Frakture: Math Eats Marketing intro deck

1. 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

2. 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

3. 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/

4. 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

5. Who’s Trying >
Automation Optimization
Automation companies are focused Optimization companies improve the
on making work easier for marketers. impact of marketing, generally in a
This includes dashboards, process
automation, action triggers,
Analysis small number of channels. Speeding
up web page delivery, targeting ads,
integration with CRM, etc. Analysis companies make marketers testing infrastructures, etc. all fall
better by delivering new or better under Optimization.
statistics for them to make decisions on.
Predictive analytics, cross-channel metrics,
numbers, numbers, numbers.

6. 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 small
clients and 70 staff. and mid-sized charities.

7. 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.

8. The Tech Stack >
API
Channels
Amazon Redshift
Warehouse
3rd Party
Prediction
DATA Statistics
Modeling

9. 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 solution

10. 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
Believe in iterative development of product & company
Can provide industry advice when necessary
Believe 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