Innovation can be defined as ‘the production of something original and useful in order to create value for society, business or both’. In line with many of the other great society changing landmarks that have occurred in our age of technology, such as the birth of television, the creation of digital music or the evolution of the mobile phone, we can find an intersection of how technology and a human need collide—which fosters the innovation.
One of the most common examples of human demand which has now been extrapolated in the internet digital era is the need to ‘access information’. But we are becoming lazier in our ever increasing busier lives, and looking it up in a book like when I was a kid is pretty obsolete. Humans tolerate less delay these days; we want it NOW, instantly and requiring limited effort. Chatbots and artificial intelligence (AI) are innovations which are already changing and will continue to change, allowing humans easier access to information through advanced AI platforms.
Messaging continues to dominate
That’s great and all, I hear you say, but isn’t it just another passing phase? Why is it important? Why should you care? Isn’t it just another ‘channel’ of info? In the last couple of years messaging platforms (FB Messenger, Snapchat, WhatsApp etc.) have surpassed the big four social media network channels in terms of size of audience, and clearly this is one of the main reasons that the Googles, Microsofts and Facebooks of this world are sinking billions of dollars into developing their offerings in this space. Now, stop and think about that for a second, and what an impact the current social platforms have had on society and the way we engage with each other today; that’s a pretty big deal, and now there is something that’s bigger!! With audience adoption of these messaging apps being so pervasive, it would make sense if you’re a digital business that’s interested in reach of any sort for this to be part of your channel strategy mix. The pharma industry needs to start aligning with the new consumer on-demand mindset that has been set by online businesses such as Netflix and Amazon. However, don’t include new technology just for the sake of being able to say you are doing it; you still need to put user needs at the centre and make sure you’re creating something that is relevant, valuable and useful to users. Otherwise, don’t bother.
Technology in this space has progressed leaps and bounds in the last few years. The rate of machine learning evolves quickly and this technology will only continue to get smarter, faster, more relevant and human-like in its operation. Working in the pharma sector, we know that traditionally this industry as a whole is somewhat of a laggard against more ‘innovation’ leading industry sectors. I think many understand where these blending of human and machine interactions can create immediate efficiencies, convenience and customer experience, so there certainly is an appetite for it. Healthcare is predicted to benefit greatly from this technology evolution and in an increasingly patient/customer-centric world, one of the questions we are constantly asked by our clients is ‘How do I use this for my customers and in my pharma company?’.
Doing it for pharma
For all pharma organisations, naturally, control and risk mitigation are important factors. The thought of relying on an accurate Siri response to a customer’s question is enough to scare the life out of the typical pharma marketer, or at least elicit cries of ‘code breach!’. However, chatbots can actually be deemed a safe, secure channel, as they can (platform choice dependent) act in a one-to-one environment with customers, rather than social media’s typical one-to-many configuration. Part of the challenge of implementing innovation in a regulated market is about tackling the ‘folklore’ head on and also following successful examples set by your competitors. There are usually ways around these barriers, though, and it doesn’t have to start with anything overly complicated to set your own company precedent for these activities.
At Nitro Digital, we have found there are three typical approaches which pharma can take when addressing chatbots; which of these is the right choice for you really depends on the nature and objectives of your business:
- LINEAR MODEL
This operates a curated and controlled experience, with predetermined answers and scripts defined and approved for use. It it limited in scope but is currently a model which pharma marketers favour as they begin to explore this space.
- INTELLIGENCE MODEL
This model is machine learning driven, and it works by delivering natural language responses to questions and queries through learnt behaviour. This can, however, be unpredictable and its level of sophistication currently will still cause concerns as to the degree of control that can be kept.
- HYBRID MODEL
The third option is a mix of the previous two. It allows for the gathering of insights and builds on the knowledge base which customer interactions can offer by capturing these queries and storing them. This way, we prepare for the technology advancement in the platform without losing any of the rich learnings, which is something that pharma will typically do before jumping in. It is a more risk cautious method of approaching chatbots: whilst you are offering a curated experience, you are also building the datasets of learning to apply to your development at a later date.
Of course, there are still challenges for the industry, like obtaining content approvals, ensuring the Fair Balance Act is upheld, observing privacy laws, etc., but these are obstacles with workarounds rather than showstoppers. However, as we have advised many eager and ambitious clients wanting to be the first to bring chatbots into their organisations—’Let’s not do this just for sake of doing it’—we still need to fill a user need, and it is still an activity which requires a commitment and needs ongoing maintenance and improvement.
‘But isn’t machine learning really difficult and expensive to do?’ you may ask. The truth is that creating a successful automation bot is more of a user experience (UX) challenge than one of technology complexity. And in that respect, it should be approached like any other social or digital activity. Think about the goals you want to achieve; what is the problem you are solving for your users; what is in it for them; what could be automated; what efficiencies can you make; what risk mitigation could this help with; is this something that will deliver cost saving: are all good questions to ask yourself. Start simple, learn, test and evolve the process.
It’s evident that chatbots are another great technology which can help deliver value within digital marketing—and especially so for pharma and healthcare brands looking for a shortcut to offer value and information to their customers. Examples of instances where chatbots can provide value and enhanced patient care are doctor discussion guides, benefits verification support, medication and refill reminders and overall customer support and content delivery that the user can access whenever they want, 24/7, personalised for their needs. Artificial intelligence has advanced greatly in the last few years, so anyone with some coding smarts can do this, and, in addition, there are already lots of platforms and tools to leverage. Nitro has a 40+ strong team of keen software developers looking to experiment with this tech to solve problems for you.
So, start thinking about this now as this needs to be part of your digital strategy, not a bolt-on, nice-to-have afterthought. And you need to be thinking about this now for 2018, not 2020, as by then the market will be saturated and you’ll have missed the robo-party. You can read more about how chatbots can benefit your marketing strategy in general here.
For any help exploring this area, please get in touch with us directly at www.nitro-digital.com/chatbots, we would love to hear from you.