As a Human Resource Novena, its very critical for you to understand developing brand strategy is extremely critical. The most important asset your company has is its brand. Quite simply, it drives the direction of your business. So you should definitely have a well thought out brand strategy in place.
Increasing competition in business develops similar products with good quality from different manufacturers. But only an effective, innovative and Managing Logistics & planning can make your business and products more popular.
For your profession as Human Resource Novena it becomes your responsibility to stay connected with like-minded supporting industry experts who can guide and help you deal with your day to day work issues.
3 Surprising Ways Artificial Intelligence Can Push Marketing and Advertising to the Next Level
If you are entrepreneurial in nature owning a business is very exciting adventure. It can also be the most difficult thing for you to get into if you are not prepared.
What is a Brand? Put simply, it defines the identity of an organisation, product or service. It's more than just names and logos. The identity needs to be based on a unique idea and told through a compelling story. It needs to connect with potential customers and form positive emotional bonds. The idea needs to be distinctive from the competition and relevant to the target markets worldview. It also needs to be authentic, meaning that it's not enough to simply make empty claims. The organisation needs to actually live its brand.
Brands increase the value of products and services by differentiating them from the competition, creating positive mental associations and forming emotional relationships with the customer. Philip Kotler from the Kellogg School of Management famously said that "if you are not a brand, you are a commodity. Then price is everything and the low cost producer is the only winner."
Competing on price may increase short-term sales, but is a dangerous strategy for anyone serious about building a profitable, sustainable business. Brands provide businesses with the means to free themselves from constant price competition, increase the value of their services, reduce their marketing costs and develop long-term customer loyalty.
Building a successful, sustainable brand requires careful planning and consistency. It needs a strategy. Brand strategy is the plan that defines defines the ideas and stories behind the brands, the structure and relationship of the brands within the organisation and the core identifying elements. These can include elements such as company and product names, tone of voice, logo's, colour schemes etc. It also provides the framework for implementing the brands throughout the organisations operations and for using them to efficiently work towards the businesses goals. It's not just a cosmetic exercise; it's a key element of business strategy.
With a clear strategy in place, managers can make appropriate, co-ordinated, informed decisions not just in marketing, but in all departments from product development through to customer service and recruitment. This process of embodying the brand idea throughout the organisation is what we call branding.
The beauty of branding is that by telling your customers authentic, compelling stories, you not only make your goods more attractive and valuable, you give your customers something to talk about. Humans naturally love to tell and share stories. By giving them good stories to tell, you gain access to what is by far the cheapest and most effective form of promotion - word of mouth.
Few organisations manage to achieve the full benefits of word of mouth, and worse still, for many organisations it spreads more negative stories than positive. To compensate for a lack of positive word of mouth, organisations spend huge sums of money on ineffective marketing exercises. Without an effective brand strategy these exercises are often unfocussed, inconsistent and unauthentic. Consequently, they rarely pay for themselves, let alone make a profit.
So what is the role of marketing? To a large extent, branding is the antithesis of marketing. Branding is the most effective way of generating positive word of mouth, making it both cheaper and more effective than traditional marketing techniques.
Marketing without a clear brand strategy is a chaotic, costly exercise that in essence is little more than shouting and showing off about your products and services. People don't like or trust show-offs. If you want to make an impact, you need to talk to them like grown ups. With exposure to thousands of marketing messages every day, consumers have become largely immune to meaningless promotional messages, filtering them out and filing them in their mental recycle bins.
However, there is still a place for marketing and in many cases, marketing is part of the branding process as it provides a means by which to spread the brand story. This explains why there is so much confusion regarding the difference between them. Marketing used to be about the promotion of products and services. Successful marketing now focuses on the promotion of brands.
If an organisation developed a perfect brand idea but did nothing to promote it, then no one would ever have heard about it. The story would never spread and the strategy would be unsuccessful. It's therefore important to combine the strengths of both branding and marketing in order to reach your target market.
The most successful organisations combine a confident and forward thinking idea with a robust and organised strategy. They then use carefully targeted marketing to help get their story out. The success of their brands means that as time goes on, the need for formal marketing reduces and the effectiveness of any existing marketing increases, thus paving the way for increased profits and organisational growth.
In conclusion, brands are a key element of building profitable businesses with long-term sustainability. When executed well, they increase sales, add value to products and services and reduce marketing costs. They also give focus to a business, boost staff morale and increase share value.
Building successful brands is not simply a cosmetic exercise. They need to be consistent, true to the organisation and embodied throughout their activities. This is only possible when a clear brand strategy is in place to act as a framework for their implementation, and to ensure that they are always working towards the business goals. Marketing has its place as a tool for promoting brands, but once they have made a connection with the core of their target market, successful brands can sell themselves through word of mouth.
3 Surprising Ways Artificial Intelligence Can Push Marketing and Advertising to the Next Level
With the support of our professional business network, you get the opportunity to exchange experience and knowledge at a top professional level, and to strengthen and develop your own skills within your management and specialist areas.
Through business relationships and experience sharing in confidential settings for Human Resource Novena, we strive to create personal and business value for all our network peers.
Hollywood paints a grim picture of a future populated by intelligent machines. Terminator; A Space Odyssey, The Matrix and countless other films show us that machines are angry, they’re evil and, if given the opportunity, they will not hesitate to overthrow the human race. Films like these serve as cautionary tales about what could happen if machines gain consciousness (or some semblance of). But in order for that to happen humans need to teach machines to think for themselves. This may sound like science fiction but it’s an actual discipline known as machine learning.
Still in its infancy, machine learning systems are being applied to everything from filtering spam emails, to suggesting the next series to binge-watch and even matching up folks looking for love.
For digital marketers, machine learning may be especially helpful in getting products or services in front of the right prospects, rather than blanket-marketing to everyone and adding to the constant noise that is modern advertising. Machine learning will also be key to predicting customer churn and attribution: two thorns in many digital marketers’ sides.
Despite machine learning’s positive impact on the digital marketing field, there are questions about job security and ethics that cannot be swept under the rug. Will marketing become so automated that professional marketers become obsolete? Is there potential for machine learning systems to do harm, whether by targeting vulnerable prospects or manipulating people’s emotions?
These aren’t just rhetorical questions. They get to the heart of what the future of marketing will look like — and what role marketers will play in it.
What is Machine Learning?
You can think of machine learning as using a computer or mathematics to make predictions or see patterns in data. At the end of the day, you’re really just trying to either predict something or see patterns, and then you’re just using the fact that a computer is really fast at calculating.
You may not know it, but you likely interact with machine learning systems on a daily basis. Have you ever been sucked into a Netflix wormhole prompted by recommended titles? Or used Facebook’s facial recognition tool when uploading and tagging an image? These are both examples of machine learning in action. They use the data you input (by rating shows, tagging friends, etc.) to produce better and more accurate suggestions over time.
Other examples of machine learning include spell check, spam filtering even internet dating - yes, machine learning has made its way into the love lives of many, matching up singles using complicated algorithms that take into consideration personality traits and interests.
How Machine Learning Works?
While it may seem like witchcraft to the layperson, running in the background of every machine learning system we encounter is a human-built machine that would have gone through countless iterations to develop.
Facebook’s facial recognition tool, which can recognize your face with 98% accuracy, took several years of research and development to produce what is regarded as cutting-edge machine learning.
So how exactly does machine learning work? Spoiler alert: it’s complicated. So without going into too much detail, here’s an introduction to machine learning, starting with the two basic techniques.
Supervised learning systems rely upon humans to label the incoming data - at least to begin with - in order for the systems to better predict how to classify future input data. Gmail’s spam filter is a great example of this. When you label incoming mail as either spam or not spam, you’re not only cleaning up your inbox, you’re also training Gmail’s filter (a machine learning system) to identify what you consider to be spam (or not spam) in the future.
According to Tommy, this type of machine learning can be likened to the relationship between a parent and a young child. When a child does something positive they’re rewarded. Likewise, when “[a machine] gets it right - like it makes a good prediction - you kind of give it a little pat on the back and you say good job.”Like any child (or person for that matter), the system ends up trying to maximize the positive reinforcement, thus getting better and better at predicting.
Unsupervised learning systems use unlabeled incoming data, which is then organized into clusters based on similarities and differences in the data. Whereas supervised learning relies upon environmental feedback, unsupervised learning has no environmental feedback.
The Power of Machine Learning
A lot of what machine learning can do is yet to be explored, but the main benefit is its ability to wade through and sort data far more quickly and efficiently than any human could, no matter how clever. Tommy is currently experimenting with an unsupervised learning system that clusters landing pages with similar features. Whereas one person could go through a few hundred pages in a day, this model can run through 300,000 pages in 20 minutes.
Machine Learning and the Digital Marketer
As data becomes the foundation for more and more marketing decisions, digital marketers have been tasked with sorting through an unprecedented amount of data. This process usually involves hours of digging through analytics, collecting data points from marketing campaigns that span several months. And while focusing on data analysis and post-mortems is incredibly valuable, doing so takes a significant amount of time and resources away from future marketing initiatives.
As advancements in technology scale exponentially, the divide between teams that do and those that don’t will become more apparent. Those that don’t evolve will stumble and those that embrace data will grow — this is where machine learning can help.
That being said, machine learning isn’t something digital marketers can implement themselves after reading a quick tutorial. It’s more comparable to having a Ferrari in your driveway when you don’t know how to drive standard or maybe you can’t even drive at all.
Until the day when implementing a machine learning system is just a YouTube video away, digital marketers could benefit from keeping a close eye on the companies that are incorporating machine learning into their products, and assessing whether they can help with their department’s pain points. So how are marketers currently implementing machine learning to make decisions based on data rather than gut instinct? There are many many new niches in marketing that are becoming more automated.
Networking has always been considered a powerful tool for improving business prospects, advancing a career, and developing ideas. Other than some brief, structured events, networking has been mostly informal and inexpensive in comparison to cost they otherwise spend on different channels. But membership is growing in many formal, long-term networking groups, and so is the price tag.
Our groups are not groups for generating sales leads, nor are they places where individuals can drop-in to gain quick advice on an immediate challenge. Members also sign a confidentiality agreement and benefits from the guided mentoring to help each other.
These groups include an experienced facilitator and use a structured discussion method to ensure appropriate participation.