The Next Task in the Outcomes Era Is Differentiation
Disclosure: Several of the companies mentioned below are Sharp Pen clients, and we crafted the narratives I analyze.
Many companies have taken up the rallying cry of the Outcomes Era: drive measurable outcomes. The question now is how.
I see this, intermingling with the AI wave, as the next major phase of adtech messaging. If everyone is talking about outcomes, the way you win the RFP becomes: How do you drive outcomes more effectively? How are you uniquely positioned to do it?
And if everyone is talking about AI, especially agentic workflows, as the mechanism, the question sharpens further: How are you uniquely using AI to drive outcomes? What’s your distinct take on the AI-driven Outcomes Era?
That’s where the conversation shifts from outcomes as a universal claim to true differentiation.
3 examples of differentiated AI x outcomes brand narratives
If you’re Shopsense, it’s about driving better outcomes for media companies and creators by reaching shoppers in the moment of inspiration while they’re consuming content adjacent to an advertised product.
That requires agents to interpret content at the frame, image, and text level in near-real time and surface relevant products seamlessly in those moments. Shopsense’s focus on making premium media shoppable across environments, effectively unleashing agentic commerce across the open internet, is a differentiated take on AI and outcomes: use AI agents to drive better outcomes in the moment of inspiration anywhere it happens.
If you’re Transmit, it’s about leveraging Moment AI to detect the precise moment an ad should appear in a live sports broadcast, selecting the right format or creative, and inserting it seamlessly without compromising the viewer experience.
That creates more monetizable opportunities for publishers and more contextually relevant engagement for advertisers, especially in live sports, one of the last remaining monocultural environments in media. It’s a clear answer to the question of how to apply AI to drive better advertising outcomes in CTV for both advertisers and publishers.
If you’re Audion, the story is about bringing outcomes-based performance to digital audio, a channel that has historically been under-monetized and under-measured.
Audion’s narrative centers on transforming audio into a true performance channel by applying data, targeting, and measurement in ways that mirror what happened in CTV with the performance TV phenomenon. In other words: taking a high-attention but under-optimized medium and unlocking its potential through AI-driven outcomes.
Be specific, timely, and ambitious
In all three cases, AI and outcomes converge in a specific domain (shoppable content, live sports, audio) to drive performance for advertisers.
These companies are telling specific stories about why they are uniquely positioned to win in the AI-driven Outcomes Era, and there are structural reasons these narratives resonate right now.
Agentic commerce is poised to take off inside walled gardens and emerging AI platforms. Shopsense extends that model into the open internet, particularly for creators, a fast-growing and underserved segment, and for publishers who stand to benefit from new monetization pathways.
Live sports remains one of the only forms of media outside the walled gardens with growing value and truly monocultural reach. Maximizing monetization while protecting the viewer experience is critical for publishers paying billions for rights, and that’s exactly where Transmit operates.
Audio, meanwhile, is an underinvested channel that looks a lot like CTV did a few years ago. Performance TV has now been validated at scale, most recently by Pinterest’s acquisition of tvScientific. Audio’s path is similar: If it can perform, it can scale. What makes that increasingly credible is the way AI is being applied to the channel, from in-flight optimization to more adaptive creative based on context and audience signals. Audion is building toward that future.
In every case, these companies are operating at the intersection of AI and outcomes, but in a way that is specific, differentiated, and narrative-driven. If your website says some version of “we drive outcomes,” you’re not saying anything. That’s table stakes.
The companies that succeed will be the ones that explain — clearly and repeatedly — how they drive outcomes differently, and why they’re uniquely positioned to lead in the AI-driven future of advertising. Your peers are already doing it. Now, your business depends on it.
