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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 [email protected]
Contact Details