As a Sales And Marketing Executive, 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 Artificial Intelligence Marketing & planning can make your business and products more popular.
For your profession as Sales And Marketing Executive 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.
According to John McCarthy, who is the father of Artificial Intelligence, an AI is "The science and designing of making intelligent machines, especially intelligent PC programs".
Artificial intelligence is a way of making a computer robot or a software think intelligently same as an intelligent human thinks. Artificial Intelligence (AI) is the concept of having machines "think like humans".
AI has a huge effect on your life. Whether you are aware or not, it has already influenced your life style and it is very much likely to grow in coming years.
Here are some examples of AI that you are already using in your daily life:
• Your personal assistant Siri - It is an intelligent digital personal assistant on various platform (Windows, Android, and iOS). It provides you an assistance whenever you ask for it using your voice.
• Smart cars - Google's self-driving car, and Tesla's "auto-pilot" feature are two examples of Artificial Intelligence.
• Recommended products or Purchase prediction - Large retailers like Amazon, recommend you the products, send coupons to you, offer discounts, target advertisements on the basis of the shopping you earlier had by a predictive analytics algorithm.
• Music and movie recommendation services - Pandora, and Netflix recommend music and movies based on the interest you've expressed and judgements you have made in the past.
Other simple examples of AI influencing our daily life are:
- Facebook provides recommended photo tags, using face recognition.
- Amazon provides recommended products, using machine learning algorithms.
- Waze (a GPS and maps app) optimal routes, all at the click of a button.
- Spotify knows my music preferences and curates personalized playlists for me.
As per Marc Benioff, AI is going to impact corporate world, employees will be faster, smarter and more productive. It will learn from the data. Ultimately, it will understand what customers want before even they know and it could be a game-changer in the CRM industry.
Salesforce already bought productivity, and machine learning startups RelatedIQ, Metamind, and Tempo AI in 2014.
AI (Artificial Intelligence) in salesforce is not about time-travelling robots trying to kill us, or evil machines using humans as batteries in giant factories. Here we are not talking about some summer blockbusters, we are talking about the salesforce AI which will make your daily experience smarter, by embedding daily predictive intelligence into your apps.
So, what is AI?
AI is not killer robots; it is killer technology.
Artificial Intelligence (AI) is the concept of having machines "think like humans" - in other words, perform tasks like reasoning, planning, learning, and understanding language.
Customer focused AI: Salesforce Einstein
Salesforce is focusing on creating a platform for solving the customer problems across Sales, Service, Marketing and IT in a completely new way by using Salesforce Einstein.
Salesforce Einstein is built into the core of the Salesforce Platform. It enables anyone to use clicks or code to build AI-powered apps.
With Salesforce Einstein, we can have answer of these type of questions:
- Are you sure that you are servicing your customers by the right client?
- Are you sure that your customers are getting services on the right channel?
- Is it correct to say that you are offering the right item to the right customer at the right time?
- Is it correct to say that you are using the right channel for marketing your products at perfect time with best substance?
Salesforce Einstein is your data scientist
Einstein is like having your own data scientist dedicated to bringing AI to every customer relationship. It learns from all your data - CRM data, email, calendar, social, ERP, and IoT - and delivers predictions and recommendations in context of what you're trying to do.
AI has the ability to transform CRM using Salesforce Einstein
- Sales people can spend more time in visiting customers, not in entering data in CRM.
- Sales people can now better understand the customer requirement and when they need it.
- Sales people can close deals faster by predicting the next step for every customer.
- A service agent could suggest a solution to the customer even before he asked for it.
- Service agent can offer cross-sell at the right time to the right customer.
- Marketing user can easily reach to the right customer at the right time.
- Marketing user know who could be the best audience for each campaign.
- He can easily identify the customer requirement so he delivers the perfect content to every customer.
Salesforce Einstein enables everyone to discover new ways, predict outcomes so help in decision making, recommend next steps, and automates most of your activities so that you can spend most of your time in building strong relationship with customers rather than making entries in system.
What will AI give me that I didn't already have?
Predictive scoring -Predictive lead scoring gives each sales lead a score representing the likelihood it will convert into an opportunity. You also get the reasons
behind the score - for instance the lead source, the industry, or some other factor is an especially strong indicator that a lead will or won't convert.
Forecasting -AI can also be used to predict the future value of something, like a stock portfolio or a real estate investment. If you're a sales manager, AI can predict your quarterly bookings and let you know ahead of time whether or not your team is on track to meet its quota.
Recommendations - Anyone who shops online knows that AI makes suggestions for retail purchases, but it can also make smart recommendations for any other product or service category from business software to tax consulting to cargo containers. And AI can also recommend things other than products - for instance, which white paper you should email a prospect in order to optimize your chance to close a deal.
Who can use AI in the enterprise
Anyone in organization can easily use AI to analyze their data, predict and plan next steps, and automate their tasks and decisions. With Einstein's comprehensive AI for CRM:
• Sales can anticipate next opportunities and exceed customer expectations by knowing what a customer needs before the customer does
• Service can deliver proactive service by anticipating cases and resolving issues before they become problems
• Marketing can create predictive journeys and personalize customer experiences like never before
• IT can embed intelligence everywhere and create smarter apps for employees and customers
What is Machine Learning
Machine learning is the core driver of AI. It's the concept of having computers learn from data with minimal programming.
Marketing Strategy - What It Is, And Why It Is So Important ?
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 And Marketing Executive, 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.