The five experience decisions that matter most in animal health

Animal health has one of the most diverse customer groups in healthcare. Depending on the product or service, organisations may be engaging veterinary surgeons, nurses, practice managers, livestock producers, distributors or pet owners. Each has different goals, pressures and expectations of digital experiences.

It’s easy to assume these groups want broadly the same things. They don’t.

A veterinary surgeon looking for clinical evidence before a consultation has very different needs from a practice manager comparing suppliers or a livestock producer looking for practical guidance in the field.

Effective digital experiences begin with understanding those differences. Customer research, journey mapping and behavioural insight help organisations understand what people are trying to achieve before decisions are made about content, channels or technology.

Animal health organisations often manage websites, email programmes, customer portals, events and field activity through separate teams, systems and objectives. But customers don’t experience them that way.

A veterinary professional might discover a resource through an email, search for further information on a website and then speak to a representative. They expect each interaction to reflect what has already happened and help them move forward. When channels are planned in isolation, customers are left to connect the journey themselves. They repeat information, encounter inconsistent messages or reach points where the next step is unclear.

A better approach starts with the journey. What is the customer trying to achieve? What information or support do they need at each stage? Which interactions should be self-service, and where would contact with a person create more value?

Answering those questions makes it easier to give every channel a clear purpose and create a more coherent experience.

Every digital experience asks something of its users.

Time. Attention. Effort.

If customers have to search across multiple websites, remember different logins or navigate confusing interfaces to complete a straightforward task, they’re unlikely to return unless they have no alternative. Many organisations measure whether customers visit a website or open an email. Far fewer understand how easy it was for those customers to achieve what they came to do.

Usability testing and experience evaluation often reveal small frustrations with a disproportionate effect on engagement. A poorly labelled link, an unnecessary registration step or content organised around internal structures can be enough to interrupt a journey.  Removing those barriers helps customers get more value from the experience while asking less of them in return.

AI is changing how people discover and consume information.  Veterinary professionals are beginning to use AI alongside traditional search. Marketing teams are exploring it to create content more efficiently, support customer service and improve personalisation. The important question is where it can make the experience better.

Can it help customers find relevant information more quickly? Can it reduce administrative effort? Can it make complex information easier to navigate or understand? These are credible uses because they begin with a customer need.

AI can help organisations improve efficiency and consistency, but it also amplifies what is already there. Applying it to unclear content, fragmented systems or poorly understood customer journeys risks making existing problems move faster. Clear intent, sound judgement and a strong understanding of the customer still need to come first.

Most organisations have no shortage of data. Website analytics, email performance, customer relationship management systems and sales data all provide useful signals about customer behaviour. The challenge is understanding what those behaviours mean.

Analytics can tell you where customers leave a journey, but it can’t always explain why. High engagement doesn’t necessarily indicate a useful experience, just as low engagement doesn’t always mean something has failed.

The strongest decisions combine behavioural data with direct customer insight. Quantitative evidence helps identify patterns. Qualitative research explains the needs, motivations and barriers behind them. Together, they help teams move beyond reporting activity and make more confident decisions about what should be improved, prioritised or stopped.

Every digital decision influences the experience that follows. Animal health organisations that make those decisions with a clear understanding of customer needs will be better placed to earn trust, attention and long-term customer value.