As a Sales Marketing Management Downtown, 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 New Innovations & planning can make your business and products more popular.
For your profession as Sales Marketing Management Downtown 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.
e-Marketing Strategy: 7 Dimensions to Consider For Digital Growth
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.
There’s been plenty of headlines about AI and machine learning being the future of retail marketing. The concept itself can seem overwhelming and out of reach for retailers. However, more marketing organizations are gearing up to add machine learning capabilities sooner than you may think. This article is all about what machine learning marketing is and how it can improve your customer experience.
What is Machine Learning?
84% of marketing organizations are implementing or expanding AI and machine learning in 2018!
If most organizations are implementing it, then what is it? Machine learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world integrations.
There’s a lot of academic research and forums around the concept of machine learning. For merchants though, machine learning is giving customer data to computer systems so it can analyze the data and automatically learn and improve. Machine learning marketing then is using these types of technologies to provide better services and experiences to your customers. Think of products like Siri, Amazon Echo or services like Facebook’s retargeting ads. No matter how machine learning or AI is being used, it all comes down utilizing accurate customer data.
Benefits of Machine Learning for Commerce
Why are merchants using machine learning and AI? The answer is bettering customer experiences!
75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%. Customers no longer shop and buy on price and quality alone. They’re looking for intuitive customer experiences that make purchasing easy, convenient, and personalized to their needs. That’s a tall order for merchants, but machine learning marketing is a way to get there.
Here are some of the major benefits of implementing machine learning for your business that help improve the customer experience:
Real-time Marketing across Digital Platforms
Marketing is all about getting the right message to the right person at the right time. Machine learning is now making that a reality for merchants. AI systems have unparalleled level of responsivity when it comes to analyzing customer data and then delivering. For example, technology utilizes a customer’s web history to deliver fast and accurate content based on a customer’s interests.
According to a recent reports, two-thirds of consumers are more likely to buy from a retailer that recognizes them by name, recommends options based on past purchases, OR knows their purchase history. Machine learning can handle your Big Data so you can utilize it to better know your customers. Your customers will actually feel like you know them, not just that you’re selling to them.
Service or Support
A lot of merchants struggle with providing quick and helpful customer support when something goes wrong. With machine learning, you can automate parts of your customer service to ensure quicker response times and offer 24×7 support. As an example, many companies are already using chatbots for part of the process on both their websites and mobile apps to answer easy customer questions.
Future Product Development
If you know your customers better, you also understand their needs. Customer data from machine learning is also valuable for future product development. You can identify customer needs easier and tweak or create new products that you’ll know your customers will love.
How Artificial Intelligence Is Taking Online Shopping Trends to New Heights
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 Sales Marketing Management Downtown, we strive to create personal and business value for all our network peers.
Market segmentation is widely defined as being a complex process consisting in two main phases:
- identification of broad, large markets
- segmentation of these markets in order to select the most appropriate target markets and develop Marketing mixes accordingly.
Everyone within the Marketing world knows and speaks of segmentation yet not many truly understand its underlying mechanics, thus failure is just around the corner. What causes this? It has been documented that most marketers fail the segmentation exam and start with a narrow mind and a bunch of misconceptions such as "all teenagers are rebels", "all elderly women buy the same cosmetics brands" and so on. There are many dimensions to be considered, and uncovering them is certainly an exercise of creativity.
The most widely employed model of market segmentation comprises 7 steps, each of them designed to encourage the marketer to come with a creative approach.
STEP 1: Identify and name the broad market
You have to have figured out by this moment what broad market your business aims at. If your company is already on a market, this can be a starting point; more options are available for a new business but resources would normally be a little limited.
The biggest challenge is to find the right balance for your business: use your experience, knowledge and common sense to estimate if the market you have just identified earlier is not too narrow or too broad for you.
STEP 2: Identify and make an inventory of potential customers' needs
This step pushes the creativity challenge even farther, since it can be compared to a brainstorming session.
What you have to figure out is what needs the consumers from the broad market identified earlier might have. The more possible needs you can come up with, the better.
Got yourself stuck in this stage of segmentation? Try to put yourself into the shoes of your potential customers: why would they buy your product, what could possibly trigger a buying decision? Answering these questions can help you list most needs of potential customers on a given product market.
STEP 3: Formulate narrower markets
McCarthy and Perreault suggest forming sub-markets around what you would call your "typical customer", then aggregate similar people into this segment, on the condition to be able to satisfy their needs using the same Marketing mix.
Start building a column with dimensions of the major need you try to cover: this will make it easier for you to decide if a given person should be included in the first segment or you should form a new segment. Also create a list of people-related features, demographics included, for each narrow market you form - a further step will ask you to name them.
There is no exact formula on how to form narrow markets: use your best judgement and experience. Do not avoid asking opinions even from non-Marketing professionals, as different people can have different opinions and you can usually count on at least those items most people agree on.
STEP 4: Identify the determining dimensions
Carefully review the list resulted form the previous step. You should have by now a list of need dimensions for each market segment: try to identify those that carry a determining power.
Reviewing the needs and attitudes of those you included within each market segment can help you figure out the determining dimensions.
STEP 5: Name possible segment markets
You have identified the determining dimensions of your market segments, now review them one by one and give them an appropriate name.
A good way of naming these markets is to rely on the most important determining dimension.
STEP 6: Evaluate the behavior of market segments
Once you are done naming each market segment, allow time to consider what other aspects you know about them. It is important for a marketer to understand market behavior and what triggers it. You might notice that, while most segments have similar needs, they're still different needs: understanding the difference and acting upon it is the key to achieve success using competitive offerings.
STEP 7: Estimate the size of each market segment
Each segment identified, named and studied during the previous stages should finally be given an estimate size, even if, for lack of data, it is only a rough estimate.
Estimates of market segments will come in handy later, by offering a support for sales forecasts and help plan the Marketing mix: the more data we can gather at this moment, the easier further planning and strategy will be.
These were the steps to segment a market, briefly presented. If performed correctly and thoroughly, you should now be able to have a glimpse of how to build Marketing mixes for each market segment.
This 7 steps approach to market segmentation is very simple and practical and works for most marketers. However, if you are curious about other methods and want to experiment, you should take a look at computer-aided techniques, such as clustering and positioning.
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.