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                   Consumer Genome
                   Understanding What Makes Consumers Tick

                - Vaidyanatha Siva



                For those of us who aren’t rocket scientists, the genome is simply, “the entirety of an organism’s hereditary information”.
                It’s what makes us human beings unique as individuals. The human genome not only determines an individual’s physical
                characteristics but also influences one’s skills, attributes, attitude and even behavior.




           www.infosys.com
Predicting musical tastes is whole lot simpler than predicting and influencing
                                             consumer behavior which remains the Holy Grail for marketers. John Wanamaker,
                                             a marketing pioneer of the 19th century was resigned to spending large sums of
                                             money on advertising while knowing half of it would be wasted – “the trouble
                                             is, I don’t know which half”. My all-time favorite marketer, Don Draper from
                                             “Madmen”, had no need for data, trusting his own instincts and clients be damned
  The biological genome has inspired
                                             if they disagreed. Marketers have toiled with tools and dabbled in technology
  many of its cousins in the virtual
                                             for years. But there’s been steady progress made in understanding customers
  world with less grander but still useful
                                             and huge advances achieved through digital marketing.
  purposes. Most famously, Pandora
  Radio’s Music Genome Project allows        The first quantum leap occurred when ecommerce took off and marketers began
  users to create their own radio stations   to decipher clues to consumer behavior through on-line shopping data. We
  to play music reflecting their personal    expanded the marketing lexicon with terms like “abandoned shopping carts”
  tastes. Create a station based your        and “click streams”. Social media was the next great leap that allowed buyers
  favorite Dave Brubeck song and you’ll      to invite their friends and family to become active participants in the purchase
  be served similar songs from other         process – from very large purchases to the trivial. Influence is the new coin of
  artists. Don’t like a song? Tell Pandora   the realm and every marketer want to know who has it. The more we learn, the
  and your playlists will evolve with        more we want to know.
  your tweaks. Pandora’s music genome
                                             Now here’s where it gets really interesting. At Infosys, we’ve created what we call
  consists of over 400 musical attributes
                                             the Consumer Genome and it could well be the next leap in thinking. Just like
  covering quality attributes of melody,
                                             its human counterpart, the basic premise of a consumer genome is that certain
  harmony, rhythm, composition and
                                             intrinsic attributes strongly determine consumer behavior. The list includes
  lyrics. This capability took years to
                                             demographics, connections, influences, interests, needs and buying behavior.
  develop and the more you use it,
                                             That’s a marked departure from current consumer understanding practices, with
  the better it gets at predicting what
                                             an over reliance on demographic metrics as predictors of behavior.
  you like. Sure, there’s lots of music to
  choose from and more being created         The consumer genome has its own complex DNA, made up of rich information
  every day. But no matter what type         about an individual that can provide unique and compelling insights into that
  of music – from electronic dance to        person’s consumption behavior. By decoding it, consumer product companies,
  hip-hop to classical, there’s only so      retailers, indeed all types of marketers can personalize their offerings, channels
  many parameters that describe this         and campaigns to each and every individual. Call it “extreme relevance”. 	
  infinite body of work. Create a fancy      The genesis of the consumer genome concept can be traced back a year or two
  algorithm, allow it to learn from your     when some initiatives at our Innovation Labs started showing incredible results.
  behavior and problem solved.               We witnessed a client’s marketing campaign registration rate shoot up threefold
                                             after some fairly inexpensive and straight forward social media hooks were
                                             introduced. Another client’s average order size from a pilot group of customers
                                             increased 25% when the in-store shopping experience was enhanced with some
                                             non-intrusive personalization from other data sources.

                                             Although these interventions impacted clients in different ways, they shared
                                             certain similarities. In each case, the client organization began to look at
                                             its customers through a clearer lens, that of real information, rather than
                                             guesstimates or proxy data. This sparked an effort to use technology to “connect
                                             the dots” to arrive at a genome for an individual consumer or one who is part of
                                             a larger group with the same “genetic” makeup.

                                             Our initial inquiry developed into a quest for the key characteristics defining the
                                             consumer genome, their influence on shopping behavior and a consumer’s level
                                             of influence on others through word of mouth and social media.

                                             The key characteristics to emerge, in order of priority, turned out to be:
                                             immediate needs and interests, buying behavior, connections and influence, and
                                             demographics. It became immediately apparent that marketers had been relying
                                             on the least influential factor of demographics to influence sales conversion. If




2 | Infosys
marketers recognized the importance of this information earlier                        We see enormous potential in applying the consumer genome
they could have shifted focus to studying consumer needs and                           across industries. There is virtually no limit to the amount of data
interests instead.                                                                     sources that can be incorporated into to the mix. Machine learning
                                                                                       algorithms improve the accuracy with each turn of the crank. We’ll
Thanks to advances in technology, like Cloud computing and
                                                                                       likely see several well defined use cases burgeoning in various
Big Data, it’s now possible to interpret both stated and implied
                                                                                       domains.
customer needs and interests in real-time, even as the interaction is
taking place at the store, on the Internet, or through the call center.                Is it perfect? No. But we’re making headway and expect the
                                                                                       consumer genome to play a key role across industries and drive
While the other genome characteristics like social connections
                                                                                       personalization to the next level. Imagine actually being excited
certainly influence buying behavior, they don’t drive conversion to
                                                                                       that a retailer reached out to you the moment you realized you
the same extent as need and interest. However, social connections
                                                                                       needed something and provided a special customized offering
are still important in driving word of mouth.
                                                                                       that fit your needs precisely. We’re almost there….
Our consumer genome trials have concentrated on the retailing
industry so far but the concept is equally applicable to other
domains, ranging from insurance to financial services. For instance,
knowledge of a consumer’s genome could affect the way financial
products are marketed if a prospect’s appetite for investment
risk could be inferred along with other latent needs that are not
communicated.




    About the Author
                         Vaidyanatha Siva
                         Associate Vice President and Technology Officer for the Global Retail, Consumer Goods, Life Sciences and Logistics Business Unit at Infosys
                         Limited
                         Siva is responsible for development, articulation and deployment of technology strategy for the global Retail, Consumer Goods, Life
                         Sciences and Logistics Business Unit. He is a member of the Unit Executive Council and is also responsible for the setup, organization
                         and delivery of technology consulting services aligned with the Unit’s strategic plans.
                          Siva has about 16 years of industry experience and has spent the last 10 years with Infosys in various technology leadership roles.
    He is recognized as a technology visionary and has incubated several innovative technology products and solutions. He has also authored two books -
    on next generation architecture and big data.
    Siva received his bachelor’s degree in Engineering from the Indian Institute of Technology, Madras, and his master’s degree in Business Administration
    from the SMU-Cox School of Business.




                                                                                                                                                            Infosys | 3
About Infosys
Many of the world's most successful organizations rely on Infosys to
deliver measurable business value. Infosys provides business consulting,
technology, engineering and outsourcing services to help clients in over
30 countries build tomorrow's enterprise.

For more information, contact askus@infosys.com                                                                                                                                       www.infosys.com
© 2012 Infosys Limited, Bangalore, India. Infosys believes the information in this publication is accurate as of its publication date; such information is subject to change without notice. Infosys acknowledges
the proprietary rights of the trademarks and product names of other companies mentioned in this document.

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Consumer Genome: Understanding What Makes Consumers Tick

  • 1. Insights Consumer Genome Understanding What Makes Consumers Tick - Vaidyanatha Siva For those of us who aren’t rocket scientists, the genome is simply, “the entirety of an organism’s hereditary information”. It’s what makes us human beings unique as individuals. The human genome not only determines an individual’s physical characteristics but also influences one’s skills, attributes, attitude and even behavior. www.infosys.com
  • 2. Predicting musical tastes is whole lot simpler than predicting and influencing consumer behavior which remains the Holy Grail for marketers. John Wanamaker, a marketing pioneer of the 19th century was resigned to spending large sums of money on advertising while knowing half of it would be wasted – “the trouble is, I don’t know which half”. My all-time favorite marketer, Don Draper from “Madmen”, had no need for data, trusting his own instincts and clients be damned The biological genome has inspired if they disagreed. Marketers have toiled with tools and dabbled in technology many of its cousins in the virtual for years. But there’s been steady progress made in understanding customers world with less grander but still useful and huge advances achieved through digital marketing. purposes. Most famously, Pandora Radio’s Music Genome Project allows The first quantum leap occurred when ecommerce took off and marketers began users to create their own radio stations to decipher clues to consumer behavior through on-line shopping data. We to play music reflecting their personal expanded the marketing lexicon with terms like “abandoned shopping carts” tastes. Create a station based your and “click streams”. Social media was the next great leap that allowed buyers favorite Dave Brubeck song and you’ll to invite their friends and family to become active participants in the purchase be served similar songs from other process – from very large purchases to the trivial. Influence is the new coin of artists. Don’t like a song? Tell Pandora the realm and every marketer want to know who has it. The more we learn, the and your playlists will evolve with more we want to know. your tweaks. Pandora’s music genome Now here’s where it gets really interesting. At Infosys, we’ve created what we call consists of over 400 musical attributes the Consumer Genome and it could well be the next leap in thinking. Just like covering quality attributes of melody, its human counterpart, the basic premise of a consumer genome is that certain harmony, rhythm, composition and intrinsic attributes strongly determine consumer behavior. The list includes lyrics. This capability took years to demographics, connections, influences, interests, needs and buying behavior. develop and the more you use it, That’s a marked departure from current consumer understanding practices, with the better it gets at predicting what an over reliance on demographic metrics as predictors of behavior. you like. Sure, there’s lots of music to choose from and more being created The consumer genome has its own complex DNA, made up of rich information every day. But no matter what type about an individual that can provide unique and compelling insights into that of music – from electronic dance to person’s consumption behavior. By decoding it, consumer product companies, hip-hop to classical, there’s only so retailers, indeed all types of marketers can personalize their offerings, channels many parameters that describe this and campaigns to each and every individual. Call it “extreme relevance”. infinite body of work. Create a fancy The genesis of the consumer genome concept can be traced back a year or two algorithm, allow it to learn from your when some initiatives at our Innovation Labs started showing incredible results. behavior and problem solved. We witnessed a client’s marketing campaign registration rate shoot up threefold after some fairly inexpensive and straight forward social media hooks were introduced. Another client’s average order size from a pilot group of customers increased 25% when the in-store shopping experience was enhanced with some non-intrusive personalization from other data sources. Although these interventions impacted clients in different ways, they shared certain similarities. In each case, the client organization began to look at its customers through a clearer lens, that of real information, rather than guesstimates or proxy data. This sparked an effort to use technology to “connect the dots” to arrive at a genome for an individual consumer or one who is part of a larger group with the same “genetic” makeup. Our initial inquiry developed into a quest for the key characteristics defining the consumer genome, their influence on shopping behavior and a consumer’s level of influence on others through word of mouth and social media. The key characteristics to emerge, in order of priority, turned out to be: immediate needs and interests, buying behavior, connections and influence, and demographics. It became immediately apparent that marketers had been relying on the least influential factor of demographics to influence sales conversion. If 2 | Infosys
  • 3. marketers recognized the importance of this information earlier We see enormous potential in applying the consumer genome they could have shifted focus to studying consumer needs and across industries. There is virtually no limit to the amount of data interests instead. sources that can be incorporated into to the mix. Machine learning algorithms improve the accuracy with each turn of the crank. We’ll Thanks to advances in technology, like Cloud computing and likely see several well defined use cases burgeoning in various Big Data, it’s now possible to interpret both stated and implied domains. customer needs and interests in real-time, even as the interaction is taking place at the store, on the Internet, or through the call center. Is it perfect? No. But we’re making headway and expect the consumer genome to play a key role across industries and drive While the other genome characteristics like social connections personalization to the next level. Imagine actually being excited certainly influence buying behavior, they don’t drive conversion to that a retailer reached out to you the moment you realized you the same extent as need and interest. However, social connections needed something and provided a special customized offering are still important in driving word of mouth. that fit your needs precisely. We’re almost there…. Our consumer genome trials have concentrated on the retailing industry so far but the concept is equally applicable to other domains, ranging from insurance to financial services. For instance, knowledge of a consumer’s genome could affect the way financial products are marketed if a prospect’s appetite for investment risk could be inferred along with other latent needs that are not communicated. About the Author Vaidyanatha Siva Associate Vice President and Technology Officer for the Global Retail, Consumer Goods, Life Sciences and Logistics Business Unit at Infosys Limited Siva is responsible for development, articulation and deployment of technology strategy for the global Retail, Consumer Goods, Life Sciences and Logistics Business Unit. He is a member of the Unit Executive Council and is also responsible for the setup, organization and delivery of technology consulting services aligned with the Unit’s strategic plans. Siva has about 16 years of industry experience and has spent the last 10 years with Infosys in various technology leadership roles. He is recognized as a technology visionary and has incubated several innovative technology products and solutions. He has also authored two books - on next generation architecture and big data. Siva received his bachelor’s degree in Engineering from the Indian Institute of Technology, Madras, and his master’s degree in Business Administration from the SMU-Cox School of Business. Infosys | 3
  • 4. About Infosys Many of the world's most successful organizations rely on Infosys to deliver measurable business value. Infosys provides business consulting, technology, engineering and outsourcing services to help clients in over 30 countries build tomorrow's enterprise. For more information, contact askus@infosys.com www.infosys.com © 2012 Infosys Limited, Bangalore, India. Infosys believes the information in this publication is accurate as of its publication date; such information is subject to change without notice. Infosys acknowledges the proprietary rights of the trademarks and product names of other companies mentioned in this document.