product strategy: example...
TRANSCRIPT
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Maximizing Growth. Transforming Organizations. Unlocking Digital.
Product Strategy:
Example Deliverable
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Agenda
Product overview
Revenue model
Product case studies
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ProductX vanity metrics
1 E-Statement penetration rates for individual clients from XXX data
2 Source: XXX XXX XXX Forecast: 2013-2018, InfXXXends, 2014
WE ARE APPROACHING XXX REGISTERED USERS IN THE COMMUNITY
XXXK
Fans on Facebook
XXK XXK XM
Users in Community
Fans on Instagram Twitter Followers
XX
Countries Represented
XM
Photos Posted To Date
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Sections 2 gets more engagement than others but only XX% visit more than once per month
JUST XX% OF USERS VISIT PRODUCTX MORE THAN ONCE A MONTH
User Engagement by section (% of total)
45% 50% 55% 60% 65% 70% 75% 80% 85%
45% 40% 35% 35% 30% 25% 25% 20% 15%
10%10%
10%
Section 8
0%
Section 1
5%
Section 3Section 2 Section 9
0%
Section 4
5%
Section 6Section 5
0%
Section 7
5%
Site Section
4
User type Z User type Y User type X
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Section X gets more engagement than others but only 45% visit more than once per month
USER ENGAGEMENT BY SEGMENT (% OF TOTAL)1
28
60
15
2757
13
SessionsUsers
User type X User type Z User type Y
Note: Engagement numbers adjusted to sum to 100% across categories
Sources: (1) xxxxxxx xxxxx xxxxxx
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Very few site visitors register and those that do register rarely return
Monthly unique visitors to Product X site (Ks) Total registered members (Ks)
1(10%)
9(90%)
Active Members Non-Registered Visitors
5(5%)
95(95%)
Active Members Inactive Members
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Across key engagement metrics, performance has flatlined or fallen
Source: Data provided by XXX Data Analytics Team
Monthly average uploads (Ks) Monthly average favorites (Ks)
Monthly average ratings (Ks) Monthly average daily dozen votes (Ks)
2017
72
+X%+X%
60 65
2013
56 60
2015 20162014
65 60
20172013
7080
60
2014 20162015
+X%+X%
2013
5060
2015
65
2014
49
70
2016
+X%+X%
2017
+X%
2017
-X%
4540
2014
35
20162015
40
2013
45
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ProductX has active users around the world
AVERAGE MONTHLY UPLOADS (KS) BY REGION (% OF TOTAL)
Source: Data provided by XXX Data Analytics Team
Notes: (A) Other Includes Africa, Australia, oceania, south America, Antarctica, countries with coding errors, and not specified.
87
20 (23%)
15 (20%)
2013
26 (34%) 26 (30%)
20 (23%)
15 (20%)
20 (25%)
20 (25%)
20 (25%)
20 (25%)
24 (24%)
30 (30%)
30 (25%)99
2015
30 (25%)
120
80
30 (25%)
2016
23 (23%)
22 (22%)
2017
76
2014
20 (26%) 21 (24%)
30 (25%)
North AmericaAsia Europe OtherA
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Nearly XX% of active monthly users are ages XX or older
ACTIVE MONTHLY MEMBERS (KS) BY AGE (% OF TOTAL)
2017
3 (10%)
31
8 (27%)
15 (43%)13 (43%)
2 (6%)
2 (7%)
11 (37%) 12 (39%)
4 (11%)
10 (29%)
2016
30
35
4 (11%)
3 (10%)
3 (11%)
8 (30%)
4 (15%)
10 (37%)
27
5 (17%)
3 (10%)
2 (7%)
9 (30%)
5 (16%)
2013
9 (29%)
2 (6%)
2014
30
2015
4 (13%)
2 (7%)
Under 1860+ 40 to 59 18 to 2930 to 39
Source: Data provided by Data Analytics Team
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Agenda
Product overview
Revenue model
Product case studies
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Three revenue models were developed for ProductX
Model Version Overview
Take no substantial actions to change the Your Shot
product or expand its monetization strategies; continue
similar to current trendsNo Change
Model B
Model C
Invest in improving the BBBB BBBB BBBBB; implement
both BBB BBB BBBB BBBBB BBBB to ensure that the
product tracks with competition
Invest in improving CCCC CCCC CCCC product and
community; develop a set of CCCC CCCCCC CCC
including CCC, CCC and CCC beginning in 2018, and CCC
and CCC beginning in 2020; this model does not include
XXX growth
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Model revenue drivers
Model Version Driver 1
No Change
Model B
Model C
Driver 2 Driver 3 Driver 4 Driver 5
Shrinks 5% per year
from ~500K in 2017
to 387K in 2022
Grows at a ~5%
CAGR from ~500K
in 2017 to 643K in
2022
Doubles from ~500K
in 2017 to 1M in 2022
Ad revenue per user
remains constant at
$1.35
Ad revenue per user
declines 1% per year
from $1.35 in 2017 to
$1.28 in 2022
Ad revenue per user
grows 3% per year
from $1.35 in 2017 to
$1.57 in 2022
Remains constant at
$250K per year
Revenue per
campaign declines 1%
per year from $50K in
2017 to $48K in 2022;
number of campaigns
grows from 5 to 10
Revenue per
campaign grows 5%
per year from $50K in
2017 to $64K in 2022;
number of campaigns
grows from 5 to 12
Not implemented
Begins in mid-2018
with a 1.25% user
conversion rate into
the paid option at $96
per year
Not implemented
Not implemented
Begins in 2018 with
0.1 photo prints per
user at $15 and 0.1
non-photo prints per
user at $25; grows 1%
per year
Begins in 2018 with
0.1 photo prints per
user at $15 and 0.1
non-photo prints per
user at $25; grows 5%
per year
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Revenue model: No change
DIGITAL REVENUES ($MS)
Source: Digital financial model, XXX financial analysis
Notes: (A) 2017 digital advertising revenue projected based on 2016 financials from Eileen Maroney: Assigned 25% of gallery ad revenue due to sharing with ng.com, 100% of your
shot display ad revenue, and all of photo contest display ads. Excluded photo contest entry fees due to potential double reporting with content verticals. sponsored content
revenue was projected at $250k in 2017 based on 2016 numbers from sales team.
$0.8$0.9
$0.8$0.8
$0.9
2017a 2021
-XX%
20222018 20202019
$0.9
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Revenue model: Model B
DIGITAL REVENUES ($MS)
Source: Digital financial model, XXX financial analysis
$0.2 $0.3$0.5
$0.8
$0.6
$0.6$0.7
$0.8
$0.9
$0.6
$0.6
$0.6
$0.6
$0.7
$0.3$0.2$0.2$0.2
20192018
$0.1$0.1
$1.0
$1.4
2020
$1.8
2017a
$1.6
$2.7
$2.1
2021 2022
+XX%
Driver 1 Driver 3 Driver 4Driver 2
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Model C
DIGITAL REVENUES ($MS)
$0.2 $0.4$0.6
$1.0
$0.7
$0.7$0.8
$1.0
$1.1
$0.7
$0.7
$0.7
$0.7
$0.8
$0.0$0.4
$0.2$0.2$0.2
$2.2
$0.0
2018
$1.7
$0.1$0.1
2019
$1.9
2017a
$1.2
2021
$3.2
+XX%
2022
$2.5
$0.0 $0.0
2020
$0.0
Driver 5Driver 4Driver 3Driver 1 Driver 2
15
Source: Digital financial model, XXX financial analysis
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Agenda
Product overview
Revenue model
Product case studies
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Product case study 1: email newsletters
Product Overview Email Newsletter Overview Key facts
Insights to Consider
• Newsletters contain articles, videos, and photos
sent to users’ email via a newsletter (all link out
to longer pieces or vides on the NYT website)
• Product includes 54+ free individual email
newsletter options for subscription; options vary
in arrival frequency1
• Key topics include: New Email Newsletters;
News, Politics, and Opinions; Business & Tech;
Lifestyle; Special Offers; Dealbook etc.
• Users can preview sample before subscribing
• Product intended to provide personalized,
succinct content overviews that can Segway into
richer, deeper content pieces (written and video)
on the main site
• Weekly newsletters averaged a 50% gross open
rate in 2015; newer niche newsletters topped a
70% gross open rate (38.5% was the industry
average in 2015)2
• Newsletters sometimes include ads, though often
for products / services related to the content
• Arrival tempo varies: Daily, As Needed,
Monday-Friday, Weekends, Weekly, Biweekly,
and Monthly
• Subscription free and can include multiple
options
• 12-person newsletter team as of 20152
• Email subject-lines are 30 characters or less to
drive engagement on mobile3; usually include the
name of the top article in the newsletter
• Newsletters are often sent at a specific time of
day (i.e., Today’s Headlines Asian Morning is
sent when it’s morning in Asia not New York)
• Newsletters include an email address for readers
to respond with feedback
• Users get welcome email to register with NYT
to personalize emails during sign-up
• Newsletters designed to prevent inbox clutter: ““Inbox clutter is something we’re sensitive to,” said Nicole Breskin, a digital product director at the Times.
“Because it’s so saturated, it’s important we produce something of value.”4 Efforts include combining multiple newsletters into one email if they will arrive on the
same day, keeping subject lines brief, and allowing for personalization of email notifications on mobile if users register their subscription
• Stories chosen do not mimic the homepage: “These are not news summaries. We’re conscious of short paragraphs and sentences, of what’s pleasant to read on
a phone screen,” said Clifford Levy, a Times assistant masthead editor5. Newsletters include a plethora of photos and only brief descriptions of articles.
• NYT has emphasized “radical flexibility” in testing formats and content: “We see newsletters as a very cool data testing ground for new products, ideas, and
experiments with tone and voice,” said Nicole Breskin, product director in 20156. Newsletters vary in design, length, and opening letter inclusion based on
readership, time of day and theme. Likewise, “most (newsletters) start out on a weekly basis to prevent … turning off readers before a list gains momentum”.
• Newsletter subscribers frequently become NYT subscribers: “Times users are twice as likely to become paid subscribers if they signed up for a newsletter
first.”6 This probably reflects the fact that someone reading more than 10 articles a month needs a paid subscription.
• NYT uses social media to promote newsletters: NYT uses Facebook and Twitter to gauge interest in new newsletters and to promote current ones6
Sources: (1) New York Times Newsletters (2) Digiday, August 2015, “New York Times Gets Seventy Percent Open Rate” (3) Contently, September 2015, “How the New York Times
Gets 70% Email Open Rates” (4) Digiday, August 2015, “New York Times Gets Seventy Percent Open Rate” (5) Nieman Lab, February 2016, “The New York Times Has a
New Email Newsletter Aimed At College Students” (6) Digiday, August 2015, “New York Times Gets Seventy Percent Open Rate”17
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Product case study 1
Sources: (1) NYT, June 2014, “For Email Newsletters, A Death Greatly Exaggerated” (2) Photos from January 6, 2017 Science Times newsletter (3) January 24, 2017 Science Times
newsletter (4) NYT email newsletters
INSIGHT: NEWSLETTERS DESIGNED TO PREVENT INBOX CLUTTER
The brief subject line of the Science Times email
was “Gene-Modified Ants Shed Light on How
Societies are Organized, which was the featured
article of that newsletter
When the Book Review Newsletter and Science
Times Newsletter appeared on the same day at the
same time in an email inbox, the two newsletter
were joined together into one email thread.
As said by David Carr, a writer for the NYT, “At a time when lots of news and information is whizzing by online, email newsletters
…help us figure out what’s worth paying attention to.”1 With this focus in mind, NYT newsletters have 20-30 featured articles in one
email and brief subject lines (30 characters or less) that feature the main article of the newsletter. They also append newsletters to one
another when two or more are sent at the same time to one subscriber.
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Product case study 1
Sources: (1) Nieman Lab, February 2016, “The New York Times Has a New Email Newsletter Aimed at College Students” (2) Photos from January 24, 2017 Science Times newsletter (3)
NYT email newsletters
INSIGHT: STORIES CHOSEN DO NOT MIMIC THE HOMEPAGE
Each article gets a few brief words about its topic,
which readers can click on to go to the article on
the NYT if they want to read more.
In the Science Newsletter, articles refer to all the
science articles in the NYT currently, not just ones
on the homepage
Stories in each newsletter are organized according to theme, not what is popular or prominent on the homepage. Likewise, articles are
frequently just given a brief sentence or two for introduction – “If you want more information, you click on the links”, particularly in
newsletters like the Morning Briefings.1
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Product case study 1
Sources: (1) NYT email newsletters (2) Photos from January 27, 2017 Book Review newsletter (3) February 1, 2017 Sciences Times newsletter
INSIGHT: NYT HAS EMPHASIZED ‘RADICAL FLEXIBILITY’ IN TESTING FORMATS AND CONTENT
“Sciences Times” newsletter: begins with a large
photo from an article, then short descriptions of
articles following“What We Are Reading” newsletter: begins with a
lengthy letter directly to the reader
In trying to avoid the “one size fits all” model, newsletters vary within and between each other: starting the newsletter with a letter vs.
a photo, quantity of articles, tone, time of day sent, etc. This “radical flexibility” allows the newsletter team gauge what works with
different audiences
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Product case study 1
Sources: (1) Digiday, August 2015, “New York Times Gets Seventy Percent Open Rate” (2) Photos from Pinterest, “What Are We Reading” (3) NYT email newsletter
INSIGHT: NYT USES SOCIAL MEDIA TO PROMOTE NEWSLETTERS
Videos on the NYT YouTube, such
as this one about Fukushima, suggest
a newsletter to follow.
“What We’re Reading” is a page on
the NY Times Pinterest, as well as
one of their newsletters
The NYT uses social media (such as Pinterest) to promote newsletters (such as What We’re Reading) and to gauge interest in potential
new newsletters. “. In the case of the Kristof letter, it got 50,000 signups after promoting it on social media and on site for six
months.”1
“The African-American Experience” on
the NYT Pinterest references articles in
the Race/ Related newsletter
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Product case study 1
Sources: New York Times Newsletters
THE NEWSLETTERS
New, politics and opinions Lifestyle New email newsletters
• Briefing: Europe Edition
• Morning Briefing: Asia and Australia Edition
• The Edit
• Nicholas Kristof
• Evening Briefing
• Morning Briefing: Americas
• What We’re Reading
• The Upshot
• Today’s Headlines
• Breaking New Alerts
• New York Today
• First Draft
• Opinion Today
• Today’s Headlines European Morning
• Today’s Headlines Asian Morning
• Booming
• @Times
• Running
• Science Times
• The New York Times Magazine
• NYT Living
• T Magazine
• Real Estate
• Cooking
• Book Review
• Big City Book Club
• Movie Updates
• Theater Update
• Travel Dispatch
• Times Video
• Wheels
• Well
• The Learning Network
• Well Family
• Sports
• The Interpreter
• Canada Today
• California Today
• Louder
• Op-Docs
• Watching
• Race/ Related
Business and tech
• Dealbook
• Bits
• Your Money
• Personal Tech
• Entrepreneurship
Special offers
• Sophisticated Shopper
• Great Getaways
• Travel Deals
• TicketWatch
• The New York Times Store
• Times Journeys
• Updates and
Special Offers
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Product case study 2: Website
Product Overview Product overview3 Key facts
Insights to Consider
• ESPN’s main website, www.espn.com
• Central online hub for sports news, scores,
leagues, merchandise, and tickets from ESPN
• Homepage: Acts as a one-stop destination for
sports, teams, Fantasy, news, scores, and other
websites
• Personalization: Users can log-in and
personalize which teams/ sports are emphasized
on the homepage
• “Now Feed”: live Twitter-like feed of short-
form content on the side of the homepage
• League homepages: every major league (NFL,
NCAA) and most major sports (Baseball,
Basketball, Hockey) link from the main
homepage to their own homepage
• Offshoots: WatchESPN, ESPN Radio, and
Fantasy
• Ranking: #1 sports news website, #29 website
in the US, and #99 website worldwide based on
traffic4
• Engagement: 366M visits in Jan 2017, 10:52
average duration and avg 4 pages per visit4
• Traffic sources: 44% direct, 22% referrals, 17%
search, 10% social media, 6% email, <1% ads4
• Top referring sites: cnn.com, espn.go.com,
bleacherreport.com, amazon.com4
• Social media traffic: 42% FB, 21% Reddit4
• ESPN did a massive web overhaul in 2015 focused on mobile, personalization, fresh content and user journeys: The company did a full site revamp focused
on mobile (“Internally we think that browsing on your phone is the most beautiful, clean experience”), personalization (“I’m a Duke fan …. It’s a pretty profound
statement that Duke football sites on top of ESPN.com”), fresh content (Top Headlines constantly refreshing) and user journeys (“Each article bleeds into the next
one. If you’re in a clubhouse for the Cavaliers, the next one will come into a Cavaliers article too”)5
• Personalization playing an increasingly critical role: Recommended teams and leagues reflect a user’s location (without log-in); users can log-in and pick sports
and teams to emphasize on the homepage feed; preferences affect scoreboard, news and recommended videos
• Focus on making the website a stand-alone “destination”: “We are a destination network. People tune in to ESPN without even knowing what’s on,” notes
ESPN President John Skipper6; the website has been designed to serve users who want to browse the world of sports with no particular goal
• ESPN tailors content and tone to platform and audience: “Rather than force a unified ESPN style onto every social-media platform, the team takes care to learn
the local language of every territory of the Internet-experimenting with live feeds on its homepage, studying which stories fly furthest on Facebook, and practicing the
goofball patois of Snapchat”6. Different platforms vary in content length, format (e.g. ,photo, video, article), and frequency of new content
Sources: (1) ESPN Media Zone, “ESPN, Inc. Fact Sheet”(2) Fast Company, March 2015, “ESPN Just Redesigned Its Site For The First Time Since 2009—Here Are 4 Takeaways” (3)
www.espn.com (4) Similar Web, February 2017, “ESPN.com Analytics” (5) Fast Company, March 2015, “ESPN Just Redesigned Its Site For The First Time Since 2009—Here
Are 4 Takeaways” (6) The Atlantic, July 2015, “ESPN’s Plan to Dominate the Post-TV World”
Timeline
• 1995: ESPN launched www.espn.com1
• 2015: ESPN redesigned www.espn.com to
include team/sport personalization, mobile
compatibility, white space, live-stream updating,
and “infinite scrolling”2
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Product case study 2
Sources: (1) The Atlantic, July 2015, “ESPN’s Plan to Dominate the Post-TV World” (2) Similar Web, February 2017, “www.espn.com Analytics” (3) ESPN.com (4) Photos from
espn.com pages (4) ESPN mobile application, February 2017
INSIGHT: ESPN DID A MASSIVE WEB OVERHAUL IN 2015 FOCUSED ON MOBILE, PERSONALIZATION,
FRESH CONTENT AND USER JOURNEYS
Articles and videos lead into directly related content:
“Each article bleeds into the next one. If you’re in a
clubhouse for the Cavaliers, the next one will come
into a Cavaliers article too”
Old site incorporated many
similar elements but in a
way better suited to a
generic, desktop experience
Site as a “mobile first” feel
with one article, large text
and use of icons as links to
other parts of the site
The site varies significantly for
logged-in users based on
preferences: scores, news
items, articles highlighted, etc.
Scores, news and videos
refresh constantly (e.g.,
scores update without
refreshing the page)
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Product case study 2
Sources: Photo from espn.com
INSIGHT: PERSONALIZATION PLAYING AN INCREASINGLY CRITICAL ROLE
Easy to select favorite teams
to get more content on
those choices
Large and visible log-in
button
Sign-up button given
prominent with both
placement and color choice
(blue on white background)
Any user can select any
league or event they prefer
to see scores for that choice
(without logging in)
Users can login and decide which sports and teams are emphasized on their homepage feed (with suggestions based on geolocation).
Accessing ESPN.com from Los Angeles brings suggestions of adding the Lakers, Dodgers, and Angels as a favorite automatically on
the homepage while someone in Dallas will see content related to UT and the Dallas Cowboys.
Top headlines will vary
based on location (e.g.,
Dallas headline for
someone in Texas per
below)
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Product case study 2
Sources: (1) The Atlantic, July 2015, “ESPN’s Plan to Dominate the Post-TV World” (2) Similar Web, February 2017, “www.espn.com Analytics” (3) The Atlantic, July 2015, “ESPN’s
Plan to Dominate the Post-TV World” (4) Photos from espn.com (5) Photos from Similar Web, February 2017 (6) “www.espn.com Analytics”
INSIGHT: FOCUS ON MAKING THE WEBSITE A STAND-ALONE ‘DESTINATION’
Direct traffic accounts for
almost 50% of all traffic with
Referrals (22%) and Search
(17%) together accounting for
80%+ of the traffic
In 2013, ESPN President Skipper said, “We’re not looking for niche audiences… Instead, ESPN sought to maximize the odds that
whenever an American guy tuned into its flagship channel, he would see either a major sport, or coverage of a major story line on one of
ESPN’s rapidly multiplying talk shows”1 The website supports this with live scoreboards, the Now feed on the homepage, major sports
on the homepage (with niche sports accessible in dropdown menus), and strong keyword visits (“espn nba”, “espn nfl”)2
“We are a destination network. People tune in to ESPN without even knowing what’s on” according to ESPN President John Skipper3
Top keywords #4 and #5
(“espn nba” and “espn nfl”)
suggest ESPN has succeeded
in becoming a destination
site in the minds of its
potential audience
To p E S P N s e a r c h k e y w o r d s 2 :
1 ESPN
2 WATCHESPN
3 WATCH ESPN
4 ESPN NBA
5 ESPN NFL
6% Social
10%
Search17%
Referrals
22%
Direct 45%
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