What Everyday AI Innovation Looks Like: Resonance Read
The past year has been filled with bold claims about how AI will transform everything. But in practice, pharma teams don’t need moonshots — they need tools that make everyday decisions sharper, faster, and more grounded in reality.
That’s the thinking behind Resonance Read. It’s not a “game-changing platform.” It’s a simple, practical way to bring the latest in generative AI into the day-to-day work of building and refining pharma communications.
Practical AI, Applied to Real Pharma Challenges
Resonance Read uses persona-driven AI simulations, powered by our proprietary behavioral intelligence datasets, to quickly benchmark how messages, creative ideas, and positioning are likely to land with different audiences — patients, HCPs, payers, and beyond.
It blends:
- Generative AI techniques that simulate audience perspectives
- Proprietary Syneos datasets— including the Mindset Engine, which reveals how HCPs make decisions, and the Empathy Engine, which uncovers the emotional and behavioral drivers influencing consumer choices, developed as standard operating procedure to elevate our work
- A repeatable process, so teams can use it whenever the market shifts
The result: not magic, but method. A reliable way to stress-test ideas before they go out the door.
Why It Matters
Unlike tools built on third-party platforms or generic datasets, it draws on real-world audience data, proprietary insights, public signals, and behavioral science to deliver a more accurate, predictive view of stakeholder response. With Resonance Read, pharma teams can:
- Refine messaging before launch and reduce costly missteps
- Adapt quickly when new competitors enter or regulatory milestones shift the landscape
- See both the “what” and the “why” — qualitative insight into resonance paired with quantitative scoring
It’s not about predicting the future with absolute certainty. It’s about adding rigor, speed, and confidence to everyday decisions.
Everyday Innovation as a Discipline
We see Resonance Read less as a product launch and more as a working example of everyday innovation — taking the newest AI capabilities, integrating them with proprietary intelligence, and making them usable inside the messy realities of pharma marketing.
AI won’t replace creativity, strategy, or experience. But applied with the right data and discipline, it can make the work smarter. Resonance Read shows what that looks like.