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