Transcript
Page 1: Cyber Monday 2014 Social Media Review

CYBER MONDAY2014 SOCIAL MEDIA REVIEW

Page 2: Cyber Monday 2014 Social Media Review

Po

st V

olu

me

60K

45K

30K

15K

0

809,723TOTAL POST VOLUME OVER PAST 24 HOURS

20K

58K

51K

Page 3: Cyber Monday 2014 Social Media Review

59% FEMALE

41% 59%

GENDER BREAKDOWN

Page 4: Cyber Monday 2014 Social Media Review

157K 2K14K

TRENDING ON SOCIAL

Retailers and celebrities made their

last sales e�ort on social networks. Most talked about products including electronics,

gadgets, and clothing.

People mentioned weak sales reported by retailers during Black Friday/Cyber Monday. Fewer customers are

expected to take advantage of deals.

People commented about the amount of Black Friday/Cyber

Monday-related emails they received.

KEY TOPICS

Page 5: Cyber Monday 2014 Social Media Review

TRENDING ON TWITTER

TOP BRANDS

115% YoY

Nov. 2014

Nov. 2013

29K13.5K

611%YoY

Nov. 2014

Nov. 2013

5.7K802

1731%YoY

Nov. 2014

Nov. 2013

5.4K295

496%YoY

Nov. 2014

Nov. 2013

3.3K554

50%YoY

Nov. 2014

Nov. 2013

2.4K1.6K

Page 6: Cyber Monday 2014 Social Media Review

TOP SOCIAL PERFORMERS

TOP BRAND MENTIONS TOP KEYWORDS

67%

9%

7%

7%

ALL MEDIA

Amazon

AndroideBaySamsungWalmart

30%

24%

11%

8%Deal

SaleShopGiftShipping

10% 27%

Page 7: Cyber Monday 2014 Social Media Review

TOP SOCIAL PERFORMERS

HASHTAGS

6.9K10.5K306K#CyberMonday

#Amazon

#OtherTech

Page 8: Cyber Monday 2014 Social Media Review

TOP SOCIAL PERFORMERS

TWEETS

Page 9: Cyber Monday 2014 Social Media Review

#GivingTuesday

8K SOCIAL MENTIONS21M Twitter Impressions

Page 10: Cyber Monday 2014 Social Media Review

Sources: Social data was pulled from Salesforce Marketing Cloud’s Radian6. Radian6 analyzes more than 650 mil-lion data sources from Twitter, Facebook, YouTube, blogs, news sites, and more. Twitter percentage growth was based over last year’s numbers. Sources were deemed influential based on the number of respective followers, the number of on-topic posts they produced, and the number of retweets they accumulated over the reporting period.


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