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:

WHAT IS AI TRAINING



AI training is a critical part of conversational AI solutions, a part that makes AI software different from any kind of software previously created.
AI training is not coding.
Unlike all other existing software which is fully coded.

Let us consider a simple example:
We create chatbots for two companies, one company is selling shoes, another is selling cars. From the software standpoint it is one chatbot solution running as an online service accessed remotely or a program available locally. In both cases they are two identical instances of the same software (one instance for the shoes company, another for the cars company).
Yet, for the first company the chatbot is supposed to talk about flip-flops, summer shoes, high heels and so on. For the second company, however, the chatbot is not expected to know any of that. Instead, the chatbot should be able to support conversations about car brands, car models, should know how to tell Toyota Camry from Toyota Corolla, etc. This shoes and cars knowledge is not programmable. It is trainable. It is not coded, instead it is a part of language processing capability that AI solutions like chatbots have. And herein lies the major differentiation and advantage of the AI solutions compared to traditional software.

How to train AI?
There are several ways to do it. Sometimes AI system can train itself, improve its linguistic ability over time. It also can be trained by professional linguists. And in some cases, by the users. The latter is the desirable scenario because businesses know better than anybody else what they want their chatbot to talk about.
It is not easy, given the existing state of AI technology, and usually requires a high level of technical knowledge. You may have heard mentions of intents and entities in chatbot discussions. These are examples of linguistic elements AI training is currently based on.
Without proper understanding of what these linguistic elements are and how language acquisition process works in existing AI systems it is better to leave AI training to professional linguists.

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3 ways AI will increase your sales

                                                       

Many of us get the understanding of artificial intelligence from the film industry. It creates an image of smart, humanized machines that are helpful, efficient and omnipresent. It is true that AI has seen rapid advances in the past several years, to the point that it became an integral part of our everyday life.  In real life, however, AI is far away from the level portrayed in sci-fi movies. And yet there are affordable AI tools and solutions that can make a significant impact on your business.

Here are three main reasons why a company, especially if it is a B2C company, should consider integrating AI into their business process.

AI makes your sales process scalable

AI solution dealing with your prospects and customers works 24/7 without sick days, holidays and breaks. It can handle any level of traffic, incoming inquiries and conversations. It does not need to be trained. It does not have personal issues or bad days. It is always polite and uses professional jargon. It is fast.

AI creates better user experience

Some might find it surprising but this is only because they have experienced low quality AI solutions. A professional AI solution makes customer experience better primarily because it delivers the results with a minimum of fuss and maximum efficiency. A good AI eliminates bureaucracy, makes customer experience speedy and seamless, and that’s what consumers are looking for today.   

AI offers sustainability

Adding AI to your business model creates long-term sustainability for the business. It allows your business to grow while controlling, or even minimising the costs. More importantly, it ensures that the business remains competitive in providing the level of customer service consumers became accustomed to. Lastly, it creates platform for future technical improvements and integrations which, without a doubt, will be based on Artificial Intelligence components.

 

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