SlideShare ist ein Scribd-Unternehmen logo
1 von 12
Downloaden Sie, um offline zu lesen
Data-Driven Politics, National to Neighborhood




As seen in...
Politics is Big Business
                   (and remains so in non-federal election years)

                            Total Annual Expenditures

Political Groups     Federal Campaigns
(e.g. Lobbyists)
ElectNext is Data-Driven Politics


          Data                       Analysis                     Product
•Aggregate  and structure      •Analyze and summarize    •Users  explore visual,
millions of data points on     with NLP Topic Models,    relevant, contextual
political people, issues and   Ideal Point Estimation,   political information, when
events.                        Bayesian Inference.       and where they need it
                                                         most.


      Politicians
      10,000+

      Interest Groups
       350,000+ ratings

      Legislation
       100,000+ bills
      Campaign Finance
 $
      15,000,000+ records
In Our First Year We...

                               Distributed a 2012
 Built a Big Database        Elections Product to...    Reached 3M+ People!




                                                             3,000,000+




✓4500+ Candidates            ✓The Washington Post      ✓1000% mo/mo growth
✓All three Federal Levels    ✓The Economist            ✓All 50 states
✓Bayesian Inference          ✓NBC Politics             ✓2 million visits in Oct
✓Euclidean Distance          ✓Hearst Television        ✓1.2 million+ visits on
  Matching                                               Election Day
                             ✓The PBS NewsHour
✓Ideal Point Estimation      ✓40+ Nationwide
Now Launching: Digital Political ‘Baseball Cards’




      For Publishers                $ For Politicians $
  We close the ‘search leak’ and   Across our partner networks we
  drive engagement with a data-    offer an unprecedented platform
  driven companion experience to   to generate leads and monitor
  political content.               earned media.
Business Model

Political Subscriptions for lead generation & media monitoring
Level                                                Cost Per Month

Local                                                $95

State                                                $495

National                                             $3495

Addressable Market (annual)                          $702,000,000


Advertising
Addressable Market (at $5 CPM and 70/30 rev share)   $193,000,000



Total Addressable Market:                            $895M
Publisher Traction

12,500,000 monthly uniques across launch partner sites




Publisher Pipeline (4 Month Sales Cycle)
Prospects                          120 PA & National Publishers     25%


Pipeline                           30 Current Conversations
                                                                    20%
Launch Partners                    6 Sets of JavaScript Delivered

6 Month Publisher Goal             15 Partners, 35M Monthly Uniques
Customer Traction

“Pre-sale” Signed Customers
Bill Green                     David Oh                       Cindy Bass            Brian Sims
Phila. City Council At-Large   Phila. City Council At-Large   Phila. City Council   PA House of Representatives




Politician Pipeline (2 Month Sales Cycle)
 Prospects                                                     120 PA Politicians                                 16%


 Pipeline                                                       20 Current Conversations
                                                                                                                  20%
 Signed Customers                                               4, with credit cards

 6 Month Customer Goal                                          100 Paying Customers
Comparable Companies

    Single Platform                   Apture                STELLAService




‣ Aggregates restaurant      ‣ In-article keyword       ‣ Aggregates customer
  data; distributes to         search experience for      service data, publishes
  publishers                   publishers                 for consumers
‣ Business Model:            ‣ Business Model:          ‣ Business Model: Sells
  Restaurant subscriptions     Publisher White Label,     customer service intel
  (for lead generation)        Advertising                back to companies

‣ Outcome: Sold for          ‣ Outcome: Sold to         ‣ Outcome: Raising a
  $100M in 2 years             Google in 4 years          B-round w/in 2 years
Team

Keya Dannenbaum                      John Mertens
Founder & CEO                        Chief Technology Officer

• Hillary Clinton for President      • Code for America Fellow ‘11
• 18 Municipal level campaigns       • Full stack Rails dev.

• Stanford, Princeton, Wharton       • Open data evangelist




Jake Wells                           Mike Toppa
Product & Design                     Rails Engineer

• User-centered Designer             • 17-year Web Dev.
• Ethnographic Research              • PhD, Govt., Georgetown

• BA, MA Industrial Design           • Agile aficionado




Dave Zega                            Dan Whateley
National Political Director          Head of Partnerships

• Citywide campaign mngr.            • Secured all 2012 partnerships
• Philadelphia City govt.
                                       (40+ partners, 3M+ uniques)
• MA, Government UPenn               • EN nickname: The ‘Danimal’
Investors                                 Advisors

  Charlie O’Donnell                        Ezra Callahan
  Brooklyn Bridge Ventures                 6th Employee
                                           1st Product Manager




   Ben Wirz                                Sean Gerrish
   Knight Foundation                       Princeton CS/Political Data PhD
                                           Fmr. Senior Google Engineer




   David Horowitz                          Ryan Jacoby
  Comcast Ventures                         IDEO




                             Endorsers

Bill Bradley                   Tim Brown               Jeb Bush
NJ Senator (D)                 IDEO                    FL Governor (R)
Open Raise



$250k
*Second tranche of a total $1M round; $750k closed July 2012


Milestones                             Deal Terms
Additional funds give us a 12-         • Convertible     Note
month runway to:                       • $3M   Valuation Cap
• Data,   publisher, political         • 15%   Discount
 coverage in 5/50 US States            • 6%   Interest
• Cash    flow positive


                                         Closing March 30, 2013

Weitere ähnliche Inhalte

Ähnlich wie Data-Driven Politics from National to Neighborhood Level

Tech M&A Monthly: China - What's Really Happening?
Tech M&A Monthly: China - What's Really Happening?Tech M&A Monthly: China - What's Really Happening?
Tech M&A Monthly: China - What's Really Happening?Corum Group
 
LSA17: State of the Association (LSA)
LSA17: State of the Association (LSA)LSA17: State of the Association (LSA)
LSA17: State of the Association (LSA)Localogy
 
Unifying Online and Offline Donor Data for a Consistent Experience
Unifying Online and Offline Donor Data for a Consistent ExperienceUnifying Online and Offline Donor Data for a Consistent Experience
Unifying Online and Offline Donor Data for a Consistent ExperienceCDS Global, Inc.
 
[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...
[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...
[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...500 Startups
 
Mon945Krasilovsky
Mon945KrasilovskyMon945Krasilovsky
Mon945Krasilovskyagencyside
 
Washington Post.pptx
Washington Post.pptxWashington Post.pptx
Washington Post.pptxssuserf288df
 
Viralheat & Experian: Predictive Social Behavior Leads to Real-Time Customers
Viralheat & Experian: Predictive Social Behavior Leads to Real-Time CustomersViralheat & Experian: Predictive Social Behavior Leads to Real-Time Customers
Viralheat & Experian: Predictive Social Behavior Leads to Real-Time CustomersViralheat
 
Mimmer Investor Deck
Mimmer Investor DeckMimmer Investor Deck
Mimmer Investor DeckScott Graham
 
Tech M&A Monthly: 10 Keys to a Valuable Valuation
Tech M&A Monthly: 10 Keys to a Valuable ValuationTech M&A Monthly: 10 Keys to a Valuable Valuation
Tech M&A Monthly: 10 Keys to a Valuable ValuationCorum Group
 
The Spot Hype Pitch-deck 2018
The Spot Hype Pitch-deck 2018The Spot Hype Pitch-deck 2018
The Spot Hype Pitch-deck 2018Ronald Reed
 
ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution Kekacobb
 
ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution Kekacobb
 
Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...
Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...
Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...MediaPost
 
Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14LMSmith361
 
Tech M&A Monthly: 15 Ways to Find Buyers
Tech M&A Monthly: 15 Ways to Find BuyersTech M&A Monthly: 15 Ways to Find Buyers
Tech M&A Monthly: 15 Ways to Find BuyersCorum Group
 
William chamberlain - Portfolio - November 2018
William chamberlain  - Portfolio - November 2018William chamberlain  - Portfolio - November 2018
William chamberlain - Portfolio - November 2018William Chamberlain
 

Ähnlich wie Data-Driven Politics from National to Neighborhood Level (20)

Tech M&A Monthly: China - What's Really Happening?
Tech M&A Monthly: China - What's Really Happening?Tech M&A Monthly: China - What's Really Happening?
Tech M&A Monthly: China - What's Really Happening?
 
250 Brands to Watch | Seattle Interactive 2019
250 Brands to Watch | Seattle Interactive 2019250 Brands to Watch | Seattle Interactive 2019
250 Brands to Watch | Seattle Interactive 2019
 
LSA17: State of the Association (LSA)
LSA17: State of the Association (LSA)LSA17: State of the Association (LSA)
LSA17: State of the Association (LSA)
 
Unifying Online and Offline Donor Data for a Consistent Experience
Unifying Online and Offline Donor Data for a Consistent ExperienceUnifying Online and Offline Donor Data for a Consistent Experience
Unifying Online and Offline Donor Data for a Consistent Experience
 
2013 mayo communications
2013 mayo communications2013 mayo communications
2013 mayo communications
 
[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...
[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...
[PreMoney SF 2015] Govtech Fund >> Ron Bouganim, "Out With The Old, In With T...
 
Mon945Krasilovsky
Mon945KrasilovskyMon945Krasilovsky
Mon945Krasilovsky
 
2013 MAYO Communications
2013 MAYO Communications2013 MAYO Communications
2013 MAYO Communications
 
social_media_tm_hp_slides
social_media_tm_hp_slidessocial_media_tm_hp_slides
social_media_tm_hp_slides
 
Washington Post.pptx
Washington Post.pptxWashington Post.pptx
Washington Post.pptx
 
Viralheat & Experian: Predictive Social Behavior Leads to Real-Time Customers
Viralheat & Experian: Predictive Social Behavior Leads to Real-Time CustomersViralheat & Experian: Predictive Social Behavior Leads to Real-Time Customers
Viralheat & Experian: Predictive Social Behavior Leads to Real-Time Customers
 
Mimmer Investor Deck
Mimmer Investor DeckMimmer Investor Deck
Mimmer Investor Deck
 
Tech M&A Monthly: 10 Keys to a Valuable Valuation
Tech M&A Monthly: 10 Keys to a Valuable ValuationTech M&A Monthly: 10 Keys to a Valuable Valuation
Tech M&A Monthly: 10 Keys to a Valuable Valuation
 
The Spot Hype Pitch-deck 2018
The Spot Hype Pitch-deck 2018The Spot Hype Pitch-deck 2018
The Spot Hype Pitch-deck 2018
 
ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution
 
ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution ATD Austin Yellow Pages Solution
ATD Austin Yellow Pages Solution
 
Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...
Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...
Not All Data Is Created Equal: Using Self-Declared Insights to Drive Targetin...
 
Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14
 
Tech M&A Monthly: 15 Ways to Find Buyers
Tech M&A Monthly: 15 Ways to Find BuyersTech M&A Monthly: 15 Ways to Find Buyers
Tech M&A Monthly: 15 Ways to Find Buyers
 
William chamberlain - Portfolio - November 2018
William chamberlain  - Portfolio - November 2018William chamberlain  - Portfolio - November 2018
William chamberlain - Portfolio - November 2018
 

Data-Driven Politics from National to Neighborhood Level

  • 1. Data-Driven Politics, National to Neighborhood As seen in...
  • 2. Politics is Big Business (and remains so in non-federal election years) Total Annual Expenditures Political Groups Federal Campaigns (e.g. Lobbyists)
  • 3. ElectNext is Data-Driven Politics Data Analysis Product •Aggregate and structure •Analyze and summarize •Users explore visual, millions of data points on with NLP Topic Models, relevant, contextual political people, issues and Ideal Point Estimation, political information, when events. Bayesian Inference. and where they need it most. Politicians 10,000+ Interest Groups 350,000+ ratings Legislation 100,000+ bills Campaign Finance $ 15,000,000+ records
  • 4. In Our First Year We... Distributed a 2012 Built a Big Database Elections Product to... Reached 3M+ People! 3,000,000+ ✓4500+ Candidates ✓The Washington Post ✓1000% mo/mo growth ✓All three Federal Levels ✓The Economist ✓All 50 states ✓Bayesian Inference ✓NBC Politics ✓2 million visits in Oct ✓Euclidean Distance ✓Hearst Television ✓1.2 million+ visits on Matching Election Day ✓The PBS NewsHour ✓Ideal Point Estimation ✓40+ Nationwide
  • 5. Now Launching: Digital Political ‘Baseball Cards’ For Publishers $ For Politicians $ We close the ‘search leak’ and Across our partner networks we drive engagement with a data- offer an unprecedented platform driven companion experience to to generate leads and monitor political content. earned media.
  • 6. Business Model Political Subscriptions for lead generation & media monitoring Level Cost Per Month Local $95 State $495 National $3495 Addressable Market (annual) $702,000,000 Advertising Addressable Market (at $5 CPM and 70/30 rev share) $193,000,000 Total Addressable Market: $895M
  • 7. Publisher Traction 12,500,000 monthly uniques across launch partner sites Publisher Pipeline (4 Month Sales Cycle) Prospects 120 PA & National Publishers 25% Pipeline 30 Current Conversations 20% Launch Partners 6 Sets of JavaScript Delivered 6 Month Publisher Goal 15 Partners, 35M Monthly Uniques
  • 8. Customer Traction “Pre-sale” Signed Customers Bill Green David Oh Cindy Bass Brian Sims Phila. City Council At-Large Phila. City Council At-Large Phila. City Council PA House of Representatives Politician Pipeline (2 Month Sales Cycle) Prospects 120 PA Politicians 16% Pipeline 20 Current Conversations 20% Signed Customers 4, with credit cards 6 Month Customer Goal 100 Paying Customers
  • 9. Comparable Companies Single Platform Apture STELLAService ‣ Aggregates restaurant ‣ In-article keyword ‣ Aggregates customer data; distributes to search experience for service data, publishes publishers publishers for consumers ‣ Business Model: ‣ Business Model: ‣ Business Model: Sells Restaurant subscriptions Publisher White Label, customer service intel (for lead generation) Advertising back to companies ‣ Outcome: Sold for ‣ Outcome: Sold to ‣ Outcome: Raising a $100M in 2 years Google in 4 years B-round w/in 2 years
  • 10. Team Keya Dannenbaum John Mertens Founder & CEO Chief Technology Officer • Hillary Clinton for President • Code for America Fellow ‘11 • 18 Municipal level campaigns • Full stack Rails dev. • Stanford, Princeton, Wharton • Open data evangelist Jake Wells Mike Toppa Product & Design Rails Engineer • User-centered Designer • 17-year Web Dev. • Ethnographic Research • PhD, Govt., Georgetown • BA, MA Industrial Design • Agile aficionado Dave Zega Dan Whateley National Political Director Head of Partnerships • Citywide campaign mngr. • Secured all 2012 partnerships • Philadelphia City govt. (40+ partners, 3M+ uniques) • MA, Government UPenn • EN nickname: The ‘Danimal’
  • 11. Investors Advisors Charlie O’Donnell Ezra Callahan Brooklyn Bridge Ventures 6th Employee 1st Product Manager Ben Wirz Sean Gerrish Knight Foundation Princeton CS/Political Data PhD Fmr. Senior Google Engineer David Horowitz Ryan Jacoby Comcast Ventures IDEO Endorsers Bill Bradley Tim Brown Jeb Bush NJ Senator (D) IDEO FL Governor (R)
  • 12. Open Raise $250k *Second tranche of a total $1M round; $750k closed July 2012 Milestones Deal Terms Additional funds give us a 12- • Convertible Note month runway to: • $3M Valuation Cap • Data, publisher, political • 15% Discount coverage in 5/50 US States • 6% Interest • Cash flow positive Closing March 30, 2013