Posts Tagged ‘MAP’

4 Ways Social Intelligence Can Help You Retain Customers

Experts say a customer retained is 2-3 times more valuable than a newly acquired one. Whether you sell a product or service, keeping your customers happy post-purchase is a huge and important task.

With the advent of social media and Internet savvy, socially active consumers, there’s a huge opportunity to strengthen your customer retention strategies.

Let’s stop here though. If you’re looking for a blog post focused on how to monitor and track what’s being said about your brand or product online, you can find these in other helpful Sysomos blog articles. :)

Today we’re going to talk about social intelligence, which is defined as the step beyond listening and reacting to Tweets, Instagram posts and the like. In an earlier post, Amber succinctly defined social intelligence as:

But in the case of “social intelligence”, we really are referring to the next generation of how social data informs your enterprise far beyond “brand watching”, listening or monitoring.

So, how do we take this concept and apply it to customer retention? In my opinion, customer retention is synonymous with customer care and customer satisfaction. A socially intelligent organization is one that has taken steps be able to act in a timely fashion on customer feedback and ensure that in all steps of a customer’s journey that they feel loved and adored.

Use your social fanbase as your most valued focus group

Thinking of a new product or feature idea? Is your company trying to decide amongst two or three features and you want to check in with your community?

I am an Engineer

The beautiful thing about social-powered focus groups is that they can be impromptu, fast-flowing and even fun!

When structuring your focus group, be sure to ask specific questions that will inform your business processes. As a team, decide what aspects of the decision you’re willing to crowd-source and be specific with the asks.

Also, think about how you’re going to collect opinions. Will you use a hashtag and manually collect responses or would you rather use a tool such as PollDaddy?

To honor the time investment given by your community, be sure to report back after the poll on how your team will make use of and act on the data.  Most of all, thank them!

Go beyond listening and build a team capable of taking action

Any brand can hire a community manager or agency to respond on Twitter to praise, complaints and feedback. However, it’s the socially intelligent organizations that build teams composed of people empowered to take action.

When a crisis hits, responsive action is the name of the game. So, in addition to monitoring and responding to complaints, your brand should construct a small group of rapid responders from marketing, fulfillment, customer service, legal and an executive sponsor to help push actions through.

Team With Medals

Also, on a regular basis, the community team should be sending regular reports to stakeholders in your organization about feedback gathered from the online community. These include metrics such as inbound mentions, top complaints, and praises and individuals that were specifically mentioned on social media.

Remember, it’s the small things that count most

Socially intelligent companies are online not only to push a marketing message and inform the public about products, but also to make sure customers are being listened to and respected. As a result, any community manager or department should have a good system in place for keeping tabs on top clients and most vocal advocates.

In my former position as an influence marketer at Republic Publishing for Nokia (now Microsoft), I used social intelligence to make sure our influencers were remembered during life’s milestones in a personal way. Despite having an influencer population of 400 people, we worked hard to recognize and reward our brand advocates and influencers.

Whenever a milestone was mentioned such as an anniversary, child’s graduation or similar event, we recorded the upcoming milestone in a shared notebook. By using surprise gifts such as a bouquet of flowers or a Starbucks gift card on Father’s day, we made efforts to ensure each of our brand influencers felt valued.

In your organization, you might take action by congratulating a subscriber on their 1-year anniversary of using your service or by sending them some company swag when they report being a repeat customer. Evaluate your online audience and construct a plan to delight and honor your fanbase.

Predict what your customer wants next

Every day, social data exposes customer’s opinions – good and bad. Here at Sysomos, we ingest multiple petabytes of data every day.

So, after monitoring and collecting data of what your social community is saying, the socially intelligent company will then move to an analysis and predictive phase by analyzing the conversations.

For example, say an electronics company releases a blockbuster toy. After 3-4 weeks of monitoring social conversation, a pattern appears of numerous complaints about battery life. The next step would be for that company to take this feedback to the engineering group to push for a larger battery to be potentially included in the next version of the electronic gadget.

Furthermore, moving along the social intelligence continuum, social data can be used to predict what your customers are looking for next. How do we build actionable information from social data? One technique is to look at mentions of your brands and products and discover what words are being said in relation to your proprietary terms. An integrated digital marketing organization can use search data from Google to help extrapolate this.

On the social data side, we can use Buzzgraph from Sysomos MAP to do the trick. For example, say you are a small-town microbrewery that just expanded your brewing capacity and you’re wondering what beer you should brew next.

By analyzing your brewery’s name in a Buzzgraph, you can surface social posts and unearth questions such as “Does Vagabond brewing make an Irish stout?” If you see this pattern over and over again, perhaps stout should be the next beer on Vagabond’s available sign. J

Sysomos MAP - Buzzgraph around community management

Wrapping up

As you can see, there are many ways social intelligence can be applied to customer retention.  What’s your favorite way of ensuring your customers are forever fans?

(Photo credit: orinrobertjohn and thejesse)

How social intelligence benefits Human Resources

It’s a common misnomer that social media is solely a function of their company’s marketing or communications department. While marketing is likely the group that holds the keys to a company’s social media accounts, to think that they’re the only ones who could benefit from social intelligence would be a mistake.

Here at Sysomos we truly believe that any part of a company can benefit from social intelligence, especially if you know exactly what you’re looking for.

So, how do departments across your organization see the benefits of listening and learning from the social media space? We’re going to explore this in a series of posts.

Today we’re going to start with your HR department.

Finding the right talentFinding the right talent

Finding candidates to fill roles in your company can sometimes be challenging and time-consuming, but it doesn’t always have to be that way when the right people are under your nose… if you know how to find them.

Social intelligence can help you narrow down your field of candidates. Start by thinking about what someone who would fit the role would be talking about in social media.

For example, if the open position that you’re looking to fill is that of a community manager, you may want to look for people who are talking about community management in social. Make a list of community management related words and phrases and start searching for the people talking the most about it.

Sysomos MAP - Buzzgraph around community management

Even if remote working isn’t right for your company right now, social intelligence can also help you find local candidates. All you would need to do is narrow your search for these people to a specific region. Our Sysomos software will let you monitor for people all the way down to a city level, making finding a local candidate even easier to find through social media.

Use Authority Score to find the cream of the crop

Next, they can narrow down those people that talk about community management to find people with a high authority score on the subject. However, the highest ranking authorities on the subject may have that score because they already have a job they love doing that. That’s not a reason to not pursue them as a hire, but it may make them a bit harder to recruit. But you don’t always have to go after the people with the highest authority score, you can also search for those with a medium level score. This means that they probably know what they’re talking about and that people listen to what they have to say, but their role may not be the most visible and they may be open to learning about new opportunities to further their career.

An authority score allows you to see a person’s influence on a specific social channel. People with a higher authority score are usually more engaged on that channel and are also more likely to be engaged by others. You can run a search on a subject, such as our community management example, and then look for the people with the highest authority score on the subject to flush out great candidates. Not only can you view your candidates authority score, but it might also be interesting to also take a look at what the authority score of their followers is. Are they already being listened to by people with authority? That may make them more intriguing.

Sysomos MAP - Follower Authority Breakdown

Once you’ve narrowed down a few good candidates, social intelligence can help you to further narrow down that list. Listening to the people on your list for what they talk about through social media and even how they talk can be a great indicator for if that person would seem like a good culture fit within your organization.

In just a few easy steps your HR department can utilize social intelligence to help find great candidates for your organization without having to wade through giant piles of resumes.

Keep watching our blog as we update this series with ways that other departments in your company can utilize social intelligence to do better work and make their jobs easier.

Would you like to know more about how to get the right social intelligence to the right people in your organization? Contact us and we can help.

Game of Thrones Makes A Social Splash, But Not As Big As The Walking Dead

Game Of ThronesOn Sunday night TV viewers were thrilled as Game Of Thrones made its triumphant return with its season 5 debut. HBO’s Game Of Thrones is one of the most popular shows on television in recent years, and its popularity was trumpeted through social media by fans and brands.

We got curious about just how much of an impact Game Of Thrones had on the social media world, so we decided to investigate for ourselves using MAP, our social media intelligence research and analytics software.

Looking for mentions of Game Of Thrones and associated hashtags (such as #GameOfThrones#GoT#GoTseason5 and a few others) across social media channels and found that the show garnered over 898,000 mentions on Sunday alone. Mentions of the show appeared in 1,646 blogs, 4,283 online news articles, 7,312 forum postings and 885,733 tweets on Sunday alone.

Sysomos MAP - Game Of Thrones Activity Summary

With Twitter being the most active channel that people were using to talk about Game Of Thrones, we dug a little deeper to find that the show was being mentioned in 36,906 tweet per hour over the course of the day. The bulk of those, of course, came right before the show as people were getting excited about it and during the actual broadcast.

Sysomos MAP - Game Of Thrones Twitter Activity Summary

We also noticed that people around the world were tweeting their excitement for the shows return. As you can see in the Twitter activity above, the majority of the Game Of Thrones talk was coming from the United States, but countries from around the globe seemed to be talking about it, like Brazil, the United Kingdom, Canada, Argentina, Mexico and France. Below is a heat map that shows just how wide spread talk of the show’s return spread across the world.

Sysomos MAP - Geo Location Heat Map of Game Of Thrones Mentions on Twitter

 

But it wasn’t just the fans who were showing their excitement for the show’s return publicly. Brands were trying to get in on the action as well. Using our search for the most retweeted tweets mentioning Game Of Thrones we came across a few brands trying to capitalize on the show’s popularity. Such as the NFL, who had the most retweeted Game Of Thrones tweet from a brand, with this one about the actor who plays Gregor Clegane, Hafþór Júlíus Björnsson, who apparently almost signed to play with the Indianapolis Colts:

But other brands were also trying to generate impressions using Game Of Thrones, like Stolichnaya Vodka:

Chili’s Bar and Grill:

Arby’s:

And even the World Of Warcraft videogame:

 

To be fair, not all the talk was necessarily waiting for the show’s actual debut. Over the weekend the first 4 episodes of Game Of Thrones’ fifth season somehow got leaked online. Apparently some fans just couldn’t wait until Sunday night to see the show as talk of the leaked episodes started late on Saturday night and carried over into Sunday as more and more people became aware. This likely isn’t a big surprise as Game Of Thrones was noted as being the most pirated TV show of 2014. However, when we looked for mentions of the leak along side Game Of Thrones over the course of the entire weekend, we found that it didn’t make as much of an impact on the overall talk as one may have thought, only garnering 74,615 mentions across social channels.

Sysomos MAP - Activity Summary of Game Of Thrones Leak Mentions

But was this actually a good performance in terms of season debut? This is something else we wondered, so we decided to compare Game Of Thrones mentions on its season debut day to a few other recent popular television debuts. We pitted it against the season premieres of The Walking Dead, The Americans and Mad Men. What we found was that Game Of Thrones had a fairly good showing for social media activity on its season debut day beating out The Americans and Mad Men on theirs, but it fell about half of a million mentions short of The Walking Dead on its season debut.

Sysomos MAP - Comparison Activity Summary

Interestingly though, when we broke down the social channels to see where conversations around each of these shows was coming from we found that Game Of Thrones was talked about more across blogs, online news sites and forums, but the fans of The Walking Dead blew Game Of Thrones out of the water in terms of tweets.

Sysomos MAP - Comparison by Source

And while we comparing things, we also thought it would be interesting to see how Game Of Thrones season 5 premiers did compared to season 4, which debuted on April 6, 2014. In 2014, the show’s premiere saw 699,489 mentions across social channels. That means that this year they upped their numbers by 200,000, which is quite impressive and just shows how the popularity for the show is still growing.

Sysomos MAP - Game Of Thrones 2014 Premier Activity Summary

Did you watch Game Of Thrones on Sunday? More importantly, did you tweet about it?

How I turned March Madness into Sysomos #MAPMadness

As a Social Media Specialist on the Agency team here at Sysomos, I have spent A LOT of time utilizing our software for many different verticals and unique use cases. As an avid sports fan, I have spent A LOT of time following many different professional and amateur sports leagues and events.

As any avid sports fan knows, the NCAA basketball tournament known as March Madness is a huge event. It is also a very popular topic within social media. The overall mentions of “March Madness” dating from the beginning of the year until March 18th (the day before the madness begins) is shown below.

Sysomos MAP - March Madness Social Media Activity Summary Pre-Tournament

This is a ton of conversations!

So when it came time to enter our Sysomos March Madness pool and build my bracket, it only felt natural to combine this incredible pool of data with my direct problem of selecting the winning bracket.

So that’s exactly what I did…

Using the Compare tool in our Sysomos MAP platform I selected my entire bracket based on share of voice.

By running simple queries such as “Wisconsin Badgers” AND basketball vs. “Duke Blue Devils” AND basketball, I made my picks from each of the 64 matchups by selecting whichever team received more Share of Voice with regards to mentions in the social sphere.

Sysomos MAP - Share of Voice Comparison

I had some concerns around the software selecting only the favourites in each matchup but after some review I noticed that the results pulled from MAP had selected the underdog in 11 different matchups; most notably predicting that the Michigan State Spartans would make it to the final eight.

Looking at the “Popular Picks Bracket” on Yahoo (my fantasy sports host site of choice) the Michigan State Spartans were not, on average, selected past the Round of 32.

My finalized bracket can be seen below.

Pre-Tournament Bracket Picks Based on Sysomos MAP Data

Upon tournament completion my bracket (shown below), selected entirely by our MAP platform, finished with 45 correct picks out of a possible 63 to output a 71% Winning Pick Percentage (WPP).

To be fair, this was slightly under Yahoo’s average of 47 correct picks delivering a 76% WPP and further still from Yahoo’s top finisher, who selected 54 correct picks with a WPP of 86%.

This was however, enough correct picks to win the Sysomos pool and have a year’s worth of bragging rights over my colleagues.

Post Tournament Bracket Results

For a round by round breakdown feel free to follow me on Twitter (@TylerWatson9293).

Now this is a very “outside of the box” use case for our platform but an excellent example of the many creative ways our software can be used to achieve success. Through creative Boolean strings and a broad knowledge of the different features within MAP and Heartbeat the sky is essentially the limit to the different insights we can extract from Sysomos’s extensive database of social content.

For any and all Fantasy Sports inquiries please feel free to e-mail me directly (twatson@sysomos.com). I have a Heartbeat built specifically for capturing mentions of Fantasy Football, Hockey, and Baseball and avidly use it for advice on starting line-ups, waiver pick-ups, and potential sleepers.

For information on other use cases and creative methods of using our software please feel free to contact us or reach out to your dedicated Social Media Specialist.

Change Your Listening Strategy To Listen For Real Insights

Listen in social media to answers for your questionsBy now, social media monitoring is table stakes for just about any company. Many companies know that people are out there talking about their brand across any multiple of social networks. They’re saying what they like about your brand, what they don’t like, what they’re doing with your products, asking questions and much more.

Monitoring for your company or brand is great and allows you to be reactive around what the social world is talking about in terms of your brand. But what can you do if you want to answer questions about your business beyond “what are people saying about us?”

Last week, Amber wrote a great post outlining what true social intelligence is. Social intelligence goes beyond just monitoring for your brand (but you should keep doing this as well) to help you really understand your audience and make accurate predictions to what they need in the future, both in terms of content you provide and what they want from your products or services or how to make them better.

So, the big question then becomes, how do you monitor differently to get true social intelligence out of the social data that you’re collecting?

The trick to doing this is to not go in to social monitoring thinking that if we listen to everything the answers will just show themselves. Instead, what you need to be doing is going in to your monitoring strategy with specific questions in mind already and then base how you’re listening on finding the answers to those questions.

For example, let’s say that you’re a large coffee chain and you want to know how you can make your customer’s experience with your employees even better. Listening for just your chain’s name will likely give you some conversations around your customers’ experience, but it will be mixed in with every other conversation about your brand. Instead, try setting up your social media monitoring to look for specific cues from your customers about their experience with your staff. Using a monitoring software like Sysomos that allows your to narrow your search down using complex searches and organizing tags will make this much easier.

If you’re setting up your monitoring to know how your customers’ experience is, you’ll want to monitor for mentions of your brand name and customer experience related words. Searches like Starbucks AND (barista OR employee OR “behind the counter”) will help you to narrow down on the conversations just about your staff and your customers. From there, you can look through these posts or use text analytic tools to surface the key things that people are talking about. You can see what people like and don’t like, or what they wish you would do in the future. You can even get more specific to find things to fix by just focusing in on the conversations from this bucket that are negative in sentiment. What are the negative things people are saying about your staff? Now, what can you do to fix those things?

Sysomos MAP - Negative Word Cloud Around Starbucks Employees

But social intelligence can go way beyond just monitoring for your brand. Also think about your products and services in a more general sense. Think about what kind of questions to ask to make your specific products or service better than your competitors.

For this example, let’s say that you’re a smartphone manufacturer and you need your next phone to be a big hit. How do you know what consumers want from their phones? In order to get your answer, think about how your audience in social media would answer that question. You can try monitoring social media with a query like “I wish” AND (phone OR smartphone) to find conversations about what people wish any phone would do. Look for the trends in what people are saying they wish for. You can then take their answers over to your R&D department and say “This is what people want, how can we make this happen?”

Sysomos MAP - Buzzgraph of Smartphone Wishes

These are just two examples for how you can approach social intelligence through monitoring.

The important thing to remember here is to not just jump into social media monitoring so you can only react. Think about what questions you’re interested in answering and then approach your monitoring with queries that will help you find those specific answers.

And if you ever need some help, remember that Sysomos can help you with your monitoring to find the answers to your most important questions. Request a demo today to find out how.

Finding The True Impact Of A Tweet Using Tweet Life

Last week Derek Thompson, a writer for The Atlantic, wrote an article in which he questioned the real value of a tweet. In his article The Unbearable Lightness Of Tweeting, Thompson expressed disappointment because a tweet he was sure was going to get a lot of attention, both on Twitter and with click throughs to the actual article, didn’t draw the engagement he anticipated.

As a journalist Thompson wanted to spread the word about his story and generate traffic to The Atlantic’s website. However, a little less than a week later, in his own words, here’s what he found:

“By Friday morning, it had about 155,260 impressions. According to the new Tweet activity dashboard, 2.9 percent of those users clicked the image, and 1.1 percent retweeted or favored it… but just 1 percent clicked on the link to actually read my story. One percent.”

At first glance, Mr. Thompson is right – a 1% engagement rate is rather low. But, 1,553 clicks isn’t that bad, but it might seem that way when there was the chance for over 155,000 clicks. But does it really mean that there’s no real value to a tweet?

It turns out – you just need to look at the bigger picture. You see, Thompson was using Twitter’s analytics tool and while it’s fantastic at showing a reporting snapshot, a reporting suite such as Sysomos MAP tells a more complete story.

We weren’t the only people that contemplated this question. Our friends over at SKDKnickerbocker thought that there is also a lot more value to a tweet and decided to investigate further into Thompson’s tweet. In the blog post where they did this, they start by pointing out that, “Twitter is a social media platform and the most valuable takeaway, in our view, is the way the message is shared beyond Derek’s 27.8k followers.”

SKDKnickerbocker pulled up Thompson’s tweet to explore its real value using Sysomos MAP‘s Tweet Life function. Tweet Life was able to show that this particular tweet actually seemed to perform quite well. They used Tweet Life to follow the chain of the tweet, meaning how many followers of followers retweeted Thompson’s tweet. In this case the chain went to a level of 10. Looking at this graphic to illustrate the chain, the tweet actually traveled quite far from Thompson’s initial following.

Tweet Life Chain - Created by SKDKnickerbocker

In a report that we did back in 2010 we looked at 1.2 billion tweets and found that the average tweet gets the majority of it’s retweets within the first hour before dying off. Tweet Life can also show you the full life of a tweet. Many studies have shown that tweets barely live on past 10 minutes. In the case of Thompson’s tweet, its half-life was at 10 hours and 13 minutes. That means that his tweet was still going strong over 10 hours later and wasn’t finished yet. The 80% life of this tweet came 2 days and 6 hours after it was tweeted out. This, my friends, is a tweet with legs and a half-life that extended well beyond most twitter activity.

Tweet Life Half-Life - Created by SKDKnickerbocker

There’s many reasons that could explain why Thompson’s tweet didn’t get as many click-throughs to The Atlantic as he had hoped. Perhaps people didn’t find the topic as interesting as he did. It could also be, as Bianca Prade from SKDKnickerbocker told us on the phone, that “sometimes people go to a social network to get their news on the platform that they’re on,” meaning that they could have got enough interesting information for themselves from Thompson’s tweet alone.

Twitter’s analytics dashboard can give you some interesting information about your tweets. But it also only shows you part of the story. This is why many brands and agencies turn to using Sysomos. With tools such as Tweet Life and many others in our software you can get a more complete picture of how well your Twitter and other social media efforts are performing.

If you want a more complete story of how your social is performing, contact us. We’d be more than happy to help you see the full picture.

Who Social Media Thinks Will Take Home Best Picture This Weekend

The 87th Academy AwardsThis Sunday evening millions of people around the world will tune in to watch the 87th Annual Academy Awards, more commonly known as The Oscars.

Movies are a big part of a lot of people’s lives. They love to see good movies, but then they also love to discuss them. And we’ve seen a lot of discussion about this year’s Best Picture nominations happening in social media.

So, we decided to use MAP, our social media monitoring and analytics software, to see if we could predict which film is going to win Best Picture this Sunday based on social media chatter over the past year. Here’s what we found:

While all 8 of the nominated films were discussed quite a bit through social media, Birdman was by far the one that came up the most in social media. In fact, when we look at the share of voice pie chart below we see that Birdman owned a full quarter of the conversation around all 8 movies. American Sniper was a close second and owned 21% of the conversation, while Selma came in third with 20%. Of all 8 movies, The Theory of Everything was talked about the least through social channels, but that doesn’t necessarily make it a worse movie.

Sysomos MAP - Comparison Share of Voice

What’s interesting is that when we broke down the mentions of these movies by networks we found that Selma was actually the most talked about movie through blogs, forums and online news outlets. However, Twitter produced the most chatter around all of these movies and on Twitter Birdman was mentioned the most, which drove it to the top spot overall. Boyhood was a close second in mentions in both blogs and online news (only coming in less than 200 mentions behind Selma on news sites), but was fourth in Twitter mentions.  As well, American Sniper was talked about a lot through Twitter and forums, but not nearly as much in blogs and news.

Sysomos MAP - Comparison by Source

We also looked at mentions of these films in terms of when they were mentioned over the past year. It’s interesting here to note that Birdman seemed to have been generating conversations over the entire year despite the fact that it didn’t get a full theatrical release until the late summer of 2014. Most of the other films that were nominated in this category had releases towards the end of the year, so we didn’t see large spikes in conversations about them until around December and then again in January when the Golden Globes happened.

Sysomos MAP - Compare Popularity Chart

Lastly, we looked at the sentiment around each of the 8 nominations. While each movie was talked about positively, The Grand Budapest hotel had the most positive talk around it with 71%. The next closest film in terms of positive mentions was Boyhood with 52% of it’s mentions being scored positively and Selma coming in third with 48% positive mentions.

Sysomos MAP - Comparison of Sentment

While all of the movies nominated for Best Picture were great in their own right, there can be only one winner of the Oscar. Looking at this data above it’s still hard to tell which one the social world liked the best, but we’re going to make our prediction for a winner to be Selma. Selma was talked about the most across most social media channels and also had a great positive sentiment score.

Which film do you think is going to take home the Oscar this Sunday? And is your choice based on the data above or just your own instinct to pick a great film. Let us know in the comments.

We’ll be back next week with a full report about how the Oscars plays out in social media, so come back to check that out.

A Season Of Social To Predict A Super Bowl Champion

Super Bowl XLIXThis weekend is Super Bowl XLIX. The New England Patriots are squaring off against the Seattle Seahawks to find out which NFL team reigns supreme this year.

As we do with other sports, we thought it would be fun to take a look at the social media buzz around each of the teams using MAP, our social media monitoring and analytics software, over the course of their season. Usually we would look at the buzz around the teams from the start of the season up until today. However, due a little controversy surrounding one of the playoff games from this season (you may have heard of something called “deflategate” going around) we thought that one team would for sure get an unfair advantage in terms of mention volume, while the other team would get one because of the negativity around their opponent. So, for the analysis below we only looked at the regular NFL season which ran between September 4 to December 28, 2014.

We searched for both teams names, nicknames and Twitter handles over the course of the season and found a staggering difference in the amount of social conversations around each team. In terms of overall mentions, the Patriots were in 7,177,831 social conversations over the season. The Seahawks, however, were only part of 4,285,927 social conversations.

Sysomos MAP - Compare Overall Mentions

Even when we broke it down to look at the mentions over individual channels, the Patriots always came out on top. The Seahawks got beat out in mentions across blogs, online news, forums and tweets.

Sysomos MAP - Compare By Source

It becomes more evident when we look at the mentions of both teams plotted out over time. A look at our popularity chart gives a good visualization of just how much more the Patriots were talked about than the Seahawks. Especially on game days, which are all the spikes in conversation you see below.

Sysomos MAP - Comparison Popularity Chart

When we pulled up the sentiment around the two Super Bowl combatants we once again found that the Seahawks had come up short compared to the Patriots. The talk around the Seahawks was only 27% positive while also being 30% negative. In the meantime, the talk around the Patriots was 47% positive and only 19% negative.

Sysomos MAP - Sentiment Comparison

If social media talk could predict a Super Bowl winner, it’s probably safe to say that New England Patriots are guaranteed a win on Sunday. However, fan popularity doesn’t win games, so we’ll just have to wait and see what happens. Who do you think’s going to win?

Just for fun, we also wanted to compare the two teams on Twitter to see how the stats swayed so far in  the Patriots favour since Twitter saw the most action. When we compared the fan bases of the two teams we found something interesting about the loyalty of football fans. The Seahawks have 797,000 followers while the Patriots have 1.1 million and out of all those fans, only 9.7 of them overlap. When people have a team, they only care about what’s going on with that team.

Sysomos MAP - Twitter Follower Comparison

While that’s not a huge revolution, it does also help to explain this next piece of data we found that probably explains how the Patriots got so far ahead.

When we compared where people were tweeting about the Patriots and the Seahawks from, we found that New England has a very spread out fan base, while Seattle’s is more local. Looking at the states where mentions of the teams were coming from, you can see that Seahawk tweets were coming the most from Washington State, which makes sense. But when you look at where mentions of the Patriots were coming from, Massachusetts only makes up some of the tweets, while their “other” bar on the chart is through the roof, meaning that Patriots have fans spread out much more across the US than the Seahawks did.

Sysomos MAP - US States Tweets Comparison

So, in case you missed it above, the Patriots are obviously a more popular team. But again, popularity doesn’t necessarily win Super Bowls…

Giving Tuesday Gets Bigger In 2014

Giving TuesdayOn Tuesday we took a look at some of the social numbers behind the people talking about Black Friday and Cyber Monday this year. But there’s one other important day that has come in to play to help kick off the holiday season in the past few years; Giving Tuesday.

Last year, we wrote about Giving Tuesday on the Marketwired blog, which was only in it’s second year of existence. While 2013 was just the second year that Giving Tuesday existed, it was only the first year we had heard about it. The idea of Giving Tuesday was born from the idea that after Americans have spent a weekend on buying things for themselves and loved ones on Black Friday through Cyber Monday, there should be a day where people can help others, which is also in line with the holiday spirit of giving.

Since last year was only the second year of Giving Tuesday’s existence, we looked at how much spread the idea had got through social media. Well, now that Giving Tuesday has had it’s third year of doing good for others, we thought it would be interesting to use MAP, our social media monitoring and analytics software, to see how it grew in 2014.

In 2013, “Giving Tuesday” or the hashtag “#GivingTuesday” appeared in about 472,000 social conversations across blogs, online news, forums and tweets. This year we saw the number of mentions rise by over 100,000. This year we found Giving Tuesday being talked about in 1,218 blog posts, 7,649 online news articles, 259 forum postings and 570,016 tweets on just December 2nd. Interestingly, most of that jump of 100,000 mentions happened on Twitter as the other three channels we looked at actually dropped.

Sysomos MAP - Activity Summary

Since Twitter was the main driver of conversation this year, we dug a little bit deeper into what happened there. As it turns out, the number of tweets about Giving Tuesday jumped from about 19,000 mentions an hour last year to almost 24,000 mentions an hour this year. Also interesting was that we found who was tweeting about it also changed. Last year women tweeted more about Giving Tuesday than men at 52% to 48%. This year that gap widened though. In 2014 even more women were talking about Giving Tuesday and the gap grew to 54% vs 46%.

Sysomos MAP - Twitter Activity Summary

Last year we also found that 74.7% of the Giving Tuesday tweets came from the United States. This year, that number grew to 75.3% of all the tweets. But just because the United States seems to be the most involved in Giving Tuesday doesn’t make them the only ones. When we pulled up our geo-location heat map of where tweets were originating from we can actually see that people from around the world were tweeting and taking part in Giving Tuesday.

Sysomos MAP - Geo Location Heat Map of Tweets

Last year we also looked at how popular the #GivingTuesday hashtag was on Instagram. Last year we found 17,630 pictures tagged with the hashtag. This year though, that number rose to 70,708… which is a fantastic rise for a great event.

Sysomos MAP - Instagram Activity Summary

The best rise in activity that we found this year though was through the sentiment around Giving Tuesday in social channels. Last year 40% of the conversation was positive, while 13% was negative. However, this year, positive sentiment around Giving Tuesday rose to 57% and negative sentiment shrunk to 2%.

Sysomos MAP - Overall Sentiment

We were really happy to see that Giving Tuesday has seen a rise in awareness in the social sphere. We hope that it goes up even more for next year.

We’re curious to know how charities saw a rise on Giving Tuesday though. If you work for or with a charity, please leave us a comment and let us know what you saw happen on Giving Tuesday and how it changed from last year.

Black Friday by the Social Numbers

Black Friday SaleNumbers vary on depending on where you look, but a lot of people seem to think that Black Friday this year didn’t generate the sales numbers that retailers were looking for. In fact, a lot of outlets are claiming that Black Friday sales numbers this year went down when compared to last year.

But sales numbers aside, Black Friday was still event that people were talking about. And a lot of that talk and sharing of sales and deals was happening though social media.

We decided to take a quick look to see just how many conversation were happening about Black Friday this year using MAP, our social media monitoring and analytics software.

Looking for mentions of “Black Friday” or the “#BlackFriday” hashtag on Friday November 28th, we found over 3.5 million social mentions on just that single day. That was 17,330 blog posts, 31,221 online news articles, 51,741 forum postings and 3,426,440 tweets.

Sysomos MAP - Activity Summary for Black Friday

While shopping is sometimes seen as something women prefer to do over men, when we looked a little bit deeper into those Black Friday tweets on Nov. 28th, we actually found that men were tweeting more about it than women by just barely more at 52% vs 48%.

Sysomos MAP - Twitter Activity Summary for Black Friday

Now, if you think that 3.5 million conversations about shopping sales in a single day is a lot, you’re probably right. In fact, when we looked at the mentions of Black Friday for the week culminating on the 28th, we actually found that mentions on the day were half of all the mentions. From November 22nd through the 28th the total mentions of Black Friday across social channels was just over 7 million.

Sysomos MAP - Activity Summary for the Week of Black Friday

When we trend those numbers out across the week, we can actually see just how much the mentions of Black Friday rise until the day actually hits. Most of the week before seems to have a few mentions happening each day, but we can really see people starting to prepare and talk about Black Friday on the 27th (which is the American Thanksgiving). But then on the 28th, when Black Friday hits, the numbers just skyrocket.

Sysomos MAP - Popularity Chart for the Week of Black Friday

When we dug deeper into Twitter mentions for the whole week, we found that men and women equaled out in their shares of mentions. What’s more interesting though, is the actual number of tweets that occurred. Even if we minus the number of tweets we showed above that happened on Black Friday (3,426,440) we still have 3.3 million tweets that mentioned Black Friday leading up to the actual day. This is very different than we saw in a post that we did back in 2012 that showed only 1.1 million tweets in the two weeks leading up to Black Friday. That means talk of Black Friday has tripled in those two years.

Sysomos MAP - Twitter Activity Summary of the Week of Black Friday

Now, just to be fair, since yesterday was “Cyber Monday,” we thought it would be interesting to also compare the mentions of that to Black Friday. We were really surprised with what we found here.

Many financial publications speculated over the weekend that Black Friday sales weren’t as high this year because people were waiting buy their stuff online instead on Cyber Monday. However, when we looked at how many times “Cyber Monday” or the hashtag “#CyberMonday” was used yesterday we were very surprised. Mentions of Cyber Monday didn’t even hit the 1 million mark yesterday. There was only 7,099 blog posts, 13,065 online news articles, 10,703 forum postings and 806,668 tweets yesterday containing our key terms.

Sysomos MAP - Activity Summary for Cyber Monday

Now none of these mentions have any real effect on what sales were like, but we were surprised to see the low number of mentions of Cyber Monday yesterday.

What do you think is happening here? Are people done with the big shopping sales day? Or people just not talking about it as much through social media? Let us know what you think in the comments.