5 Practical Uses of Big Data
in Marketing and Sales
Bog Data in Marketing
and Sales
• The era of big data has reached a point
where “big” is no longer adequate to
describe the amount of information flowing
between channels. Every second, people
perform more than 55,000 Google
searches, send 2.5 million emails,
exchange 521,000 Facebook messages
and share 6,000 tweets.
Big Data in Marketing
• At the same time, customers are making
purchases from your website or browsing
your brick-and-mortar store for just the
right products to meet their needs. Each
message, online shopping session and
store visit contains valuable data you need
to reach your ideal customer and
maximize marketing and sales efforts.
Know Your Perfect
Customer
• Know Your Perfect Customer
• The days the blindly conceived, static and
unchanging customer personas are long
gone. With the amount of data available
about your customers, you no longer have
to guess who they are, what they want or
how their spending habits change over
time. Today’s data analytics platforms
allow you to look at data and determine
• Age and gender
• Location
• Demographics, including income
• Spending habits
• Purchasing patterns
• Payment preferences
• The most popular devices used for
shopping
• The most common times people shop
Apply the information you gather
and the behavior patterns you
observe to:
• Create granular
audience segments
• Build out targeted
marketing campaigns
• Tweak marketing and
sales tactics in real time
Improve
Personalization
• Data relating to consumer preferences can act as a powerful tool for
executing personalized shopping experiences.
• As the millennial generation continues to dominate the market and
Generation Z begins to exert influence, personalization is becoming
the cornerstone of successful sales.
• Consumers are used to being catered to and seeing product, service
and entertainment recommendations relevant to their tastes and
preferences.
• Eighty percent of customers prefer to buy from brands making an
effort to provide personalized experiences, so if you’re still using
generic messaging to try and sell to a wide audience of varied
consumers, you’re missing out on one of the most effective tactics in
modern marketing.
Analyze the enormous amount
of data you have on hand to
discover:
• Which items customers purchase most often
• Items frequently bought together
• How customers search your site
• The most common product searches
• Seasonal buying habits
• Your analysis can be translated into practical marketing
tactics like customized recommendations and coupons
delivered at the most optimal times to maximize the
potential for sales.
Create the Best Pricing
Model
• Every business owner knows the pain of purchasing a
large amount of inventory in anticipation of a rush on a
supposedly hot item but winding up taking a big loss
when a competitor offers a better deal.
• With detailed data analytics, you don’t have to guess
how to price items to drive sales and move inventory.
• Big data tools now offer ways to visualize the effects of
different pricing models on demand, allowing you to
anticipate how even small increases or decreases in
price will change your profit margins.
Big data tools now offer ways
to visualize the effects of
different pricing models on
demand
• Big data tools now offer ways to visualize the effects of
different pricing models on demand, allowing you to
anticipate how even small increases or decreases in
price will change your profit margins.
• Instead of getting into price wars with your competitors,
you can base your prices on what you know about how
your customers shop, what they’re willing to pay for
similar items and how purchasing behaviors in your
target demographic fluctuate throughout the year.
If your business is like most, you’re
probably trying to leverage a wide range
of platforms, including:
• Organic social media
• Social media advertising
• Email
• Pay-per-click (PPC) ads
• Direct mail• Print ads
• Data from these various channels comes in at different rates, but all
of it is important in determining how to allocate your marketing
budget.
• The trick to effective marketing using what you learn from data is to
balance short- and long-term strategies based on past campaign
performance.
Many brick-and-mortar retailers
are now using:
• • Dedicated apps to improve the in-store shopping
experience
• Beacons and location-based analytics to determine the
areas of the store in which customers spend the most
time
• Purchase tracking online and in store for a more robust
view of customer shopping behaviors
• Personalized loyalty programs to deliver targeted
coupons and discounts
• Information about customer preferences to inform
inventory purchasing decisions and ensure popular items
are always in stock.
The Bottom Line for Data
• Applying big data in these ways requires the right analytics tools and
a dedicated team of data experts to extract useful signals from the
constant noise generated by today’s connected world.
• To optimally leverage data for your business, it helps to appoint a
chief data officer to oversee your team and focus on how to turn
customer behavior signals into measurable results.
• Know what you want to achieve using the data you collect so that
you always have a focus for your marketing and sales efforts.
• Being willing to invest time and effort into data-driven campaigns
increase your chances of rising above the competition and reaching
the largest audience of ideal customers' signals into measurable
results.

Etechknol ppt

  • 1.
    5 Practical Usesof Big Data in Marketing and Sales
  • 2.
    Bog Data inMarketing and Sales • The era of big data has reached a point where “big” is no longer adequate to describe the amount of information flowing between channels. Every second, people perform more than 55,000 Google searches, send 2.5 million emails, exchange 521,000 Facebook messages and share 6,000 tweets.
  • 3.
    Big Data inMarketing • At the same time, customers are making purchases from your website or browsing your brick-and-mortar store for just the right products to meet their needs. Each message, online shopping session and store visit contains valuable data you need to reach your ideal customer and maximize marketing and sales efforts.
  • 4.
    Know Your Perfect Customer •Know Your Perfect Customer • The days the blindly conceived, static and unchanging customer personas are long gone. With the amount of data available about your customers, you no longer have to guess who they are, what they want or how their spending habits change over time. Today’s data analytics platforms allow you to look at data and determine
  • 5.
    • Age andgender • Location • Demographics, including income • Spending habits • Purchasing patterns • Payment preferences • The most popular devices used for shopping • The most common times people shop
  • 6.
    Apply the informationyou gather and the behavior patterns you observe to: • Create granular audience segments • Build out targeted marketing campaigns • Tweak marketing and sales tactics in real time
  • 7.
    Improve Personalization • Data relatingto consumer preferences can act as a powerful tool for executing personalized shopping experiences. • As the millennial generation continues to dominate the market and Generation Z begins to exert influence, personalization is becoming the cornerstone of successful sales. • Consumers are used to being catered to and seeing product, service and entertainment recommendations relevant to their tastes and preferences. • Eighty percent of customers prefer to buy from brands making an effort to provide personalized experiences, so if you’re still using generic messaging to try and sell to a wide audience of varied consumers, you’re missing out on one of the most effective tactics in modern marketing.
  • 8.
    Analyze the enormousamount of data you have on hand to discover: • Which items customers purchase most often • Items frequently bought together • How customers search your site • The most common product searches • Seasonal buying habits • Your analysis can be translated into practical marketing tactics like customized recommendations and coupons delivered at the most optimal times to maximize the potential for sales.
  • 9.
    Create the BestPricing Model • Every business owner knows the pain of purchasing a large amount of inventory in anticipation of a rush on a supposedly hot item but winding up taking a big loss when a competitor offers a better deal. • With detailed data analytics, you don’t have to guess how to price items to drive sales and move inventory. • Big data tools now offer ways to visualize the effects of different pricing models on demand, allowing you to anticipate how even small increases or decreases in price will change your profit margins.
  • 10.
    Big data toolsnow offer ways to visualize the effects of different pricing models on demand • Big data tools now offer ways to visualize the effects of different pricing models on demand, allowing you to anticipate how even small increases or decreases in price will change your profit margins. • Instead of getting into price wars with your competitors, you can base your prices on what you know about how your customers shop, what they’re willing to pay for similar items and how purchasing behaviors in your target demographic fluctuate throughout the year.
  • 11.
    If your businessis like most, you’re probably trying to leverage a wide range of platforms, including: • Organic social media • Social media advertising • Email • Pay-per-click (PPC) ads • Direct mail• Print ads • Data from these various channels comes in at different rates, but all of it is important in determining how to allocate your marketing budget. • The trick to effective marketing using what you learn from data is to balance short- and long-term strategies based on past campaign performance.
  • 12.
    Many brick-and-mortar retailers arenow using: • • Dedicated apps to improve the in-store shopping experience • Beacons and location-based analytics to determine the areas of the store in which customers spend the most time • Purchase tracking online and in store for a more robust view of customer shopping behaviors • Personalized loyalty programs to deliver targeted coupons and discounts • Information about customer preferences to inform inventory purchasing decisions and ensure popular items are always in stock.
  • 13.
    The Bottom Linefor Data • Applying big data in these ways requires the right analytics tools and a dedicated team of data experts to extract useful signals from the constant noise generated by today’s connected world. • To optimally leverage data for your business, it helps to appoint a chief data officer to oversee your team and focus on how to turn customer behavior signals into measurable results. • Know what you want to achieve using the data you collect so that you always have a focus for your marketing and sales efforts. • Being willing to invest time and effort into data-driven campaigns increase your chances of rising above the competition and reaching the largest audience of ideal customers' signals into measurable results.