deriving intelligence from customer actions: data marketing 2015 presentation

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Deriving Intelligence From buyers actions A presentation for Data Marketing 2015

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Page 1: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Deriving Intelligence From buyers actions  

A presentation for Data Marketing 2015  

Page 2: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

•  Safe  harbor  statement  under  the  Private  Securi4es  Li4ga4on  Reform  Act  of  1995:  •  This  presenta4on  may  contain  forward-­‐looking  statements  that  involve  risks,  uncertain4es,  and  assump4ons.  If  any  such  uncertain4es  materialize  

or  if  any  of  the  assump4ons  proves  incorrect,  the  results  of  salesforce.com,  inc.  could  differ  materially  from  the  results  expressed  or  implied  by  the  forward-­‐looking  statements  we  make.  All  statements  other  than  statements  of  historical  fact  could  be  deemed  forward-­‐looking,  including  any  projec4ons  of  product  or  service  availability,  subscriber  growth,  earnings,  revenues,  or  other  financial  items  and  any  statements  regarding  strategies  or  plans  of  management  for  future  opera4ons,  statements  of  belief,  any  statements  concerning  new,  planned,  or  upgraded  services  or  technology  developments  and  customer  contracts  or  use  of  our  services.  

•  The  risks  and  uncertain4es  referred  to  above  include  –  but  are  not  limited  to  –  risks  associated  with  developing  and  delivering  new  func4onality  for  our  service,  new  products  and  services,  our  new  business  model,  our  past  opera4ng  losses,  possible  fluctua4ons  in  our  opera4ng  results  and  rate  of  growth,  interrup4ons  or  delays  in  our  Web  hos4ng,  breach  of  our  security  measures,  the  outcome  of  any  li4ga4on,  risks  associated  with  completed  and  any  possible  mergers  and  acquisi4ons,  the  immature  market  in  which  we  operate,  our  rela4vely  limited  opera4ng  history,  our  ability  to  expand,  retain,  and  mo4vate  our  employees  and  manage  our  growth,  new  releases  of  our  service  and  successful  customer  deployment,  our  limited  history  reselling  non-­‐salesforce.com  products,  and  u4liza4on  and  selling  to  larger  enterprise  customers.  Further  informa4on  on  poten4al  factors  that  could  affect  the  financial  results  of  salesforce.com,  inc.  is  included  in  our  annual  report  on  Form  10-­‐K  for  the  most  recent  fiscal  year  and  in  our  quarterly  report  on  Form  10-­‐Q  for  the  most  recent  fiscal  quarter.  These  documents  and  others  containing  important  disclosures  are  available  on  the  SEC  Filings  sec4on  of  the  Investor  Informa4on  sec4on  of  our  Web  site.  

•  Any  unreleased  services  or  features  referenced  in  this  or  other  presenta4ons,  press  releases  or  public  statements  are  not  currently  available  and  may  not  be  delivered  on  4me  or  at  all.  Customers  who  purchase  our  services  should  make  the  purchase  decisions  based  upon  features  that  are  currently  available.  Salesforce.com,  inc.  assumes  no  obliga4on  and  does  not  intend  to  update  these  forward-­‐looking  statements.  

Safe  Harbor  

Page 3: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

@msweezey This presentation will be covering a lot of slides in a very

short amount of time. If you would like to follow along on your device please find my slides posted to twitter under @msweezey.

•  Mathew Sweezey (only one “T”) •  Principal of Marketing Insights for Salesforce •  Author of “Marketing Automation for

Dummies” •  Writer for Clickz.com

Page 4: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

What is the biggest problem marketers face?

#1 New Business Development

We asked 5000 B2B and B2C marketers this question:  

They said: (http://www.salesforce.com/research)  

Q

A #2 Quality of leads #3 Keeping up with trends

Page 5: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

What is the biggest problem marketers face?

We asked 5000 B2B and B2C marketers this question:  

Q

A How do we drive business amidst an entirely new consumer landscape?

Page 6: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

A Dynamic and predicative engagements across all channels.

This answer presents a major set of problems for you. Predictive and dynamic content is only as good as your content, and what you are able to derive from engagement with it. If you can not decipher what a consumer desires you can’t fulfill their desire no matter what buzz word you use!  

P

Page 7: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Empower Buyers They have the power

And they know How to use it.  

There is more computing power used in a single Google search than all of NASA had in

1969 to land a man on the moon.

-Google research team

 

Page 8: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Needs Change With Mobility More people in the world have access

to a mobile phone than have access to clean drinking water or electricity. They use it to fulfill human needs.  

Instant access to consumer generated content fulfills a human desire of belonging. The Noise you create does not have any place in Maslow’s hierarchy of needs. Yet, consumer generated content does.  

Page 9: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Limitless Media Is very different This is over 12 hours per day, across

multiple screens. Tangling up work life, personal life, and everything else together.  

Page 10: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

“A” or “B” How do you manage your email in box?

Page 11: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

“We now disqualify before we qualify”

We are faced with so much content we now disqualify content before we even begin to qualify it. This is a technique we learned on our own (heuristic) and use it as the standard way we now filter large sets of

data.

Page 12: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Our systems Don’t work For every 100 leads an aveerage

company generates they close .7 of them into actual business.

1.5 Forester estimates for every 100 leads a B2B company generates, best in class only converts 1.5 into revenue.

Page 13: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Content product is the largest single item in a marketing budget at 16% of the total budget. This is a result of the modern buyer and the marketer owing 80% of the sales cycle by 2020.  

Massive Inefficiencies

Of content a business creates never gets utilized. 70% - Sirius Decisions

Page 14: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

In their 1993 books “The One to One Future”, Peppers and Rogers state outline the fundamentals of the future of marketing in a personalized way. This book is a must read! PHOTO: Their acceptance into the DMA hall of fame  

One to One

Marketing

“We must operate in realities not abstractions of reality” –Peppers & Rogers

Page 15: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

To derive intelligence we must understand new techniques. Now it’s time to go over the ways in which you can deduce what the customers are actually thinking and use this to provide a true one to one experience across any channel, or device.

Page 16: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Stage Based Theory 01

Content must be made relevant to the buyer at the stage of the lifecycle they are in. This is extremely important for both you and them.

Page 17: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Have you ever been disappointed by content you’ve engaged with from a brand?

71% of them said, “YES”.

We asked 400 B2B buyers the following questions:  

Survey says:

Q

A hWp://www.clickz.com/clickz/column/2349580/71-­‐percent-­‐of-­‐buyers-­‐have-­‐been-­‐disappointed-­‐by-­‐content#  

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How did the negative experience affect your relationship?

25% said they never would engage with the brand again.

We asked those buyers a follow up question:  

Survey says:

Q

A hWp://www.clickz.com/clickz/column/2349580/71-­‐percent-­‐of-­‐buyers-­‐have-­‐been-­‐disappointed-­‐by-­‐content#  

Page 19: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

My First White Paper I wrote my first White Paper in 2007. spent 3

weeks writing a white paper. I tried to answer all buyer questions at once. Create the pain, make you want to solve the pain, and why you should buy from us.

Page 20: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

“A” or “B” How do you down load data?

Page 21: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

“We batch research”

Page 22: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Daily content consumption. Usually is Learn, and Escape. Happens across all media channels. How we engage with Research content.

Batch Research Defined

Read  this:  hWp://www.clickz.com/clickz/column/2285540/new-­‐research-­‐defines-­‐buyers-­‐journey-­‐to-­‐3-­‐steps  

Page 23: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Break it into buyer stages

If you break your white papers up into buyers stages then your white paper is more likely to appeal to a person in a specific stage, it will also then tell you which stage the buyer is in via “Self Selection”.

Page 24: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

How to map Your stages

This data is based on aggregate consumer research. The only way to determine what your buyers need and want is to ask them.

Page 25: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Desirable Content 02

The human desire has shifted over time, yet our marketing practices are still based on the idea of mass publication is valuable to consumers. We must re learn what consumers desire, and what creates a valuable relationship for them.

Page 26: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Nobody Ever Said “I want content”

They decide engage with content to solve goals, they engage with it because

it aligns with their purpose

The worlds best media brands are failing. BBC laid of 500 reporters last year. Gigaom the $22 million dollar backed media brand, who pioneered blogging closed it’s doors after 8 years in 2015. We need to be relationship brands.  

Media

Brands?

Page 27: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Building relationships with consumers inner desires is what we should be focused on

Edward Bernay’s created Public Relations after learning from his

uncle Sigmund Freud the power of the unconscious mind. He create a

new form of strategic marketing which built relationships between

products and consumers inner desires.

Relationships focus on Human Desire

 

Page 28: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Experiences Are Made of

“Content”

Wrote  “Permission  Based  Marke4ng”  in  1999.  The  forward  to  this  book  was  Don  Peppers  who  co-­‐authored  “The  One  to  One  Future”  wriWen  in  1993.  Yet,  most  of  us  just  see  “Content”  as  something  we  create  and  mass  distribute.      

“Our job is to connect with people, and leave them better off than when we found them” - Seth Godin

Page 29: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

More is not influential

There is no correlation between publishing more often and influence the content has with in a persons life, or with the relationship you have with the consumer. The idea of more content is better is a total red herring.  

Page 30: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

“Consumers want honest and

authentic experiences”

-Joseph Pine II

Author of the Experience Economy, Authenticity, & Infinite

Possibilities

Page 31: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

“Consumers want honest and authentic experiences”

-Joseph Pine II

Author of the Experience Economy, Authenticity, & Infinite Possibilities

Page 32: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Path to Purpose

Google research done in 2013 proves it is no longer a linear journey to purchase, but rather helping consumers meet their purpose. When you do you increase purchases by 42%.  

Honest  experiences  help  them  fulfill  their  inner  desires,  and  discover  their  purpose.    

Page 33: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Content is contextual to the moment………

Page 34: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Fight Boredom

PEW research found that 51% of the time a CEO picks up their mobile device because they are BORED. We use the internet to fight boredom. This is the purpose at that time. It can lead to other things via passive discovery.  

Page 35: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Escape !People wanting to escape will lean on self discover and

social channels. They are looking to escape their work, life, job, and take a short break. No barring on sales readiness. However the escape must be an honest, escape. It can not

be contrived by a business, but must be found by the person.

Page 36: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation
Page 37: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Read this article for more on creating humor in your content: http://www.clickz.com/clickz/column/2389218/create-better-content-via-humor

Kronos Case Study Kronos, a workforce

management software company, uses a weekly

comic to engage with their audience. Their comics are

consistently shared on LinkedIn two to 10x more than their corporate blog

posts.

Page 38: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Discover Things

The top 5 websites in the world are all “Search Engines”. We use search engines to discover things, but actively and passively.

Page 39: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Discover!Discovery is one of the greatest gifts of the internet. We

have both passive and active discovery modes.

Active Discovery: Direct searches on the internet Passive Discovery: When you scroll down in Facebook

Page 40: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Self Discovery The highest form of value the internet provides

to a human is self discovery. The instant nature to find what ever, and fulfill any purpose or desire instantly.  

“Mass  Publishing  is  the  lowest  form  of  value  the  internet  provides”  

 -­‐David  Weinberger  (  Co-­‐author  of  Cluetrain  

Manifesto)  

Page 41: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

ActiveDiscovery

Anytime you do a search you are engaging in “Active Discovery” This is when you are looking, seeking, or wanting to find a specific item. “Amazon.com strives to be the e-commerce destination where consumers can find and discover anything they want to buy online.” – Jeff Bezos

Page 42: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

PassiveDiscovery There is value in helping people discover

things. Amazon hires 473 “Data Scientists” to study their conversions, and it’s effect on the customer relationship. If they do something look at why.

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Presence!Is the content which consumers create about themselves to

validate the mediated self they are projecting. Simply engaging with this is fulfilling their purpose, and is

helpful, and does not require you to create more content.

Page 44: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Mediated Self

On average we have 7.4 social channels and project a different self on each one. The value to us is in expressing our being, and having that desire validate by others. The Power of a Like!  

Page 45: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

“When you see people voting up your answer or adding their own replies in real time it makes you realize there’s a good group of people reading your stuff. I don’t get that immediate rush on my blog”

-Robert Scoble, Futurist and Social Media icon

“ “

Page 46: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Modern Media Releases

Dopamine

Causing positive relationships, and a Pavlovian response to engagement.  The  New  York  Times,  called  Dopamine  “The  Molecule  for  Mo;va;on”  in  their  2009  ar4cle  on  neuroscience.  hWp://www.ny4mes.com/2009/10/27/science/27angier.html?_r=0  

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System of Relevance 03

Building a system of relevance is the only way to scale personal relationships and create desirable experiences at scale required across infinite channels.

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Single View Of Customer

Buyers become highly fragmented beings across multiple channels. They are always connected, and always on. The only way to reach them is to know more about them, and understand what it takes to really be relevant to the modern buyer.  

You  no  longer  compete  with  those  in  your  own  industry,  but  rather  the  best  of  those  fields.  Consumer  are  now  comparing  all  experiences  against  each  other  rather  than  against  their  ver4cal.      

Behavioral Data

You  no  longer  compete  with  those  in  your  own  industry,  but  rather  the  best  of  those  fields.  Consumer  are  now  comparing  all  experiences  against  each  other  rather  than  against  their  ver4cal.      

Psychographic Data

Also  combine  with  all  other  internal  data,  created  in  a  CRM.      

Internal CRM Data

Page 49: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Bi-Directional Value

The value you create with dynamic systems provides heightened value to the buyer but also allows you use this data for dynamic and predictive personalization. Facilitating both passive, and active discovery creating value for both consumer and producer.  

Email  

Page 50: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

This Is the old way of thinking about conversion. How do we make content, and drive people to it. Now we take a new approach with dynamic journeys.  

Static Experiences Follow Historical

Logic. Stop it!

Page 51: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Companies using predicative content on average are seeing an increase in revenue by 15% because it help facilitate discovery, and fulfills modern desire.

Predictive Content Dynamic content suggests

the best next piece of content given set algorithms

of most likely engagement.

Owned Experiences Creating customized

experiences also needs to happen both on your

website and via the email content.

+15% Revenue  

Page 52: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Modern buyers will not respond to forced campaigns, and value self discover above all things. Creating a relationship able to support self discovery through out the buying cycle is the only way to drive demand in the future. Customer intelligence is a combination of both observed, asked, and inferred things dynamically put together providing the best experience possible.

Conclusion:  

1)  Experiences must be relevant to the moment. 2)  Moments reveal themselves though both action and data. 3)  You must have a system in place to execute in the moment. 4)  You will not know if you do not ask.

Page 53: Deriving Intelligence from Customer Actions: Data Marketing 2015 presentation

Thank you Mathew  Sweezey  

Principal  of  Marke4ng  Insights,  Salesforce      [email protected]  

@msweezey