The Socializers | social monitoring and network analysis

Insight-driven Action and Customer-Centric Operatives

admin January 24, 2011 No Comments

Insight-driven action in a data-flooded age must be heart-centered. The most important segment of the customer-experience cycle is post-conversion (something was bought), pre-evangelization (the customer tells his/her friends). In that sweet spot, brands must engage the user in dialogue, be open to education BY the customer and take action based on opportunity occurring in the present.

A core list of key influencers drops one very quickly into mine-able territory for content, business connections, tools, and relationship. Useable social intelligence delivers punchy actions with targeted influencer graphs in which to carry out those actions. Chris Ramsey, EVP BizDev, Radian6, writes, “Social media is a two-way communication platform, not a broadcast platform, and it’s all about engagement and relationships.” Amber Naslund, Director of Strategy for Radian6 writes, “Social media marketing is contextually appropriate, just-in-time marketing where you find a chance to engage authentically, and you take it.”

Companies ought to consider the benefit of having in-house curators and/or relationships with 3rd party curators of vertical-specific content. In this way, they will own verticals and niches and be seen as authorities in both the internal development AND in listening to the customer of this niche. Those brands who rule niches through curation will be seen as thought-leaders. And the only way to be a true thought-leader is to spend plenty of time listening. We derive powerful insights and even more powerful action by listening.

Klout CEO and co-founder Joe Fernandez writes, “…target the few key influencers who have authority around a given topic and allow them to tell the story. The message is then amplified up through the network to reach a large engaged audience that trusts the message sender. We’ve basically flipped the funnel upside down.” The weaving of reflection AND action within such an approach is masterful and demonstrates the ideal ethos of actionable intelligence. Creativity around one conversation, one circle of influencers, one city can lead to immense opportunities. Product-centric thinkers are second to customer-centric action-agents. It is simply more practical to be relational vs. transactional in today’s business climate.

We live in times when independent operatives, moving swift and fast, have become more successful than giant entities, moving like cruise ships. Such operatives have an idea, angel-fund the idea and balloon the idea into a global community. Or such operatives provide specialized deliverables like comprehensive social intelligence reports (Business Intelligence), Community Manager training/supervision and Social-Action tools training.

Social Analytics in 2011

admin January 11, 2011 No Comments

After reading a recent excellent blogpost by Brian Solis on the future of research, I took some time to expand the input of one contributor, Mr. Ray Wang.

Here’s an outlook on social analytics for 2011 by myself and Mr. Ray Wang:

Overall, on a global scale, social analytics will evolve in 2011 from ad-hoc experiments into refined information services. Enterprise-level organizations should continue with experimenting in listening services that filter out noise from the social sphere, identify trends that deliver insight, and create models that support prediction.

Regionally, it is recommended to identify LOCAL providers who have a deep understanding of the local language and customs. As algorithms increase in complexity, global tools will have to adapt to these regional and cultural differences, as well as requiring greater vertical specialization. The global tools like Sysomos, while very good, will no longer be able to support in house efforts due to the volume of demand and that may effect quality. A new breed of LOCAL information brokers will aid global intel providers in delivering social analytics at a scale and specificity that will support the challenges of big data in heterogeneous systems. Expect vendors such as Sysomos, Alterian, Attensity, Buzzmetrics, Cymfony, IBM, Radian6, SAS, Scoutlabs, Telligent, and Visible to shift their business models from software vendors to information brokers.

Regional Business Intelligence providers with LOCAL vendors trained in Predictive Analytics, Semantic Analysis, Cluster Analysis, and active in hands-on solutions analyzing the local language are important allies/partners to these global tools. This is clearly seen upon going into the representation of the data by these global social media intelligence providers with LOCAL analysts. Refinement of the data MUST be accomplished by native speakers. It is advised that the global tools identify regional managers to (a) make sales (b) identify local highly trained analysts who speak the language natively and ( c ) shift their identity from a tools centered approach to human-refined intelligence provision.

Finally, the leaders in the field will form alliances with social action tools like Hoot Suite and Buddy Media to mutually enhance value proposition. M&A in this area is an important evolutionary step for those organizations keen to the benefit of actionable intelligence. Brands want punchy insights, smart recommendations based on these insights along with actions that may be measured.

Next week: I will compare a study/intel panel creation I did for a major global food brand using various intelligence tools (both local to a country and global) TO a study/intel panel creation just completed for a major foreign bank. I will also include what worked and what didn’t work as part of this blogpost.

Social Fishing Rods: The W’s of Social Intelligence Gathering

admin December 15, 2010 No Comments

The W’s of journalism can be a great starting point for asking questions in social intelligence projects. See below expansion of the W’s for social intel, business intel and general social media monitoring work.

Note that the trend in 2011 will be towards integrating “action buttons” WITHIN social intel panels so that community managers can take meaningful and potent action on real-time intelligence.

Another take on this is that actionable tools like BuddyMedia will integrate increasingly powerful business-related intelligence within their already robust metrics panels, informing pre-campaign strategic process and whole-campaign adjustments. Research.ly is an example of a tool where one receives real-time intelligence from social networks and can act on that intelligence using a Twitter posting field.

Punchy insights from real-time data will inform strategic thinking AND the functionality of “social action” buttons used by non-analytical/non-technical Community Managers. Social Intel Tools will merge with Social Management Tools.

▪ WHO:
•Who are your current followers? Who follows them? (GIST)
• How can I take all of my connections established using social media + my contact database, and visually map out a path from my organization to those individuals/companies that will be beneficial to our initiatives? How can I clearly identify the connection paths, labeling what type of connection it is, and the role of the individuals? (PeopleMaps)
•Who is talking about your brand/product/services/employees? (Social Listening Tools)
•Would any of these individuals make good brand ambassadors, community managers, or customer advocates?
(WeFollow, PeerIndex, Klout, Listorious, Research.ly)
•Which of your current followers are already key influencers in your niche or a related vertical?
(WeFollow, PeerIndex, Klout, Listorious, TwitterGrader, Research.ly)
•Who influences them? And who influences those influencers?
(WeFollow, PeerIndex, Klout, Listorious)
•What Twitter lists are these influencers on or following?
(Listorious)
•How influential are those people in your niche?
(Klout)
•Which of these influencers receive tons of comments?
(ConvoTrack, Technorati, Listorious, CoComment, Backtype)
•Which have tons of followers?
(Listorious)
•Who are the top influencers for your niche?
(WeFollow, PeerIndex, Klout, Listorious)

▪ WHAT:
•What are your stakeholders/fans/allies saying about you?
•What questions are they asking? (Quora)
•What are customers feeling about your brand/product/services/employees?
(One of the world’s greatest experts in the field of discovering sentiment and feeling – Life Analytics)
•What reactions do these stakeholders/fans/allies have about your brand/product/services/employees?
•How can you engage your followers/key influencers beyond a passing mention of the brand/product/services/employees? (Consume Brian Solis and Seth Godin material).
• How can you engage your employees/team members in more effective collaboration and gain insight based on collaborative feedback? (Spigit, 37 Signals)
•What percentage of the conversations are positive, negative or neutral?
•What are the actions of “peers” or the circle of customers around the brand/product/service in social networks?
•Are your customers/typical purchasers active in social networks? What is the ethos of their online culture?
•What are useful resources to research your brand/product/services/employees/vertical/niche? (Social Tools, Twitter Tools, The Journalist’s ToolBox, TwentyFeet, SproutSocial, Research.ly)
• What apps might provide access to my ideal followers/customers/fans/influencers? (AppData)

▪ WHERE:
•Where are your stakeholders/fans/allies located in social networks? (Flowtown, IntroMojo, GIST)
• Where do I stand in relation to my competitors in terms of traffic, share of voice, engagement? (Compete, Alexa, Klout)
•In which of the following are the conversations happening about your brand/product/services/employees?:
-Twitter (Listorious, Twitter Search, Twazzup, Topsy Search)
-Facebook page-threads, Facebook groups, Facebook Key Influencer wall-threads (Facebook Insights, All Facebook Page Leaderboards, Booshaka)
-blog threads (Social Tools, CoComment, Backtype)
-forum threads (Social Tools, CoComment, Backtype, Board Reader)
-web communities (Joongel)
-top-of-mind comment threads (Board Reader, Social Tools, CoComment, Backtype)
-video comments/shares (YouTube Keyword Tool)
-photo comments/shares (Flickr Advanced Search)
-presentation comments/shares (Slideshare search window, Scribd search window)
-LinkedIn groups/comment-threads
-location-based networks (4sqSearch)
•Consider the relative merits/benefits of joining a well-followed conversation vs. creating one.

▪ WHEN:
•What time of day are people talking about you?
•What time of the week/month/year?
•Are the conversations event-driven?
•Are the conversations cyclical/seasonal?
•How do you keep the conversation going during the off-season/non-event times?

▪ WHY: (beware of analysis paralysis on this category!!)
•Why are there spikes in conversation around your brand/product/services/employees?
•What events occurred, what specific words were said, what personalities were involved?
•The answers to the above questions can inform the broader WHY question.
•Create the BIG picture with a Montage (FuseLabs Montage) or hashtag/@-sourced/RSS-sourced real-time publication like Paper.li. Publish all of your findings as a report. (How to Write and Publish an eBook).
• Leave where you are and begin something new. Learn how at Startup School, at Seth Godin and through Tim Ferriss.
• Stay where you are and make a change. Same as above + read Charlene Li’s Open Leadership book + Jeremiah Owyang’s Web Strategist blog.

Aphrodite and Merlin: Stories that teach AND delight potentiate an evolution in consciousness

admin November 28, 2010 No Comments

Stories that teach/delight potentiate an evolution in consciousness in individuals and culture change in communities. Discover what’s delighting the world through social intelligence tools. Discover what has historically taught people through quotes from the ancient poets and philosophers. Merge the two in your content to attract AND feed your audience. Be at once Aphrodite, the goddess of love from Greek myth, AND Merlin, the wizard from Arthurian legend. Let these two teach you in this.

Aphrodite’s Story (the Delighter): Aphrodite (Greek Ἀφροδίτη) is the Greek goddess of love, beauty, and sexuality. Her Roman equivalent is the goddess Venus. Historically, her cult in Greece was imported from, or influenced by, the cult of Astarte in Phoenicia. According to Hesiod’s Theogony, she was born when Cronus cut off Uranus’ genitals and threw them into the sea, and from the sea foam (aphros) arose Aphrodite.

Because of her beauty other gods feared that jealousy would interrupt the peace among them and lead to war, and so Zeus married her to Hephaestus, who was not viewed as a threat. Aphrodite had many lovers, both gods like Ares, and men like Anchises. Aphrodite also became instrumental in the Eros and Psyche legend, and later was both Adonis’ lover and his surrogate mother. Many lesser beings were said to be children of Aphrodite.

Aphrodite is also known as Cytherea (Lady of Cythera) and Cypris (Lady of Cyprus) after the two cult-sites, Cythera and Cyprus, which claimed her birth. Myrtles, doves, sparrows, horses, and swans are sacred to her. The Greeks further identified the Ancient Egyptian goddess Hathor with Aphrodite.[4] Aphrodite also has many other local names, such as Acidalia, Cytherea and Cerigo, used in specific areas of Greece. Each goddess demanded a slightly different cult but Greeks recognized in their overall similarities the one Aphrodite. Attic philosophers of the fourth century separated a celestial Aphrodite (Aprodite Urania) of transcendent principles with the common Aphrodite of the people (Aphrodite Pandemos).

Customer Intelligence in a real-time social eco-system

admin November 18, 2010 No Comments

The pressing need in customer intelligence is a solution related to a real-time eco-system. One deeper philosophical issue in this space relates to variable velocity, to quote Lee Bryant. Tools like PeerIndex and Recorded Future do a good job of segmenting and defining the truly staggering flow of data AND audiences interacting with that data. Datasift (http://datasift.net/) is a leader in architecting methodologies for analyzing the complex fabric of the social Internet.

For an important new study on Customer Intelligence Trends 2011, see the following Forrester Report: ‎”At the same time, the demand for insight — not just data — in real time creates a challenge but also a huge opportunity to extend the value of Customer Intelligence throughout the enterprise. Leading CI professionals who evolve and adapt to these trends will quickly find themselves at the nexus of the business.” ~from Customer Intelligence Trends To Watch In 2011 (http://bit.ly/customer_intelligence_trends_2011)

WHAT IS BUSINESS INTELLIGENCE: DEFINITIONS
(Some basic info below)

Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments or associated costs and incomes.

BI technologies provide historical, current, and predictive views of business operations. Common functions of Business Intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics.

Business Intelligence often aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS). Though the term business intelligence is often used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence is done by gathering, analyzing and disseminating information with or without support from technology and applications, and focuses on all-source information and data (unstructured or structured), mostly external, but also internal to a company, to support decision making. (SOURCE)

The global business intelligence (BI) software market is projected to reach $12.4 billion by the year 2015, driven by the growing need to empower all stakeholders of businesses with right information at the appropriate time.

Uncertain economic conditions, intense competition and increasing volumes of organizational information are forcing enterprises to seek efficient means of deriving value from information for improving the overall efficiency of business processes. In this regard, BI technology is emerging as an essential tool for identifying new revenue-generation opportunities as well as to control unproductive expenditures. BI offers tools, processes and applications for facilitating organizations to analyze and consolidate data gathered from various sources for optimizing operational performance and for improving business decision-making. BI and analytics software helps organizations to analyze the information built up over the years, which resides in the enterprise systems. (Source)