Pitch DeckGPredictiveNext 2015

The Pitch

We make sure thatevery marketing dollar is spent efficiently.

The Problem

Most marketing mixes are inefficient→ Companies fail to identify those customers that will purchase due to the contact

○ Simple rules or heuristics are used to manage customer interaction○ Companies lose substantial fractions of their budgets on inefficient activities

→ Companies fail to implement more powerful technology like predictive analytics

We solve the Problem

We compute predictive conversion ratesWe “say” on the individual customer level what the probability of purchase will be.

Every interaction leverages the full potentialCustomers are only included in a campaign if individual ROI is positive

Perfect marketing mixThis applies across customers segments, instruments, and products

It is as easy as checking stock prices - and it’s fun!

Creating your next campaign – it‘s as easy as thisYou are all set within minutes

Just fill in some basic information - the software will do the rest▪ Computation of the probabilties of purchase▪ Optimizing the selection

Know in advance what your revenues will be

Make sure your marketing mix is profit maximizing

Know your sweet spot before you spent the money

Total Addressable Market€ 6.7 billion worldwide (~200.000 companies)

Approach• bottom-up analysis of US census data• 5 Sectors only: Wholesale, Retail, Finance,

Entertainment & Recreation, Accomodation• Only a certain pattern of companies suitable• ACV discrimination range $20k - $72k• Focus on mid-sized enterprises• worldwide ≈ 3 x US market

Business Model

SaaSno license fees, no setup cost

Subscription fees

Free trial

Secret Sauce

We found patterns in pattern recognitionWe built unprecedented knowledge carrying out 50+ pattern recognition projects

Python and Apache SparkExtremely high performing basis for cutting edge pattern recognition

We prepare the data in a secret fashionWe receive ~25 database fields that we transform into 500+ fields to support thealgorithms detect the patterns - this makes a huge difference!

Competitive Landscape

Besides these companies with similar approaches there are numerous offerings by incumbents with other products that add similar services to their core products, e.g. salesforce, SAP, Optivo, Emailvision etc.

GPredictive wise.io optimove Canopy Labs Tiny Clues Sales Predict

Country HQ DE US IS CA FR IS (US)

Targeting use case ✓ ✓ ✓ ✓ ✓ ✓

Reference customers ✓ ✓ ✓ ✓ ✗ ✗

Ramping up sales ✓ ✗ ✓ ✓ ✗ ✗

Small-sized businesses ✗ ✓ ? ✓ ? ✓

Medium-sized businesses ✓ ✓ ✓ ✓ ✓ ✓

Sales and Profitability

Detailed and efficient cold calling processbuilding a team of sales rockstars with excellent background

Inbound Marketing is being established highly professionalStrong growth rates in reach and generated leads

Attractive KPIs alreadyCAC ~9k €, LTV ~100k €sales cycle down to ~3 months - and being shortened even further

Traction

Series A of 2.5 Mio. € with Target Partners in Jan 2015Business Angel Thorsten Grenz invested in Dec 2013

High growth rate in salesWe were at 1 new customer per month in Q2, NOW: 1 new customer per week

Ramping up sales even further and fasterExcellent sales process allows sales managers to start productive work on day 1!Just hired the first sales manager in the UK

FoundersBjörn GoerkeCo-Founder & CEOquant. MBA and quant. researchsupported 100+ tech companies growcarried out 50+ pattern recognition projects together with Dennis from 2008 - 2012

Dr. Dennis ProppeCo-Founder & CTOquant. MBA and quant. PhD in Marketing → pattern recognition in customer behaviourcarried out 50+ pattern recognition projects together with Björn from 2008 - 2012

Philippe TakeCo-Founder & CSOquant. MBAbuilt his first SaaS company as CSO from 6 to 50 employees without external fundingjoined the team in 2012

Money and Milestones

Preparing for Series BTarget: 10 Mio. € investment through increase in share capital

Enter the US and major EU markets in 2016We are currently preparing the ramp up of those sales resources

Investment in the productFocus on the front-end, needs to be raised to the next level

Björn GoerkeCo-Founder & CEO

GPredictive GmbHLilienstr. 1120095 HamburgGermany

Phone +49 40 209316211Mobile +49 176 84022714bg@gpredictive.de

Contact Details