Customer Experience & Marketing speakers
Specialists in building loyalty, shaping brand perception, and turning customer relationships into competitive advantage
Speakers Associates represents 259 speakers on Customer Experience & Marketing, including Peter Fisk, Mark Ritson, Purna Virji, Tom Goodwin, Kayleigh Fazan, Arnt Eriksen, Blake Morgan, Marc Saltzman, Liv Marks and Chris Endersby.
Five generations now share offices, customer bases, and management lines. Each was shaped by a different economy, a different technology stack, and a different idea of what work is for. Leaders are being asked to engage all of them at once, and the old playbook assumes one workforce, not five.
Most service organisations can describe their customer promise on a slide. Far fewer can deliver it consistently through a tired team on a Tuesday night shift. The gap between brand standard and frontline reality is where loyalty, repeat custom and margin are quietly lost.
In most organisations, customer service has quietly been reduced to process. Trust has weakened in step. The harder problem is cultural: whether the business will let its frontline teams act the way its customer promises imply they will.
Short-term metrics now dominate marketing decisions. The channels easiest to measure – performance advertising, digital activation, last-click attribution – are typically the ones least effective at building pricing power and long-term profit. Organisations are optimising their way to brand decline while the data required to argue otherwise sits unused.
Brand and purpose claims have outrun the operating reality behind them. Customers, employees and regulators now test whether a stated purpose actually shapes pricing, supplier choice, product design and the way leaders behave under pressure. The work for senior teams is to make the brand promise legible inside the business, not just in the campaign.
Growth is getting harder in the markets most companies were built for. The instinct is to optimise what already works, sharpening the brand and pushing harder on the existing playbook. The more difficult question is what to build instead, and most leadership teams lack a shared framework for answering it.
Most large organisations have run the obvious growth plays already. Pricing power is eroding, products are being matched within months, and incremental improvement no longer moves the market. The harder question is where to place the next bet so customers, talent, and capital choose you without hesitation.
Most leadership teams are not short of AI commentary. They are short of conviction about what to do with it. The harder question is which signals warrant a budget shift this year and which are noise dressed up as strategy.
Brands lose meaning faster than they lose customers. Senior teams can see the slide in NPS and category share, but the cause sits in cultural shifts most internal teams are not equipped to read. Reading those shifts and translating them into pricing, product and positioning decisions is where most brand strategies fail.
In property, financial services and most consumer markets, the seller has professional representation and the buyer does not. That asymmetry creates trust deficits and structural opportunity for any business willing to switch sides. The harder question is how to build a profitable model around customer advocacy when the rest of the market is paid to look the other way.
Pricing power is eroding while procurement teams ask harder questions and clients are quicker to defect. Sales and account leaders know the answers cannot only be sharper discounts or more meetings. The unresolved tension is how to hold value, run conversations that decide deals, and keep customers loyal when every competitor sounds the same.
Most organisations are now running AI through their creative, design and brand functions without a clear view of what humans should still own and what machines should do. The result is output that looks generative but feels generic, and teams that cannot articulate where their craft adds value. The harder question, what creative judgement actually contributes once the machine can produce a draft, rarely gets answered.