Customer Experience & Marketing
Specialists in building loyalty, shaping brand perception, and turning customer relationships into competitive advantage
Categories that touch women’s health, hormones, or stigmatised physiology have been chronically underbuilt. Consumer brands and digital health teams keep underestimating the commercial opportunity in markets they personally find awkward to discuss. Building credibly in those spaces requires a founder who has done both: scaled a brand business and raised capital around physiology most boardrooms still avoid.
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.
Most marketing teams now have more data, more channels, and more technology than at any previous point. Customer engagement keeps falling flat. The same is true inside organisations: ideas that survive the brainstorm rarely survive the journey to launch. The problem is not investment or capability – it is the cultural conditions that determine whether creative thinking reaches customers at all.
Most customer experience programmes fail at the line where they meet a real employee on a real shift. Training decks describe a service philosophy that frontline teams cannot operationalise, and the gap between brand promise and delivered moment becomes the thing customers actually remember. The problem is rarely strategy. It is craft: how a person standing in front of a guest, member or caller produces a moment that feels designed rather than transactional.
Complex B2B deals stall because buyers cannot process the information they already have. More content, more stakeholders and more options make consensus harder, not easier, and conventional relationship selling has stopped clearing the path. The question for commercial leaders is what their sales and marketing function has to do differently when the constraint is no longer access to the buyer, but the buyer’s ability to decide.
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.
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.
AI is raising the floor for every company at once. The same models, the same speed, the same outputs are now available to every competitor in a category. The danger is no longer falling behind on adoption. It is spending heavily to arrive at the same place as everyone else, faster but indistinguishable.
Younger consumers and workers no longer accept the trade-offs older marketing playbooks were built on. They expect brands to take a position, deliver on it, and prove it in the product, not in a campaign. Most commercial and brand teams are still reaching them with research that is one cohort behind the cultural reality.
Marketing budgets are under sharper scrutiny than at any point in a decade, and the old assumptions about how brands earn attention have stopped holding. AI has reset what creative, media and customer experience teams are expected to produce, and most organisations are still reasoning about it as a tool rather than a structural change to how brands compete. The commercial question is which parts of the marketing operation get rebuilt around AI, and which parts get protected because they still depend on human judgement.
Most B2B companies spend marketing budget on long-payback brand activity while their pipeline is starving. Programs that could close revenue inside a quarter, search, retargeting, account-based outreach, customer expansion, are run lightly or not at all. The tension is sequencing: growth-stage leaders need a defensible order of operations that funds the brand work the CFO wants from the demand work the sales team needs.
Most brands have audiences they do not own and emotional equity they cannot monetise. The platforms sit in the middle, the data sits with someone else, and the relationship with the customer is rented rather than built. Turning fan affinity into a direct revenue line, at scale, is one of the harder commercial problems any consumer-facing organisation now faces.