converting fan engagement into actionable data insights
CONVERTING FAN ENGAGEMENT INTO ACTIONABLE DATA INSIGHTS
ARENAMATIC. WHAT WE ARE
•
Disrupting historical arena sponsorship strategies through a truly unique fan-centric and data driven platform
• •
Materially increasing the fan’s game day experience Enabling better decisions and dialogue for sponsors and arenas
WHAT WE CURRENTLY HAVE FOR THE…
•
FAN: a Facebook Messenger fan engagement chatbot with the ultimate reach. It is in the most attendees’ pocket.
• •
SPONSORS/ARENAS: Backend data warehouse filled with fan demographics EVENT TECHNICIAN: browser-based event management workflow system
EXECUTIVE SUMMARY.
ISSUES. Fans at sports arenas are captive audiences that wander to their phones during breaks in the action. Fans have short attention spans and game breaks are the perfect excuse to tune out. Tickets change hands on average >3 times prior to attending an event, so ticket data intelligence is conclusively misleading. Sponsors pay dearly for their brands to be front and center at areas, but they have very little insight as to who is seeing their name and logo. Counting or duration of impressions is 20th century intelligence. It is now only a lesser part of the data mosaic!
MISSION STATEMENT.
Use today’s technology to turn downtime at games and events into entertainment for the fans and data for arena advertisers. Enable and drive the paradigm shift of data harvesting and mathematics to change the dialogue between sponsors, arenas, and teams for the better. Create direct connections between the fans, the arena, and the sponsors.
WHAT WE KNOW.
WHO’S ACTUALLY ATTENDING YOUR GAMES?
Problem: Fans’ short attention spans are noncontroversial Solution: During game breaks we engage through trivia, polls and rewards
Problem: Tickets change hands on average >3 times per event Solution: Arenamatic finds out exactly who’s at your games. It gets to know each and every fan on a personal level.
Problem: Arena-specific apps are lightly used;
TRADITIONAL ADVERTISING HAS NO TANGIBLE ROI. Problem: Arena advertising creates, at best, awareness that isn’t trackable Solution: Arenamatic creates meta and micro-data that was previously unattainable
painful downloads, logins, unique workflows Solution: An arena agnostic and most likely already accessible to your fans 2016 Game Duration Decomposition
Downtime
Playing/Action time
NCAA FB
173
12
NFL
181
11
MLB
162 82
48
NBA
83
48
0%
10%
20%
30%
40%
building and how they got to that point are the biggest questions
18
NCAA BB
50%
60%
70%
%age of the Game (2016 AVG in Mins)
80%
90%
“Knowing who’s actually in your
we’re all asking in the industry.”
100%
PROBLEM - SOLUTION.
WHAT THIS MEANS FOR FANS Arenamatic is the event inside the event.
• • • •
Context and time sensitive games and activities right on their phones Add competition to just being a fan Win prizes, move seats, or whatever else sponsors want to offer Become part of a community or Arenamates!
WHAT THIS MEANS FOR SPONSORS AND VENUES Data is the new currency.
• • • •
Unparalleled fan engagement; fan centric Gather valuable and insightful consumer data on individual and meta levels Get permission to contact fans after the event. Engage in new e-commerce opportunities. INITIAL IMPLEMENTATION
PRODUCT.
PRODUCT DASHBOARDS.
PRODUCT.
TRIVIA. CONTEXT AND TIME SENSITIVE
• Which NFL/NBA player are you? • Single game, at the arena fantasy; points awarded based on odds
• Most points, assists, rebounds in basketball
• Most yards thrown for, catches, yards run in football
• Hits, total bases, strikeouts in baseball
PRODUCT.
LEADERBOARD, SCORING, AND PRIZES.
• Engage the fans directly • Employs Artificial Intelligence (a requirement) • Follow your fans at away games • Points awarded for all activities • Prizes can be awarded at each event and cumulatively
• Leaderboard tracks all players PRODUCT.
ARENAMATIC HARVESTED DATA AND ANALYTICS. ARENAMATIC ENABLES
• New sources of audience data and metadata - Demographics - Psychographics - Brand knowledge and affinity - Competitor brand knowledge and affinity - Purchase behavior
• On-the-spot e-commerce • New CRM capabilities • Multi-venue behavior data and sales opportunities We harvest the data and convert it into an actionable part of your data mosaic. PRODUCT.
TEAM.
STEVE GOLDSTEIN Tech Guru
1993??
Steve founds DataDownlink. Raises money
DANIEL CASHION Mathlete, Data Junkie
1997
Steve and Dan work for sister companies
2004
Barra sold to Morgan Stanley. Cashion resigns to join algorithmic search firm Axioma as President
2006
FRED WILSON VC Icon
2002
2015
FWilson’s firm invests in Alacra
Cashion joins as head of Quantiative Analysis at one of the largest 10 Hedge Funds in the world
Opus Global buys Alacra. Steve continues to have entreprenureal bug
2014
2016
Steve approaches Dan with Arenamatic Idea
Cashion founds algorithmic search firm. Writes algos, sells convertible note. Sold < 2 years later for >2000% gain..
2017
Legal formation..
TIMELINE.
ACCOMPLISHMENTS TO DATE 2017
Phase 3: Go to Market
Phase 2: Development
Phase 1: Planning
TASKS
JAN
2018 FEB MAR APR MAY JUN
JUL
AUG SEPT OCT
Market Research Scope Documentation Infrastructure (CRM, collateral) Team Onboarding Database Design SportData Data Loading Engine Workflow Production (GUI & API) Facebook Messenger Connectivity Friends and Family meetings Charter Client Program Advisory Council Build Out Strategic Capital Raise Full client onboarding Programmers/QA Involved
1
1
2
5
9
9
9
9
9
9
NOV DEC JAN
FEB MAR
180
OPPORTUNITY.
140
• Direct OEM (we host/maintain an Arena’s geo-location sensitive data collection strategy)
MARKET INEFFICIENCIES
Number of Arenas
• Sports, concerts, conferences; >$7B/year in spend
South America
60
Africa
0
2
4
6
8
10
12
Arena Capacity (MM)
• No economies of scale for arenas, sponsors or teams
TARGET MARKET PENETRATION
80
0
• Works on either Wi-Fi or cellular
MARKET OPPORTUNITY
North America
Europe
100
20
• Apps are decreasing in popularity (YinzCam, VenueNext)
MARKET POTENTIAL
120
40
• Discrete known shift in sponsors desire for demographic data
SPONSORSHIP ANNUAL SPEND
Asia Pac
160
+$7B $450M
RISKS • Must attain critical mass • Pricing TBD • Arenas possible perception as threatening
$150M 30%
OPPORTUNITIES RISKS AND COMPETITION.
FINANCIALS.
Details Provided Upon Request
FCF - Operations ($M)
Monthly (LHS) - Cumulative (RHS)
Monthly (LHS) - Cumulative (RHS)
FCF - Operations ($M)
$0.6
$4.0
$0.6
$4.0
$0.5
$3.5
$0.5
$3.5
$3.0
$0.4
$2.5
$0.3
$2.0
$2.0 $1.5 $1.0
$0.2
$1.5
$0.1
$1.0
$0.1
$-
$-
$(0.1)
$(0.5)
$(0.2) Apr-17
$(1.0) Jul-17
Oct-17
Jan-18
Apr-18
Jul-18
Oct-18
Jan-19
Apr-19
Revenues vs Expenses ($M)
$2.5
$0.3 $0.2
$0.5
$3.0
$0.4
$0.5
$-
$-
$(0.1)
$(0.5)
$(0.2) Apr-17
$(1.0) Jul-17
Oct-17
Jan-18
Apr-18
Cumulative Revenues vs Expenses ($M) $12
$1.0
$10
$0.8
Revenue
Expenses
$8
$0.6
$6
$0.4
$4 $2
$0.2
$-
$Apr-17
Jul-17
Oct-17
Jan-18
Jul-18
Apr-18
Jul-18
Oct-18
Jan-19
Apr-19
Revenues
Expenses
Oct-18
Jan-19
Apr-19
FINANCIALS (con’t).
PLANNED PERSONNEL DEVELOPMENT 3 YEAR PLAN DEPARTMENT
CAPITAL RAISE (4Q17)
2018
2020
2019
Backend Dev
3
4
5
UI Design
1
2
2
QA
1
2
2
GameDay Ops
3
5
7
Sales/Admin
2
2
2
MITIGATED RISKS
Client Support
2
3
4
• Managing Partners are proven operators
Total
12
18
22
• Strategic Partner(s) sought; aligning interests • Access and credibility are the ask • Convert or Equity; targeting raise of $1M - $5M • Proceeds to fund initial rollout and personnel expansion
• Unique data, mathematic, IP, and leadership skills • Business scales only when clients emerge
BOARD/ ADVISORY BOARD • Open for Board representation • Advisory Board buildout -
Academemics, practitioners, influencers
THANK YOU.
[email protected]
ARENAMATIC. WHAT WE ARE
•
Disrupting historical arena sponsorship strategies through a truly unique fan-centric and data driven platform
• •
Materially increasing the fan’s game day experience Enabling better decisions and dialogue for sponsors and arenas
WHAT WE CURRENTLY HAVE FOR THE…
•
FAN: a Facebook Messenger fan engagement chatbot with the ultimate reach. It is in the most attendees’ pocket.
• •
SPONSORS/ARENAS: Backend data warehouse filled with fan demographics EVENT TECHNICIAN: browser-based event management workflow system
EXECUTIVE SUMMARY.
ISSUES. Fans at sports arenas are captive audiences that wander to their phones during breaks in the action. Fans have short attention spans and game breaks are the perfect excuse to tune out. Tickets change hands on average >3 times prior to attending an event, so ticket data intelligence is conclusively misleading. Sponsors pay dearly for their brands to be front and center at areas, but they have very little insight as to who is seeing their name and logo. Counting or duration of impressions is 20th century intelligence. It is now only a lesser part of the data mosaic!
MISSION STATEMENT.
Use today’s technology to turn downtime at games and events into entertainment for the fans and data for arena advertisers. Enable and drive the paradigm shift of data harvesting and mathematics to change the dialogue between sponsors, arenas, and teams for the better. Create direct connections between the fans, the arena, and the sponsors.
WHAT WE KNOW.
WHO’S ACTUALLY ATTENDING YOUR GAMES?
Problem: Fans’ short attention spans are noncontroversial Solution: During game breaks we engage through trivia, polls and rewards
Problem: Tickets change hands on average >3 times per event Solution: Arenamatic finds out exactly who’s at your games. It gets to know each and every fan on a personal level.
Problem: Arena-specific apps are lightly used;
TRADITIONAL ADVERTISING HAS NO TANGIBLE ROI. Problem: Arena advertising creates, at best, awareness that isn’t trackable Solution: Arenamatic creates meta and micro-data that was previously unattainable
painful downloads, logins, unique workflows Solution: An arena agnostic and most likely already accessible to your fans 2016 Game Duration Decomposition
Downtime
Playing/Action time
NCAA FB
173
12
NFL
181
11
MLB
162 82
48
NBA
83
48
0%
10%
20%
30%
40%
building and how they got to that point are the biggest questions
18
NCAA BB
50%
60%
70%
%age of the Game (2016 AVG in Mins)
80%
90%
“Knowing who’s actually in your
we’re all asking in the industry.”
100%
PROBLEM - SOLUTION.
WHAT THIS MEANS FOR FANS Arenamatic is the event inside the event.
• • • •
Context and time sensitive games and activities right on their phones Add competition to just being a fan Win prizes, move seats, or whatever else sponsors want to offer Become part of a community or Arenamates!
WHAT THIS MEANS FOR SPONSORS AND VENUES Data is the new currency.
• • • •
Unparalleled fan engagement; fan centric Gather valuable and insightful consumer data on individual and meta levels Get permission to contact fans after the event. Engage in new e-commerce opportunities. INITIAL IMPLEMENTATION
PRODUCT.
PRODUCT DASHBOARDS.
PRODUCT.
TRIVIA. CONTEXT AND TIME SENSITIVE
• Which NFL/NBA player are you? • Single game, at the arena fantasy; points awarded based on odds
• Most points, assists, rebounds in basketball
• Most yards thrown for, catches, yards run in football
• Hits, total bases, strikeouts in baseball
PRODUCT.
LEADERBOARD, SCORING, AND PRIZES.
• Engage the fans directly • Employs Artificial Intelligence (a requirement) • Follow your fans at away games • Points awarded for all activities • Prizes can be awarded at each event and cumulatively
• Leaderboard tracks all players PRODUCT.
ARENAMATIC HARVESTED DATA AND ANALYTICS. ARENAMATIC ENABLES
• New sources of audience data and metadata - Demographics - Psychographics - Brand knowledge and affinity - Competitor brand knowledge and affinity - Purchase behavior
• On-the-spot e-commerce • New CRM capabilities • Multi-venue behavior data and sales opportunities We harvest the data and convert it into an actionable part of your data mosaic. PRODUCT.
TEAM.
STEVE GOLDSTEIN Tech Guru
1993??
Steve founds DataDownlink. Raises money
DANIEL CASHION Mathlete, Data Junkie
1997
Steve and Dan work for sister companies
2004
Barra sold to Morgan Stanley. Cashion resigns to join algorithmic search firm Axioma as President
2006
FRED WILSON VC Icon
2002
2015
FWilson’s firm invests in Alacra
Cashion joins as head of Quantiative Analysis at one of the largest 10 Hedge Funds in the world
Opus Global buys Alacra. Steve continues to have entreprenureal bug
2014
2016
Steve approaches Dan with Arenamatic Idea
Cashion founds algorithmic search firm. Writes algos, sells convertible note. Sold < 2 years later for >2000% gain..
2017
Legal formation..
TIMELINE.
ACCOMPLISHMENTS TO DATE 2017
Phase 3: Go to Market
Phase 2: Development
Phase 1: Planning
TASKS
JAN
2018 FEB MAR APR MAY JUN
JUL
AUG SEPT OCT
Market Research Scope Documentation Infrastructure (CRM, collateral) Team Onboarding Database Design SportData Data Loading Engine Workflow Production (GUI & API) Facebook Messenger Connectivity Friends and Family meetings Charter Client Program Advisory Council Build Out Strategic Capital Raise Full client onboarding Programmers/QA Involved
1
1
2
5
9
9
9
9
9
9
NOV DEC JAN
FEB MAR
180
OPPORTUNITY.
140
• Direct OEM (we host/maintain an Arena’s geo-location sensitive data collection strategy)
MARKET INEFFICIENCIES
Number of Arenas
• Sports, concerts, conferences; >$7B/year in spend
South America
60
Africa
0
2
4
6
8
10
12
Arena Capacity (MM)
• No economies of scale for arenas, sponsors or teams
TARGET MARKET PENETRATION
80
0
• Works on either Wi-Fi or cellular
MARKET OPPORTUNITY
North America
Europe
100
20
• Apps are decreasing in popularity (YinzCam, VenueNext)
MARKET POTENTIAL
120
40
• Discrete known shift in sponsors desire for demographic data
SPONSORSHIP ANNUAL SPEND
Asia Pac
160
+$7B $450M
RISKS • Must attain critical mass • Pricing TBD • Arenas possible perception as threatening
$150M 30%
OPPORTUNITIES RISKS AND COMPETITION.
FINANCIALS.
Details Provided Upon Request
FCF - Operations ($M)
Monthly (LHS) - Cumulative (RHS)
Monthly (LHS) - Cumulative (RHS)
FCF - Operations ($M)
$0.6
$4.0
$0.6
$4.0
$0.5
$3.5
$0.5
$3.5
$3.0
$0.4
$2.5
$0.3
$2.0
$2.0 $1.5 $1.0
$0.2
$1.5
$0.1
$1.0
$0.1
$-
$-
$(0.1)
$(0.5)
$(0.2) Apr-17
$(1.0) Jul-17
Oct-17
Jan-18
Apr-18
Jul-18
Oct-18
Jan-19
Apr-19
Revenues vs Expenses ($M)
$2.5
$0.3 $0.2
$0.5
$3.0
$0.4
$0.5
$-
$-
$(0.1)
$(0.5)
$(0.2) Apr-17
$(1.0) Jul-17
Oct-17
Jan-18
Apr-18
Cumulative Revenues vs Expenses ($M) $12
$1.0
$10
$0.8
Revenue
Expenses
$8
$0.6
$6
$0.4
$4 $2
$0.2
$-
$Apr-17
Jul-17
Oct-17
Jan-18
Jul-18
Apr-18
Jul-18
Oct-18
Jan-19
Apr-19
Revenues
Expenses
Oct-18
Jan-19
Apr-19
FINANCIALS (con’t).
PLANNED PERSONNEL DEVELOPMENT 3 YEAR PLAN DEPARTMENT
CAPITAL RAISE (4Q17)
2018
2020
2019
Backend Dev
3
4
5
UI Design
1
2
2
QA
1
2
2
GameDay Ops
3
5
7
Sales/Admin
2
2
2
MITIGATED RISKS
Client Support
2
3
4
• Managing Partners are proven operators
Total
12
18
22
• Strategic Partner(s) sought; aligning interests • Access and credibility are the ask • Convert or Equity; targeting raise of $1M - $5M • Proceeds to fund initial rollout and personnel expansion
• Unique data, mathematic, IP, and leadership skills • Business scales only when clients emerge
BOARD/ ADVISORY BOARD • Open for Board representation • Advisory Board buildout -
Academemics, practitioners, influencers
THANK YOU.
[email protected]
