Customer Experience & Marketing
Specialists in building loyalty, shaping brand perception, and turning customer relationships into competitive advantage
Speakers Associates represents 260 speakers on Customer Experience & Marketing, including Arnt Eriksen, Peter Fisk, Mark Ritson, Purna Virji, Tom Goodwin, Kayleigh Fazan, Blake Morgan, Marc Saltzman, Liv Marks and Chris Endersby.
Most organisations talk about inclusion in language their disabled employees and customers do not recognise. Policies exist; lived access does not. The gap between what an accessibility statement promises and what a wheelchair user actually encounters at the door, in the meeting room, on the flight, is where reputational risk and human cost both sit.
Most organisations are built to sell products that already exist to customers who already know they want them. The harder problem is the one a new category faces: persuading high-trust, high-net-worth customers to commit money, time and reputation to something that has never been done, and to keep them engaged through repeated delay, regulatory change and public scrutiny. Few commercial leaders have run that problem end to end.
Customers do not behave the way product, marketing and strategy decks assume they will. They misread information, default to inertia, and disengage at exactly the moments organisations most need them to act. Closing that gap between what behaviour the business model requires and what cognition actually delivers is the work.
Sustainability strategy has stopped being a differentiator and started attracting scepticism. Boards and brand teams are caught between consumers who can sniff out greenwashing in a single social post and investors who want substance behind the ESG narrative. The question is no longer whether to commit, but how to prove the commitment is real to people who have stopped taking the claim at face value.
Running an institution through a structural reinvention rarely fails because the strategy is wrong. It fails because the operating model, the people, and the brand cannot move in step. Senior leaders need a credible account of what it actually takes to hold a large business together while changing what it does.
Most enterprises now have an AI strategy on paper and very little of it in production. The board wants returns, the engineering organisation is still rewriting pilots, and personalisation, agents and generative AI are stuck behind unresolved questions on data, privacy and operating model. The gap between AI ambition and AI in revenue is now the defining technology problem of the cycle.
Most established brands lose share not because a competitor invented something new, but because the incumbent had no plan for the attack when it came. Marketing teams are trained to launch and build; very few are trained to defend a position, protect a price corridor or hold a category against a credible challenger. The cost of that gap shows up in lost margin years before it shows up in lost revenue.
Sales and revenue teams are being asked to apply AI without a clear theory of what it is for. Pilots accumulate, dashboards multiply, and the pipeline still depends on the same human effort it always did. The harder question is what a commercial organisation actually looks like when autonomous agents do the work that headcount used to do.
Most enterprises have run AI pilots. Far fewer have moved AI into the operating fabric of how decisions are made, deals get done, and software gets bought. The gap is not technology. It is a leadership problem about which workflows to redesign, which vendors actually deliver, and how to read the buyer signals coming back through the data.
Most large organisations cannot reach the under-30 buyer with the brand machinery they already own. Internal marketing teams are structured for paid media, not for creators, and senior leaders rarely have a credible read on how Gen Z actually decides what to buy, work for, or trust. The result is real revenue exposure dressed up as a content problem.
Most large organisations have built AI proofs of concept, signed cloud contracts, and stood up data teams, yet still cannot point to a measurable change in how decisions are made or where margin is captured. The harder question is which digital capabilities, deployed in which sequence, actually shift competitive position. Buyers want a clear read on where the evidence supports investment and where the hype outruns the data.