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Friday Five: Considerations for Social Intelligence Auditing

Understanding the social landscape of a brand and its competitors is an important first step in social business planning. Auditing a brand’s social and digital presence is a relevant step in strategic planning for both new business and longstanding accounts. In addition, digital audits become a physical asset and learning tool for clients, agency partners and agency teams.

Audits should be conducted by someone who understands the digital landscape, transmedia storytelling, and data-driven insights. The social intelligence analyst role is a new junior to mid-level role in agencies and digital consultancies that engages closely with senior-level strategy teams. And, as is the case with any piece of research, social media audits are not done overnight, they are most definitely not “cheap,” and they should always be done by trained analysts.

This week’s Friday Five explores some of the components of an audit, as well as insights on how to present and use an audit once it’s completed.

  1. What is the goal of an audit?
  2. While audits can answer many questions, the first component of executing an audit is to understand the big questions that need to be answered about how and what a community thinks about a particular topic. Some examples of audit goals include understanding the online audience, identifying the drivers of conversation within a market segment, how much a brand impacts conversation and sentiment, and who is influencing the conversation. The process of answering these questions through an audit is relatively consistent, but knowing the objective of an audit results in a valuable piece of research. Then, it is possible to hypothesize the “why?” that aligns with the social behaviors uncovered in the audit. That is where the valuable data points turn into actionable insights.

  3. Sentiment and topical analysis
  4. By analyzing public conversations about a brand and its competitors, a brand can begin to understand the social landscape, where it fits within that landscape, and where opportunities lie.

    It’s important to think like the consumer when evaluating whether a post is positive or negative. The big question: if a consumer read this tweet, blog post, or forum reply, would he or she perceive the brand to be good or bad? Would this be an endorsement or criticism? A deeper level of research can include a customized approach based on the brand, market segment, period in time, or even the online audience being listened to. Some topical data categorizations include consumer type (repeat user, new user, potential user, employee) and comment type (question, complaint, sales lead), but should be customized and amended for each brand.

  5. Digital foot-printing
  6. For both a brand and the competitive set, looking at owned online properties, such as a brand’s website or blog, and how they fit together with social media and messaging is a valuable exercise in understanding the brand’s approach to the digital landscape. To get a glimpse of a brand and its competitor’s social media strategy, take a look at its social media properties. As mentioned above around sentiment and topical analysis, this should always have a stakeholder-centric lens of analysis. When stakeholders look for a brand’s Facebook page, what do they see? This is the type of information that must be analyzed relative to the brand’s overall presence online, but also within the competitive landscape. You might find that the brand has a splintered and confusing social presence, or you might be able to begin analyzing and educating your team on a best-in-class social media strategy for a niche market.

  7. SWOT
  8. Anyone in marketing will recognize the single wrap-up slide in a deck presented in the four quadrant structure – Strengths, Weaknesses, Opportunities, and Threats.  Applying this universal framework to your social audit can hit home the big insights. Ask yourself, “if I have one slide to explain what the brand is doing relative to its business objective, what would I put on it?” Feel free to get creative on the presentation of the insights, but the core components are the same as every other form of marketing. Does this drive business? Are the goals of the business being met?  This is a lot of hard work and data analysis put into a pretty box with a neat bow. Consider that the richness that comes from a social media audit – it allows for a simple SWOT analysis followed by supporting data. This supporting data helps tell the story that the SWOT highlighted.

  9. Visualization
  10. When an audit is complete, the key to data digestion is clarity. Ask a designer or visual thinker on the team to go through the audit, and ask, “What do you think upon first impression?” Common answers include, “whoa, that’s a lot of numbers.” or, “whoa, that’s a ton of copy.” The audience for the audit, whether internal, external, or both will think the same thing. Adjust the visual data and insights representation to hit home the big points. You won’t know this structure until the last moment of an audit, and often you will restructure the whole document. Just make sure to plan ahead to allow time for this – the all-important narrative required to convey any story – data or otherwise.

The audit is a resource that should be referenced often – from shifting communications objectives to aligning a marketing strategy with the social landscape – and evolved over time, it is a living, breathing piece of market research.

What are some of the questions that you are trying to answer by using social and digital audits?

Kred: A Focus on the Community

This post was originally published on Seldom Seen Kid.

Kred is the latest tool designed to measure your Twitter influence, built by the good folks at Peoplebrowsr.

The Good Stuff

In the version I’ve had a play with, there are several sections choc-full of data to play with.

Overview: This is your dashboard that gives you the headline, ie, your score and recent activity; who you’ve retweeted, conversations you’ve had, who has mentioned you etc.

Activity: This is where it starts to get very cool. One of the best things about Peoplebrowsr is the ability to segregate by community – Kred has taken this technology too. This means that when you’re looking at influence, it can be broken down by interest area, such as social media, or sport.

What’s really interesting here is that you can not only see your communities, but click through to see what other communities people you’re engaging with are a part of. Neat.

Friends Activity: This outlines who has been mentioning your friends. This is incredibly useful if you’re trying to understand who potentially you should be looking to reach as a second or third contact point.

Get More Kred: This is a feature that I’m yet to see any of the influence analysts include within their offering: a solid offline meaure of influence. You can include all those speaker slots you get, your level of education (and therefore connections you might have), memberships to clubs and organisation, charity and sport involvement and how often you travel (the unspoken metric for importance is of course frequent flyer miles…).

There is also a little more analysis on your online profile too and a sample of people to consider following.

Community Kred: This section looks at the sphere of the different communities Kred is analysing, who is influential in them and where you rank (if you rank at all). This again is incredibly helpful if you’re deciphering who you need to try and engage with to raise your profile.

Analyse: “Coming Soon” is filed under this section, I wait with held breath!

How It Works

Each community is relative to itself – this, for me, is key.

Kred have have put together a Rules section, outlining how your score is calculated:

  • Kred Influence is the measure of what others do because of you. Influence increases when others take action because of your content. Your Influence score increases when someone retweets, @replies or follows you.
  • Scores range from 1 to 1,000 with higher scores representing greater influence. The score of the person with the most Influence is set at 1,000 and all others are normalized relative to it. Kred Influence is normalized for the Twitter universe and within communities, which means that someone in every community has a score of 1,000.
  • You receive Influence Points every time others interact with you or your content. 10 Points are assigned for the most common actions like replying to people and retweeting content. You receive more Points if someone with a large following does something for you, like having a message retweeted by someone with more than 10,000 followers.
  • Influence Points are then translated to your Kred Influence Score. Since Kred Influence is normalized on a scale with a maximum score of 1,000, the rate at which Influence Points convert to Kred Influence constantly changes as everyone in the social universe accrues Points. The ‘Points To Score Conversion’ curve also grows steeper as Kred Influence Score grows. The higher your Kred Influence, the more points it takes to move up.
In Summary

Whilst acknowledging that influence is extremely difficult to measure, Kred is offering a different perspective to the other tools that exist.

I must admit I am a fan and I’ve been pretty excited in the build up to it going live – I’ve not been let down, it is very promising indeed and I look forward to the next iteration being rolled out.

New Facebook Insights Brings Better Data to Page Owners

Social data and insights are imperative to understanding how consumers engage with our content. It’s also imperative for understanding how our consumers react to our product when talking to their respective online networks. The more intelligence we have on the consumer, the smarter our communications strategies will be and, even more importantly, the better our products will be for them to consume.

Fewer places offer as much data on the consumer as Facebook. With an astounding global user base topping 800 million, Facebook is a treasure trove of consumer data just waiting to be tapped for insights. The number of tools that have been developed or are currently under development to mine that data (competitive or for our brands) is astounding. It’s not a trend that’s likely to slow anytime soon, so the big winner will be the company that provides quality data and insights in an easy to digest form. Who that is remains to be seen.

Facebook Insights Bulks Up With Data

One of the key players in the Facebook data and insights race is obviously Facebook. They have all of the data already and, in theory, it should be easiest for them to serve it up to users. The new evolution of Facebook Insights, a free data solution offered to administrators of brand pages, is seeking to answer many questions about our target consumers. Being rolled out on December 15th, there are several new components to Facebook Insights that make us think the new platform will be much stronger for users.

Those new features include:

Richer engagement metrics

The current version of Facebookinsights really only dives into likes, comments and interaction rates to give page owners a deeper sense of engagement. The new “people talking about this” metric is inherently more powerful by looking at overall page likes, comments, shares or likes of posts, answers of a question, responses to your event, mentions of your page, tagging your page in a photo, checking in or recommending your page. By including more engagement datapoints, we should have a better understanding of how people interact with and amplify our content.

Total Reach is stronger

The total reach metric is the number of unique people who have seen any content associated with your page, which includes advertising or sponsored stories pointingto your page in the last 7 days. This metric is more useful than looking at just pageviews or impressions alone because it tracks the entire Facebook ecosystem. More on that in a minute. Now, page owners will have a greater sense of the true reach of their page.

Improved per post data

In the current version of Facebook Insights, data is very surface level (likes, comments, interaction rates) on a per post basis. The inclusion of unique reach, engaged users (the number of unique people who have clicked any whereon your post), the number of people talking about the post and virality (the number of unique people who have created a story from your post as a percentage of the number of unique people who’ve seen it) is great for page owners looking to achieve more clarity on what types of posts perform best.

Better click data

In addition to now receiving link clicks per post (what was provided before was a rolled up clicks figure), we cannow learn what else people are clicking on in a post. The new Facebook Insights will let page owners track the number of times a user clicks on people’s names in comments, clicks on the like count, clicks on the time stamp, etc…

Measuring Branded Content: Opening the Lens

Overall, one of the biggest takeaways is that Facebook is now going to be offering improved understanding of the performance of branded content in the entire Facebook ecosystem. One of the biggest issues with the current version of Facebook Insights is that the data is collected through a very narrow lens — by that we mean what is happening on the page almost exclusively. These new metrics, like total reach, which includes ads and sponsored stories, attempt to give page owners a better sense for how far messaging travels outside of “their four walls.”

If you have had a chance to experiment with the new Insights platform, what do you think? Is the data better?

Image credit: Spencer E Holtway

Irish Facebook Statistics

Like most other markets in Europe, Facebook dominates the Irish online landscape and has gone from strength to strength in recent years. We recently created an infographic to highlight some of the key trends and to illustrate the success of brands in connecting with audiences. Bebo used to be the dominant social media player, but in a short space of time they were quickly usurped by Facebook. In two years, Facebook user-base has spiked from just over 130,000 in October 2007, to over two million last month. That represents 44% of the Irish population. The demographic breakdown illustrates just how much the social network has taken root in Irish society. There are approximately 590,000 users aged over 35 that use Facebook, which just goes to show that you are as likely to be connected with your best friend as you are with one of your parents. It is also no surprise to note that the user-base density in terms of location corresponds with where most of the population resides and where broadband penetration is strongest.

Marketers have realized the opportunity that exists for brands and are investing in developing communities on Facebook. It is also quite common now to see above the line advertising incorporate a brand’s Facebook presence rather than their official website. There is strong cut-through by alcohol brands in the top ten most popular Irish Facebook pages, but it also good to see brands with a strong cultural relevance such as Penney’s, a local Irish clothing retailer, perform strongly in terms of popularity. Organizations like Tourism Ireland can also be proud of the number of people they have attracted to their page, as the tourism sector is a key industry the Irish Government has identified to boost the Irish economy. The organization has invested heavily in terms of promoting the country online and they are now gaining traction with potential tourists.

 

 

While the growth of Facebook will inevitably slow in Ireland, we are likely to see brands continue to ramp up their activity on the social network as we witness a continued shift to through the line campaigns where digital sits at the heart of a 24/7 conversation with consumers.


Image credit: eston

Blog Trees, Influence & Impact: An Interview With Eloqua’s Joe Chernov

I recently had an opportunity to catch up with Joe Chernov—Joe is the VP of Content Marketing for Eloqua, Co-chair of WOMMA member ethics panel and also the brain behind the “Blog Tree” series of infographics. Joe and I discussed the relevancy of blogs, influence, and today’s most significant business challenges for marketers.

David Armano: Tell us more about the “Blog Tree”: Who came up with the idea and in a world of Facebooking, Tweeting, why is a blog tree relevant?

Joe Chernov: I laugh when I think of this story. I came up with the concept – this sorta feel-good, tranquil visualization – while boxing. I literally dropped my gloves, grabbed my phone and called Leslie Bradshaw (my partner at data visualization firm JESS3). At the end of my rant, I half expected her to no longer be on the other end of the line. But she loved it. Leslie is a heady person, totally high concept. So she went with it, adding to the idea, changing it. She even suggested gnomes. But fortunately we drew the line at forest creatures. Anyway, a “blog tree” is relevant now because the jig is up on “best of” lists. Everyone knows that a “top blogs” list is a SEO trick masquerading as value. It’s self-serving aggregation. The Blog Tree is curation. It’s a visual exploration of what content matters and why.

DA: You decided to use Edelman’s BlogLevel to rank blogs listed on the tree. What drove your decision and more importantly what do you think are the indicators of successful blog?

JC: We went with BlogLevel for several reasons. To me, the Edelman brand is synonymous with “trust” and I think that a valuable blog is one that earns the readers’ trust. Take someone like April Dunford (Rocketwatch blog). She may not have the traffic of a top 20 blog, but I trust her perspective as much as I trust, say, The Economist magazine. That has to count for something. It’s also worth noting that today’s Blog Tree is our “new growth” edition, meaning it’s only blogs that are less than two years old, so raw traffic is a poor proxy for success for these blogs. BlogLevel looks at much more than traffic. It gives a holistic perspective on a blog – influence, trust, engagement.

 

 

DA: Eloqua’s focus seems to be on scale, measurement and automation of marketing. Let’s take one of the three and dig deeper—how should marketers be measuring success these days?

JC: Ultimately it comes down to revenue. To what extent are your marketing efforts generating revenue, shortening sales cycles, or reducing attrition? Historically, marketers have been great at treating symptoms. The client is introducing a new product? We prescribe a massive PR launch, point-of-sale collateral, some influential endorsements, etc. Eloqua is focused on helping companies diagnose which efforts contributed to what amount of revenue. I think where Eloqua’s goals and the industry’s goals are tightly aligned.

DA: Marketers are more challenged than ever in capturing and holding the attention of the people they wish to reach and take action. Given your position on WOMMA’s ethics panel, what are some of the best practices when it comes to ethical practices, which yield results?

JC: First off, I get it. I am a marketer too. I know how incredibly hard it is to “get heard” on the noisy social Web. But attempting to short-circuit the system by obfuscating identity, creating fake profiles – or inducing others to do these things on your behalf – ultimately never works. And the irony is that these tricks, even if they were to work, are unnecessary. The real power of the social Web lies in transparency. It’s why the Edelman brand identity is so powerful and timely right now: credibility on the social Web comes down to trust. It’s the single most important attribute you can earn. I’d say that the best practice is to ask yourself before any marketing program: If all aspects of this campaign were made public, would my audience trust me more or less? If you even have to pause before answering, then I’d revisit the plan.

DA: Back to the “blog tree”: this year’s graphic surfaces some new voices compared to last. What is your prediction for blogging in the next year? Can we expect another tree?

JC: I was talking to my brother about how the first half of super hero movies is always more interesting than the second half. He said something interesting. He said, “Becoming is always more interesting than became.” That’s exactly why I think the New Growth edition is more interesting than the original Blog Tree. C’mon, most people already know you, Fred Wilson, Valeria Maltoni, and Brian Solis. To help people discover Caterina Fake’s personal blog or the incredible data visualizations on Information is Beautiful or the blog/community built around Stanford professor Jennifer Aaker’s book “The Dragonfly Effect”… well, that’s value of a higher order. We’ll keep The Blog Tree series going for as long as the public finds the infographics valuable. We have a few ideas already.

 

Thanks for your time Joe. Eloqua’s new “blog tree” can be found here and you can find Joe’s own blog here.

Buffer App Increases Engagement on Twitter

I recently started using Buffer to help manage my tweets. A lot of times, I go in these really weird spurts where I don’t tweet for 8 hours and then flood everyone’s stream with a multitude of content in the span of about an hour. You can blame it on A-D-D but certainly Buffer has helped me with this issue.

Buffer works with an algorithm based on research for Twitter peak times. It then picks 4 default times, well spaced out during peak hours between 8am and 8pm and suggests times to share content. Users can change their settings at any time. Dan Zarrella, Chief Scientist at Hubspot did a complimentary research in this field and came up with very similar results.

Now, let me make something very clear here. Every tweet that I add to Buffer, I write myself. The only automation that happens is when my Tweet is actually posted. What I love about this app is the Firefox and Chrome extensions. It really helps when I come across a piece of really good content, I can click the Buffer button on my browser tool and add it directly. This is good for me since I tend to browse the intrawebs very late at night.

The smart dudes at Buffer sent me some stats based on a study they did with their current customer base. Here are some of their findings.

  • Buffer users increased clicks on links they posted by 200% within 2 weeks of using
  • The amount of retweets doubles on average
  • Buffer users increase their follower count by 104 followers within 3 weeks on average

Of course, take this data with a grain of salt.

How you tried Buffer or other Twitter dayparting techniques to increase engagement?

 

Image credit: Matt Hamm

How to Measure Social Media PR

Originally posted on Technobabble 2.0.

TweetLevel and BlogLevel are two purpose-built tools for the PR industry that aim to be a GPS for navigating influence. At its heart is an open and transparent algorithm that seeks to measure who is important within each social media channel.

Resting behind the methodology are several key insights:

Influence without context is irrelevant

Understanding measurement is more than simply putting a name into an algorithm. It’s a process. If you are looking at influence, then go for Justin Bieber – however, if you are looking to get the right people to speak about you and engage on your behalf then understanding context is critical. The first step in TweetLevel that we always recommend anyone follows is context. Using Boolean logic, anyone can enter a search term to identify who are currently the most influential people about a certain subject. Only when you have identified who these people are can you source relevant measurement metrics. The process that it follows is:

  1. Which people have the largest share of voice about a specific search topic.
  2. Ranking the top 100 people by their SOV, we then import these names into TweetLevel to identify their influence score.
  3. We recommend that brands should focus on people with a score between 65 and 85. Above that score people are significant but are in the realms of the Today Show and PR pros must question how likely is it that their message will want to be heard by this target.

Much as we would like to engage with every relevant person, the sad truth is that most people do not have the time or resources to do so. We therefore need to prioritize which people to focus on. This process explains how to find them.

Popularity does not equal influence

The above statement is bold and almost 100% true. I am not naive that if you are popular then by default you are more likely to be influential. However, this is just one factor that can measure how important someone is. The numbers of followers someone has is interesting to me but not as key as how somebody engages in relevant conversations or create ideas that then resonate through the social web.

Engagement is not the same as activity

People have long understood the difference between broadcasting and engaging. As communication channels become more dynamic and interactive, true influence is derived by having two-way dialogues, asking questions and by posting interesting and informative content.

This is the time of the new influential – idea starters and amplifiers are both influential in their own way

If you compare the lists of top tweeters from TweetLevel with other tools on the market, there will be a marked difference in that in our lists you will see some people with comparatively few followers and yet with a higher influence score than their peers who may be extremely popular. The reason for this is that TweetLevel identifies which people create ideas which are then amplified. This isn’t to say that both types of people aren’t important but more that they are both key targets and should be engaged with.

We are at a tipping point where sociology and technology can assist us in engagement

Continuing the argument above, we are at a wonderful position whereby sociology and technology are merging to assist us in understanding how to engage with different audiences in the most appropriate manner. TweetLevel can identify what type of person an individual is by their online behavior. We call this the “Topology of Influence.

We believe that influence is derived by how information flows between different people. Backed-up by the Web Science team at the University of Southampton, influential people can be: idea starters, amplifiers, curators, commentators or viewers.

People within these different categories all portray behavioral attributes that when complemented are more likely to promote the spread of a message. For example with Idea Starters I would engage in a deep structured discussion and with amplifiers I would understand their need to satisfy their readership and provide them with pre-packaged information that they can easily re-purpose.

TweetLevel measures influence and more…

Understanding which people engage with is just half the story. Nothing irks me more than hearing someone has emailed their boss saying that “so-and-so has just retweeted us and they have 30 thousand followers.” Big Deal.

What is more important is ‘has there been a significant change in the amount of conversation that you have catalyzed’ and ‘defining whether people are talking and sharing the points you want them to’. These are key measurement metrics which Tweet and BlogLevel also measures.

However, I would always counsel having a consistent measurement approach:

  • At the beginning of a campaign: to set a benchmark and ensure your message is relevant
  • During the campaign: are there peaks at the right time? Do we need to course correct, issues hijack or amend our message?
  • At the end of the campaign: how have we done? Have the right people engaged? Has the right message been echoed and spread?
What the tools can and can’t do

TweetLevel and BlogLevel are tools that help PR pros take what would be either an expensive or time-consuming process into a free (these sites don’t charge) and quick job (reduces the analysis time from days to minutes). However, they don’t fully automate the identification or measurement role – this is intentionally done as a human mind always needs to validate and sanity check the results.

There are of course other excellent tools in the market. However, TweetLevel and BlogLevel are not trying to compete with them. These are purposefully built to mirror the way we work so we do not need to retrofit our work to complement their tools. These aren’t games or perks but simply a way that we can do our job better.

Of course, there are some added extras that go beyond measurement – for example identifying what individuals most frequently discuss, who they influence, who influences them and other people who talk about similar subjects.

I like to say that these tools are in continuous beta. As new developments arise or demand for specific features are required, we will update the tools accordingly.

What’s next?

To answer this simple question I would like to refer you to a simple quote that Jeremiah Owyang once said to me:

“If you want to influence me, be in a conversation with me – wherever that conversation takes place.”

I will be discussing both TweetLevel and BlogLevel at the forthcoming #measurePR chat on 30 August at 12-1 pm ET. I hope you can participate and join the debate. @jenzings will be hosting and my thanks to @shonali for organizing.

Image credit: wwarby

Looking Beyond the Like: How to Measure Your Performance on Facebook

Originally posted on Analytics is King.

Yesterday, I took a look at the potential metrics you could be using to measure your performance on Twitter. Thus far, the response has been rather interesting. I think I expected someone to come here and challenge my assumptions on what metrics matter most. That hasn’t happened. In fact, most of the responses so far are coming from folks who want to focus more on the content. Tracking the number of @ replies, and engagements and the raw mentions of the brand. All of those things are fine, but you should know they present some serious challenges, including:

  • Content fluidity – Ever watch your “all friends” column on TweetDeck (or whatever third party app you are using)? See how quickly that column is moving? Analyzing content on Twitter is important, but it’s akin to watching cars on a busy highway. Just because you saw it posted, doesn’t mean a lot of others did. Take your results with a grain of salt.
  • Sentiment scoring is problematic – I mentioned this yesterday, but scoring tweets is incredibly hard. Nuanced language. Limited characters. Much of the content being repurposed news. You see the point. Manual scoring is better, obviously, but the sheer volume of tweets makes that difficult.
  • Looking at raw @ replies doesn’t tell you much – Sure, you want people talking to you on Twitter. Sure, you want to be talking to others on Twitter. However, looking at the raw number of @ replies doesn’t tell you much. You should be more concerned with the behavior that follows an @ reply. Does the person talk about your brand more/less often? Do they tell their friends something positive about the experience? If you want to look at @ replies, you also need to be looking at the other behaviors as well.

Either way, these metrics and approaches can be debated. As I mentioned in the post yesterday, metrics and approaches will vary from company-to-company. Those were the metrics I thought made the most sense, but you could easily disagree. But, Twitter isn’t the only social channel. What about Facebook? Ahhhhh, Facebook…

Have you ever taken a look at the export from Facebook Insights? It’s a pretty substantial list of metrics. In fact, you can get lost in that spreadsheet for days (well, at least I can)! So what would I look at if I’m measuring my progress on Facebook? This discussion can actually be split into two parts, I think: Platform and content

First, the platform:

  • Comments
  • Likes
  • Total interactions (I’d say look at either the first two or combine them into total interactions)
  • Clicks (or CTR)
  • Shares
  • Impressions
  • Pageviews
  • Overall likes
  • Per post metrics (impressions, comments, likes, shares)
  • Sentiment of comments

Second, the content:

This becomes a little more science than anything else. First of all, you need to be sure you are capturing all of your posts in some kind of spreadsheet. Capture the post verbatim, the day/time it was posted and the message “bucket” it might fall into. Then, figure out which post metrics you care most about. In most instances, we’re talking about comments, likes, clicks, shares and impressions. Then, after capturing all of that data you’ll want to create an index score from 0-100 for the posts. See my post for PR Breakfast Club on how to do this. You’ll create a ranked list of your posts from 0-100. What constitutes a good post on that scale? I don’t know, that’s up to you and your client/boss. But, taking this approach will allow you to really hone in on what content is performing the best across a serious of metrics.

This sounds incredibly labor intensive and time consuming, but trust me, it isn’t. As soon as you’ve created the structure, it becomes a matter of populating a spreadsheet everyday. Surely, you have someone who can do that, right?

What do you think? How are you measuring Facebook today?

 

Image credit: wynnie

Looking Beyond Followers: How to Measure Your Performance on Twitter

Originally posted on Analytics is King.

We’re always (hopefully) interested in how our social channels are performing versus last week, month, year or even versus competitors. To that end, marketers of all stripes often wonder what the best metrics are when evaluating the performance of a particular platform. Depending on the platform in question, the selection process can be daunting. Take a look at a Facebook Insights export sometime and follow the Excel spreadsheet across and you’ll see quite a few possibilities.

Yesterday, I received such a question from a very good friend of mine as it relates to Twitter. Now, my typical (maybe snarky) response to these kinds of questions is asking why that wasn’t settled weeks/months ago when the page was launched, but we’re talking about a friend here so I obliged. While I’m here, though, remember the process of identifying metrics? Setting goals, conducting benchmark research, developing strategy/tactics, implementing your program and then measuring. Go through that process and you’ll save yourself some headaches at the end.

Anyway, her question prompted a thought… If I had to rank which metrics I think are the most important for Twitter, how would I rank them? Again, go with me here… How important these metrics are will vary from company-to-company, but I think the discussion is a worthwhile one to be having. First step in this process is writing down all of the available metrics you can think of for Twitter… I’ll give you a second to do that…Ready? What did you come up with? I came up with:

  • Clicks
  • Clicks/post
  • Retweets
  • Retweets per post
  • Tweet reach
  • Retweet reach
  • Average reach per tweet
  • Percentage of posts that are @ replies
  • Number of lists
  • Followers
  • Sentiment?

A few things on this list…

  • Clicks, and clicks per post are probably the two most important metrics in my opinion. Why? They can be easily tracked to a specific end result that the brand cares about (landing on their website and buying something, for example).
  • Notice how far followers is on the list? Yeah, moving on. That should be obvious. Looking at followers alone doesn’t tell me anything.
  • I have a question mark next to sentiment. After posing this question on Twitter, both Justin Goldsborough and Jason Keith raised the point of tracking sentiment on Twitter. My only issue with it is that tracking sentiment on Twitter is problematic at best. Limited characters, nuanced conversation tone make it very difficult to nail down. If you’re using a sophisticated text analytics platform, I’ll jump on board. Otherwise, I’d be nervous…

If you’re managing a Twitter presence, what metrics are you using? What have you found has worked with your client or boss?

 

Image credit: stv

TweetLevel and BlogLevel: A GPS for Navigating Influence

Originally posted on Technobabble 2.0.

Today, we’re excited to share with you two of Edelman’s latest innovations: BlogLevel, and the “2.0 version” of TweetLevel, originally launched in 2009. Both tools are designed to identify who is influential on a particular topic, in any language, on a designated platform. TweetLevel finds the influentials on Twitter, and BlogLevel does the same in the blogosphere.

www.tweetlevel.comwww.bloglevel.com

How They Work

Using a specially developed algorithm, TweetLevel and BlogLevel track bloggers and tweeters in any language and in any country, and score them according to their influence, using 40 distinct metrics. People who rank highest are those who create unique ideas that are then amplified, and those who engage with their followers by providing informative and relevant content.

How These Can Be Used

Everyone now has access to these tools to gain real-time intelligence and plan and measure campaigns on your behalf. As the graphics on the left illustrate, we’re able to find the influentials on specific topics, and measure:

  • Buzz around topic
  • Who’s relevant and influential on that topic
  • Within the context of the topic, what else are people talking about
  • Within the context of the topic, which web links are most frequently shared
  • For any given tweeter or blogger, understand what they talk about, who influences them, who they influence and who else is talking about related subjects

How These Tools Are Different, And Why They Matter

A recent New York Times article referenced “the democratization of influence,” a paradigm shift we’ve been studying for some time. This is rich territory for marketers and communicators.

Most of the current tools for measuring influence focus exclusively on Twitter and Facebook profiles and ignore other online activities like blogging. With BlogLevel and TweetLevel, we can consider influence more holistically. For example, it’s clear that blogs are more influential when their content is search-optimized and discussed in social media channels like Twitter, so those are metrics we’ve built into BlogLevel.

BlogLevel and TweetLevel, and the underlying algorithm, differ from existing tools in a few other ways:

  • Distinct metrics for “idea starters” vs. “amplifiers”: BlogLevel and TweetLevel distinguish between people who are “idea starters”– the people who originate ideas or are first to surface news – and the “amplifiers”’ who spread other peoples’ ideas. Both are influential, but BlogLevel and TweetLevel recognize and emphasize their influence differently.
  • More engagement = better rankings: TweetLevel gives higher rankings on people who engage in conversation vs. simply post their views. TweetLevel analyzes every tweet to help us match brands and issues with the right people, increasing the efficiency and relevance of our influencer outreach and engagement efforts on your behalf.

Although we developed BlogLevel and TweetLevel primarily for our own use, we’re making both tools and the algorithm publicly available so that other communicators can contribute to the tools’ usage and evolution.

As always, we’re grateful to you who support and inspire Edelman innovation. We welcome your comments and questions.

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