1. Introducing IKEA to the Brandwatch/Vizia Social Media Command Center concept

    28:40

    from The Socializers Added 136 0 0

    - How to discover the right stakeholders at the right time for quick startup - Effective distribution of insights to regional and departmental silos - Recommended actions beget potent enterprise-wide results - How Vizia helps stakeholders to see and touch data in a meaningful way

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    • University Lecture Series with Andreas Weigend

      06:53

      from The NewsHouse Added 36 0 0

      The NewsHouse's Julie McCullough interviews Andreas Weigend about his predictions for the future of big data, and the social data revolution.

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      • Your Visualisation Settings in Buzz Radar

        03:09

        from Buzz Radar Added 37 0 0

        How can you make your data visualisations look even better? In this three-minute video, we highlight the differences in our visualisation settings and how you can customise the global and individual visualisations in your dashboard. Your data should match your story -- and we want to help you do that in a beautiful way.

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        • Your Data Settings on Buzz Radar

          04:02

          from Buzz Radar Added 37 0 0

          Looking to get a better understanding of your Data Settings in Buzz Radar? This short three-minute video highlights what is in your Data Settings, as well as how to adjust and better maximize your data.

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          • DiscoverText in Sixty Seconds

            00:58

            from Stuart Shulman Added 9 0 0

            A high-level description of the major DiscoverText functions.

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            • Welcome to Buzz Radar

              02:43

              from Buzz Radar Added 42 0 0

              Thanks for joining Buzz Radar! To help you get acquainted with our platform, this short three-minute video will help guide you through the platform. We will cover all the basics to ensure you start off on the right foot.

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              • Engage Donors Year Round with Social Data

                01:03:03

                from Attentive.ly Added 48 0 0

                After investing so heavily in converting someone into a donor in the first place, it’s important to retain their support--yet retention of online donors can be surprisingly low, especially for first-time donors. And with nonprofits (and businesses) sending more email and social messages than ever before, your communications have to spark the interests of your fans and donors and need to be sent when your issues are top of mind. Hear digital leaders Wendy Marinaccio Husman of Donordigital and Roz Lemieux of Attentive.ly share their insights on how to renew and retain your online donors -- and how social data can help get you there. You'll learn how to: - Create a triggered email series to receive a second gift (hopefully a monthly gift!) - Reactivate lapsed single gift donors and lapsed sustainers - Launch an online renewal campaign - Segment appeals based on social mentions

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                • The return on a share: Quantifying the monetary value of social sharing, presented by Andy Stevens

                  27:34

                  from SocialMedia.org Added 15 0 0

                  SocialMedia.org's Brands-Only Summit is an annual event featuring 16 peer-to-peer collaborative workshops, 12 how-to classes, 12 real-world case studies, 3 brilliant authors, and 2 amazing keynotes. To learn more, visit socialmedia.org/summit/. To download the slide presentation in this video, visit http://wom.us/1zcQAjP. ---------------------------------------------------------------------------------------------------------------------- In his Brands-Only Summit Pre-Conference presentation, ShareThis' Andy Stevens measures and quantifies the monetary value of different forms of recommendations. Using scientific methodology, he shows the value of social recommendations relative to brand and price in determining consumer purchase intent. ---------------------------------------------------------------------------------------------------------------------- Below is live coverage of this session: — Andy: Over the last ten years, there’s been an explosion of social networks in social networks for diff purposes as well as adoption. What do all of these tools have in common? They’re all tools for people to share things with one another. — It’s change the way we shop. The New York Times 73% of people process info more deeply and thoroughly online. We know this has value. But can we put a dollar value to what that sharing’s worth. — Measure the impact of sharing on the purchase process: -Purchase intent -Price -Brand: Premium, Luxury, Economy, etc. -Recommendation: Stranger, professional, friend, etc. — How do we find this out? Do we ask them? There’s a problem with that. People answer differently from how they actually feel. — So we used the Conjoint Methodology: Uses statistical modeling to determine the relative importance of various factors affecting the consumer purchase decision. — Recommendations are more important to the consumer purchase decision that brand and price together. -Recommendation 57% -Brand 15% -Price 28% — There was a very similar pattern across different verticals for CPGs, electronics, and auto industries. Online shares are nearly as valuable as an in-person recommendation. A person is about 9.5% more likely to buy a product based on an online recommendation. 10% for in-person recommendation. That’s only a .5% difference. — But what about a negative recommendation? The negative recommendation of a product online is over 10% less likely to buy a product. For CPGs across the board, people were particularly influenced by the negative content. — One of the differences between an in-person and online recommendation is the proximity of that person to you: stranger, friend, family member, acquaintance, and professionals. A professional review trumps everything in autos and electronics. — What about the monetary value? We can ask how much more people are willing to pay based on an excellent share. -Auto: An excellent share is worth about $3,708. -Electronics (For example, a wifi only tablet): $25 -CPG (the average supermarket product): $0.92 — What does it all mean? -The first step: View current customers as marketing partners. -Enable customer evangelism wherever possible. -Monitor your online presence through sharing. -Address negative reviewss openly and honestly. By addressing it openly and honestly, you can turn the sentiment around. — How do we do this? -Unlock the potential for sharing with paid media -Use social data to identify users who shared relevant content: align messaging with sharers’ interests -Use social signals to determine where and when to spend media. — It’s a virtuous circle of sharing -People share -We get insights -We optimize for those uses -We earn more media -People share Q & A Q: What are some of the specifics about sharing? Is it a comment, a Yelp review, liking, or retweeting? A: We looked specifically at comments on posts. Any comment or shared piece of content on a social network. Q: Was your monitoring CPG specific? A: First we qualified people for what they are in the market for, if they’re the primary shopper for the family, and then described the products they’d be interested in buying. Then we asked what are the factors that drive that purpose? Q: How do you get to the number for the CPG cost per share? A: The Conjoint methodology allows us to get the the percentage impact because we look at all of the different factors that go into the decision making process (isolating it and assuming all of the other factors are equal). Price, Brand, etc. We compare the difference between that phenomenon compared with a positive recommendation and negative. Q: Were you able to see a correlation between a brand value and an employee value? A: The main thing I would take from the employer sector is people really care about what other people think of that brand.

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                  • Overview of BuzzSumo

                    07:36

                    from Lawrence Snow Added 1 0 0

                    I've been very impressed with BuzzSumo and all of its great features. BuzzSumo allows you to discover the most shared content across all social networks and run detailed analysis reports. Find influencers in any topic area, Alerts on content mentioning your keyword; or when an author or competitor publishes new content.

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                    • Social intelligence and marketing strategy, presented by Jessica Williams

                      25:33

                      from SocialMedia.org Added 31 0 0

                      SocialMedia.org's Brands-Only Summit is an annual event featuring 16 peer-to-peer collaborative workshops, 12 how-to classes, 12 real-world case studies, 3 brilliant authors, and 2 amazing keynotes. To learn more, visit socialmedia.org/summit/. To download the slide presentation in this video, visit http://wom.us/1CeTQfs. ---------------------------------------------------------------------------------------------------------------------- In her Brands-Only Summit pre-conference presentation, Visa’s Jessica Williams explains how they used social listening and analytics to help enhance traditional research projects. She talks about the three core segments their analytics are focused on: small business owners, developers, and the affluent audience. ---------------------------------------------------------------------------------------------------------------------- Below is live coverage of this session: — Jessica talks about the social intelligence progression. She explains how social intelligence can provide data at every stage of the marketing process. — At Visa, they used social intelligence in strategy planning, MSF’s, and creative briefs to hone in on marketing objectives and audience. It was also used to optimize during execution and evaluate post campaign. — Jessica got a lot of push-back from management at first. The top five reasons social data will disrupt market research: -Social data is representative. -People share everything! -Younger generations will always share. -People trust others online. -Data is not just conversational. — Jessica shares the value of social data for marketing intelligence: It’s low cost, quick, real-time data flow, unsolicited data, sampled at point of experience, global, and less vendor dependence for research. — Evolution from good to great: Enable agencies to explore a more focused set of creative concepts for higher efficiency and effectiveness. — Jessica says the possibilities for when and where the data can be used are endless. Attitudinal and behavioral: What encourages a consumer to use credit over cash? Segments: What concerns do small business owners have? Understanding influence: Articulate the role of influencers in enabling brands to tap into cultural phenomenons Competitive research: Gain knowledge of how developers view Visa compared to the competition — She shares a case study on how they made it happen. Objective: To understand topics that matter most to small business owners to help better inform SMB marketing strategy and planning. — Jessica explains the methodology: Identified the audience (800 queries), created a custom search database, did a conversation analysis, and finally conducted influencer research. — Who are the people in the panel? SMB owners are defined as owners of businesses with less than 100 employers and those with less than $25 million in annual revenue. When they queried the panel, they figured out what the small business owners wanted to talk about, how they shared content online, and how they shared their expertise on social. — This led to a new approach for Visa to make small businesses the hero. They had a new approach to content on social to champion the small business owners. — Jessica shares some of the results on their social strategy: Consistent engagement rate of over 1.00% (2x higher than LinkedIn benchmarks), 50X the number of shares/post on Twitter and LinkedIn, and 20K new business owner followers on LinkedIn. This also sparked a new approach to events: Visa created the SMB Meetup Tour where they partnered with MeetUp to bring together SMB-related groups for exclusive Visa events around the country. — The second project: Affluent Consumer Interests and Behaviors. The objective: To uncover the unstated values and attitudes of affluent (and ultra-affluent) consumers, shaped by their cultural context, in order to better understand what ultimately affects their preferences, desires and behaviors. Their methodology: identified job titles making $100K +/year, determined who they followed on Twitter, used factor analysis to determine clusters of common interests, and finally did a behavioral analysis. — The panel produced 5 million tweets. Segmentation analysis: Did a $100Kers affinity segmentation breakdown and found the interests most unique to the affluent. They identified key influencers for each interest. — We created growth profiles for each interest conversation. We did a deep dive of the panelists’ motivations. We had to re-evaluate what we classified as “affluent” because $100Kers were no longer the most popular — it was $250Kers. We took a new approach to the segment using $250Kers as our affluent. — What’s next for Visa: -Predictive modeling of payment volume based on social conversation for new product types (ie Apple Pay). -White space marketing opportunities to own cultural spaces. -New sponsorships based on developer, small business owner discussions.

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