Smart Data NewSQL Predictive Analysis Data Moneyball Flow Import
 Marketing Consultants Node.js Touch Mobile Cloud Marketing Math
Regression Analyze Testing Message Production Actionable Insight Analytics 2.0
 Data Scientists Customer Cohorts Multiple Channels ROI Quants CMO
Segments BI Competitive Advantage Strategy Simplify Ease of Use Speed




           Insight & Action: Math Eats Marketing

           NewSQL Predictive Analysis Data Moneyball Flow Import
  Smart Data
 Marketing Consultants Node.js Touch Mobile Cloud Marketing Math
Regression Analyze Testing Message Production Actionable Insight Analytics 2.0
  Data Scientists Customer Cohorts Multiple Channels ROI Quants CMO
  Segments BI Competitive Advantage Strategy   Simplify Ease of Use Speed
The Problem >
#1
Data Sources:
Marketing is being transformed due to the
flood of data. Harnessing that power is still
a problem. Aggregating data ACROSS
channels and technologies is hard.




65%               of Organizations say that integrating
                  multiple data sources is a challenge
                                                              DATA
TOO many channels, too
many data sources




Source: http://blog.neolane.com/conversational-marketing/big-data/
The Problem >
#2 Good Analytics are difficult to get
  > Lack of Human Resources                                            2018 Data Analyst Shortage
     > 140,000-190,000: Shortage by 2018 of people with
     deep analytical skills among US Companies

  > Benefits are tangible, but not always obvious

  > Lack of good, easy cross-channel modeling tools
                                                                                             = 190,000




#3 Turning Insight into Action:                                                     = 1500

  Once you HAVE good analytics, implementing
  and getting to real engagement is hard
  > Turn data into something: Relevant, Timely, Contextual, Personal –
      A fancy dashboard is insufficient

  > Being an expert in each of these channels is impossible


Tools that do all three of these things well and make it simple do not exist

  Source: http://blog.neolane.com/conversational-marketing/big-data/
Why it’s solvable NOW >

           Digital Advertising and Social
          Media have moved beyond hype



           Public acceptance of Analytics
                    and Big Data



             Professional data analysis
             techniques and controlled
           experimentation have matured
Who’s Trying >




Automation                                                                      Optimization
Automation companies are focused
                                                                                Optimization companies improve
on making work easier for
                                                                                the impact of marketing, generally
marketers. This includes
                                                                                in a small number of channels.
dashboards, process automation,
action triggers, integration with   Analysis                                    Speeding up web page delivery,
                                                                                targeting ads, testing
CRM, etc.                           Analysis companies make marketers           infrastructures, etc. all fall under
                                    better by delivering new or better          Optimization.
                                    statistics for them to make decisions on.
                                    Predictive analytics, cross-channel
                                    metrics, numbers, numbers, numbers.
Why we're the ones to solve it >
               Chris Lundberg                                   April Pedersen
               Co-Founder, CEO                                  Co-Founder
               Geek with People Skills. I build                 Social Entrepreneur addicted to
               highly scalable technology that                  helping people figure out how to
               people actually need to do their                 use technology for meaningful
               jobs better and scalable                         engagement. Leader, organizer,
               companies to support them.                       marketer, rabble rouser.




We are :    Experienced Tech & Social Entrepreneurs who enjoy major
disruption in industries & helping groups grow and better engage with their
audiences.
We're all about the Action.

Together we have :



 Founded and ran $9M SaaS CRM and                 Founded and ran nonprofit SaaS to
 Communications Platform with 2000                make technology accessible to
 clients and 70 staff.                            small and mid-sized charities.
The Technology We're Building >
Our working prototype includes :
1) Data, Data, Data: We've built a number of wicked fast Extract/Transform/
Load libraries to ingest millions of records from a number of different sources, identify
them to the person, and pull out transaction details. In seconds.


2) Segment and Prediction engine: Using combinations of column store
DB's(Redshift), object stores (MongoDB), and modeling (custom), we can slice and dice
the data in thousands of ways, run prediction models, and expose them via an API.



                                           3) Interface: The interface layer
                                           delivers results from the engine API via
                                           Node.js to desktops, tablets, and
                                           touchscreens, producing interactive
                                           timelines and charts, as well as
                                           producing and managing full
                                           campaigns across a number of different
                                           channels.
The Tech Stack >
           API


Channels




                 Amazon Redshift
                  Warehouse


       3rd
      Party                    Prediction
    DATA                                    Statistics

                              Modeling
The Company We're Building >
Focus over the next 6-12 months:
Build out team of 5-7 and working with our "Gamma" cohort of
clients to test & build on our prototype



Target Market:
CMO's, consultants, agencies serving companies with:
  > $1M marketing budget
  > Marketing across min 4 channels
  > Smart Analytics/Data folks w /ability to recognize ROI


Build Brand:
Geeks solving Marketing/Engagement problems
with a simple, elegant solutions
The Investors We Want >
Goal:
Raise just enough seed money ($750K) to build an elite
team for 6-12 months of work with a small cohort of
clients to build the product and ensure relevance




We want investors who:
        Are founder-centric
        Believe in the importance of a tech CEO
        Interested in helping us build a strong network
        Believes in iterative development of product & company
        Can provide industry advice when necessary
        Believes the product is only as good as the clients it has
Insight & Action: Math Eats Marketing

  www.frakture.com      info@frakture.com


  angel.co/frakture     twitter.com/fraktureinc

Frakture Deck

  • 1.
    Smart Data NewSQLPredictive Analysis Data Moneyball Flow Import Marketing Consultants Node.js Touch Mobile Cloud Marketing Math Regression Analyze Testing Message Production Actionable Insight Analytics 2.0 Data Scientists Customer Cohorts Multiple Channels ROI Quants CMO Segments BI Competitive Advantage Strategy Simplify Ease of Use Speed Insight & Action: Math Eats Marketing NewSQL Predictive Analysis Data Moneyball Flow Import Smart Data Marketing Consultants Node.js Touch Mobile Cloud Marketing Math Regression Analyze Testing Message Production Actionable Insight Analytics 2.0 Data Scientists Customer Cohorts Multiple Channels ROI Quants CMO Segments BI Competitive Advantage Strategy Simplify Ease of Use Speed
  • 2.
    The Problem > #1 DataSources: Marketing is being transformed due to the flood of data. Harnessing that power is still a problem. Aggregating data ACROSS channels and technologies is hard. 65% of Organizations say that integrating multiple data sources is a challenge DATA TOO many channels, too many data sources Source: http://blog.neolane.com/conversational-marketing/big-data/
  • 3.
    The Problem > #2Good Analytics are difficult to get > Lack of Human Resources 2018 Data Analyst Shortage > 140,000-190,000: Shortage by 2018 of people with deep analytical skills among US Companies > Benefits are tangible, but not always obvious > Lack of good, easy cross-channel modeling tools = 190,000 #3 Turning Insight into Action: = 1500 Once you HAVE good analytics, implementing and getting to real engagement is hard > Turn data into something: Relevant, Timely, Contextual, Personal – A fancy dashboard is insufficient > Being an expert in each of these channels is impossible Tools that do all three of these things well and make it simple do not exist Source: http://blog.neolane.com/conversational-marketing/big-data/
  • 4.
    Why it’s solvableNOW > Digital Advertising and Social Media have moved beyond hype Public acceptance of Analytics and Big Data Professional data analysis techniques and controlled experimentation have matured
  • 5.
    Who’s Trying > Automation Optimization Automation companies are focused Optimization companies improve on making work easier for the impact of marketing, generally marketers. This includes in a small number of channels. dashboards, process automation, action triggers, integration with Analysis Speeding up web page delivery, targeting ads, testing CRM, etc. Analysis companies make marketers infrastructures, etc. all fall under better by delivering new or better Optimization. statistics for them to make decisions on. Predictive analytics, cross-channel metrics, numbers, numbers, numbers.
  • 6.
    Why we're theones to solve it > Chris Lundberg April Pedersen Co-Founder, CEO Co-Founder Geek with People Skills. I build Social Entrepreneur addicted to highly scalable technology that helping people figure out how to people actually need to do their use technology for meaningful jobs better and scalable engagement. Leader, organizer, companies to support them. marketer, rabble rouser. We are : Experienced Tech & Social Entrepreneurs who enjoy major disruption in industries & helping groups grow and better engage with their audiences. We're all about the Action. Together we have : Founded and ran $9M SaaS CRM and Founded and ran nonprofit SaaS to Communications Platform with 2000 make technology accessible to clients and 70 staff. small and mid-sized charities.
  • 7.
    The Technology We'reBuilding > Our working prototype includes : 1) Data, Data, Data: We've built a number of wicked fast Extract/Transform/ Load libraries to ingest millions of records from a number of different sources, identify them to the person, and pull out transaction details. In seconds. 2) Segment and Prediction engine: Using combinations of column store DB's(Redshift), object stores (MongoDB), and modeling (custom), we can slice and dice the data in thousands of ways, run prediction models, and expose them via an API. 3) Interface: The interface layer delivers results from the engine API via Node.js to desktops, tablets, and touchscreens, producing interactive timelines and charts, as well as producing and managing full campaigns across a number of different channels.
  • 8.
    The Tech Stack> API Channels Amazon Redshift Warehouse 3rd Party Prediction DATA Statistics Modeling
  • 9.
    The Company We'reBuilding > Focus over the next 6-12 months: Build out team of 5-7 and working with our "Gamma" cohort of clients to test & build on our prototype Target Market: CMO's, consultants, agencies serving companies with: > $1M marketing budget > Marketing across min 4 channels > Smart Analytics/Data folks w /ability to recognize ROI Build Brand: Geeks solving Marketing/Engagement problems with a simple, elegant solutions
  • 10.
    The Investors WeWant > Goal: Raise just enough seed money ($750K) to build an elite team for 6-12 months of work with a small cohort of clients to build the product and ensure relevance We want investors who: Are founder-centric Believe in the importance of a tech CEO Interested in helping us build a strong network Believes in iterative development of product & company Can provide industry advice when necessary Believes the product is only as good as the clients it has
  • 11.
    Insight & Action:Math Eats Marketing www.frakture.com info@frakture.com angel.co/frakture twitter.com/fraktureinc