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Pitch Deck
GPredictive
Next 2015
The Pitch
We make sure that
every 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 rates
We “say” on the individual customer level what the probability of purchase will be.
Every interaction leverages the full potential
Customers are only included in a campaign if individual ROI is positive
Perfect marketing mix
This 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 this
You 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
SaaS
no license fees, no setup cost
Subscription fees
Free trial
Secret Sauce
We found patterns in pattern recognition
We built unprecedented knowledge carrying out 50+ pattern recognition projects
Python and Apache Spark
Extremely high performing basis for cutting edge pattern recognition
We prepare the data in a secret fashion
We receive ~25 database fields that we transform into 500+ fields to support the
algorithms 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 process
building a team of sales rockstars with excellent background
Inbound Marketing is being established highly professional
Strong growth rates in reach and generated leads
Attractive KPIs already
CAC ~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 2015
Business Angel Thorsten Grenz invested in Dec 2013
High growth rate in sales
We were at 1 new customer per month in Q2, NOW: 1 new customer per week
Ramping up sales even further and faster
Excellent sales process allows sales managers to start productive work on day 1!
Just hired the first sales manager in the UK
Founders
Björn Goerke
Co-Founder & CEO
quant. MBA and quant. research
supported 100+ tech companies grow
carried out 50+ pattern recognition projects together with Dennis from 2008 - 2012
Dr. Dennis Proppe
Co-Founder & CTO
quant. MBA and quant. PhD in Marketing → pattern recognition in customer behaviour
carried out 50+ pattern recognition projects together with Björn from 2008 - 2012
Philippe Take
Co-Founder & CSO
quant. MBA
built his first SaaS company as CSO from 6 to 50 employees without external funding
joined the team in 2012
Money and Milestones
Preparing for Series B
Target: 10 Mio. € investment through increase in share capital
Enter the US and major EU markets in 2016
We are currently preparing the ramp up of those sales resources
Investment in the product
Focus on the front-end, needs to be raised to the next level
Björn Goerke
Co-Founder & CEO
GPredictive GmbH
Lilienstr. 11
20095 Hamburg
Germany
Phone +49 40 209316211
Mobile +49 176 84022714
bg@gpredictive.de
Contact Details

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Pitch Deck 2015

  • 2. The Pitch We make sure that every marketing dollar is spent efficiently.
  • 3. 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
  • 4. We solve the Problem We compute predictive conversion rates We “say” on the individual customer level what the probability of purchase will be. Every interaction leverages the full potential Customers are only included in a campaign if individual ROI is positive Perfect marketing mix This applies across customers segments, instruments, and products It is as easy as checking stock prices - and it’s fun!
  • 5. Creating your next campaign – it‘s as easy as this You 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
  • 6. 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
  • 7. 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
  • 8. Business Model SaaS no license fees, no setup cost Subscription fees Free trial
  • 9. Secret Sauce We found patterns in pattern recognition We built unprecedented knowledge carrying out 50+ pattern recognition projects Python and Apache Spark Extremely high performing basis for cutting edge pattern recognition We prepare the data in a secret fashion We receive ~25 database fields that we transform into 500+ fields to support the algorithms detect the patterns - this makes a huge difference!
  • 10. 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 ✓ ✓ ✓ ✓ ✓ ✓
  • 11. Sales and Profitability Detailed and efficient cold calling process building a team of sales rockstars with excellent background Inbound Marketing is being established highly professional Strong growth rates in reach and generated leads Attractive KPIs already CAC ~9k €, LTV ~100k € sales cycle down to ~3 months - and being shortened even further
  • 12. Traction Series A of 2.5 Mio. € with Target Partners in Jan 2015 Business Angel Thorsten Grenz invested in Dec 2013 High growth rate in sales We were at 1 new customer per month in Q2, NOW: 1 new customer per week Ramping up sales even further and faster Excellent sales process allows sales managers to start productive work on day 1! Just hired the first sales manager in the UK
  • 13. Founders Björn Goerke Co-Founder & CEO quant. MBA and quant. research supported 100+ tech companies grow carried out 50+ pattern recognition projects together with Dennis from 2008 - 2012 Dr. Dennis Proppe Co-Founder & CTO quant. MBA and quant. PhD in Marketing → pattern recognition in customer behaviour carried out 50+ pattern recognition projects together with Björn from 2008 - 2012 Philippe Take Co-Founder & CSO quant. MBA built his first SaaS company as CSO from 6 to 50 employees without external funding joined the team in 2012
  • 14. Money and Milestones Preparing for Series B Target: 10 Mio. € investment through increase in share capital Enter the US and major EU markets in 2016 We are currently preparing the ramp up of those sales resources Investment in the product Focus on the front-end, needs to be raised to the next level
  • 15. Björn Goerke Co-Founder & CEO GPredictive GmbH Lilienstr. 11 20095 Hamburg Germany Phone +49 40 209316211 Mobile +49 176 84022714 bg@gpredictive.de Contact Details