Date: September 9, 2026 | 12 p.m. ET | Free
Presenter: Rhys Hillian, Researcher, Conveo
Duration: 1 hour
Households are under affordability pressure, and it is quietly rewiring what they cut, protect, defer, and trade up on across every category. This webinar shows how continuous qual at quant scales (across 6 countries) reads that shift as it happens: not just what people are switching between premium, mid-tier, and private label, but why they make those trade-offs and which named brands are gaining, losing, or holding their pricing power. Using a live cross-category affordability program as the worked example, we will show how consumer brands turn budget pressure into an early-warning advantage instead of a quarterly post-mortem.
Outcomes:
- How AI-led conversations with real people catch households cutting, deferring, and trading down before it hits your sales data.
- How AI-moderated video interviews surface the why behind each trade-off, and how premium tolerance differs by market.
- How wave-on-wave learning sharpens your affordability view each quarter: spending sentiment, wallet behavior, and who holds pricing power.
All registrants will receive a link to the recorded webinar video, so you can view it later if more convenient.
Rhys Hillian is a Researcher at Conveo who sits in the Marketing team, where he designs the studies that show what AI-led qualitative research can really do. From Super Bowl ad testing with real viewers to large-scale global brand studies, his work pushes beyond what traditional qual has been able to deliver. Before Conveo, he was Research Manager at Ballpark, a UX, product, and design research SaaS platform, and earlier at Appinio and Zappi. His career has always sat where research meets software, so his perspective is less about agency versus in-house and more about how the best teams use technology to democratise research while keeping rigour intact at scale.Rhys writes about how AI is changing qualitative in practice: where video uncovers what surveys miss, why the gap between what people say and what they do matters more than most teams realise, and how insights leaders can turn richer data into sharper decisions.