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Dr. Yan Qu ShareThis, Inc

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Page 1: Return on A Share

Dr. Yan QuShareThis, Inc

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With the growth of the social web, we turn more often to friends and strangers for recommendations on where to go, what to eat, and what to buy.

SHARING IS THE CONNECTIVE THREAD OF THE SOCIAL WEB

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120 SOCIAL CHANNELS

95% OF ONLINE AUDIENCE

ShareThis Sharing Solutions

ShareThis is the largest sharing platform reaching 211 million people over 120 social channels on 2.8 MM sites. That’s 95% of the web!

2.8MM PUBLISHERS

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YOUR AD

AUDIENCE IDENTIFICATION DELIVERY

HOW SHARETHIS WORKS

4

Jessica reads an article about budget bedroom

ideas & decides to share it to her Facebook page using the ShareThis

widget!

This is Jessica! She’s busy chatting and

browsing the web…

ShareThis observes the share and can then target

Jessica and her friends with advertising messages

tailored to their interests

All social actions are then cataloged and segmented to build out custom audience profiles based on social sharing behaviors.

YOUR AD

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Sharing widgets across 120+ social channels

Widget Stats

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THE

IMPACT OF SHARINGIS WELL-DOCUMENTED

73% of survey respondents process information more deeply, thoroughly, and thoughtfully when they share it.

70% of people trust consumer reviews they found online.

38% During a four-week test, Starbucks’ Facebook fans and “friends of fans” were 38% more likely to make a purchase.

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BUT HOW DOES IT ALL TRANSLATE TO

MONETARY IMPACT?

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SHARETHIS COMMISSIONED THE FIRST STUDY OF ITS KIND TO MEASURE THE IMPACT OF SHARING ON THE PURCHASE PROCESS

PURCHASEINTENT

RECOM--MENDATION

PRICE

BRAND

PREMIUM

GENERIC

LUXURY

ECONOMY

TYPE

SOURCE

STRENGTH

FamilyFriendAcquaintanceStrangerProfessional

ExcellentGoodModerateBad

In-personSocial NetworkTrade Publication

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LIKERT SURVEY METHOD DO NOT CAPTURE THE TRADEOFF IN REAL PURCHASE SITUATIONS

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CONJOINT METHODOLOGY USES STATISTICAL MODELING TO DETERMINE THE RELATIVE IMPORTANCE OF VARIOUS FACTORS AFFECTING THE CONSUMER PURCHASE DECISION

http://sibmbaw11.blogspot.com/

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BRAND

PRICE

TYPE

STRENGTH

SOURCE

REC

OM

MEN

DA

TIO

N

WHICH OF THE FOLLOWING TWO PRODUCTS ARE YOU MORE LIKELY TO PURCHASE?

CONJOINT METHODOLOGY USES STATISTICAL MODELING TO DETERMINE THE RELATIVE IMPORTANCE OF VARIOUS FACTORS AFFECTING THE CONSUMER PURCHASE DECISION

x

Premium Brand

10% higher

Facebook Post

Friend

Economy Brand

10% lower

Car & Driver Review

Professional

Sample conjoint survey screen

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Study Details

Three industries (consumer packaged goods, mini-tablets and automobile)

Two studies (traditional Likert rating scales and conjoint analysis)

Four types of prices (10% lower pricing, comparable pricing, 5% higher pricing, 10% higher pricing)

Four types of brands (economy, generic, luxury, premium)

Four recommendation strengths (bad, moderate, good, excellent)Six thousand responses (1,000 for each industry / study)

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RECOMMENDATIONS ARE MORE IMPORTANT TO THE CONSUMER PURCHASE DECISION THAN BOTH BRAND AND PRICE

Recommendations account for 57% of the consumer purchase decision:

REC-OM-MEN-DA-

TIONS57%

PRICE28%

BRAND15%

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SIMILAR PATTERN ACROSS DIFFERENT VERTICALS

58%

34%

8%

56%

24%

19%

56%

25%

19%

Autos Electronics CPG

Recommendations

Price

Brand

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6.3%

7.3%

9.5%

10.6%

ONLINE SHARES ARE NEARLY AS VALUABLE AS IN-PERSON RECOMMENDATIONS

Consumer Ratings

Consumer Reviews

In-Person Recommendations

Online Shares

Impact on purchase intent

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RETURN ON ‘EXCELLENT’ RECOMMENDATIONS

Highly positive shares yield a return of 9.5%

Consumer Ratings Consumer Reviews Online Shares In-Person Recommendations Professional Reviews

6.3%

7.3%

9.5%

10.6% 10.2%

6.0%

6.2%

11.2

%

13.2

%

7.1%

7.6%

8.1%

9.3%

10.5

%

5.7%

8.1%

9.2%

9.3%

10.0

%

CPG Electronics Autos

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NEGATIVE RETURN ON ‘BAD’ RECOMMENDATIONSNegative shares lower purchase intent by 11.0%

Consumer

Ratings

Consumer

Review

s

Online S

hares

In-Person Reco

mmendati

ons

Profes

sional

Review

s

(11.3%) (11.2%)(11.0%)

(11.2%)

(10.2%)

(13.

1%)

(13.

1%)

(12.

5%)

(12.

9%)

(10.

6%)

(10.

6%)

(10.

5%)

(10.

6%)

(10.

5%)

(10.

2%)

(10.

0%)

(9.9

%)

(10.

0%)

(9.9

%)

CPG Electronics Autos

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THE SOURCE OF THE SHARE IS IMPORTANT

CPG Electronics Autos

8.0% 7.7% 7.5%

12.7%

8.5% 9.0%

14.0%

9.6%

10.7% 10.5%

11.7%

Strangers Acquaintances Close Friends / Family Professionals

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FOR AUTO BRANDS, AN EXCELLENT SHARE IS WORTH $3,708

Consumer Ratings

Consumer Reviews

In-Person Recommendations

Online Shares

Professional Reviews

$2,312

$3,277

$3,708

$3,766

$4,702

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Consumer Ratings

Consumer Reviews

In-Person Recommendations

Online Shares

Professional Reviews

$22.09

$23.56

$24.91

$28.76

$32.44

FOR ELECTRONICS BRANDS, AN EXCELLENT SHARE IS WORTH $25

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$0.42

$0.44

$0.92

$1.05

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Consumer Ratings

Consumer Reviews

In-Person Recommendations

Online Shares

FOR CPG BRANDS, AN EXCELLENT SHARE IS WORTH $0.92

That’s how much more consumers are willing to pay for the average supermarket product if it was positively shared about by someone in their social network.

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Key Findings

Recommendations have more impact on a consumer’s decision-making process than brand or price

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Recommendations have more impact on a consumer’s decision-making process than brand or priceHighly positive online shares generate a 9.5% increase in purchase intent, while negative reviews can decrease intent by 11.0%

Key Findings

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Recommendations have more impact on a consumer’s decision-making process than brand or priceHighly positive online shares generate a 9.5% increase in purchase intent, while negative reviews can decrease intent by 11.0%

Online sharing has a measurable effect on a product’s prices, driving incremental value by as much as $3,708 for automobiles

Online shares are nearly as valuable as in-person recommendations

Key Findings

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WHAT DOES IT ALL MEAN?

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DRIVE EARNED MEDIA SUCCESS WITH SOCIAL INSIGHTS

VIEW CURRENT CUSTOMERS AS MARKETING PARTNERS

ENABLE CUSTOMER EVANGELISM

MONITOR YOUR ONLINE PRESENCE THROUGH SHARING

ADDRESS NEGATIVE REVIEWS OPENLY AND HONESTLY

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Use social signals to determine where and when to spend media dollars

UNLOCK THE VALUE OF SHARING WITH PAID MEDIA

Use social data to identify users who shared relevant content

IDENTIFY

TARGETAlign messaging with sharers’ interests and deliver media on the

content with which they engage

OPTIMIZE

Heavy-up deployment around key events to drive conversion when

conversations are abuzz

Monitor sharing trends in real time and capitalize on user intent as quickly

as possible throughout the purchase funnel

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THE VIRTUOUS CIRCLE OF SHARING

SHARING

INSIGHTS

OPTIMIZATION

EARNED MEDIA

LARGER AUDIENCE

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[email protected]

Visit Us athttp://www.sharethis.com/learn

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