A presentation by Anthony Fradet, COO of Linkfluence UK, at Insight Show 2017.
The presentation entails:
- Looking beyond social influence as a numbers game, and focusing on a holistic and dynamic approach placing context at its core
- Exploring three case studies combining social media research methodologies and technology that derived rich, actionable insights
- How network ecosystem analysis predicted the EU referendum result
- How audience mapping helped Danone understand cities
- How highly contextualised influence analysis informed Expedia’s Influencer Strategy
"Social influence analysis: a new insight territory"
1. SOCIAL INFLUENCE ANALYSIS:
A NEW INSIGHT TERRITORY
Anthony Fradet - Linkfluence
UK Chief Operating Officer
@anthonyfradet
Luis Fernandes - Expedia
EMEA Research and Consumer
Insights Director
6. Social data: qualitative data on a quantitative scale
Vast collection
of individual opinions
Identification of major trends
and weak signal
Wide possibilities
from social KPI measurement
to in-depth content analysis
7. Social data: in vivo (vs in vitro)
Untamed, spontaneous material
Opinions expressed reach
an audience, triggering tangible
influence mechanisms
No interrogation bias
32. 2 objectives
Identify the key communities of interest
structuring the social landscape in 4 major cities
Recommend smart actions to engage
these communities in a meaningful way
33. How to capture the social conversation
happening in a city and put it into context?
34. Can we trust individuals to tell the truth
about what they are influential on?
35. Good proportion of what I post
Good proportion of what I post
Almost never post
Post rarely
Interest is not influence
36. To make sense of audiences,
content analysis at scale is necessary
39. Key outcomes for Danone
Sharp understanding of cultural background
Identification of relevant content area
Food for innovation in brand initiative
40. 03
EXPEDIA - DIGITAL FOOTPRINT
HOW HIGHLY CONTEXTUALISED INFLUENCE
ANALYSIS INFORMED EXPEDIA’S
INFLUENCER STRATEGY
Luis Fernandes - Expedia
EMEA Research and Consumer
Insights Director
44. How to achieve this?
Increase brand presence throughout
the decision making process prior to booking
Identify the right influencers
for the right mode at the right time
45. How is the travel ecosystem structured
in different markets?
46. The UK Travel Ecosystem
Colours refer to
communities
Nodes are websites
Links are hypertext
links between two
websites
(inbound/outbound)
Node size indicates
of the level of
influence of a
website
48. Travel Online Ecosystem UK vs Germany
Travel News
1%
Sports
2%
Family
4%
Innovation & Tech
4%
Business & Finance
5%
Food & Drinks
10%
Lifestyle
11%
Travel
12%
Beauty & Fashion
15%
Online Media
22%
Travel
31%
Online Media
15%
Lifestyle 9%
Food & Drinks
7%
Family
5%
Beauty & Fashion
4%
Business & Finance
4%
Culture &
Entertainment 3%
49. Travel Online Ecosystem UK vs Germany
Travel News
1%
Sports
2%
Family
4%
Innovation & Tech
4%
Business & Finance
5%
Food & Drinks
10%
Lifestyle
11%
Travel
12%
Beauty & Fashion
15%
Online Media
22%
Travel
31%
Online Media
15%
Lifestyle 9%
Food & Drinks
7%
Family
5%
Beauty & Fashion
4%
Business & Finance
4%
Culture &
Entertainment 3%
50. Travel Online Ecosystem UK vs Germany
Travel News
1%
Sports
2%
Family
4%
Innovation & Tech
4%
Business & Finance
5%
Food & Drinks
10%
Lifestyle
11%
Travel
12%
Beauty & Fashion
15%
Online Media
22%
Travel
31%
Online Media
15%
Lifestyle 9%
Food & Drinks
7%
Family
5%
Beauty & Fashion
4%
Business & Finance
4%
Culture &
Entertainment 3%
51. How to integrate context into affluence
and make it operational?
52. Contextualised influencer identification
Social audience
Monthly visits and
views
Potential
for working
with
brands
Relevance for
Expedia
Influence
score*
*Influence score: Score (from 0 to 100) based on the inbound links received by the websites within the ecosystem.
Blogs with a
high influence
score*
Sites with
strong social
following
Identification of
matching
Expedia Travel
Mode
53. Travel modes
in the UK travel ecosystem
• TRAVEL MODE A, B & D are the three main travel
modes in the Travel Ecosystem, with 83% of the
top influencers within the UK Travel ecosystem.
• These three travel modes provided most traffic.
Travel mode B gathers the stronger follower base,
with an average 880k followers.
• The most influential opinion leaders:
AVERAGE MONTHLY VISITS AVERAGE SOCIAL FOLLOWERS
TRAVEL MODE A 368K 197K
TRAVEL MODE B 35,5k 880K
TRAVEL MODE C 71,4k 84,9K
TRAVEL MODE D 103K 295K
TRAVEL MODE E 13,8K 18,1K
TRAVEL MODE F 95,3K 46,2K
Key influencers
Cumulated
social audience
Dominant Travel
Mode
25.5m à TRAVEL MODE A
4.2m à TRAVEL MODE B
1.8m à TRAVEL MODE C
1.5m à TRAVEL MODE B
1.4m à TRAVEL MODE D
31%
26%
26%
10%
10%
7%
Share of influencers
by travel mode
54. Travel mode C
What kind of content do they produce?
• Visual posts, documenting breaks that are largely relaxation,
culture or luxury focused (e.g. warm destinations, spa days,
boutique hotels)
Place of travel within their life
Travels to relax mentally and physically
Booking Behaviour
• Destination is less important than an ideal resort. Likely to book all
inclusive packages, sometimes offline
• Want hassle-free booking
Other interests
Food | Fashion | Style | Weekend breaks |
Health
103k MONTHLY SITE VISITS ON AVERAGE
295k SOCIAL FOLLOWERS PER INFLUENCER (AGGREGATED AVERAGE)
55. Outcome for Expedia:
Involvement in contextual conversations
- Opportunities to develop more relevant content for specific
context or simply to share it in the right place…
- Key influencers to work with beyond number of followers