Presentation at the SOCAP annual conference, 17 August 2015.
Feel free to send me any questions or comments at hugh@dialogueconsulting.com.au, or give us a call on 1300 846 768.
This document discusses using data and analytics to drive digital transformation. It notes the challenges of generating reports that lack insights and being "data rich but insight poor". It advocates embracing AI to enhance outputs and make them more actionable. It also emphasizes being data-driven to inform decisions rather than fighting, and the need for collaboration across teams. Examples are given showing the benefits of a data-driven approach through optimization tests.
This document discusses the evolving role of digital analysts to incorporate more data science skills and techniques. It describes how tools like R can be used to extract and analyze digital analytics data more efficiently than traditional dashboard and reporting tools. Programming languages and statistical analysis allow analysts to gain more insights from their data, such as detecting anomalies, correlations and conducting hypothesis tests. While challenging, learning data science skills like machine learning, statistics and data visualization can make analysts more valuable as the field progresses.
This document discusses how statistics can be misleading and manipulated. It provides examples of selection bias, such as only surveying a non-representative sample. Other ways statistics can be misleading include using biased questions, asking the wrong question, misleading graphs, implying causation from correlation, making results seem more precise than they are, and making up statistics. The document encourages critically analyzing data and graphs by checking for correct information, potential influence attempts, and proper scale usage. It also discusses how to manually manipulate real data and graphs to draw misleading conclusions.
This document discusses several graphs and statistics that can be misleading. It provides examples of graphs that use scales to exaggerate differences, imply causation, or lack necessary context. Readers are advised to consider whether the data is presented accurately, whether the graph is trying to influence them, and whether margins of error are too large.
This document discusses how graphs and statistics can be misleading. It provides examples of graphs that exaggerate differences through misleading scales or that imply correlations without sufficient evidence. Readers are advised to consider whether the data is presented accurately, whether the graph is trying to influence them, and whether conclusions follow when margins of error are large. Graphs should use regular intervals and present information clearly without biased implications.
Introduction to Open Data & Linked DataLeigh Dodds
Open data is freely available information that anyone can use for any purpose without cost. It aims to increase transparency, economic growth, and social good, while personal data is not considered open. Linked data connects related open data through web identifiers and forms a web of data, allowing for relationships between different data sources like social networks, interest graphs, health information, and fictional universes. People can get involved with open data by using resources on data portals and exploring the connections between data.
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Presentation describes the problems associated with communication with others - as an information receiver or provider - about cybersecurity and provides insights into how those problems may be overcome through structured communication, the use of positive and negative space, and the setting of perspective and context through lensing.
This document discusses using data and analytics to drive digital transformation. It notes the challenges of generating reports that lack insights and being "data rich but insight poor". It advocates embracing AI to enhance outputs and make them more actionable. It also emphasizes being data-driven to inform decisions rather than fighting, and the need for collaboration across teams. Examples are given showing the benefits of a data-driven approach through optimization tests.
This document discusses the evolving role of digital analysts to incorporate more data science skills and techniques. It describes how tools like R can be used to extract and analyze digital analytics data more efficiently than traditional dashboard and reporting tools. Programming languages and statistical analysis allow analysts to gain more insights from their data, such as detecting anomalies, correlations and conducting hypothesis tests. While challenging, learning data science skills like machine learning, statistics and data visualization can make analysts more valuable as the field progresses.
This document discusses how statistics can be misleading and manipulated. It provides examples of selection bias, such as only surveying a non-representative sample. Other ways statistics can be misleading include using biased questions, asking the wrong question, misleading graphs, implying causation from correlation, making results seem more precise than they are, and making up statistics. The document encourages critically analyzing data and graphs by checking for correct information, potential influence attempts, and proper scale usage. It also discusses how to manually manipulate real data and graphs to draw misleading conclusions.
This document discusses several graphs and statistics that can be misleading. It provides examples of graphs that use scales to exaggerate differences, imply causation, or lack necessary context. Readers are advised to consider whether the data is presented accurately, whether the graph is trying to influence them, and whether margins of error are too large.
This document discusses how graphs and statistics can be misleading. It provides examples of graphs that exaggerate differences through misleading scales or that imply correlations without sufficient evidence. Readers are advised to consider whether the data is presented accurately, whether the graph is trying to influence them, and whether conclusions follow when margins of error are large. Graphs should use regular intervals and present information clearly without biased implications.
Introduction to Open Data & Linked DataLeigh Dodds
Open data is freely available information that anyone can use for any purpose without cost. It aims to increase transparency, economic growth, and social good, while personal data is not considered open. Linked data connects related open data through web identifiers and forms a web of data, allowing for relationships between different data sources like social networks, interest graphs, health information, and fictional universes. People can get involved with open data by using resources on data portals and exploring the connections between data.
Effective Cybersecurity Communication SkillsJack Whitsitt
Presentation describes the problems associated with communication with others - as an information receiver or provider - about cybersecurity and provides insights into how those problems may be overcome through structured communication, the use of positive and negative space, and the setting of perspective and context through lensing.
Social Connections 14 - You Get What You Givepanagenda
Recording soon: http://pan.news/MKBZ30mvmCU
Abstract: Through the decades the goal of AI has been to allow companies to get better insights from unstructured big data. Essentially, work smarter, not necessarily harder. Why could Watson succeed where previous technologies have failed? And if so, does a dystopian future of man vs machine mean we are an ‘endangered’ species? Join us as we look at history to interpret the present and try to predict the future of collaboration the impact of A.I. in today’s workplace.
The document summarizes a conference on social connections and AI held in Berlin on October 16-17, 2018. It discusses challenges with employee engagement, issues with data accuracy challenging executives, and the potential for AI to help or replace humans. Speakers addressed whether machines can save overworked employees, the need to focus on augmenting rather than replacing humans, and cases where AI systems have struggled or recommended unsafe medical treatments due to a lack of human-level understanding.
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The document discusses various topics related to measuring and monitoring social media conversations. It provides 10 "laws" or principles of social media measurement, including that benefits are often in the "long tail" of metrics, participation of influencers is more important than broad reach, and measurement depends on one's goals and perspective. It also discusses the variety of social media conversations, tools for measurement, and implications for how media and marketing are evolving as social media grows in importance.
This document provides information about Catchy, an innovative startup that uses artificial intelligence to analyze big data and create narratives. It summarizes Catchy's mission to use data-driven journalism and combat fake news. The document lists Catchy's skills such as data strategy, analysis, research, visualization and communication. It also mentions that journalist Gianni Riotta is the CEO and co-founder and provides Catchy's website and social media details. Finally, it briefly outlines some of Catchy's projects and accomplishments.
This presentation reviews some top-level principles that go into a listening strategy. We also show some examples of tools that are used for listening and analytics/reporting.
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Chief data and analytics officers (CDAO) Apex Winter 2020 conference in Orlando was an intimate gathering of analytics leaders from across the world.
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The document summarizes the work of the Centre for the Analysis of Social Media (CASM). It notes that social media use has rapidly increased, capturing more political, social, and intellectual activity. CASM aims to use this "social media intelligence" or "socmint" to inform understanding, predict events, and provide situational awareness. It discusses using natural language processing to create classifiers and analyze social media data around the 2012 Olympics to detect events in real-time. However, it also outlines challenges with using social media data, including issues of representativeness, veracity, reality, validation, use, and legitimacy. It argues that social media intelligence is still an emerging discipline that must address these challenges to be a legitimate and
This document discusses how brands can socialize by participating in conversations on social media. It begins by defining what a brand truly is - a person's gut feeling rather than what a company says it is. It then discusses how branding has become important due to many options and less time for decision making. A brand builds trust through reliability and delighting customers. The document advocates using social media to differentiate, collaborate, innovate, validate and cultivate around a scalable social object to enhance customer service and generate buzz. It emphasizes that brands must participate authentically in social media rather than just use it as a tool.
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This document summarizes a talk given by Prof Charlie Beckett on the future of journalism and artificial intelligence. The talk addressed four key topics: journalism credibility, platform responsibility, online political communications, and media citizenship. A key proposal was to create an Independent Platform Agency to oversee platforms and ensure media literacy. Other proposals included funding for news innovation and legislation on political ads. Beckett discussed challenges of AI adoption in newsrooms and emphasized the need for strategies, education, and collaboration to ensure responsible development and use of these technologies.
The New Role of Epertise: Open Science in a Web of Sensors, Senses and SemanticsJohn Blossom
The document discusses how the roles of experts and scientific publishing are changing in an era of open science, sensors, and big data. It argues that expertise is becoming more collaborative and less hierarchical as knowledge moves faster globally. Experts will need to focus on developing hypotheses, understanding signals in data, and adapting to new requirements for delivering insights. Scientific publishers will need services that support collaborative innovation and make better use of open data and signals to build insight and discovery. They are encouraged to focus on hypothesis generation and testing over static reports and consider how to adapt their business models.
Focused on social media strategies and effective ways to monitor success for your non-profit or change-focused organization. Christopher Berry, Group Director of Marketing Science at Critical Mass will speak on practical social analytics.
This document provides an agenda for a lesson on quantitative market research. It discusses quantitative research methods like surveys, how they work, where participants come from, and why sampling matters. It also addresses ethics in quantitative research and reviewing concepts from the previous lesson. The key topics covered are quantitative versus qualitative research, sources of quantitative data like surveys and transactions, population versus sample, and linking survey results to the real world.
Forget pitching your editor on a story. How about pitching a nonprofit foundation on a journalism project with social impact? How about pitching an investor on building a publishing platform?
This 90-minute workshop presented at AAJA on Aug. 20, 2015 was designed to help participants develop fresh projects that can gain a support base beyond the traditional newsroom.
This document discusses measuring the impact and value of social media for recruiting. It begins by acknowledging that while social media was once seen as immeasurable, with the right approach it is possible to gain useful insights. It recommends focusing on measuring "microconversions" like growing awareness, engagement, clicks and visits from social platforms. Specific metrics are suggested for measuring the effectiveness of channels, messages, campaigns and content. The document concludes by emphasizing the importance of understanding social media's role in the talent acquisition process and mapping how prospects can be guided through the conversion funnel via social interactions and content.
Emotion Drives Behavior: Building a Data Narrativeevolve24
This document discusses using big data analytics to understand events and tell data stories. It describes how a company called evolve24 ingests large amounts of data from various sources to analyze topics like emotion, sentiment, volume and content around events. The company uses automated tools to identify trends, patterns and entities in the data to help clients understand situations and prevent adverse reactions. The document provides an example of evolve24's approach analyzing the terrorist attack on a university in Kenya to uncover insights that could help responders.
Tweetfix is a visualization platform, developed for the Fix the Fixing european project, where users can explore the results of crowdsourced data analytics from Social Media on well-known Match Fixing cases.
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Final ank Satta Matka Dpbos Final ank Satta Matta Matka 143 Kalyan Matka Guessing Final Matka Final ank Today Matka 420 Satta Batta Satta 143 Kalyan Chart Main Bazar Chart vip Matka Guessing Dpboss 143 Guessing Kalyan night
The Genesis of BriansClub.cm Famous Dark WEb PlatformSabaaSudozai
BriansClub.cm, a famous platform on the dark web, has become one of the most infamous carding marketplaces, specializing in the sale of stolen credit card data.
Social Connections 14 - You Get What You Givepanagenda
Recording soon: http://pan.news/MKBZ30mvmCU
Abstract: Through the decades the goal of AI has been to allow companies to get better insights from unstructured big data. Essentially, work smarter, not necessarily harder. Why could Watson succeed where previous technologies have failed? And if so, does a dystopian future of man vs machine mean we are an ‘endangered’ species? Join us as we look at history to interpret the present and try to predict the future of collaboration the impact of A.I. in today’s workplace.
The document summarizes a conference on social connections and AI held in Berlin on October 16-17, 2018. It discusses challenges with employee engagement, issues with data accuracy challenging executives, and the potential for AI to help or replace humans. Speakers addressed whether machines can save overworked employees, the need to focus on augmenting rather than replacing humans, and cases where AI systems have struggled or recommended unsafe medical treatments due to a lack of human-level understanding.
Achieving and measuring success on the social webBridey Lipscombe
The document discusses success on the social web and how to measure it. It outlines that success is built through developing relationships over time through many lightweight interactions. It also stresses defining objectives and success for social media that are relevant to business goals. The document provides examples of tools to measure engagement, brand health, and impact on business metrics like leads and sales.
The document discusses various topics related to measuring and monitoring social media conversations. It provides 10 "laws" or principles of social media measurement, including that benefits are often in the "long tail" of metrics, participation of influencers is more important than broad reach, and measurement depends on one's goals and perspective. It also discusses the variety of social media conversations, tools for measurement, and implications for how media and marketing are evolving as social media grows in importance.
This document provides information about Catchy, an innovative startup that uses artificial intelligence to analyze big data and create narratives. It summarizes Catchy's mission to use data-driven journalism and combat fake news. The document lists Catchy's skills such as data strategy, analysis, research, visualization and communication. It also mentions that journalist Gianni Riotta is the CEO and co-founder and provides Catchy's website and social media details. Finally, it briefly outlines some of Catchy's projects and accomplishments.
This presentation reviews some top-level principles that go into a listening strategy. We also show some examples of tools that are used for listening and analytics/reporting.
Storytelling for analytics | Naveen Gattu | CDAO Apex 2020Gramener
Chief data and analytics officers (CDAO) Apex Winter 2020 conference in Orlando was an intimate gathering of analytics leaders from across the world.
Gramener's Co-founder and COO, Naveen Gattu, spoke about the importance of storytelling on easy data consumption and impact on data-driven decision making for business users.
The document summarizes the work of the Centre for the Analysis of Social Media (CASM). It notes that social media use has rapidly increased, capturing more political, social, and intellectual activity. CASM aims to use this "social media intelligence" or "socmint" to inform understanding, predict events, and provide situational awareness. It discusses using natural language processing to create classifiers and analyze social media data around the 2012 Olympics to detect events in real-time. However, it also outlines challenges with using social media data, including issues of representativeness, veracity, reality, validation, use, and legitimacy. It argues that social media intelligence is still an emerging discipline that must address these challenges to be a legitimate and
This document discusses how brands can socialize by participating in conversations on social media. It begins by defining what a brand truly is - a person's gut feeling rather than what a company says it is. It then discusses how branding has become important due to many options and less time for decision making. A brand builds trust through reliability and delighting customers. The document advocates using social media to differentiate, collaborate, innovate, validate and cultivate around a scalable social object to enhance customer service and generate buzz. It emphasizes that brands must participate authentically in social media rather than just use it as a tool.
Starting With The Right Data on Your Analytics Journey: with Apryl DeLanceyApryl Boyle
The document provides tips and strategies for marketing analytics from Apryl DeLancey, President of Social Age Media. It recommends starting with clear goals, focusing on key metrics like awareness, engagement, and conversion, and avoiding overcomplicating analyses. Data should be tested and visualized, and unnecessary data left out. The example of marketing to US audiences on behalf of Spain's tourism office increased US Facebook engagement for the account.
This document summarizes a talk given by Prof Charlie Beckett on the future of journalism and artificial intelligence. The talk addressed four key topics: journalism credibility, platform responsibility, online political communications, and media citizenship. A key proposal was to create an Independent Platform Agency to oversee platforms and ensure media literacy. Other proposals included funding for news innovation and legislation on political ads. Beckett discussed challenges of AI adoption in newsrooms and emphasized the need for strategies, education, and collaboration to ensure responsible development and use of these technologies.
The New Role of Epertise: Open Science in a Web of Sensors, Senses and SemanticsJohn Blossom
The document discusses how the roles of experts and scientific publishing are changing in an era of open science, sensors, and big data. It argues that expertise is becoming more collaborative and less hierarchical as knowledge moves faster globally. Experts will need to focus on developing hypotheses, understanding signals in data, and adapting to new requirements for delivering insights. Scientific publishers will need services that support collaborative innovation and make better use of open data and signals to build insight and discovery. They are encouraged to focus on hypothesis generation and testing over static reports and consider how to adapt their business models.
Focused on social media strategies and effective ways to monitor success for your non-profit or change-focused organization. Christopher Berry, Group Director of Marketing Science at Critical Mass will speak on practical social analytics.
This document provides an agenda for a lesson on quantitative market research. It discusses quantitative research methods like surveys, how they work, where participants come from, and why sampling matters. It also addresses ethics in quantitative research and reviewing concepts from the previous lesson. The key topics covered are quantitative versus qualitative research, sources of quantitative data like surveys and transactions, population versus sample, and linking survey results to the real world.
Forget pitching your editor on a story. How about pitching a nonprofit foundation on a journalism project with social impact? How about pitching an investor on building a publishing platform?
This 90-minute workshop presented at AAJA on Aug. 20, 2015 was designed to help participants develop fresh projects that can gain a support base beyond the traditional newsroom.
This document discusses measuring the impact and value of social media for recruiting. It begins by acknowledging that while social media was once seen as immeasurable, with the right approach it is possible to gain useful insights. It recommends focusing on measuring "microconversions" like growing awareness, engagement, clicks and visits from social platforms. Specific metrics are suggested for measuring the effectiveness of channels, messages, campaigns and content. The document concludes by emphasizing the importance of understanding social media's role in the talent acquisition process and mapping how prospects can be guided through the conversion funnel via social interactions and content.
Emotion Drives Behavior: Building a Data Narrativeevolve24
This document discusses using big data analytics to understand events and tell data stories. It describes how a company called evolve24 ingests large amounts of data from various sources to analyze topics like emotion, sentiment, volume and content around events. The company uses automated tools to identify trends, patterns and entities in the data to help clients understand situations and prevent adverse reactions. The document provides an example of evolve24's approach analyzing the terrorist attack on a university in Kenya to uncover insights that could help responders.
Tweetfix is a visualization platform, developed for the Fix the Fixing european project, where users can explore the results of crowdsourced data analytics from Social Media on well-known Match Fixing cases.
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Final ank Satta Matka Dpbos Final ank Satta Matta Matka 143 Kalyan Matka Guessing Final Matka Final ank Today Matka 420 Satta Batta Satta 143 Kalyan Chart Main Bazar Chart vip Matka Guessing Dpboss 143 Guessing Kalyan night
The Genesis of BriansClub.cm Famous Dark WEb PlatformSabaaSudozai
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7. 17-Aug-15
Social Media is a communication tool.
It’s anything that uses the internet to facilitate communication.
The value of social media is the networks and communities of relationships that it can
cultivate.
A relationship can only be valuable if it is real.
It’s totally useless to both parties if it’s fake.
***
A communications strategy is used to establish the means by which you are going to
deliver value to both ends of the relationship.
7
A paradigm based on principles.
32. 17-Aug-15
What’s the problem
• Time = $
• $ ≠ ∞
• People don’t care about you
• Cost increases exponentially
• But you can save $ with social – diversionary
savings.
32
33. 17-Aug-15
What’s the value?
• Identify a clear value proposition.
– Why should someone click ‘Like’?
– Why should someone click ‘Comment’?
• Might be ‘free stuff’ or something of more
meaningful value (improve experience for others,
inform of issues, get to front of queue, preferred
channel)
• What’s the value to you?
33
39. 17-Aug-15
Directly addressing the problem.
That same health insurer used social media as a means for people to lodge their
complaint and call them back. They leveraged the problems they were receiving to
find their strategy
39
52. 17-Aug-15
The real reason why it’s awesome (what you
don’t see).
• The entire organisation working together (almost everyone, that’s hard.)
• It’s not all on a single person (~2-4 people, hundreds of officers, one presence)
• The process of how they built that (slowly)
• There is no workflow diagram, no formalized process – it needs to be fluid.
(because they have no idea what they’re going to find tomorrow)
• But you need to learn the rules before you break them – building trust is a slow
process.
• Expectations being exceeded (authenticity, humanization, empathy)
• Because it’s fluid and because they have a clearly communicated centre of gravity,
there’s no obstacle they can’t get around. (“We’ve never had a major problem.”)
• Everyone has ownership, everyone is on the same page.
52
59. 17-Aug-15
The (real) risk of silence.
• Nobody cares and the resources are wasted.
• Not actually the worst thing from a customer service perspective.
• However… Just so we’re clear… What’s our exit strategy?
• How will we know when we even need to implement it?
59
60. 17-Aug-15
The real risks (likelihood/impact)
• Stuff goes wrong (low/*)
• Nothing happens (medium-high/low)
• You look stupid for not being there (high/medium)
• People talk about you anyway (high/medium)
• You don’t behave consistently (?/high)
60
62. 17-Aug-15
Key themes for success
• Listen more than speak
• Use customer-preferred channel as far as possible
• Respond in kind
• Speed of response – even if only a holding statement
• Consistency and processes
• Evaluate to prove value and return
• Never delete anything
62
64. 17-Aug-15
Questions?
• Myth 1:
Everybody uses social media.
• Myth 2:
Social media is free.
• Myth 3:
You need to be there.
• Myth 4:
Social media is different.
• Myth 5:
We can’t be interesting.
• Myth 6:
It’s too risky.
64
65. 17-Aug-15
My contact information
• http://www.dialogueconsulting.com.au
• hugh@dialogueconsulting.com.au
• 1300 846 768 / 0431 304 464
65
Editor's Notes
Before we talk about social media for bottom line value, we need to acknowledge a fundamental truth about what social media is actually for.
Creativity is incredibly valuable. But creativity should be sandwiched between context, and a desired outcome.
+ demo IG
Strategy execution avenues
Up to 10/15 per day.
Allergy pathway case 2011
Australian Association of National Advertisers Code of Ethics.
VB: “statements of personal preference” – When VB asked whether they should give Roger Federer VB when he arrived in Australia, fans relied: “I bet the poofter don’t even drink” and give him a “dildo so he can fornicate himself”.
VB asked fans to submit Australia day photos; one photo featuring three young men with no shirts on prompted fans to say they were “gay as fuckin aids” and “bloody poofs vb in front of yas and ya drinking fag drinks”.
On this basis, they claimed it was “beyond doubt” that statements such as “women should be chained 2 da kitchen! Lmfao” are ironic and humorous, and therefore not discriminatory or vilifying to anyone in the community. The ASB disagreed.
The Board determined that an advertiser’s Facebook site is a marketing tool over which the advertiser has a reasonable degree of control and that the site is designed to promote the product. On that basis, the Board determined that the Code applies to a brand owner’s Facebook page. Crucially, the Board further determined that the Code applies to all contents on the page – i.e. both the content posted by the brand owner and material or comments posted by users.
All offensive material must be removed “within a reasonable timeframe”.
Smirnoff part – what is and isn’t advertising? Found that images from music festivals (Smirnoff “benefit of those in photos”) were ads.