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Signal from Noise: Deriving Business Implications from Social Analytics

Date post: 09-May-2015
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Whole Foods' Natanya Anderson, Brooks Brothers Jason Nickel, Gannett's Sarah Babiarz, and ARAMARK's Aileen Dreibelbis discuss how businesses can go from social data to insight, and from insight to action with Spredfast. This panel will discuss: Best practices to derive trends and meaning from data, create meaningful insights for all social stakeholders, and how to take action on social insights.
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Page 1: Signal from Noise: Deriving Business Implications from Social Analytics
Page 2: Signal from Noise: Deriving Business Implications from Social Analytics

Deriving Business Implications from Social Analytics

NATANYA ANDERSONWHOLE FOODS

@NATANYAP

JASON NICKEL BROOKS BROTHERS@NICKEL_N_DIMED

AILEEN DREIBELBIS

ARAMARK@ADREIBS

SARA BABIARZ GANNETT

@SARABABS

signal from noise

Page 3: Signal from Noise: Deriving Business Implications from Social Analytics

#ownthe(data)dragon

Using Data to Drive Outcomes

Page 4: Signal from Noise: Deriving Business Implications from Social Analytics

9M: # of website visits in a year

306: # of schools

108K: # of posts per year

167K: # of student survey responders

163K: # new engaged users per year

Page 5: Signal from Noise: Deriving Business Implications from Social Analytics

DATA BY AUDIENCE

Community Managers

• Provide immediate action items

• Focus on business outcomes

• Don’t overwhelm with data

Content Creators

• Improve content performance

• Teach social writing

• Path to purchase

Executives

• Secure support• Demonstrate

success• Identify

opportunities for growth/ gaps in resources

• Equip with talking points

Strategists

• Data-driven decisions

• Areas of focus• Resource

needs

Page 6: Signal from Noise: Deriving Business Implications from Social Analytics

EMPOWER COMMUNITY MANAGERS

Page 7: Signal from Noise: Deriving Business Implications from Social Analytics

INSIGHTS & OUTCOMES

Community Managers

Insight: Fans spend 39% more

than non-fans

Outcome: Built real-time scorecard

to promote fan growth &

engagement goals

Content Creators

Insight

Outcome

Executives

Insight

Outcome

Strategists

Insight

Outcome

Page 8: Signal from Noise: Deriving Business Implications from Social Analytics

INFLUENCE CONTENT CREATORS

Page 9: Signal from Noise: Deriving Business Implications from Social Analytics

INSIGHTS & OUTCOMES

Community Managers

Insight: Fans spend 39% more

than non-fans

Outcome: Built real-time scorecard

to promote fan growth &

engagement goals

Content Creators

Insight: Links drive 198% more engagement

Outcome: Increased use of

links by 47%

Executives

Insight

Outcome

Strategists

Insight

Outcome

Page 10: Signal from Noise: Deriving Business Implications from Social Analytics

50K site visits from social

200% ROI on Ads

Fans spend 39% more

INFORM EXECUTIVES

Web Traffic

Facebook Ads

Market Research

Pave the Path to

Purchase

Page 11: Signal from Noise: Deriving Business Implications from Social Analytics

INSIGHTS & OUTCOMES

Community Managers

Insight: Fans spend 39% more

than non-fans

Outcome: Built real-time scorecard

to promote fan growth &

engagement goals

Content Creators

Insight: Links drive 198% more engagement

Outcome: Increase use of links by 47%

Executives

Insight: Increased product sales by 8% during ad campaign

Outcome: Double ad budget for 2013-

2014

Strategists

Insight

Outcome

Page 12: Signal from Noise: Deriving Business Implications from Social Analytics

GUIDE STRATEGISTS

Page 13: Signal from Noise: Deriving Business Implications from Social Analytics

INSIGHTS & OUTCOMES

Community Managers

Insight: Fans spend 39% more

than non-fans

Outcome: Built real-time scorecard

to promote fan growth &

engagement goals

Content Creators

Insight: Links drive 198% more engagement

Outcome: Increase use of links by 47%

Executives

Insight: Increased product sales by 8% during ad campaign

Outcome: Double budget for 2013-

2014

Strategists

Insight: Regional performance

inhibited by small schools

Outcome: Established

benchmarks based on segment & support level

Page 14: Signal from Noise: Deriving Business Implications from Social Analytics

RISKS

• Over-reaching for correlations– Facebook will NOT automatically grow revenue by 39%

• Looking for trends too soon– Long-term insights take time– Consider different ways to “slice and dice”

• Using too many data sources– Streamline # of data sources to “answer” each question– Don’t overwhelm

Page 15: Signal from Noise: Deriving Business Implications from Social Analytics

gannett digital/usatoday.com

Deriving Business Implications from Social Analytics

Page 16: Signal from Noise: Deriving Business Implications from Social Analytics

REPORTING SOCIAL ANALYTICS + KEY METRICS

Key Metrics•Fans/Followers •Facebook/Twitter Engagement•Facebook/Twitter Engagement %•Content Shares •Facebook Comments•Top Facebook/Twitter Content•Referrals from Facebook/Twitter

*The above data is not actual

Page 17: Signal from Noise: Deriving Business Implications from Social Analytics

USA TODAY + FACEBOOK• Using Facebook Insights, USA TODAY identifies high-performing posts on our page, chooses the best ones and promotes them to a larger

audiences. Promoted content reaches far more people than organic-only content, driving additional traffic to our site. Since we started promoting posts on FB, traffic to USATODAY.com from Facebook has increased 53% YoY.

• Most often, these are photo posts, a breaking news status, and sports related content. Some of our most popular posts in the past have included, Elections content, Boston Marathon related content, and Olympics content.

Page 18: Signal from Noise: Deriving Business Implications from Social Analytics

USA TODAY + TWITTER• Using Omniture, we are able to identify the type of content that drives users to USATODAY.com from Twitter. This helps us in

identifying the type of content our Twitter audience is most interested in. Most often, this content is related to sports and pop culture.

• Most popular stories driving content to USATODAY.com from Twitter over the past year:

- J.K. Rowling Announces New Harry Potter Book (pop culture)- USA TODAY Coaches Poll (sports)- MLB prepared to ban A-Rob for Life (sports)- Exclusive: The Manning brothers made a rap video and it is epic (sports)

• While USA TODAY has participated in some paid advertising efforts on Twitter, the success we see (in terms of paid advertising) on Facebook is much larger. As a result we concentrate our time and money on Facebook.

Page 19: Signal from Noise: Deriving Business Implications from Social Analytics

USA TODAY SITE ENGAGEMENT• Post site relaunch, USATODAY.com’s social share buttons were not prominently displayed. Through tracking social data related to

content shares, we were able to identify that these buttons needed to be more visible to the user in order for an article to be shared to Facebook, Twitter, Linkedin, G+, ect.

• As a result of moving the share buttons, content shares to social networks have increased more than 245% YoY.

Page 20: Signal from Noise: Deriving Business Implications from Social Analytics

USA TODAY DEMOGRAPHICS, REFERRALS, INSTAGRAM

Page 21: Signal from Noise: Deriving Business Implications from Social Analytics

thank you!

Questions or Comments? • Tweet Me @SaraBabs• Email Me [email protected]

Page 22: Signal from Noise: Deriving Business Implications from Social Analytics

#idontunderstandHow we talk about

Social at Brooks Brothers

Page 23: Signal from Noise: Deriving Business Implications from Social Analytics

CHALLENGES

Consistency

&

Comprehension

Page 24: Signal from Noise: Deriving Business Implications from Social Analytics

CONSISTENCY

Metrics change

Each space is unique

Availability

Page 25: Signal from Noise: Deriving Business Implications from Social Analytics

COMPREHENSION

The Asterisk Effect*

Page 26: Signal from Noise: Deriving Business Implications from Social Analytics

INSIGHTS NOT NUMBERS

Campaign level sentiment• Move past S.I.T.• Allows aggregation

Find the golden nuggets

Page 27: Signal from Noise: Deriving Business Implications from Social Analytics
Page 28: Signal from Noise: Deriving Business Implications from Social Analytics
Page 29: Signal from Noise: Deriving Business Implications from Social Analytics

TWO SIDESThe Business

• Direct Response• Engagement• Takeaways - reordering grids, increasing buy

The Creative Crowd • Sentiment • Engagement• Takeaways – content slices for product pages

Page 30: Signal from Noise: Deriving Business Implications from Social Analytics

TAKE 45

• Foster internal advocacy• 45 minute lunch sessions• Break down barriers

• Best ideas aren’t always yours


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