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How social data can help plan content marketingPANEL 1:
PANEL 2: Introducing Facebook topic data
PANEL 3: Case study: Luxury brands, retail - fashion and apparel: Louis Vuitton
PANEL 1
Adam Lewis
Head of Social and Content
Bright Blue Day
PANEL 2
Jay Krall
Director of Product
Management
DataSift
PANEL 3
Sarah Curnow
Director of Insights
Commetric
CONTENT SWEET-SPOT
• Inspire
• Help / Inform
• Entertain
BUILD AFFINITY
BUILD FOLLOWING
BUILD TRUST
=
Who is
ACTUALLY
engaging with
your content?
What is your
desired
audience
talking about?
Does video /
photo / text
work best?
Where are
your audience
hanging out?
Are there
individuals
driving the
conversation?
CREATIVE
A
We loved
this one
7
CTR 1.9%
CPC £0.25
CREATIVE
B
8
2.77%
£0.19
*Same audience
Our customers
love this more!
FACEBOOK
RELEVANCE
SCORE
- Dwell time
- Bounce rate
- Pages per session
- Volume
- CTR
- Shares
- Comments
- Conversations
- Authority
- CPC
- Relevance
- CTR
Twitter Analytics
Facebook Insights
LinkedIn Insights
Facebook
Topic Data
Audience Insight Content Types Content Topics Content Source Influencers
SOCIAL AND MOBILE DRIVE
GROWTH OF HUMAN-CREATED DATA
BIG BARRIERS TO EXTRACTING
VALUE FROM DATA
Unstructured text analysis
Beyond Big Data scale
Privacy-By-Design
SME BUSINESSES
WITH ACTIVE
FACEBOOK PAGES
50M+
Source: Facebook Q1 2016 Earnings Report (1) Facebook, Messenger, Instagram.
3M+
$5.2B Q116
AD REVENUES
GROWING 57% YoY
ACTIVE ADVERTISERSDAILY ACTIVE USERS
1.09Bn
PEOPLE SPEND
46 MINS/DAY
ON FACEBOOK
Without Facebook topic data you only get a glimpse of what is possible!
16
DATASIFT + FACEBOOK Partnership
ENGAGEMENT ACROSS FACEBOOK
FACEBOOK TOPIC DATA
Comparison of volumes of engagement relating to
an automotive brand across 7-day period.
FACEBOOK PAGES
~1,000
Posts and Engagement on
your own Facebook Pages
TOPIC DATA
~70,000
Brand-related
Posts and Engagement
across all of Facebook Content that goes viral on Facebook
about your brand.
What is driving brand recommendation,
purchase, advocacy or churn.
Topic data expands your insights.
The audience that is engaging with
your brand across Facebook.
Audience reaction to multi-channel
marketing campaigns.
WITHOUT FACEBOOK TOPIC DATA + FACEBOOK TOPIC DATA
Analysis across public social data sources
Example: Analysis of automotive brand
6x
Analysis includes Twitter, Tumblr, blogs, forums.
Self-declared demographics that other
networks don’t (and can’t) provide give
deep insights into audience opinion and
allow comparisons
Not only is the total number of
people more representative of
society, but usage is more evenly
spread across all demographic
groups.
Sharing with friends and family,
not just for self-promotion. Posts
are more authentic and insights
more representative of public
opinion.
Audiences can be defined,
understood and explored
Significant representation in all
demographic groups
Authentic representation of
audience opinion
New approach to provide privacy-first insights:
Facebook is not a public social network.
User identity is removed from posts and engagement data
processing.
Text and meta data from anonymized posts are indexed within
Facebook’s infrastructure for analysis.
Developers query data collected in real-time to perform
analysis. Data is aggregated at query time to provide aggregate
results.
Privacy controls ensure results only provided if audience size
thresholds are met.
Facebook topic data contains a sample of
Super Public posts providing:
• Easy iteration of filters
• Data/insight verification
• Discovery of new memes and relevant terms
• Create training sets for classifiers and machine
learning algorithms
Super Public posts are defined as:
1. Published by people who have a “Follow” setting
enabled in their profile
2. and Story is posted with privacy setting set as public
3. and Post is not on the timeline of another person.
40 years of BMW 3 Series. #Classic
Summary of market analyst views on LV business
STRENGTHS:
• Brand heritage
• Diversified product portfolio
• Multiple markets & geographies
WEAKNESSES:
• Weak brand recall for clothing
lines
OPPORTUNITIES:
• Growth in demand for luxury
products in BRICS / Latin America
• Appeal younger buyer profiles
THREATS:
• Counterfeit products
• Narrow core buyer profile
Manage
counterfeit
threat
Engage
younger
consumers
Build
awareness of
clothing lines
Real time analytics tracking millions of relevant conversations by thousands of
consumers
Comparatively few videos being posted
LV is a visual brand; videos are driving engagement
ENGAGING CONTENT FORMATS
(amplification rates):
Video: 286x
Link: 15x
Photo: 14x
Post: 10x
Reshare: 6x
RESHARED CONTENT FORMATS
(interaction rates):
Video: 25,400
Photo: 13,800
Post: 12,300
Links: 4,200
Reshare: 200
Established marketing
initiatives, such as the the LV
foundation which promotes art
& culture, as well as fashion
events
The LV Foundation – art, architecture, exhibitions, recitals - attracts an older demographic
Selena Gomez is trending at the moment
26 200
Unique Authors
30 100
Interactions
28%
72%
Product mindshare is still dominated by accessories
Potential risk with use of fur and mentions of PETA (People for the Ethical Treatment of Animals)
League of Fakes – LV is second, a persistent risk
League of
Fakes
No of
interactions
Brand buzz
ranking
Brand 1 44 300 1
Louis Vuitton 13 000 4
Brand 3 2 000 4
Brand 4 10 900 5
Brand 5 2 200 11
Louisvuitton.com
INITIATION
Backstage and secret insights from the
luxury world
• nowfashion.com: female, 18-24,
25-34
• instyle.com: female, 25-34
INSPIRATION
Atmosphere and creative ideas for
oneself
• elleuk.com: female, 18-24
• mtv.com: female, 18-24
• outside.com: male, 35-44
IMITATION
Product/brand recommendations to
construct identities
• michelleromo.com: female, 18-24
• hypebeast.com: male, 18-24
INFORMATION
Gain knowledge about the luxury world
• businessoffashion.com: 35-44
• dazeddigital.com: 25-34
LV has had success
at attracting
younger consumers,
while retaining its
core, older buyers
Watches and Bags
dominate the
conversation. Any
strategies to
promote Clothing
should consider this.
Video is the most
engaging media type;
opportunity to be
used for promoting
clothing and
educating customers
to fight
counterfeiting.
News & Gossip sites
are key conversation
drivers.
How do we replicate
and build upon their
content?
Fashion bloggers
are under utilized.
The impact of
Selena Gomez
clearly shows the
power of young
influencers.
Adam Lewis
@adamlewis10
adam.lewis@brightblueday.com
Jay Krall
@jaykrall
jay.krall@datasift.com
Sarah Curnow
@commetric
sarah.curnow@commetric.com
How to use social data for better content marketing

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How to use social data for better content marketing

  • 1.
  • 2. How social data can help plan content marketingPANEL 1: PANEL 2: Introducing Facebook topic data PANEL 3: Case study: Luxury brands, retail - fashion and apparel: Louis Vuitton
  • 3. PANEL 1 Adam Lewis Head of Social and Content Bright Blue Day PANEL 2 Jay Krall Director of Product Management DataSift PANEL 3 Sarah Curnow Director of Insights Commetric
  • 4.
  • 5.
  • 6. CONTENT SWEET-SPOT • Inspire • Help / Inform • Entertain BUILD AFFINITY BUILD FOLLOWING BUILD TRUST =
  • 7. Who is ACTUALLY engaging with your content? What is your desired audience talking about? Does video / photo / text work best? Where are your audience hanging out? Are there individuals driving the conversation?
  • 8. CREATIVE A We loved this one 7 CTR 1.9% CPC £0.25 CREATIVE B 8 2.77% £0.19 *Same audience Our customers love this more! FACEBOOK RELEVANCE SCORE
  • 9. - Dwell time - Bounce rate - Pages per session - Volume - CTR - Shares - Comments - Conversations - Authority - CPC - Relevance - CTR
  • 10. Twitter Analytics Facebook Insights LinkedIn Insights Facebook Topic Data Audience Insight Content Types Content Topics Content Source Influencers
  • 11.
  • 12. SOCIAL AND MOBILE DRIVE GROWTH OF HUMAN-CREATED DATA BIG BARRIERS TO EXTRACTING VALUE FROM DATA Unstructured text analysis Beyond Big Data scale Privacy-By-Design
  • 13.
  • 14. SME BUSINESSES WITH ACTIVE FACEBOOK PAGES 50M+ Source: Facebook Q1 2016 Earnings Report (1) Facebook, Messenger, Instagram. 3M+ $5.2B Q116 AD REVENUES GROWING 57% YoY ACTIVE ADVERTISERSDAILY ACTIVE USERS 1.09Bn PEOPLE SPEND 46 MINS/DAY ON FACEBOOK
  • 15. Without Facebook topic data you only get a glimpse of what is possible!
  • 16. 16 DATASIFT + FACEBOOK Partnership ENGAGEMENT ACROSS FACEBOOK FACEBOOK TOPIC DATA
  • 17. Comparison of volumes of engagement relating to an automotive brand across 7-day period. FACEBOOK PAGES ~1,000 Posts and Engagement on your own Facebook Pages TOPIC DATA ~70,000 Brand-related Posts and Engagement across all of Facebook Content that goes viral on Facebook about your brand. What is driving brand recommendation, purchase, advocacy or churn. Topic data expands your insights. The audience that is engaging with your brand across Facebook. Audience reaction to multi-channel marketing campaigns.
  • 18. WITHOUT FACEBOOK TOPIC DATA + FACEBOOK TOPIC DATA Analysis across public social data sources Example: Analysis of automotive brand 6x Analysis includes Twitter, Tumblr, blogs, forums.
  • 19. Self-declared demographics that other networks don’t (and can’t) provide give deep insights into audience opinion and allow comparisons Not only is the total number of people more representative of society, but usage is more evenly spread across all demographic groups. Sharing with friends and family, not just for self-promotion. Posts are more authentic and insights more representative of public opinion. Audiences can be defined, understood and explored Significant representation in all demographic groups Authentic representation of audience opinion
  • 20.
  • 21. New approach to provide privacy-first insights: Facebook is not a public social network. User identity is removed from posts and engagement data processing. Text and meta data from anonymized posts are indexed within Facebook’s infrastructure for analysis. Developers query data collected in real-time to perform analysis. Data is aggregated at query time to provide aggregate results. Privacy controls ensure results only provided if audience size thresholds are met.
  • 22. Facebook topic data contains a sample of Super Public posts providing: • Easy iteration of filters • Data/insight verification • Discovery of new memes and relevant terms • Create training sets for classifiers and machine learning algorithms Super Public posts are defined as: 1. Published by people who have a “Follow” setting enabled in their profile 2. and Story is posted with privacy setting set as public 3. and Post is not on the timeline of another person. 40 years of BMW 3 Series. #Classic
  • 23.
  • 24. Summary of market analyst views on LV business STRENGTHS: • Brand heritage • Diversified product portfolio • Multiple markets & geographies WEAKNESSES: • Weak brand recall for clothing lines OPPORTUNITIES: • Growth in demand for luxury products in BRICS / Latin America • Appeal younger buyer profiles THREATS: • Counterfeit products • Narrow core buyer profile
  • 26. Real time analytics tracking millions of relevant conversations by thousands of consumers
  • 27. Comparatively few videos being posted
  • 28. LV is a visual brand; videos are driving engagement ENGAGING CONTENT FORMATS (amplification rates): Video: 286x Link: 15x Photo: 14x Post: 10x Reshare: 6x RESHARED CONTENT FORMATS (interaction rates): Video: 25,400 Photo: 13,800 Post: 12,300 Links: 4,200 Reshare: 200
  • 29. Established marketing initiatives, such as the the LV foundation which promotes art & culture, as well as fashion events
  • 30. The LV Foundation – art, architecture, exhibitions, recitals - attracts an older demographic
  • 31. Selena Gomez is trending at the moment 26 200 Unique Authors 30 100 Interactions 28% 72%
  • 32. Product mindshare is still dominated by accessories
  • 33. Potential risk with use of fur and mentions of PETA (People for the Ethical Treatment of Animals)
  • 34. League of Fakes – LV is second, a persistent risk League of Fakes No of interactions Brand buzz ranking Brand 1 44 300 1 Louis Vuitton 13 000 4 Brand 3 2 000 4 Brand 4 10 900 5 Brand 5 2 200 11
  • 36. INITIATION Backstage and secret insights from the luxury world • nowfashion.com: female, 18-24, 25-34 • instyle.com: female, 25-34 INSPIRATION Atmosphere and creative ideas for oneself • elleuk.com: female, 18-24 • mtv.com: female, 18-24 • outside.com: male, 35-44 IMITATION Product/brand recommendations to construct identities • michelleromo.com: female, 18-24 • hypebeast.com: male, 18-24 INFORMATION Gain knowledge about the luxury world • businessoffashion.com: 35-44 • dazeddigital.com: 25-34
  • 37. LV has had success at attracting younger consumers, while retaining its core, older buyers Watches and Bags dominate the conversation. Any strategies to promote Clothing should consider this. Video is the most engaging media type; opportunity to be used for promoting clothing and educating customers to fight counterfeiting. News & Gossip sites are key conversation drivers. How do we replicate and build upon their content? Fashion bloggers are under utilized. The impact of Selena Gomez clearly shows the power of young influencers.