Frakture Deck
Post on 20-Jan-2015
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Insight & Action: Math Eats Marketing
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
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
65% of Organizations say that integrating
multiple data sources is a challenge
The Problem >
DATA
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.
Data Sources:
TOO many channels, too many data sources
#1
The Problem >
Source: http://blog.neolane.com/conversational-marketing/big-data/
> Lack of Human Resources > 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
Good analytics are difficult to get
> Turn data into something: Relevant, Timely, Contextual, Personal – A fancy dashboard is insufficient
> Being an expert in each of these channels is impossible
Turning insight into actionOnce you HAVE good analytics, implementingand getting to real engagement is hard
= 1500
= 190,000
2018 Data Analyst Shortage
#2
#3
Tools that do all three of these things well and make it simple do not exist
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
Why it’s solvable NOW >
Who’s Trying >
Automation companies are focused on making work easier for marketers. This includes dashboards, process automation, action triggers, integration with CRM, etc.
Automation
Analysis companies make marketers better by delivering new or better statistics for them to make decisions on. Predictive analytics, cross-channel metrics, numbers, numbers, numbers.
AnalysisOptimization companies improve the impact of marketing, generally in a small number of channels. Speeding up web page delivery, targeting ads, testing infrastructures, etc. all fall under Optimization.
Optimization
Why we're the ones to solve it >Chris LundbergCo-Founder, CEOGeek with People Skills. I build highly scalable technology that people actually need to do their jobs better and scalable companies to support them.
April PedersenCo-FounderSocial Entrepreneur addicted to helping people figure out how to use technology for meaningful engagement. Leader, organizer, marketer, rabble rouser.
Together we have :
Founded and ran $9M SaaS CRM and Communications Platform with 2000 clients and 70 staff.
Founded and ran nonprofit SaaS to make technology accessible to small and mid-sized charities.
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.
The Technology We're Building >
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.
Our working prototype includes :
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 >
Channels
API
3rd PartyDATA
Amazon RedshiftWarehouse
PredictionStatistics
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 solution
The Investors We Want >
Goal:
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
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
Insight & Action: Math Eats Marketing
www.frakture.com info@frakture.com
angel.co/frakture twitter.com/fraktureinc
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