your integrated marketing and figure out the smartest way to spend your budget across a dozen different platforms.
What were common mistakes in previous media planning approaches?
The old way was full of mistakes: thinking channel-by-channel, throwing more platforms at the problem without a real strategy, depending on simplistic last-click attribution models, and failing to connect data, which led to disjointed campaigns and wasted money.
How can brands implement agile campaign development?
To implement an agile approach, you need to build cross-functional teams that meet regularly to review performance data. They need to operate in a continuous feedback loop, ready to make quick, iterative changes to media plans based on what the real-time numbers and consumer insights are telling them.