Edward Chenard fala sobre "Como envolver os clientes, sem deixar que a tecnologia fique no caminho da relação" no Congresso E-commerce Brasil de Experiência do Cliente 2014.
Design, usability and information architecture for e-commerce - Gaëtan Belbéoc'h
Similar to Personalization, Going Beyond the Technology (Como envolver os clientes, sem deixar que a tecnologia fique no caminho da relação) - Edward Chenard
Similar to Personalization, Going Beyond the Technology (Como envolver os clientes, sem deixar que a tecnologia fique no caminho da relação) - Edward Chenard (20)
2. Edward Chenard
- Started big data, data science and personalization at Best Buy, was working
in big data at GE before it was called big data.
- Set up one of the first hadoop clusters in Retail and the Midwest.
- Won tax innovation credits for my work on personalization
-Tekne finalist for big data innovation
- 20 years business experience, 10 years in personalization
- Managed teams as large as 300 with product portfolios of over $4B
- Developed products to eco-systems
edward@echenard.com
Twitter: Echenard
Slideshare: Echenard
3. The Situation
How Companies Personalize Is Not Personal
The Situation: Customers want a personalized experience, yet 2/3
complain that companies rely too much on technology creating
what is not a personalized experience.
4. How Companies Personalize
Google vs Facebook
How Google Personalizes
• Google uses search and
clickstream history
• The Google Self is often vain,
focused on embarrassing
things and searches for things
it would be reluctant to share
in a social setting.
• The Google downside is that it
is less able to draw on your
social side, but it is able to
draw on your private self
more than a social site might.
• It is geared to our more Pavlovian
selves.
How Facebook Personalizes
• Likes, Posts and who you interact
with.
• The Facebook self is often
aspirational, more of a performer
and tends to be more pro-social.
• Facebook’s downside is that it is
more of a public self, it draws less
on your private self as we are
unwilling to share this in a social
setting
• It is geared towards our more
sharing side.
Ultimately, neither one is
a true representation of
an individual
5. What is Personalization
Simple Definition, Many Answers
An Experience Where the User and the Media Define a Tailored Experience
Personalization is often defined as the implicit and explicit use of data about an individual to tailor an
experience for that individual.
Essentially, the individual becomes the content with relevancy, intent and time becoming the key kpis in
which we measure how we successfully addressed their needs.
How companies develop a personalization experience differs, without a clear understanding of these
different methods, personalization can deliver the wrong experience to the wrong persona.
Personalization requires a theory of what makes a person – of bits of data, are most important to
determine who someone is – and major players of the Web have quite different ways of approaching the
problem.
A good personalization strategy is an equation of psychology (the what) plus technology (the how), in
that order.
6. Defining the Strategy
Elements of a Personalization Strategy
A Roadmap to Deliver the What and the How of Personalization is Needed
The follow theories and concepts are the foundation to build the strategy of personalization. These are
common components that will be the core of our strategy.
How we Personalize
• Combine the strengths of Google
and Facebooks methods with
psychograph techniques.
• Listen, Adapt, Respond
• Services co-created with
customers and are interpedently
with wider service networks.
Benefits
• People will log in more
• Higher conversion and AOV
• Better emotional bond between
company and customer
Psychograph
Self
Facebook Self
Google Self
Clash between
Today and Future
Aspirational
You
Present You
1-1
7. What is Personalization
how to disrupt the market
Persuasion Profiling
Persuasion profiling: Suggests that the kind of arguments you respond to are highly transferrable from
one product category to another.
i.e.: If you like discounts you will respond well to them for shoes or TV’s. If you want the
most popular and trendy product, you will want them for clothes and tablets.
Combining persuasion profiling with new methods of sentiment analysis, it is now possible to guess
someone’s mood and target the right message to them based on their mood, time of day and the kind of
argument they best respond to.
Ex: People use substantially more positive words when they feel happy. Analysis of twitter or FB can
show this via sentiment analysis, based on the time of day, we can know what your typical aspirations
are then coupled with the argument you tend to like, we can send an email to you about a product that
will feel just right for you that is timely and relevant to your mood. Amazon can’t do this.
In research, this has seen a 30-40% increase in sales.
8. What is Personalization
using social graphs
Persuasion Profiling Coupled with Social Graph
The US Army uses social graphs for recruiting, they are quoted as saying they have “terrific success with
social graphs.
- If your 6 best friends enlist, us are likely to consider it too.
Likewise, if your friends or neighbors are buying Samsung products, you are likely to consider Samsung
products too.
- Using social graphs to influence is becoming the new way to target customers.
When combining social graph with persuasion profiling we not only know what you will consider based
on social influence, but we know what message to send you and how to send it and when to send it,
increasing our likelihood to increase conversion.
Persuasion Profiling with Social Graph in Action
9. What is Personalization
People Do Not have One identity
Fundamental Attribution Error and Day Parting
Most personalization programs attribute peoples’ behavior to their inner traits and personality rather than to the
situation they’re placed in.
Characteristics in people are fluid: Not all situations are the same, we need to match the personalization technique
with the situation. The individual is the content, the tools are the context.
To be competitive, our personalization needs to be focused on day-parting strategies.
Day parting is why we don’t hear beer commercials at 8am, we have different needs and aspirations at different times
of the day.
With only one identity, we lose the nuances that make for a good personalization fit. With day parting, we understand
people change and we change with them fitting the content with the context.
10. How to Deliver Personalization
To go Beyond Digital You need a Broader Strategy
Personalization is different, while most services are designed to be consistent and uniform,
personalization is co-created, meaning, interact anytime anywhere.
Technology as a communication tool first
Personal interaction augmented by data
Deliver value first
Be Open
Be clear and consistent
Develop real fans
12. Framing Personalization
12
Personalization
Strategy: Customer and Business Value
Analytics: Who, How, Where?
IT: What Tools and Why
Social Sciences:
Understanding the
Human Condition
- Measurable Results
- Speed to market
- What is important for the customer
- ROI
- MapReduce, Hadoop
- Cassandra, The Cloud
- Pig, Hive,
- HDFS
- Understanding the Customer
- Social trends and how to use them
- Linguistics
- Cross cultural communication
- Data Scientist vs. Statistician
- Where to find talent?
- Retain, Train
- Offshore vs. Onshore
- University involvement
13. How work gets structured
Vision &
Goals
Governance
Execution
Clearly articulated vision for
personalization and recommendations,
precisely defined goals with how to
measure. Defined scope of the product.
Market strategy, customer
segmentation, prioritization, org
focus, measurement and incentive
systems
Production process,
flexibility at scale, efficiency,
relationship management,
benchmarking, metrics,
initiatives
14. How We Need to Look at Discovery
Horizon
Future
Soon
Present
Past
16. Signal Types
Signals have attributes depending on their representation in time or frequency domain can
also be categorized into multiple classes
All signal types have certain qualities that describe how quickly signals can be generated
(frequency), how often the signals vary (rate of change), whether they are forward
looking (quality), and how responsive they are to stimulus (sensitivity)
Rate of Change
(Slow or Fast)
Quality
(Predictive or Descriptive)
Sensitivity
(Sensitive or Insensitive)
Frequency
(High or Low)
Sentiment
Expressed as
positive, neutral,
or negative, the
prevailing
attitude towards
and entity
Behavior
These signals
identify
persistent
trends or
patterns in
behavior over
time
Event/Alert
A discrete signal
generated when
certain
threshold
conditions are
met
Clusters
Signals based on
an entity’s
cohort
characteristics
Correlation
Measures the
correlation of
entities against
their prescribed
attributes over
time
17. New Solutions Must Aid Human Insight
Big Data + Personalization + Amplified Human Intelligence
Last Decade
- Structured Data
- Conclusive Dashboards
- Small scale / sampling
A data architect built a
view to reach a specific
conclusion
Next 5 Years
- Any data, from
anywhere
- Intuitive exploration
- Making sense of it
at scale
Business users easily
find, explore, visualize
and navigate insights
19. Data Discoverers are setting the
trend in what will be common
place in just a few short years.
More people will want to use
their data and the
consumerization of data and
technology will continue.
As this trend goes, only
organization that learn to merge
the various disciplines of
strategy, analytics and IT, will be
successful
data as a lifestyle
Data Discoverers
20. How to Deliver Personalization
How Macy’s Owns the Experience
Engage with customers to understand what they want and then deliver.
Engaged customers with rapid product teams to deliver apps that customers wanted.
Results: Better customer engagement.
Owning the complete experience, which means owning the relationship with the customer.
Convergence of active and passive marketing.
21. How to Deliver Personalization
Self Expression is the new Entertainment
Companies like Vine, tumblr and twitter are a new way to engage customers.
Social allows for moments in time to create impact.
Engage customers with sentiment analysis and targeted
ads (personal and highly relevant).
Allow for rapid communication
Helps to better understand intent.
People are always using technology to help them be free,
don’t disrupt but embrace this freedom and people will
become customers. Perfect
22. Always Remember: Data, Insights,
Actions
Listen
• Listen to the data streams
Share
• Share the data with the rest of the organization
Engage
• Engage to the data to find the insights
Innovate
• Innovate new ideas from the insights gained from the data
Perform
• Perform insightful actions from the data to create better customer
experiences
23. The Business Value
Framework
Timeliness Automated and
prompted
More Products Production
Efficiency
Ease of Data Collection
Business value
Ease of Implementation
Customer
Needs
Perceived Value
Pre-
recorded
Different
Products
Production
Flexibility
Customer’s
Wallet Share
Customer
Acceptance
Value Perceived
Ease of Data
Collection Customer’s Wallet Share
Business value
Initiatives
Ease of Implementation
Customer
Acceptance
Focus on
Customers
Focus on
Internals
24. DATA IS THE COMMODITY,
ACTION BASED ON
WISDOM IS THE SCARCE
RESOURCE
Next Steps
25. Early Stages Market LeadersLimited Selections and Locations
• Move Beyond your
site properties into
remarketing
• Recommendation:
Razorfish
• Develop your own
internal systems
• Recommendation:
Learn from the Best
• Develop in-store
customer
feedback
• Recommendation:
HappyorNot
• Engage Vendors
With strong skills
in personalization
• Recommendation,
Wibidata
How to Develop Your Plan
26. PERSONALIZED
MARKETING
Recommendations can
provide complete package
solutions based on a
customer’s purchases or
browsing history.
FAMILIAR
EXPERIENCE
ACROSS CHANNELS
Services are developed to be
similar for customers across
any touchpoint, familiarity
means better relationships
PERSONALIZED
EVERYWHERE
Every channel that
customers interact with.
ALL YOUR DATA
IN ONE PLACE
Customer data in one
location for them to
access and use will
improve the overall
customer experience by
address a known
customer want.
Common Quick Win areas for Personalization
THE RIGHT MESSAGE AT THE RIGHT TIME
27. Develop Your Team
Data science is a discipline for making sense of unstructured as well as numerous
data sets at scale
Strategy
- Define the
goals
Social
Define how to
engage
IT
Assemble the
Technology
Analytics
Make sense of the
Data
Linguistics
Distributed Processing (Hadoop)
Algorithms Development
Cross team Customer Experience Improvement
28. How Does Personalization Help with Growth
Purchase
13%
Time On
Site 62%
Browse
25%
Areas of Growth
Impact on $ Before After
Conversion Rate 3.5% 12%
AOV $50 $65
I am a practitioner of big dataI look into the future 90% accuracyGE industrial internetFocus on the practical and solutionsThis is about solutions
Technology as been used by Amazon to create recommendations and that has been called personalization. Technology alone does not make a customer’s experience personal. Companies need to employ better tools to create a personalized experience.
Google and Facebook have very different approaches to personalization. Both have positive and negatives and neither one creates a full picture of an individual. We need this full picture in order to understand the right way to sell and when to sell to people. By taking the good elements of each approach and then extending into areas, we can create a better personalization system that beats our competitors and improves our sales performance.
Personalization is not a clear cut strategy, there are many theories around personalization and a company needs to understand what is the strategy that best fits the goals they have in mind for the customer experience.We tend to design companies and products like machines. However, machines can’t learn and therefore they can’t adapt. Learning is the property of organisms and personalization is all about learning so it closer to you and I than a machine.Platforms are support structures that increase the effectiveness of the community. The community becomes an ecosystem that is highly adaptable and adjustable.
Personalization is not a clear cut strategy, there are many theories around personalization and a company needs to understand what is the strategy that best fits the goals they have in mind for the customer experience.What is true is that those who use a psychograph self tend to have a better business case and performance than those who do not.
Persuasion Profiling is a way to drive more engagement with customers. Amazon does not do this and we have many of the tools in place to do this. With a strong marketing, strategy in personalization, we can create a strong persuasion profiling strategy that will help us target customers with better timing and relevancy. Timing and relevancy are the critic pieces to a strong personalization strategy.
When we combine persuasion profiling and social, we can increase our ability to influence consumers. For example, if we take the nearby social influences of a customer, we can introduce them to new products that were not in their past but can be influencing them currently. Example, if someone only bought Sony products in the past, but their friends and neighbors are now buying Samsung and we know their persuasion profile shows that trendy products are an argument that they appeal to, then this information can be used to create new recommendation that otherwise would not be known by their browse or purchase history.
Day Parting allows us to target people at the right time. Timing is one of the key elements of a strong and efficient personalization program. Such a program that uses day parting increases our relevancy with our customers. When we increase relevancy, we increase our conversion rate.
How to deliver, knowing what is personalization, it is important to understand how to deliver on it.Personalization is a customer experience strategy. To make it work, first think about how that experience will unfold on a strategic level
Theories are great, but how to implement them is the hardest part. This is where most companies fail, success here gives you an advantage over your competitors.
View the frame as a clock starting at 12. Each section is important but the order is the most important. Following this order helps to ensure success.
Set up a structure Understand the vision, make it clearGovernance: have structure around the tasksExecution: Know how to get it done and whyLeadership plays a very important role in defining the vision and goals along with how they wish to see the program governed. Most people don’t understand personalization so having the right structure in place helps to ensure a good foundation for growth.
How we look at big data needs to take into account the factor of time and it’s relationship to the discovery process.Most organizations are stuck on 1 and 2 with a few on 3. True innovators look at Future and HorizonDiscovery is understanding how people view the world. Discover for both the company and customers. Customers and companies are always struggling between their ideal self and their current self, what should done and what they really just want to do to get by.
A shift from systems and forecasts to activities as our center of design needs to take place.Data alone can’t predict an unpredictable social animal known as the human beingFocus on the activities of people, not so much predicting them because we can’t do that good of a job with what we have.
Understand the signals customers send and how to use those signals to engage customers. The understanding of signals is the best way to engage your customersSignals are how we communicate. Once we know the signals we have a better understand of intent, which is the key to a good personalization offering.
Better teams need to be developed to understand customers. Our current team structures do not take into account the social sciences enough to truly understand the customer experience. Technology alone will never give us the solution we need.Consumers are not linear, they are scattered. Data is no longer just linear, it is circular often like the way consumers think. Inject yourself into that circular pattern to break it.
Knowledge of the customer experience becomes a competitive advantage. Most companies are great at the tracking and data collection. But few retailers can tell you what and why someone is at a location. Such information is what sets companies apart and really delivers on personalization.
Fitbit as an example of data discoverersData as the new self discovery toolLeads to consumerization of IT IT needs to adapt to be socialThis means teaming up with marketing and letting marketing joining the conversation with data
Personalization is different, while most services are designed to be consistent and uniform, personalization is co-created with the customers each and everytime the customer interacts with the company. This is a fundamental difference that few companies have currently mastered. Some companies like Macy’s are starting to understand and implement new concepts that do understand this.
Engage customers where they are moving to. The new shorter attention media sites are where customers are going. Engage and be authentic on these to gain stronger traction. Inject yourself into the social networks of people’s small networks. Be an information broker or a closer. Closeness is the measure of how easily a person. Betweeness indicates the degree to which people form a bridge or critical link. The strong that connection the better the personalization bond is.
Data, Insights Actions, must be core to your strategy. The complexity of the new way of business is a new networked interdependent economy that creates uncertainly and a lot of ambiguous competitive situations. Competitive advantages will go to those companies that are able to create structures that allow them to get past these limitations. As behaviors are repeated, they form strong associations over time.
Have a framework in place to help weight priorities and attributesWhat is really important.The Law of Requisite Variety, also known as Ashby’s Law, states that any control system must be capable of variety that’s greater than or equal to the variety in the system to be controlled. Therefore, having the right structures in place to allow you to see the varieties and adjust accordingly, will give you an advantage in the market.
Next Steps
Have you started?Learn from vendors who know the field, such as WibidataEngage vendors to help augment the physical experience such as HappyorNot (Finish company)Look beyond your site to have a larger presence in the lives of customers.To really be the best at personalization you will need to know your customers and that often means developing your own systems.
These areas of personalization are often the easiest areas for a company to start development in. Focus on all or one of them to optimize growth.
Numbers show growth of how personalization and improve the bottom line