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BUILDING YOUR
OUTREACH
MACHINE
MICHAEL KING
MANAGING DIRECTOR, IPULLRANK
@IPULLRANK
DOWNLOAD THESE SLIDES
http://bit.ly/outreach-machine
IPULLRANK.COM @ IPULLRANKfdsjkalgdsj
Link Building Outreach is a Scale Problem
IPULLRANK.COM @ IPULLRANK
It Takes a Great Deal of Effort
Dsfdskl;dfas
IPULLRANK.COM @ IPULLRANK
People That Are Great At it Evolve Out Quickly
fdsafdlskfds
IPULLRANK.COM @ IPULLRANK
So it’s Mostly Done by Junior Staff
Google and Clients Leave You Between a Rock and Hard Place
Clients want links NOW, but don’t have anything link-worthy. Go...
Naturally, I have some
thoughts on this..
You Don’t Need New Tactics…
But if youwant some here goes…
IPULLRANK.COM @ IPULLRANK
We Only Use Two Outreach Tools
Depending onthe type of outreachwe need to dowe use either Pitchb...
IPULLRANK.COM @ IPULLRANK
The Value of Pitchbox
Pitchbox value comes in the ability to do prospecting, manage outreach and...
IPULLRANK.COM @ IPULLRANK
Form Letters in Pitchbox
Pitchbox also allows youto dobuild form letters that are personalized b...
IPULLRANK.COM @ IPULLRANK
Separation of Concerns
This person runs queries
and traverses the web
identifying websites for
o...
IPULLRANK.COM @ IPULLRANK
BuzzStream
IPULLRANK.COM @ IPULLRANK
The BuzzMarker is Fire
Using the BuzzStream’s BuzzMarker plugin is super useful for quickly capt...
IPULLRANK.COM @ IPULLRANK
Tactic – Reach Out About Most Popular Content
Use Buzzsumo to identify the most popular post on ...
IPULLRANK.COM @ IPULLRANK
Persona-based Outreach
Persona-driven outreach can help you in prospecting and in developing for...
IPULLRANK.COM @ IPULLRANK
Video Outreach with BombBomb
Perform video outreach to which has inherent proof that you are an ...
IPULLRANK.COM @ IPULLRANK
Credit Requests
Reach out to anyone that uses your photos or excerpts of your text and request a...
IPULLRANK.COM @ IPULLRANK
Vendor Case Studies
Identify what vendors your site or client is usingwith BuiltWith andreach ou...
IPULLRANK.COM @ IPULLRANK
Brand Fans
Find link building quick hits by pulling twitter followers using SimplyMeasured or Fo...
IPULLRANK.COM @ IPULLRANK
Brand Fan Issues
One issue with using OpenSiteExplorerfor this is thatyou can’t exportALL of you...
IPULLRANK.COM @ IPULLRANK
Brand Fans Fixes
Step 2
Use my simple ExpandURL tool with the
SEOTools DownloadString function.
...
IPULLRANK.COM @ IPULLRANK
You Don‘t Need More Tactics
Jon Cooper (@PointBlankSEO) has put together the most robust resourc...
More so than tactics, you need
to establish a baseline of
requirements and figure out
how to scale.
IPULLRANK.COM @ IPULLRANK
We Say What We Don’t Do
IPULLRANK.COM @ IPULLRANK
We Specify Requirements
Varied and Integrated Tactics
Most clients want to pin you down into
one...
Outreach and link building
are exactly like sales
though.
IPULLRANK.COM @ IPULLRANK
John-Henry Said it Best
https://moz.com/blog/link-prospectors-into-lead-generators
IPULLRANK.COM @ IPULLRANK
We Build a Funnel
IPULLRANK.COM @ IPULLRANK
We Optimize the Funnel
IPULLRANK.COM @ IPULLRANK
We Bonus Our Outreach Team Like Salespeople
Ultimately though, outreach is
a problem of scale.
Enter Machine Learning
The Core Concepts
IPULLRANK.COM @ IPULLRANK
They Are Not the Same Thing
You often hear these terms conflated by the media
Machine learning is all
about addressing scale
problems.
IPULLRANK.COM @ IPULLRANK
AI is Comprised of Many Disciplines
Deep Learning is a subset of Machine Learning is a subset of...
IPULLRANK.COM @ IPULLRANK
Improved Google Translate from Scratch in 2 Months
A team rebuilt the broken Google Translate us...
Ok. So, What Is Machine Learning?
“Machine learning is a type of artificial
intelligence that provides computers with
the ...
It’s Really Just Using Math to Guess and Check
IPULLRANK.COM @ IPULLRANK
Supervised Learning
The machine looks for patterns that match the labeled data that you provide ...
IPULLRANK.COM @ IPULLRANK
Unsupervised Learning
The machine identifies patterns in the data and creates clusters based on ...
IPULLRANK.COM @ IPULLRANK
Reinforcement Learning
With reinforcement learning, the model is continually trained based on ne...
IPULLRANK.COM @ IPULLRANK
The Machine Learning
Process
GET & PREPARE
YOUR DATA
You identifyand clean
your dataset in
prepa...
IPULLRANK.COM @ IPULLRANK
This is an example of how you could
predict the demand of cars for a car
rental company. It foll...
IPULLRANK.COM @ IPULLRANK
AI Is Gonna Steal Your Job?
One of the more common fears of middle America around the idea of ar...
IPULLRANK.COM @ IPULLRANK
Obama Had Some
Measured Thoughts On
His Way Out
So what part of this is
relevant to outreach?
IPULLRANK.COM @ IPULLRANK
Supervised or Unsupervised Segmentation
IPULLRANK.COM @ IPULLRANK
Predictive Modeling
IPULLRANK.COM @ IPULLRANK
Natural Language Processing
IPULLRANK.COM @ IPULLRANK
Chatbots
IPULLRANK.COM @ IPULLRANK
Training Chatbots
Training chatbots is
similar to training
ML classifiers in that
you take a
kno...
Models
Typesof Models when you shouldUse Them
IPULLRANK.COM @ IPULLRANK
There are Tons of
Different Models
Your best bet is to test and learn.
IPULLRANK.COM @ IPULLRANK
Seriously Tonnnnnns
IPULLRANK.COM @ IPULLRANK
The Uses of Each Type
Are Difficult to
Memorize
IPULLRANK.COM @ IPULLRANK
Models & Use Cases
Random Forest
Lead Qualification
Logistic Regression
Customer Churn
Predictio...
IPULLRANK.COM @ IPULLRANK
Models & Use Cases
(Cont’d)
Support Vector
Machines
Text Categorization
Apriori
Market Basket An...
IPULLRANK.COM @ IPULLRANK
K-Fold Cross Validation
Try out a model and validate it using k-fold cross validation.
IPULLRANK.COM @ IPULLRANK
K-Fold Cross Validation is a Guess and Check
Try out a model and validate it using k-fold cross ...
IPULLRANK.COM @ IPULLRANK
How to Choose a Machine
Learning Model
https://docs.microsoft.com/en-us/azure/machine-learning/m...
IPULLRANK.COM @ IPULLRANK
How to Use this for Outreach
Scaling the unscalable
IPULLRANK.COM @ IPULLRANK
Sales Software Has Solved Many of Outreach’s Scale Issues
IPULLRANK.COM @ IPULLRANK
Lead Qualification / Scoring
IPULLRANK.COM @ IPULLRANK
Close Prediction
IPULLRANK.COM @ IPULLRANK
Prospecting
IPULLRANK.COM @ IPULLRANK
Lead Intelligence
If outreach is like sales and many sales
tools have solved this, how can we
apply the same to outreach?
IPULLRANK.COM @ IPULLRANKMost machine learning is done inR or Python, but those are programming languages, but you’re mark...
IPULLRANK.COM @ IPULLRANK
3 Things Machine Learning Can Help Scale in Outreach
Prospecting
Overcoming
Objections
Initial
O...
IPULLRANK.COM @ IPULLRANK
Orange Canvas is a Visual Machine Learning Tool
https://orange.biolab.si
IPULLRANK.COM @ IPULLRANK
It Allows You to Drag & Drop and Perform Analyses
We’re going to perform supervised
machine learning to predict which sites
are worthwhile prospects based on our
previous r...
IPULLRANK.COM @ IPULLRANK
Collect, Clean and Setup Whatever Data You Have
If it’s a prospect you used, mark it as a , if i...
IPULLRANK.COM @ IPULLRANK
Import Your Data
Specify the column where you have
marked a site/page as approved as
your target...
IPULLRANK.COM @ IPULLRANK
Take Your Prospect Lists and Data
https://www.tools4noobs.com/summarize/
IPULLRANK.COM @ IPULLRANK
Use the Model that Performed Best to Predict
IPULLRANK.COM @ IPULLRANK
The Output is a Segmented Prospect List
Tada!
IPULLRANK.COM @ IPULLRANK
Research – CrystalKnows
This tool is an example of user segmentation based on social media data ...
IPULLRANK.COM @ IPULLRANK
Research – PeoplePattern
People Pattern is an enterprise tool that accomplishes similar goals, b...
IPULLRANK.COM @ IPULLRANK
Research – Text Summarization Tool
https://www.tools4noobs.com/summarize/
IPULLRANK.COM @ IPULLRANK
Improve My BuzzSumo Tactic
Scale the tactic of reading the prospect’s most popular post using te...
IPULLRANK.COM @ IPULLRANK
Automate Overcoming Objections with an Email Chatbot
http://blog.mila.com/en/2016/08/23/how-chat...
IPULLRANK.COM @ IPULLRANK
Generate your Chatbot with API.AI
http://api.ai
IPULLRANK.COM @ IPULLRANK
Setup your Responses with Key Variables
Based on what the user mightsay in their response to you...
IPULLRANK.COM @ IPULLRANK
Connect Your Bot to Email Using Zapier
You can avoid the coding element by setting up a trigger ...
These are all relatively simple to do,
but if you want some help…
IPULLRANK.COM @ IPULLRANK
Codementor
IPULLRANK.COM @ IPULLRANK
Experfy
IPULLRANK.COM @ IPULLRANK
Kaggle
Final Thought
Machines are not going to replace humans at
outreach, but there are certain components of
the busywork that ...
Wrapping Up
Who amI and where am Ifrom?
IPULLRANK.COM @ IPULLRANK
I’M #ZORASDAD
First and foremost.
IPULLRANK.COM @ IPULLRANK
MY NAME IS MIKE
KING
Razorfish, Publicis Modem alum
Full Stack Developer
Full Stack Marketer
Moz...
IPULLRANK.COM @ IPULLRANK
I Run a Better
Marketing Agency
Called iPullRank
IPULLRANK.COM @ IPULLRANK
We Do These Things
Machine
Learning
SEOContent
Strategy
Paid Media Measurement
&
Optimization
Ma...
THAT’S ALL I’VE GOT
IPULLRANK
http://ipullrank.com
THANK YOU
Michael King
Managing Director
mike@ipullrank.com
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Building your outreach machine

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Mike King's talk on how to use machine learning to skill your outreach effort.

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Building your outreach machine

  1. 1. BUILDING YOUR OUTREACH MACHINE MICHAEL KING MANAGING DIRECTOR, IPULLRANK @IPULLRANK
  2. 2. DOWNLOAD THESE SLIDES http://bit.ly/outreach-machine
  3. 3. IPULLRANK.COM @ IPULLRANKfdsjkalgdsj Link Building Outreach is a Scale Problem
  4. 4. IPULLRANK.COM @ IPULLRANK It Takes a Great Deal of Effort Dsfdskl;dfas
  5. 5. IPULLRANK.COM @ IPULLRANK People That Are Great At it Evolve Out Quickly fdsafdlskfds
  6. 6. IPULLRANK.COM @ IPULLRANK So it’s Mostly Done by Junior Staff
  7. 7. Google and Clients Leave You Between a Rock and Hard Place Clients want links NOW, but don’t have anything link-worthy. Google wants great content
  8. 8. Naturally, I have some thoughts on this..
  9. 9. You Don’t Need New Tactics… But if youwant some here goes…
  10. 10. IPULLRANK.COM @ IPULLRANK We Only Use Two Outreach Tools Depending onthe type of outreachwe need to dowe use either Pitchbox or BuzzStream. Pitchbox for the more process driven scaledoutreach and BuzzStream for the more relationship drivenPR outreach.
  11. 11. IPULLRANK.COM @ IPULLRANK The Value of Pitchbox Pitchbox value comes in the ability to do prospecting, manage outreach and have analytics on outreach projects all in one place.
  12. 12. IPULLRANK.COM @ IPULLRANK Form Letters in Pitchbox Pitchbox also allows youto dobuild form letters that are personalized by members the teamwhose specific user role is just to personalize. These can be reviewedbefore they are sent out.
  13. 13. IPULLRANK.COM @ IPULLRANK Separation of Concerns This person runs queries and traverses the web identifying websites for outreach. ONE Prospector This person reviews the sites and inputs features for personalization of form letters. TWO Personalizer This person writes form letters, approves initial outreach personalization and responses to responses THREE Outreach Specialist Pitchbox allows you the effectively turn yourlink building effortsinto a processor an assembly linewith veryfew people that specialize.You can effectivelysend thousandsof firsttouch emails per week.
  14. 14. IPULLRANK.COM @ IPULLRANK BuzzStream
  15. 15. IPULLRANK.COM @ IPULLRANK The BuzzMarker is Fire Using the BuzzStream’s BuzzMarker plugin is super useful for quickly capturing prospects in freeform as well. http://www.buzzstream.com/blog/buzzmarker-for-chrome.html
  16. 16. IPULLRANK.COM @ IPULLRANK Tactic – Reach Out About Most Popular Content Use Buzzsumo to identify the most popular post on a domain and use that in your email because it’s natural that someone would reach out to talk about something people are already sharing. http://www.buzzsumo.com
  17. 17. IPULLRANK.COM @ IPULLRANK Persona-based Outreach Persona-driven outreach can help you in prospecting and in developing form letters that will perform. Check out this post by Justin Briggs http://outspokenmedia.com/seo/content-based-outreach-for-link -building/ and my Whiteboard Friday http://moz.com/blog/scalable-link-building- using-social-media-whiteboard-friday
  18. 18. IPULLRANK.COM @ IPULLRANK Video Outreach with BombBomb Perform video outreach to which has inherent proof that you are an actual person rather than just a spammer. Use Bomb Bomb https://bombbomb.com/
  19. 19. IPULLRANK.COM @ IPULLRANK Credit Requests Reach out to anyone that uses your photos or excerpts of your text and request a link back as a credit. Use Copyscape, Google, Google Reverse Image Search
  20. 20. IPULLRANK.COM @ IPULLRANK Vendor Case Studies Identify what vendors your site or client is usingwith BuiltWith andreach out to the those companies to doa case study or give a testimonial to get a link back. http://www.builtwith.com
  21. 21. IPULLRANK.COM @ IPULLRANK Brand Fans Find link building quick hits by pulling twitter followers using SimplyMeasured or FollowerWonk and comparing themto the link profile with Majestic, OpenSiteExplorer or Ahrefs.
  22. 22. IPULLRANK.COM @ IPULLRANK Brand Fan Issues One issue with using OpenSiteExplorerfor this is thatyou can’t exportALL of your links.An issue with the Twitterexportis the shortened links.
  23. 23. IPULLRANK.COM @ IPULLRANK Brand Fans Fixes Step 2 Use my simple ExpandURL tool with the SEOTools DownloadString function. Step 1 Download SEOTools for Excel by Neils Bosma http://nielsbosma.se/projects/seotools/ =DownloadString(“http://www.ipullrank.com/tools/expandurl/?u rl=[INSERT SHORTENED URL HERE]”)
  24. 24. IPULLRANK.COM @ IPULLRANK You Don‘t Need More Tactics Jon Cooper (@PointBlankSEO) has put together the most robust resource for link buildingtactics out there. Youdon’t need any more tactics. http://pointblankseo.com/link-building-strategies
  25. 25. More so than tactics, you need to establish a baseline of requirements and figure out how to scale.
  26. 26. IPULLRANK.COM @ IPULLRANK We Say What We Don’t Do
  27. 27. IPULLRANK.COM @ IPULLRANK We Specify Requirements Varied and Integrated Tactics Most clients want to pin you down into one or two tactics that live completely outside of their marketing efforts. We demand the opposite and won’t do outreach without strong content. Branded Email Address Outreach on behalf of a brand is always more effective when coming from the a branded email. Visibility into analytics I’ve found that link building only clients generally don’t like to sharetheir analytics. This is unacceptable as we need to determine business impact of our efforts.
  28. 28. Outreach and link building are exactly like sales though.
  29. 29. IPULLRANK.COM @ IPULLRANK John-Henry Said it Best https://moz.com/blog/link-prospectors-into-lead-generators
  30. 30. IPULLRANK.COM @ IPULLRANK We Build a Funnel
  31. 31. IPULLRANK.COM @ IPULLRANK We Optimize the Funnel
  32. 32. IPULLRANK.COM @ IPULLRANK We Bonus Our Outreach Team Like Salespeople
  33. 33. Ultimately though, outreach is a problem of scale.
  34. 34. Enter Machine Learning The Core Concepts
  35. 35. IPULLRANK.COM @ IPULLRANK They Are Not the Same Thing You often hear these terms conflated by the media
  36. 36. Machine learning is all about addressing scale problems.
  37. 37. IPULLRANK.COM @ IPULLRANK AI is Comprised of Many Disciplines Deep Learning is a subset of Machine Learning is a subset of Artificial Intelligence. AI many branches of which machine learning is a core branch that we can execute.
  38. 38. IPULLRANK.COM @ IPULLRANK Improved Google Translate from Scratch in 2 Months A team rebuilt the broken Google Translate using Machine Learning and within 2 months it was already as good as the version that had taken years to build.
  39. 39. Ok. So, What Is Machine Learning? “Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.”
  40. 40. It’s Really Just Using Math to Guess and Check
  41. 41. IPULLRANK.COM @ IPULLRANK Supervised Learning The machine looks for patterns that match the labeled data that you provide and classifies new data based on that.
  42. 42. IPULLRANK.COM @ IPULLRANK Unsupervised Learning The machine identifies patterns in the data and creates clusters based on what it finds.
  43. 43. IPULLRANK.COM @ IPULLRANK Reinforcement Learning With reinforcement learning, the model is continually trained based on new data thereby improving the classifier’s ability to perform.
  44. 44. IPULLRANK.COM @ IPULLRANK The Machine Learning Process GET & PREPARE YOUR DATA You identifyand clean your dataset in preparationfor solving the machine learning problem CHOOSE YOUR MODEL TRAIN YOUR CLASSIFIER You chose the algorithmor model that you believe will yield the best results then run it in order to trainyour classifier. SCORE AND EVALUATE You score the accuracy and precision of the classifier and test it against other algorithmsto see what performs best. PREDICT OR IDENTIFY OUTCOMES Once you are happy withthe results, you use the classifier moving forwardto make conclusions about new data.
  45. 45. IPULLRANK.COM @ IPULLRANK This is an example of how you could predict the demand of cars for a car rental company. It follows the same framework. Car Rental Example
  46. 46. IPULLRANK.COM @ IPULLRANK AI Is Gonna Steal Your Job? One of the more common fears of middle America around the idea of artificial intelligence is that robots will replace humans in their jobs.
  47. 47. IPULLRANK.COM @ IPULLRANK Obama Had Some Measured Thoughts On His Way Out
  48. 48. So what part of this is relevant to outreach?
  49. 49. IPULLRANK.COM @ IPULLRANK Supervised or Unsupervised Segmentation
  50. 50. IPULLRANK.COM @ IPULLRANK Predictive Modeling
  51. 51. IPULLRANK.COM @ IPULLRANK Natural Language Processing
  52. 52. IPULLRANK.COM @ IPULLRANK Chatbots
  53. 53. IPULLRANK.COM @ IPULLRANK Training Chatbots Training chatbots is similar to training ML classifiers in that you take a knowledge base and run it through NLP then tune it with regard to conversations.
  54. 54. Models Typesof Models when you shouldUse Them
  55. 55. IPULLRANK.COM @ IPULLRANK There are Tons of Different Models Your best bet is to test and learn.
  56. 56. IPULLRANK.COM @ IPULLRANK Seriously Tonnnnnns
  57. 57. IPULLRANK.COM @ IPULLRANK The Uses of Each Type Are Difficult to Memorize
  58. 58. IPULLRANK.COM @ IPULLRANK Models & Use Cases Random Forest Lead Qualification Logistic Regression Customer Churn Prediction Decision Trees Customer Churn Prediction
  59. 59. IPULLRANK.COM @ IPULLRANK Models & Use Cases (Cont’d) Support Vector Machines Text Categorization Apriori Market Basket Analysis (Amazon) Naïve Bayes Sentiment Analysis Recommendation Systems Spam Classification
  60. 60. IPULLRANK.COM @ IPULLRANK K-Fold Cross Validation Try out a model and validate it using k-fold cross validation.
  61. 61. IPULLRANK.COM @ IPULLRANK K-Fold Cross Validation is a Guess and Check Try out a model and validate it using k-fold cross validation.
  62. 62. IPULLRANK.COM @ IPULLRANK How to Choose a Machine Learning Model https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-choice
  63. 63. IPULLRANK.COM @ IPULLRANK
  64. 64. How to Use this for Outreach Scaling the unscalable
  65. 65. IPULLRANK.COM @ IPULLRANK Sales Software Has Solved Many of Outreach’s Scale Issues
  66. 66. IPULLRANK.COM @ IPULLRANK Lead Qualification / Scoring
  67. 67. IPULLRANK.COM @ IPULLRANK Close Prediction
  68. 68. IPULLRANK.COM @ IPULLRANK Prospecting
  69. 69. IPULLRANK.COM @ IPULLRANK Lead Intelligence
  70. 70. If outreach is like sales and many sales tools have solved this, how can we apply the same to outreach?
  71. 71. IPULLRANK.COM @ IPULLRANKMost machine learning is done inR or Python, but those are programming languages, but you’re marketers so let’s figure out some things youcan use without too muchcoding.
  72. 72. IPULLRANK.COM @ IPULLRANK 3 Things Machine Learning Can Help Scale in Outreach Prospecting Overcoming Objections Initial Outreach Research
  73. 73. IPULLRANK.COM @ IPULLRANK Orange Canvas is a Visual Machine Learning Tool https://orange.biolab.si
  74. 74. IPULLRANK.COM @ IPULLRANK It Allows You to Drag & Drop and Perform Analyses
  75. 75. We’re going to perform supervised machine learning to predict which sites are worthwhile prospects based on our previous research.
  76. 76. IPULLRANK.COM @ IPULLRANK Collect, Clean and Setup Whatever Data You Have If it’s a prospect you used, mark it as a , if it was disapproved, mark it as a 0. If there are rows that are missing data remove them.
  77. 77. IPULLRANK.COM @ IPULLRANK Import Your Data Specify the column where you have marked a site/page as approved as your target attribute. Skip any text- based attributes.
  78. 78. IPULLRANK.COM @ IPULLRANK Take Your Prospect Lists and Data https://www.tools4noobs.com/summarize/
  79. 79. IPULLRANK.COM @ IPULLRANK Use the Model that Performed Best to Predict
  80. 80. IPULLRANK.COM @ IPULLRANK The Output is a Segmented Prospect List Tada!
  81. 81. IPULLRANK.COM @ IPULLRANK Research – CrystalKnows This tool is an example of user segmentation based on social media data http://www.crystalknows.com
  82. 82. IPULLRANK.COM @ IPULLRANK Research – PeoplePattern People Pattern is an enterprise tool that accomplishes similar goals, but could allow you to segment outreach targets https://www.peoplepattern.com/
  83. 83. IPULLRANK.COM @ IPULLRANK Research – Text Summarization Tool https://www.tools4noobs.com/summarize/
  84. 84. IPULLRANK.COM @ IPULLRANK Improve My BuzzSumo Tactic Scale the tactic of reading the prospect’s most popular post using text summarization.
  85. 85. IPULLRANK.COM @ IPULLRANK Automate Overcoming Objections with an Email Chatbot http://blog.mila.com/en/2016/08/23/how-chatbots-and-ai-create-email-auto-replies-with-intelligent-answers/
  86. 86. IPULLRANK.COM @ IPULLRANK Generate your Chatbot with API.AI http://api.ai
  87. 87. IPULLRANK.COM @ IPULLRANK Setup your Responses with Key Variables Based on what the user mightsay in their response to you, setup your own responses and use variables so those responses are contextual and logical. The botwill continue to learn based on the emails itgets.
  88. 88. IPULLRANK.COM @ IPULLRANK Connect Your Bot to Email Using Zapier You can avoid the coding element by setting up a trigger in Gmail for newemail, connecting to the API with the POSTaction and sending an email once theresponse is returned
  89. 89. These are all relatively simple to do, but if you want some help…
  90. 90. IPULLRANK.COM @ IPULLRANK Codementor
  91. 91. IPULLRANK.COM @ IPULLRANK Experfy
  92. 92. IPULLRANK.COM @ IPULLRANK Kaggle
  93. 93. Final Thought Machines are not going to replace humans at outreach, but there are certain components of the busywork that we can train it to do wellto help us scale.
  94. 94. Wrapping Up Who amI and where am Ifrom?
  95. 95. IPULLRANK.COM @ IPULLRANK I’M #ZORASDAD First and foremost.
  96. 96. IPULLRANK.COM @ IPULLRANK MY NAME IS MIKE KING Razorfish, Publicis Modem alum Full Stack Developer Full Stack Marketer Moz Associate
  97. 97. IPULLRANK.COM @ IPULLRANK I Run a Better Marketing Agency Called iPullRank
  98. 98. IPULLRANK.COM @ IPULLRANK We Do These Things Machine Learning SEOContent Strategy Paid Media Measurement & Optimization Marketing Automation
  99. 99. THAT’S ALL I’VE GOT
  100. 100. IPULLRANK http://ipullrank.com THANK YOU Michael King Managing Director mike@ipullrank.com

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