Aug

Marketers: You Need to Keep Evolving

It’s clear that marketing has drastically changed in the last decade. The rise of digital, accompanied by its ever-evolving technologies in mobile and advertising will build a perpetual environment of test and learn. As well, continuous emergence of audience platforms will create a nomadic culture that follows the fickle consumer paths. Ultimately, this will dictate the sustainability of platforms.

Marketing has been one organizational function that has succumb to tremendous pressure to evolve in the last decade. It’s turned both ad agencies and companies on their ears, furiously attempting to learn and adapt, while desperately hanging on to what they already know.

Perhaps it’s time to let go. If there ever was a time to accept change it’s now. In my personal experience, and from what you’ll read,

- I’ve witnessed an incredible evolution in the digital space by way of technology and targeting,

- I’ve also witnessed rapid changes in consumer consumption and the increasing fragmentation of media,

- Adapting and learning has been integral in helping me evolve with the market demand.

Consumers have changed the game for marketers.

No longer do we have only a few mediums for content consumption. In as little as 2 decades we’ve moved beyond just TV, radio, print, billboards. We’ve also raced beyond the standard network channels, the key national newspapers.

As consumers our attention has moved to sites that speak to our own areas of interest. They may not necessarily be as popular or as known. Our peers greatly influence what we do and where we go. But, our ever trusted smart phones gives us access to inform us about the things we want, when we want them and where we want them.

This always-on economy is not about to die down. The growing consumer expectations will mandate companies to have greater visibility into where their customers are, what they’re saying, their preferences, their preferred channels and modes of communication. The growing pressure to keep the “owned” and “earned” channels “on” will challenge the business to become much more responsive than ever before.

Marketers are slowly becoming obsolete.

As marketers, our roles have been forced to evolve. It hasn’t been easy. Coupled with this consumer evolution we’re witnessing, the economic times have changed the way we operate. No longer is marketing a cost centre. We are now more accountable than ever. The old performance measures which we were accustomed to need to change. We need to evolve beyond the mindset of traditional mediums, and embrace the inherent benefits of digital and where it’s going.

Becoming obsolete is a reality in today’s fast-moving environment. Yes, today’s marketer needs to leave their comfort zone and venture into an environment that does not seems to want to sit still. Luckily, it doesn’t necessarily mean abandoning the principles they’ve learned along the way. It just means evolving their thinking and applying these same principles to the new mediums.

1. Data is the new norm: The promise of big data brings with it enormous benefits that can now inform customer preferences, propensities; identify relevant prospects in real-time; distill meaning from reams of information where it impacts competitive or brand reputation. The opportunities to target more granularly beyond just “company”-collected transactions provides profound instances to find the right customer, at the right time, in the right channels, with the right message. The need for strong data analysts to compile this information across multiple platforms and mediums will be an essential component to effectively target for acquisition; improve retention rates and optimize for real-time performance.

2. Agility is imperative: Gone are the days of relying on historical data. These days, any data point longer than 30 days is too old and therefore, irrelevant. Gone are the days when media plans or strategies are “baked”. No longer are we required (or should we be required) to sit and wait for results. With data becoming more embedded in our daily work, marketers must work towards a more agile environment: This means becoming more data responsive to an increasingly  fragmented and splintered market,  having the structures and processes to change tactics on the fly.

3. Value is the new currency: One of the hardest lessons for marketers to have learned was to refrain from leading with overt company or product messages. “Leading with value” has become a difficult principle to adopt, after years of “me-me-me” communications. Declining performance of digital ad units means marketers must rethink content from the position of the customer. The rise of editorial as an essential function within marketing will be necessary to instil this new discipline.

4. Customer convergence has arrived: All mediums are converging. Appointment TV is dead. The customer dictates the content they want to consume, across multiple mediums, the times they want it.  On-demand mediums will challenge the marketer as consumers move swiftly between tablets to smartphone to television. The new ways of targeting customers across multiple-platforms now allows the marketer more long-tail opportunities that will augment and support traditional mass targeting.

5. Customer experience mandates an always-on presence: A more informed customer expects consumers today an optimal experience that “allows them to shop and receive their purchases where they want, when they want and how they want.” This means providing the ‘continuous experience’ across brands, devices and format: mobile internet devices, computers, brick-and-mortar, television, radio, direct mail, catalog etc. Today’s marketer is channel-agnostic and is aware of sites, platforms and channels the customer is researching, eliciting recommendations, price-comparing and ultimately, buying.

6. Sustainability, not campaigns: The value of social media as an open channel two-way conversations now provides brands with the ability to not only build relationships, but benefit from the effort and commitment to nurture customer relationships through these channels. Word of Mouth and Advocacy are strong indicators of brands doing it right. The value of organic traffic that results from content value, social consistency and customer-commitment, will surpass the more costly campaign-driven ad-buys and promotions.

7. Social cannot be outsourced: Agencies will never be able to truly be able to build effective community management services. This function needs to live within the organization. Customer relationships with brands cannot be fostered via surrogate means, and then adopted into the organization. Only employees within the organization, with the proper knowledge and solutions, can effectively troubleshoot customer complaints and provide the right responses in the expected timeframe. An emerging discipline in community /customer relationship management will be critical to gauge the pulse of the community and to bridge the gap with the organization.

8. Context is key: Google has gone beyond just keyword and now tries to extract real meaning from what people search or speak about. Semantic algorithms go this one step further and now give marketers the tools to truly understand what people need and want. It’s here that will help predict and define areas the brand can connect and provide value to customers.

9. Customer-centric needs to be the standard: As digital grows up, the areas mentioned above will move companies to start to shift in ways that puts the needs of the customers at the centre of the organization. One-to-one marketing will a reality as data allows us to truly customize experiences for each customer. Retention will get increasingly harder as mediums and platforms rise and fall with the nomadic consumer and Facebook and Twitter become less standard platforms. Where pundits have prophesied the death of marketing, a more responsive, dynamic and collaborative organization will take its place.

10. A dynamic organization is a social organization: The result of these changes will inevitably move away from marketing and become embedded in all parts of the organization. A responsive, dynamic organization means that PR, HR, Product development, Inventory Management, Operations will need seamless communication channels to properly receive and disseminate information intra and outside the company to stakeholders and customers. The future CMO, in my opinion, will become more operations-minded but will rely on the collective organization to function effectively.

Marketing is no longer a discipline with best practices and tried and true techniques. As long as technology exists, and media evolves, consumers will continue to find new ways to connect and consume information. What’s clear is that these days our traditional definition of longevity is short-lived. Not only does the marketer need to morph with the times, the organization does as well.

Interested in reading more? Check out our other blogs:

MAKING AI MAINSTREAM



We are experiencing a strong demand for conversational AI solutions. It is coming from every corner of the B2C market. It is growing by the day.

Conversational AI is becoming increasingly popular among the consumer facing business community. It is easy to see why - AI offers sales and customer service scalability and therefore is critical for the long-term success of a business.

Conversational AI solutions such as chatbots, voice bots, and virtual assistants provide much needed speed and efficiency, in an age where the rapid advancement of technology makes them virtually the only sustainable customer service solution.

Bu there is a catch - AI is complicated. Mainstream businesses do not have in house AI expertise. And it is not part of their business model to develop such expertise.

Today’s market offer several good conversational AI solutions, such as IBM Watson or Google DialogFlow. However, getting a business value out of them requires the very AI expertise that mainstream companies do not possess.

So what can be done?

Any AI solution should follow these three steps in order for the mainstream business community to fully benefit from it:

  1. Conversational AI should come as a service,
  2. The service should be available in natural language,
  3. The service should be fully personalized.  
 In the next several posts we will explore how the AI industry, including nmodes, is moving towards achieving these goals.
READ MORE

Artificial Intelligence Chat Is Evolving Faster Than IVR

                                                         

Although it doesn’t feel like all that long ago, way back in the 90s one of the most important factors to a call center’s success was the ability to route a customer to the right support agent with the IVR (Interactive Voice Response). Countless hours were spent identifying the most efficient call routing patterns and expert agent capabilities to ensure that your request reached the right person quickly. This technology is still widely used today and there are still teams in the largest companies programming IVR systems to accomplish pretty much the same goal.

As the standard for customer support evolved there have been many attempts to improve the function and the customer experience associated with IVRs to reduce hold times and provide more relevant support faster. Even today some companies will use their IVR system as a way to keep a customer on hold, rather than provide a solution, when agents are inundated with calls.

For those of us who’ve worked in the voice industry for some time, we’ve seen first-hand the attempts to accomplish a customer’s need before reaching an agent. First there was expert agent routing that delivered your call to the agent most qualified to help you. Then came advances in voice recognition, which today has evolved to be a very effective tool to increase containment rates and deflect calls from reaching a live agent. My two favorite examples of the power of voice recognition are Cox Communications and Capital One, two examples of great voice recognition and routing.

Our memory, however, is short. It wasn’t so long ago that we were all pulling our hair out punching digits into the phone or constantly repeating “agent”, “Agent”, “AGENT”, AGENT!!!!!”.

Whether it was a limit of computational power or the sheer cost of developing and implementing advanced call center technology, it took decades for phone systems to be able to front end the customer support process as efficiently as they do today. Thankfully we all survived to see it without boiling over from the hypertension usually associated with calling with a customer service department.

Bad customer experience is definitely not the case with Chat Artificial Intelligence (Chat AI). While we seem to hear about the shortcomings of Chat AI like the disconnected conversations and the robotic like responses, these experiences are usually the product of Chatbots with limited AI functionality or early stage deployments. The increases in both computational power and the massive advancements in machine learning are driving excellent customer experiences that improve over time.

When was the last time you heard of technology actually performing better, on its own, without a ton of additional development work or continuous updates? Well, that’s the case with Artificial Intelligence. Like a person, the more experience it has interacting with customers and information, the better it performs with little need to be manually improved or fine-tuned.

Today, AI Chat can be used to answer a large majority of customer requests and because Artificial Intelligence learns as it is used, customers prefer to interact through AI chat to avoid all of the frustrations commonly associated with calling a contact center agent. 

READ MORE