Harriet Fryman interviewed at Web 2.0 Summit 2011
summary
Combines enterprise BI with social feeds to turn social chatter into measurable drivers of sales and marketing performance using sentiment analysis over Twitter and Facebook and keyword tracking to find signal in noise. Describes using earned versus bought media and applying analytics to recommendations and favorites to reallocate budgets and measure ROI of social spend. Gives the FIFA ball example as proof that sentiment can move outcomes and says marketing teams shift spend accordingly.
AI-written summary · about
chapters (4)
related talks
35mFireside chat: Digital IQ and marketing big data
05mCameron Marlow at Social Graph Foo Camp, February 2008
11minterviewed at – Lutz Finger
01h 05mSocial Text, Sentiment, and Tone Analysis
43mConsumer Intelligence and the Age of Predictive Marketing Analytics
43mSentiment Analysis in Action: Building Your Real-time Pipeline
20mPredicting content virality to drive social traffic
28mSocial n/w Analytics to enhance Marketing Outcomes in Telecom Sector