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MARCO
Transform the web into your personal
library

Day 1 Interviews: 17
Day 2 Interviews: 14
Day 3 Interviews: 11
Day 4 Interviews: 25
Total Interviews: 67

Team 21 Day 5:
Duare Perez Alonso
Mariano Payano
Arvind Seth
Do you ever wish you knew what websites your
friend visited to choose her latest outfit?
Do you ever wish you could show your friends how
much you really know about football?
Do you ever wish your friends could see and use
your favorite recipes?
Do you ever wish you could tag a product you see
on any website and have someone work on sourcing
you an offer?
Model Canvas (Day 1)
7. Key
Partners:

5. Key
Activities:

1. Value
Proposition:

4. Customer
Relationships:

2. Customer
Segments:

• Existing Similar
Research Based
Models: Groupon
, Pinterest, Yelp, etc.
• Ambassadors, Powe
r Users, Content
Developers
• Server &
Infrastructure
Providers
• Analytics & Business
partners (eg. Google
Analytics, Diffbot)

• Marketing
• Data management
• Partnership
formation
• Account mgmt.
• Web & app dev.

We believe in the
power of learning from
others.
End Users:
We organize your webprint, so that you can
see it, change it, build
on it and securely
share it with the world.
Business Partners:
We don’t share user
data to create
demand, we influence
demand by sharing
with our users targeted
offers from our
business partners.

End Users:
Advertising, Marketing,
Beta Release
Business Partners:
Consult them regularly
for offers.

End Users:
Mobile phone and
computer users
interested in
capturing, viewing and
in some cases sharing
their web-print.

3. Channels:

Business Partners:
Initially online flash sale
providers whose senior
management we have
access to:
Expedia, Travelzoo, Stre
etEasy, Zillow. We will
pivot based on user
preference.

6. Key
Resources:
•
•
•
•

IT Infrastructure
Software developers
Sales force
End User and
Business Partner
databases

End User:
Website and mobile app.
Business Partners:
Personal relationships
and web analytics
portal.

9. Cost Structure:

8. Revenue Streams:

• IT Maintenance
• Domain ownership
• End User & Business Partner acquisition

• Revenue shares from business partner offers
• Display and click through advertising
• Placement charges

Monday Interviews: 17
What We Learned? (Day 1)
Hypotheses
Users want to see a breakdown
of their browsing history

Experiments
•

Users want a better organizer for •
sites they access and want to revisit

Conduct interviews with
everyday web surfers
Speak to academics or heavy
researchers (eg. Professors,
Students, etc.)

Results
Casual Users: 50% no
Heavy Users: 50% yes
Yes, mainly for academics or
heavy researchers

Users are willing to pay for an
organizer

•

Examine how people use
current bookmarking
features

Yes, but < $10 annually

Users want to be informed of
their friends’ browsing history

•

Present users with other
tools and ask for opinion

Yes, want to be able to get
recommended sites and follow
what others are viewing

•

Observe users as they
browse the web or shop for a
particular item online

Yes, but only for frequent online
shoppers

Users want personalized deals
Business partners are willing to
make offers

•

Present a wireframe of the
suggested platform

Need Answer
Model Canvas (Day 2)
7. Key
Partners:

5. Key
Activities:

1. Value
Proposition:

4. Customer
Relationships:

• Existing Similar
Research Based
Models: Groupon
, Pinterest, Yelp, etc.
• Ambassadors, Powe
r Users, Content
Developers
• Server &
Infrastructure
Providers
• Analytics & Business
partners (eg. Google
Analytics, Diffbot)

• Marketing
• Data management
• Partnership
formation
• Account mgmt.
• Web & app dev.

End Users:
We organize your webprint, so that you can
Transform theit, build
see it, change web into
your and securely by:
on it personal library
• Auto-generating
share it with the world.
bookmarks
• Storing web history to
provide quick recall
• See other friend’s
libraries
• Personalizing product
offers
Business Partners:
We don’t share user
data to create
demand, we influence
Provide highly-focused
demand by sharing
and targeted offers
with our users targeted
offers from our
business partners.

End Users:
Advertising, Marketing,
Advertising, Marketing,
Beta Release
Beta Release

6. Key
Resources:
•
•
•
•

IT Infrastructure
Software developers
Sales force
End User and
Business Partner
databases

Business Partners:
Consult them regularly
Consult them regularly for
for offers.
offers.

3. Channels:
End User:
Website and mobile app.
Website and mobile app.
Business Partners:
Personal relationships
Personal relationships and
and web analytics
web analytics portal.
portal.

2. Customer
Segments:
End Users:
Mobile phone and
Mobile phone
computer usersand
computer users
interested in capturing,
interested in some
viewing andin capturing,
viewing and their webcases sharingin some cases
sharing
print. their web-print.
Business Partners:
Initially online flash sale
Initially online flash sale
providers whose senior
providers whose senior
management we have
management we have
access to: Expedia,
access to:
Travelzoo, StreetEasy,
Expedia, Travelzoo, Street
Zillow. We will pivot
Easy, Zillow. We will pivot
based on user
based on user preference.
preference.

9. Cost Structure:

8. Revenue Streams:

• IT Maintenance
• Domain ownership
• End User & Business Partner acquisition

• Revenue shares from business partner Partners:
Business offers
• Display and click through advertising
• Revenue shares from business partner
• Placement charges
offers

Tuesday Interviews: 14

End Users: Freemium

• Display and click through advertising
• Placement charges
What We Learned? (Day 2)
Hypotheses
Users want to see a breakdown
of their browsing history

Experiments
•

Users want a better organizer for •
sites they access and want to revisit

Conduct interviews with
everyday web surfers
Speak to academics or heavy
researchers (eg. Professors,
Students, etc.)

Results
Casual Users: 80% no
Heavy Users: 20% yes

Yes, mainly for academics or
heavy researchers

Users are willing to pay for an
organizer

•

Examine how people use
current bookmarking
features

Yes, but < $100 annually

Users want to be informed of
their friends’ browsing history

•

Present users with other
tools and ask for opinion

Yes, want to be able to get
recommended sites and follow
what others are viewing

•

Observe users as they
browse the web or shop for a
particular item online

Yes, but only for frequent online
shoppers

Users want personalized deals
Business partners are willing to
make offers

•

Present a wireframe of the
suggested platform

Need Answer
Model Canvas (Day 3)
7. Key
Partners:

5. Key
Activities:

1. Value
Proposition:

4. Customer
Relationships:

• Existing Similar
Research Based
Models: Groupon
, Pinterest, Yelp, etc.
• Ambassadors, Powe
r Users, Content
Developers
• Server &
Infrastructure
Providers
• Analytics & Business
partners (eg. Google
Analytics, Diffbot)

• Marketing
• Data management
• Partnership
formation
• Account mgmt.
• Web & app dev.

End Users:
We organize your webTransform the web into
print,personalyou can by:
your so that library
seeAuto-generating
• it, change it, build
on bookmarks
it and securely
share it with the world.to
• Storing web history

End Users:
Advertising, Marketing, B
Advertising, Marketing,
eta Release
Beta Release
Shoppers: Marketing/Ads,
Better Offers, Rewards
Business Partners:
Consult them regularly for
Consult them regularly for
offers.
offers

6. Key
Resources:
•
•
•
•

IT Infrastructure
Software developers
Sales force
End User and
Business Partner
databases

provide quick recall
• See other friend’s
libraries
• Personalizing product
offers
Shoppers:
Provide personalized
Shoppers:
offers
Business Partners:
We don’t share user
data to create demand,
Provide highly-focused
we influence demand
and targeted offers
by sharing with our
users targeted offers

3. Channels:
End User:
Website and mobile app.
Website and mobile app.
Shoppers:
Website, mobile app
Business Partners:
Personal relationships
• Personal relationships
andand web analytics and
web relationships
Personalanalytics
portal.
web analytics portal.
portal.
• Sales Force

2. Customer
Segments:
End Users:
Mobile phone and
• Content Seekers:
Mobile phone
computer usersand
Academics, Researches
computer users
interested in >3hrs/week
spending capturing,
interested in some
viewing andin capturing,
searching, documenting
viewing and their webcases sharingin some cases
sharing
print. their web-print.
Shoppers:
• Online Shoppers:
Online shoppers who
spend ~$20+ per month
Business Partners:
Initially online flash sale
Initially online flash sale
providers whose senior
providers whose senior
management we have
management we have
access to: Expedia,
access to:
Travelzoo, StreetEasy,
Expedia, Travelzoo, Street
Zillow. We will pivot
Easy, Zillow. We will pivot
based on user
based on user preference.
preference.

9. Cost Structure:

8. Revenue Streams:

• IT Maintenance
• Domain ownership
• End User & Business Partner acquisition

• Revenue shares from business partner Partners:
Business offers
• Display and click through advertising
• Revenue shares from business partner
• Placement charges
offers
End Users: Freemium

Wednesday Interviews: 11

Shoppers: Freemium

• Display and click through advertising
• Placement charges
What We Learned? (Day 3)
Hypotheses
Users want to see a breakdown
of their browsing history

Experiments
•

Users want a better organizer for •
sites they access and want to revisit

Conduct interviews with
everyday web surfers
Speak to academics or heavy
researchers (eg. Professors,
Students, etc.)

Results
Casual Users: 90% no
Heavy Users: 10% yes
Yes, mainly for academics or
heavy researchers

Users are willing to pay for an
organizer

•

Examine how people use
current bookmarking
features

Yes, but < $45 annually

Users want to be informed of
their friends’ browsing history

•

Present users with other
tools and ask for opinion

Yes, want to be able to get
recommended sites and follow
what others are viewing

•

Observe users as they
browse the web or shop for a
particular item online

Yes, but only for frequent online
shoppers

Users want personalized deals
Business partners are willing to
make offers

•

Present a wireframe of the
suggested platform

Need Answer
Model Canvas (Day 4)
7. Key
Partners:

5. Key
Activities:

1. Value
Proposition:

4. Customer
Relationships:

• Existing Similar
Research Based
Models: Groupon ,
Pinterest, Yelp, etc.
• Ambassadors,
Power Users,
Content Developers
• Server &
Infrastructure
Providers
• Analytics & Business
partners (eg. Google
Analytics, Diffbot)

• Marketing
• Data management
• Partnership
formation
• Account mgmt.
• Web & app dev.

End Users:
We organize your webTransform the web into
Transform the web into
print,personalyou can by:
your so that library
your personal it, buildby:
library
seeAuto-generating
• it, change
• Auto-generating
on bookmarks
it and securely
bookmarks
share it with the world.to
• Storing web history
• Storing web history to
provide quick recall
provide quick recall
• See other friend’s
• Sharing with you other
libraries
friend’s libraries
• Personalizing product
offers
Shoppers:
Provide personalized
Shoppers:
offers
Business Partners:
We don’t share user
data to create demand,
Provide highly-focused
we influence demand
and targeted offers
by sharing with our
users targeted offers

End Users:
Advertising, Marketing,
Advertising, Marketing,
Beta Release
Beta Release
Shoppers: Marketing/Ads,
Better Offers, Rewards
Business Partners:
Consult them regularly for
Consult them regularly for
offers.
offers

6. Key
Resources:
•
•
•
•

IT Infrastructure
Software developers
Sales force
End User and
Business Partner
databases

3. Channels:
End User:
Website and mobile app.
Website and mobile app.
Shoppers:
Website, mobile app
Business Partners:
Personal relationships
• Personal relationships
and web web analytics and
Personalanalytics
and relationships
portal.
web analytics portal.
portal.
• Sales Force

2. Customer
Segments:
End Users:
Mobile phone and
• Content Seekers:
Mobile phone
computer usersand
Academics, Researchers
computer users
interested in >3hrs/week
spending capturing,
interested in capturing,
viewing and indocumenting
searching, some
viewing and their webcases sharingin some cases
sharing
print. their web-print.

Shoppers:
• Online Shoppers:
Online shoppers who
spend ~$20+ per month
Business Partners:
Initially online flash sale
Initially online flash sale
providers whose senior
providers whose senior
management we have
management we have
access to: Expedia,
access to:
Travelzoo, StreetEasy,
Expedia, Travelzoo, Street
Zillow. We will pivot
Easy, Zillow. We will pivot
based on user
based on user preference.
preference.

9. Cost Structure:

8. Revenue Streams:

• IT Maintenance
• Domain ownership
• End User & Business Partner acquisition

• Revenue shares from business partner Partners:
Business offers
• Display and click through advertising
• Revenue shares from business partner
• Placement charges
offers

Thursday Interviews: 25

End Users: Freemium
Shoppers: Freemium

• Display and click through advertising
• Placement charges
What We Learned? (Day 4)
Hypotheses
Users want to see a breakdown
of their browsing history

Experiments
•

Users want a better organizer for •
sites they access and want to revisit

Conduct interviews with
everyday web surfers
Speak to academics or heavy
researchers (eg. Professors,
Students, etc.)

Results
Casual Users: 90% no
Heavy Users: 10% yes
Yes, mainly for academics or
heavy researchers

Users are willing to pay for an
organizer

•

Examine how people use
current bookmarking
features

Yes, but < $45 annually

Users want to be informed of
their friends’ browsing history

•

Present users with other
tools and ask for opinion

Yes, want to be able to get
recommended sites and follow
what others are viewing

•

Observe users as they
browse the web or shop for a
particular item online

Yes, but only for frequent online
shoppers

Users want personalized deals
Business partners are willing to
make offers

•

Present a wireframe of the
suggested platform

Need Answer
Model Canvas (Day 5)
7. Key
Partners:

5. Key
Activities:

1. Value
Proposition:

4. Customer
Relationships:

• Existing Similar
Research Based
Models: Groupon ,
Pinterest, Yelp, etc.
• Champions, Power
Users, Content
Developers
• Server &
Infrastructure
Providers
• Analytics & Business
partners (eg. Google
Analytics, Diffbot)

• Marketing
• Data management
• Web & app dev.

End Users:
We organize your webTransform the web into
print, so that you can
your personal library by:
seeAuto-generating
• it, change it, build
on bookmarks
it and securely
share it with the world.
• Storing web history to
provide quick recall
• See other friend’sother
Sharing with you
librarieslibraries
friend’s
• Personalizing product
offers
Shoppers:
Provide personalized
Shoppers:
offers
Business Partners:
We don’t share user
data to create
Provide highly-focused
demand, we influence
and targeted offers
demand by sharing
with our users targeted
offers

End Users:
Advertising, Marketing,
Get: Advertising, Marketing,
Beta Release
Beta Release
Shoppers: Marketing/Ads,
Keep: Simplicity, UX, privacy
Better Offers, Rewards
Business Partners:
Grow: New Features,
Consult them regularly for
Consult them regularly for
Reward Programs, Referrals
offers.
offers

6. Key
Resources:
• IT Infrastructure
• Software developers
• End User databases

3. Channels:
End User:
Website and mobile app.
Website and mobile app.
Shoppers:
Website, mobile app
Business Partners:
Personal relationships
• Personal relationships
andand web analytics and
web relationships
Personalanalytics
portal.
web analytics portal.
portal.
• Sales Force

2. Customer
Segments:
End Users:
Mobile phone and
• Casual:
Mobile phone
computer usersand
Content Seekers, regular
computer users
interested in
users of Pinterest,
interested in capturing,
capturing, viewing and
Evernote, Insta-paper
viewing and in some
in some for content cases
sharing
looking casesweb-print.
sharing their
their web-print.
discovery and note
retention.
Shoppers:
• Online Shoppers:
• Heavy: shoppers who
Online
Seasoned professionals (
spend ~$20+ per month
eg. lawyers, businessmen,
Business Partners: who
doctors), professors)
Initially online flash sale
need to store, organize
Initially online flash sale
providers whoseopinions
and share links, senior
providers whose senior
management wecontent
and out-of-web have
management we have
access to:
access to: Expedia,
Expedia, Travelzoo, Stre
Travelzoo, StreetEasy,
etEasy, Zillow. We will
Zillow. We will pivot
pivot based on user
based on user preference.
preference.

9. Cost Structure:

8. Revenue Streams:

• IT Maintenance
• Domain ownership
• End User acquisition

• End Users: shares from business partner Partners:
Revenue Freemium
Business offers
• Content Seekers – throughheavy web users shares from business partner
Display and click regular advertising
• Revenue – content seekers, Pinterest,
• Evernote & Instapaper users - Free
Placement charges
offers
Seasoned Professionals – 4.99$/month or 45$/year premium service for
• Display and click through advertising
extra storage/sharing/uploads • Placement charges
Shoppers: Freemium
Customer Segment:
End User Archetypes
Casual User:
Joe Browse
• Regular content seeker:
Pinterest, Evernote, Instapaper
user
• Accesses content related to:
– Research projects, job function
– News, blogs, forums
– Goods, services looking to
purchase
– Personal interests

Heavy User:
Professor Store
• Seasoned professional
• Need for organizing and
sharing web content and
personal opinion
• Constant use of web to stay
up to date on field news,
colleague discoveries, etc.
Free Market Size
Total Addressable
Market
(80M)

Served Available
Market
(32M)

Target
Market
(3.2M)

Pinterest /
Evernote users
(80M)
40% of users
(32M)

10% of users
(3.2M)
Premium Market Size
Total Addressable
Market
(60M)

Served Available
Market
(6M)

NYC 20-60 year olds (5M)
x30% affluent (1.5M)
x40 cities
(60M)
10% Heavy Web users
(6M)

5%
(300,000)

Target
Market
(300,000)
300,000 x $45 x 45% = $6M
Channels/Revenue Model
Free (Casual Users)
WebApp
(Chrome)

Chrome
Store

Review Sites:
MARCO
website

Mobile
App
(IOS/
Droid)

Apple &
Chrome
Top 10
Lists

Apple &
Chrome
Stores

Apple &
Chrome
Store top 10
lists
Review Sites
(Bloggers,
Wired)

SEO
(Paid google
adds)
SEO

Premium (Heavy Users)
$45/yr

MARCO

Apple &
Chrome
Store

Google Ads,
Words

MARCO
Champions

45%

30%

20%

5%
What Will We Do Next?
Areas of Focus
• Continue to refine the archetype of a potential end user
• Decide on which specific functionality we want to focus on that provides the most
value to our identified end user
• Further study of competition especially similar applications
• Create a tutorial for potential end users to better understand the Marco concept
• Launched www.marcolibrary.com
Define a clear MVP to re-test and re-do customer discovery based on pivots
• Go out and interview potential free and paid users

• Rinse and Repeat
APPENDIX
Customer Relationships
• Diversification
of features
• Integration of
profile habits
and targeted
interests

Owned Media:
Website,
Mobile app

Paid Media:
Ads, Marketing

Earned Media:
Existing user invites,
recommendations

KEEP

GET
•
•
•
•

Champion Programs
Shopping Rewards
Product Updates
E-mails, RSS

GROW

• Autoorganization
of accessed
content
• Better
sourced and
better priced
deals
• Referral
Program
Get Strategy Explained
Host Website

Viral Video

User Education: Tutorials

Invite Users

Get People Talking

Increase Prominence

Bloggers, Recommenders,
Industry moguls

SEO Process, Paid Ads
Competitive Landscape
Search
Engine

Research/Learning
Tools

> $40Bn

>$8bn

MARCO

> $5Bn
Social
Networking

> $5Bn
Customer
Review
Platform
Competitor

Est. # of
Monthly
Users

Google
Bookmar
ks

120M

StumbleU
pon

26M

Diigo
1.1M
Delicious
650,000
Xmarks
NA

Sync
Bookmark
s

Public
Bookmarks

Sharing

Annotate

Recommend

Content
Discovery

Push Offers
Team
• Technology
Arvind Seth

• End Users
Mariano Payano

• Product
Duare Perez Alonso

•
•
•

Columbia EMBA 2014, Masters and
Undergrad in Computer Science
A decade of professional software
development (c++, JavaScript, ios/obj c)
Strong interest in user experience and UI
design

•
•
•

Columbia Engineering 2014
Morgan Stanley Investment Banking Analyst
Global citizen, problem-solver, language
fanatic

•
•
•

Columbia EMBA 2014, Oxford undergrad
Swiss Re (VP) Business Manager
Spanish banana mogul, ironman and
teaching enthusiast
Hypothesis

Type

Experiment

Pass?

Fail?

1. Users are
willing to share
browsing
information
provided the
privacy terms are
clearly defined.

Product

Will you allow the application to
index and save your browsing
information. Will you be
interested in sharing any links
with others explicitly

I currently use
bookmark tools
(ex. Diigo). I
share links with
friends.

No. I do not want
any browsing
history stored even
if I have the ability
to turn off specific
sites

2. User will access Channel(Mobile)
their personal
library and web
history on a
mobile device,

Do you browse extensively on a
mobile device? Would you
access your personal web library
on a mobile device ?

I browse on a
mobile device
especially when
travelling. I also
use offline
readers such as
instapaper.

No. I only see quick
links on the mobile
device

3. User will
search for
multiple sites for
information
simultaneously

Product

When searching for information
on a topic (ex. Research, news,
travel) do you have multiple tabs
open on the browser?

Yes. I also rely on
chrome (or
browser) to
maintain my
saved tabs as I
access them
again

No. I normally
search or browser
for specific sites
serially

4. User will revisit
sites searched
some days or
weeks back

Product

Do you ever find yourself
browsing history to find
information about a topic you
looked at several days back?

I find myself
doing that
frequently. I
have tried
bookmarking but

No. I rarely ever
revisit history or I
start my search
anew on most
topics
Hypothesis

Type

Experiment

Pass?

Fail?

1. Users read
reviews on app
store or well
known review
website

GET Strategy

How do you search for a new
mobile app?

I search by
keywords but
also see app
store rankings,
blogs and
reviews. (ex. /.)

No. I know the app
or search by
keywords

2. Users search for
apps/websites on
google and click
on paid ads

GET Strategy

Do you search for software
products on google?

I frequently
search for new
software
products on
google and click
on paid ads.

I rarely click on
paid ads or I use
other avenues

3. User will search
for chrome plugins
on chrome store

Channel/GET
Strategy

How do you hear about and
download new chrome plugins

I search for new
extensions on
chrome store

I rarely use
chrome store.

4. Users follow
recommendations
from well known
reviewers,
champions or
friends

GET Strategy

Have you ever purchased an
application based on
recommendations from a blog,
review, facebook friends or
someone you follow on twitter

Yes. That is the
primary way to
purchase apps.

No.
Wireframe
Dashboard

Saved Webs Links

Saved Content

Friends

<Search Dashboard>

Business

Society

Sports

People
Politics

Belief
Arts

Technology
Concepts

Health

Education
Wireframe (cont.)
Dashboard

Saved Webs Links

<Search Webs Links>

Saved Content

Friends
App Mock-Up
THANK YOU !!

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Marco columbia univ jan 2014

  • 1. MARCO Transform the web into your personal library Day 1 Interviews: 17 Day 2 Interviews: 14 Day 3 Interviews: 11 Day 4 Interviews: 25 Total Interviews: 67 Team 21 Day 5: Duare Perez Alonso Mariano Payano Arvind Seth
  • 2. Do you ever wish you knew what websites your friend visited to choose her latest outfit? Do you ever wish you could show your friends how much you really know about football? Do you ever wish your friends could see and use your favorite recipes? Do you ever wish you could tag a product you see on any website and have someone work on sourcing you an offer?
  • 3. Model Canvas (Day 1) 7. Key Partners: 5. Key Activities: 1. Value Proposition: 4. Customer Relationships: 2. Customer Segments: • Existing Similar Research Based Models: Groupon , Pinterest, Yelp, etc. • Ambassadors, Powe r Users, Content Developers • Server & Infrastructure Providers • Analytics & Business partners (eg. Google Analytics, Diffbot) • Marketing • Data management • Partnership formation • Account mgmt. • Web & app dev. We believe in the power of learning from others. End Users: We organize your webprint, so that you can see it, change it, build on it and securely share it with the world. Business Partners: We don’t share user data to create demand, we influence demand by sharing with our users targeted offers from our business partners. End Users: Advertising, Marketing, Beta Release Business Partners: Consult them regularly for offers. End Users: Mobile phone and computer users interested in capturing, viewing and in some cases sharing their web-print. 3. Channels: Business Partners: Initially online flash sale providers whose senior management we have access to: Expedia, Travelzoo, Stre etEasy, Zillow. We will pivot based on user preference. 6. Key Resources: • • • • IT Infrastructure Software developers Sales force End User and Business Partner databases End User: Website and mobile app. Business Partners: Personal relationships and web analytics portal. 9. Cost Structure: 8. Revenue Streams: • IT Maintenance • Domain ownership • End User & Business Partner acquisition • Revenue shares from business partner offers • Display and click through advertising • Placement charges Monday Interviews: 17
  • 4. What We Learned? (Day 1) Hypotheses Users want to see a breakdown of their browsing history Experiments • Users want a better organizer for • sites they access and want to revisit Conduct interviews with everyday web surfers Speak to academics or heavy researchers (eg. Professors, Students, etc.) Results Casual Users: 50% no Heavy Users: 50% yes Yes, mainly for academics or heavy researchers Users are willing to pay for an organizer • Examine how people use current bookmarking features Yes, but < $10 annually Users want to be informed of their friends’ browsing history • Present users with other tools and ask for opinion Yes, want to be able to get recommended sites and follow what others are viewing • Observe users as they browse the web or shop for a particular item online Yes, but only for frequent online shoppers Users want personalized deals Business partners are willing to make offers • Present a wireframe of the suggested platform Need Answer
  • 5. Model Canvas (Day 2) 7. Key Partners: 5. Key Activities: 1. Value Proposition: 4. Customer Relationships: • Existing Similar Research Based Models: Groupon , Pinterest, Yelp, etc. • Ambassadors, Powe r Users, Content Developers • Server & Infrastructure Providers • Analytics & Business partners (eg. Google Analytics, Diffbot) • Marketing • Data management • Partnership formation • Account mgmt. • Web & app dev. End Users: We organize your webprint, so that you can Transform theit, build see it, change web into your and securely by: on it personal library • Auto-generating share it with the world. bookmarks • Storing web history to provide quick recall • See other friend’s libraries • Personalizing product offers Business Partners: We don’t share user data to create demand, we influence Provide highly-focused demand by sharing and targeted offers with our users targeted offers from our business partners. End Users: Advertising, Marketing, Advertising, Marketing, Beta Release Beta Release 6. Key Resources: • • • • IT Infrastructure Software developers Sales force End User and Business Partner databases Business Partners: Consult them regularly Consult them regularly for for offers. offers. 3. Channels: End User: Website and mobile app. Website and mobile app. Business Partners: Personal relationships Personal relationships and and web analytics web analytics portal. portal. 2. Customer Segments: End Users: Mobile phone and Mobile phone computer usersand computer users interested in capturing, interested in some viewing andin capturing, viewing and their webcases sharingin some cases sharing print. their web-print. Business Partners: Initially online flash sale Initially online flash sale providers whose senior providers whose senior management we have management we have access to: Expedia, access to: Travelzoo, StreetEasy, Expedia, Travelzoo, Street Zillow. We will pivot Easy, Zillow. We will pivot based on user based on user preference. preference. 9. Cost Structure: 8. Revenue Streams: • IT Maintenance • Domain ownership • End User & Business Partner acquisition • Revenue shares from business partner Partners: Business offers • Display and click through advertising • Revenue shares from business partner • Placement charges offers Tuesday Interviews: 14 End Users: Freemium • Display and click through advertising • Placement charges
  • 6. What We Learned? (Day 2) Hypotheses Users want to see a breakdown of their browsing history Experiments • Users want a better organizer for • sites they access and want to revisit Conduct interviews with everyday web surfers Speak to academics or heavy researchers (eg. Professors, Students, etc.) Results Casual Users: 80% no Heavy Users: 20% yes Yes, mainly for academics or heavy researchers Users are willing to pay for an organizer • Examine how people use current bookmarking features Yes, but < $100 annually Users want to be informed of their friends’ browsing history • Present users with other tools and ask for opinion Yes, want to be able to get recommended sites and follow what others are viewing • Observe users as they browse the web or shop for a particular item online Yes, but only for frequent online shoppers Users want personalized deals Business partners are willing to make offers • Present a wireframe of the suggested platform Need Answer
  • 7. Model Canvas (Day 3) 7. Key Partners: 5. Key Activities: 1. Value Proposition: 4. Customer Relationships: • Existing Similar Research Based Models: Groupon , Pinterest, Yelp, etc. • Ambassadors, Powe r Users, Content Developers • Server & Infrastructure Providers • Analytics & Business partners (eg. Google Analytics, Diffbot) • Marketing • Data management • Partnership formation • Account mgmt. • Web & app dev. End Users: We organize your webTransform the web into print,personalyou can by: your so that library seeAuto-generating • it, change it, build on bookmarks it and securely share it with the world.to • Storing web history End Users: Advertising, Marketing, B Advertising, Marketing, eta Release Beta Release Shoppers: Marketing/Ads, Better Offers, Rewards Business Partners: Consult them regularly for Consult them regularly for offers. offers 6. Key Resources: • • • • IT Infrastructure Software developers Sales force End User and Business Partner databases provide quick recall • See other friend’s libraries • Personalizing product offers Shoppers: Provide personalized Shoppers: offers Business Partners: We don’t share user data to create demand, Provide highly-focused we influence demand and targeted offers by sharing with our users targeted offers 3. Channels: End User: Website and mobile app. Website and mobile app. Shoppers: Website, mobile app Business Partners: Personal relationships • Personal relationships andand web analytics and web relationships Personalanalytics portal. web analytics portal. portal. • Sales Force 2. Customer Segments: End Users: Mobile phone and • Content Seekers: Mobile phone computer usersand Academics, Researches computer users interested in >3hrs/week spending capturing, interested in some viewing andin capturing, searching, documenting viewing and their webcases sharingin some cases sharing print. their web-print. Shoppers: • Online Shoppers: Online shoppers who spend ~$20+ per month Business Partners: Initially online flash sale Initially online flash sale providers whose senior providers whose senior management we have management we have access to: Expedia, access to: Travelzoo, StreetEasy, Expedia, Travelzoo, Street Zillow. We will pivot Easy, Zillow. We will pivot based on user based on user preference. preference. 9. Cost Structure: 8. Revenue Streams: • IT Maintenance • Domain ownership • End User & Business Partner acquisition • Revenue shares from business partner Partners: Business offers • Display and click through advertising • Revenue shares from business partner • Placement charges offers End Users: Freemium Wednesday Interviews: 11 Shoppers: Freemium • Display and click through advertising • Placement charges
  • 8. What We Learned? (Day 3) Hypotheses Users want to see a breakdown of their browsing history Experiments • Users want a better organizer for • sites they access and want to revisit Conduct interviews with everyday web surfers Speak to academics or heavy researchers (eg. Professors, Students, etc.) Results Casual Users: 90% no Heavy Users: 10% yes Yes, mainly for academics or heavy researchers Users are willing to pay for an organizer • Examine how people use current bookmarking features Yes, but < $45 annually Users want to be informed of their friends’ browsing history • Present users with other tools and ask for opinion Yes, want to be able to get recommended sites and follow what others are viewing • Observe users as they browse the web or shop for a particular item online Yes, but only for frequent online shoppers Users want personalized deals Business partners are willing to make offers • Present a wireframe of the suggested platform Need Answer
  • 9. Model Canvas (Day 4) 7. Key Partners: 5. Key Activities: 1. Value Proposition: 4. Customer Relationships: • Existing Similar Research Based Models: Groupon , Pinterest, Yelp, etc. • Ambassadors, Power Users, Content Developers • Server & Infrastructure Providers • Analytics & Business partners (eg. Google Analytics, Diffbot) • Marketing • Data management • Partnership formation • Account mgmt. • Web & app dev. End Users: We organize your webTransform the web into Transform the web into print,personalyou can by: your so that library your personal it, buildby: library seeAuto-generating • it, change • Auto-generating on bookmarks it and securely bookmarks share it with the world.to • Storing web history • Storing web history to provide quick recall provide quick recall • See other friend’s • Sharing with you other libraries friend’s libraries • Personalizing product offers Shoppers: Provide personalized Shoppers: offers Business Partners: We don’t share user data to create demand, Provide highly-focused we influence demand and targeted offers by sharing with our users targeted offers End Users: Advertising, Marketing, Advertising, Marketing, Beta Release Beta Release Shoppers: Marketing/Ads, Better Offers, Rewards Business Partners: Consult them regularly for Consult them regularly for offers. offers 6. Key Resources: • • • • IT Infrastructure Software developers Sales force End User and Business Partner databases 3. Channels: End User: Website and mobile app. Website and mobile app. Shoppers: Website, mobile app Business Partners: Personal relationships • Personal relationships and web web analytics and Personalanalytics and relationships portal. web analytics portal. portal. • Sales Force 2. Customer Segments: End Users: Mobile phone and • Content Seekers: Mobile phone computer usersand Academics, Researchers computer users interested in >3hrs/week spending capturing, interested in capturing, viewing and indocumenting searching, some viewing and their webcases sharingin some cases sharing print. their web-print. Shoppers: • Online Shoppers: Online shoppers who spend ~$20+ per month Business Partners: Initially online flash sale Initially online flash sale providers whose senior providers whose senior management we have management we have access to: Expedia, access to: Travelzoo, StreetEasy, Expedia, Travelzoo, Street Zillow. We will pivot Easy, Zillow. We will pivot based on user based on user preference. preference. 9. Cost Structure: 8. Revenue Streams: • IT Maintenance • Domain ownership • End User & Business Partner acquisition • Revenue shares from business partner Partners: Business offers • Display and click through advertising • Revenue shares from business partner • Placement charges offers Thursday Interviews: 25 End Users: Freemium Shoppers: Freemium • Display and click through advertising • Placement charges
  • 10. What We Learned? (Day 4) Hypotheses Users want to see a breakdown of their browsing history Experiments • Users want a better organizer for • sites they access and want to revisit Conduct interviews with everyday web surfers Speak to academics or heavy researchers (eg. Professors, Students, etc.) Results Casual Users: 90% no Heavy Users: 10% yes Yes, mainly for academics or heavy researchers Users are willing to pay for an organizer • Examine how people use current bookmarking features Yes, but < $45 annually Users want to be informed of their friends’ browsing history • Present users with other tools and ask for opinion Yes, want to be able to get recommended sites and follow what others are viewing • Observe users as they browse the web or shop for a particular item online Yes, but only for frequent online shoppers Users want personalized deals Business partners are willing to make offers • Present a wireframe of the suggested platform Need Answer
  • 11. Model Canvas (Day 5) 7. Key Partners: 5. Key Activities: 1. Value Proposition: 4. Customer Relationships: • Existing Similar Research Based Models: Groupon , Pinterest, Yelp, etc. • Champions, Power Users, Content Developers • Server & Infrastructure Providers • Analytics & Business partners (eg. Google Analytics, Diffbot) • Marketing • Data management • Web & app dev. End Users: We organize your webTransform the web into print, so that you can your personal library by: seeAuto-generating • it, change it, build on bookmarks it and securely share it with the world. • Storing web history to provide quick recall • See other friend’sother Sharing with you librarieslibraries friend’s • Personalizing product offers Shoppers: Provide personalized Shoppers: offers Business Partners: We don’t share user data to create Provide highly-focused demand, we influence and targeted offers demand by sharing with our users targeted offers End Users: Advertising, Marketing, Get: Advertising, Marketing, Beta Release Beta Release Shoppers: Marketing/Ads, Keep: Simplicity, UX, privacy Better Offers, Rewards Business Partners: Grow: New Features, Consult them regularly for Consult them regularly for Reward Programs, Referrals offers. offers 6. Key Resources: • IT Infrastructure • Software developers • End User databases 3. Channels: End User: Website and mobile app. Website and mobile app. Shoppers: Website, mobile app Business Partners: Personal relationships • Personal relationships andand web analytics and web relationships Personalanalytics portal. web analytics portal. portal. • Sales Force 2. Customer Segments: End Users: Mobile phone and • Casual: Mobile phone computer usersand Content Seekers, regular computer users interested in users of Pinterest, interested in capturing, capturing, viewing and Evernote, Insta-paper viewing and in some in some for content cases sharing looking casesweb-print. sharing their their web-print. discovery and note retention. Shoppers: • Online Shoppers: • Heavy: shoppers who Online Seasoned professionals ( spend ~$20+ per month eg. lawyers, businessmen, Business Partners: who doctors), professors) Initially online flash sale need to store, organize Initially online flash sale providers whoseopinions and share links, senior providers whose senior management wecontent and out-of-web have management we have access to: access to: Expedia, Expedia, Travelzoo, Stre Travelzoo, StreetEasy, etEasy, Zillow. We will Zillow. We will pivot pivot based on user based on user preference. preference. 9. Cost Structure: 8. Revenue Streams: • IT Maintenance • Domain ownership • End User acquisition • End Users: shares from business partner Partners: Revenue Freemium Business offers • Content Seekers – throughheavy web users shares from business partner Display and click regular advertising • Revenue – content seekers, Pinterest, • Evernote & Instapaper users - Free Placement charges offers Seasoned Professionals – 4.99$/month or 45$/year premium service for • Display and click through advertising extra storage/sharing/uploads • Placement charges Shoppers: Freemium
  • 12. Customer Segment: End User Archetypes Casual User: Joe Browse • Regular content seeker: Pinterest, Evernote, Instapaper user • Accesses content related to: – Research projects, job function – News, blogs, forums – Goods, services looking to purchase – Personal interests Heavy User: Professor Store • Seasoned professional • Need for organizing and sharing web content and personal opinion • Constant use of web to stay up to date on field news, colleague discoveries, etc.
  • 13. Free Market Size Total Addressable Market (80M) Served Available Market (32M) Target Market (3.2M) Pinterest / Evernote users (80M) 40% of users (32M) 10% of users (3.2M)
  • 14. Premium Market Size Total Addressable Market (60M) Served Available Market (6M) NYC 20-60 year olds (5M) x30% affluent (1.5M) x40 cities (60M) 10% Heavy Web users (6M) 5% (300,000) Target Market (300,000) 300,000 x $45 x 45% = $6M
  • 15. Channels/Revenue Model Free (Casual Users) WebApp (Chrome) Chrome Store Review Sites: MARCO website Mobile App (IOS/ Droid) Apple & Chrome Top 10 Lists Apple & Chrome Stores Apple & Chrome Store top 10 lists Review Sites (Bloggers, Wired) SEO (Paid google adds) SEO Premium (Heavy Users) $45/yr MARCO Apple & Chrome Store Google Ads, Words MARCO Champions 45% 30% 20% 5%
  • 16. What Will We Do Next? Areas of Focus • Continue to refine the archetype of a potential end user • Decide on which specific functionality we want to focus on that provides the most value to our identified end user • Further study of competition especially similar applications • Create a tutorial for potential end users to better understand the Marco concept • Launched www.marcolibrary.com Define a clear MVP to re-test and re-do customer discovery based on pivots • Go out and interview potential free and paid users • Rinse and Repeat
  • 18. Customer Relationships • Diversification of features • Integration of profile habits and targeted interests Owned Media: Website, Mobile app Paid Media: Ads, Marketing Earned Media: Existing user invites, recommendations KEEP GET • • • • Champion Programs Shopping Rewards Product Updates E-mails, RSS GROW • Autoorganization of accessed content • Better sourced and better priced deals • Referral Program
  • 19. Get Strategy Explained Host Website Viral Video User Education: Tutorials Invite Users Get People Talking Increase Prominence Bloggers, Recommenders, Industry moguls SEO Process, Paid Ads
  • 20. Competitive Landscape Search Engine Research/Learning Tools > $40Bn >$8bn MARCO > $5Bn Social Networking > $5Bn Customer Review Platform
  • 22. Team • Technology Arvind Seth • End Users Mariano Payano • Product Duare Perez Alonso • • • Columbia EMBA 2014, Masters and Undergrad in Computer Science A decade of professional software development (c++, JavaScript, ios/obj c) Strong interest in user experience and UI design • • • Columbia Engineering 2014 Morgan Stanley Investment Banking Analyst Global citizen, problem-solver, language fanatic • • • Columbia EMBA 2014, Oxford undergrad Swiss Re (VP) Business Manager Spanish banana mogul, ironman and teaching enthusiast
  • 23. Hypothesis Type Experiment Pass? Fail? 1. Users are willing to share browsing information provided the privacy terms are clearly defined. Product Will you allow the application to index and save your browsing information. Will you be interested in sharing any links with others explicitly I currently use bookmark tools (ex. Diigo). I share links with friends. No. I do not want any browsing history stored even if I have the ability to turn off specific sites 2. User will access Channel(Mobile) their personal library and web history on a mobile device, Do you browse extensively on a mobile device? Would you access your personal web library on a mobile device ? I browse on a mobile device especially when travelling. I also use offline readers such as instapaper. No. I only see quick links on the mobile device 3. User will search for multiple sites for information simultaneously Product When searching for information on a topic (ex. Research, news, travel) do you have multiple tabs open on the browser? Yes. I also rely on chrome (or browser) to maintain my saved tabs as I access them again No. I normally search or browser for specific sites serially 4. User will revisit sites searched some days or weeks back Product Do you ever find yourself browsing history to find information about a topic you looked at several days back? I find myself doing that frequently. I have tried bookmarking but No. I rarely ever revisit history or I start my search anew on most topics
  • 24. Hypothesis Type Experiment Pass? Fail? 1. Users read reviews on app store or well known review website GET Strategy How do you search for a new mobile app? I search by keywords but also see app store rankings, blogs and reviews. (ex. /.) No. I know the app or search by keywords 2. Users search for apps/websites on google and click on paid ads GET Strategy Do you search for software products on google? I frequently search for new software products on google and click on paid ads. I rarely click on paid ads or I use other avenues 3. User will search for chrome plugins on chrome store Channel/GET Strategy How do you hear about and download new chrome plugins I search for new extensions on chrome store I rarely use chrome store. 4. Users follow recommendations from well known reviewers, champions or friends GET Strategy Have you ever purchased an application based on recommendations from a blog, review, facebook friends or someone you follow on twitter Yes. That is the primary way to purchase apps. No.
  • 25. Wireframe Dashboard Saved Webs Links Saved Content Friends <Search Dashboard> Business Society Sports People Politics Belief Arts Technology Concepts Health Education
  • 26. Wireframe (cont.) Dashboard Saved Webs Links <Search Webs Links> Saved Content Friends

Editor's Notes

  1. Improve productivity by quick recall of recently accessed web pages, smart auto-generation of browsing history
  2. Improve productivity by quick recall of recently accessed web pages, smart auto-generation of browsing historyWeb distribution channel  flash sales
  3. Improve productivity by quick recall of recently accessed web pages, smart auto-generation of browsing historyWeb distribution channel  flash sales
  4. Improve productivity by quick recall of recently accessed web pages, smart auto-generation of browsing historyWeb distribution channel  flash sales