MARKETING STRATEGY
INTRODUCTION
• Amarketing strategy is a long-term vision
outlining a business’s value proposition to its
customers. Rather than describing the
concrete actions required in specific
advertising campaigns, marketing strategies
are used as a compass to direct overall
marketing efforts.
3.
• What isa marketing strategy?
A marketing strategy is an overview of how a
business or organization will articulate its
overall value proposition to its customers.
Generally, a marketing strategy outlines the
business’ goals, its target market, buyer
personas, competitors, and value for
customers.
• Product –how you satisfy customer needs
• Price – how much customers are willing to pay
for your product
• Promotion – which channels you use to tell
customers about your product
• Place – where you sell your product
• People – individuals who help sell your
product to customers
• Packaging – how you present your product to
the customer
• Process – how you deliver your product to
customers
7.
MARKETING MIX
• INTRODUCTION
•A marketing mix includes multiple areas of
focus as part of a comprehensive marketing
plan. The term often refers to a common
classification that began as the four Ps:
product, price, placement, and promotion.
• 1.Product inMarketing Mix:
• A product is a commodity, produced or built to
satisfy the need of an individual or a group.
The product can be intangible or tangible as it
can be in the form of services or goods.
10.
• 2.Price inMarketing Mix:
Price is a very important component of the
marketing mix definition. The price of the
product is basically the amount that a
customer pays for to enjoy it. Price is the most
critical element of a marketing plan because it
dictates a company’s survival and profit.
11.
• Place inMarketing Mix:
• Placement or distribution is a very important
part of the marketing mix strategy. We should
position and distribute our product in a place
that is easily accessible to potential
buyers/customers.
12.
• Promotion inMarketing Mix:
• It is a marketing communication process that
helps the company to publicize the product
and its features to the public.
13.
CUSTOMER BEHAVIOR
• INTRODUCTION
•Customer behavior refers to an individual's
buying habits, including social trends,
frequency patterns, and background factors
influencing their decision to buy something.
Businesses study customer behavior to
understand their target audience and create
more-enticing products and service offers
14.
SELLING PROCESS
• Salesis a key part of any business, helping
companies grow while building a strong
customer base.
• Learning about the selling process can help
you find potential buyers or prospective
clients, increase your overall sales and nurture
your relationship with consumers.
15.
• 7-stepsellingprocess
•
• Hereare seven steps that a retypically involved in making a sale:
• Prospecting
• Preparation OR pre-approach
• Approach
• Presentation
• Handling objections
• Closing
• Follow-up
17.
SALES PLANNING
• INTRODUCTION
•A sales plan is a document that encompasses
goals, target audience, and sales strategy
aimed at attaining necessary results. It enables
a company’s team to predict business-related
risks and avoid them.
18.
• How towrite a sales plan?
• Creating a sales plan might require you to
spend some time defining goals, revenue
targets, tasks for departments, but it’s worth it.
In the end, you’ll have a clear roadmap for a
certain period your company’s team should
follow to get great results in sales. If you don’t
know where to start, we’ll help you. Follow our
guide to clarify the details of the process.
19.
How to writea sales plan?
• Determine your major goals.
• Make your targets more specific and accurate.
• Assess your resources.
• Choose KPIs.
• Allocate time wisely.
20.
ANALYTICS APPLICATIONS INMARKETING AND SALES SALES
ANALYTICS
INTRODUCTION:
• It's important for sales and marketing teams to
review their strategies and performance to
make improvements. One way to measure
performance is with sales analytics. Sales
analytics can also help sales and marketing
teams create strategies, so it's useful to learn
about sales analytics and how to use them.
21.
• What areSales Analytics? Sales analytics are a
method business can use to predict sales
trends and model their sales process.
Analytics typically involve technology that can
collect and measure sales data, such as reach,
purchases and customer interactions with the
business.
22.
Benefits of salesAnalytics:
• Optimize the sales funnel
• Identify strengths and weakness
• Increase efficiency in sales
23.
Types of Analyticsfor sale:
1. Market research
2. Sales trends
3. Predictive sales
4. The performance of sales
24.
Prescriptive marketing
• Prescriptivemarketing analysis reviews
marketing and customer data to inform sales
representatives of what to offer to which
clients and when. This is an intuitive analytic
and can be a great resource for
representatives by providing data on
prospects and customers to help make and
repeat sales.
MARKETING ANALYTICS
• INTRODUCTION:
Modernmarketing is a data-driven process
fueled by analytics. Without analyzing relevant
key performance indicators (KPI), businesses
can't tell whether their marketing efforts are
providing the expected return on investment
(ROI). Marketing analytics is the key to
evaluating past performance and determining
how to improve it going forward.
27.
What is marketinganalytics?
• Marketing analytics is a set of technologies
and methods used to transform raw data into
marketing insights. The goal of marketing
analytics is to maximize ROI from an
enterprise's marketing initiatives. Marketing
analytics encompasses tools for planning,
managing, and evaluating these efforts across
every channel.
28.
How to usemarketing analytics
• Understand search marketing
• Analyze social media engagement
• Optimize email marketing
• Take advantage of predictive scoring
29.
CONCLUSION:
• (Marketing analyticsand the data warehouse)
Enterprises should integrate their data before
performing analytics, as analyzing data across
marketing channels can reveal new,
unexpected insights. Centralizing information
in a data warehouse allows analysts and
engineers to access it for analytics and
reporting.