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May 08 2012
May 01 2012
April 26 2012
April 25 2012
Google Drive getting a positive welcome
Google just launched a cloud storage service that was intended as a direct Dropbox competitor. The social conversations we registered around this topic showed a far bigger interest from men (80% compared to only 20% women). The spike in mentions is correlated to the time the announcement was made, with Twitter as the main driver for social talk.
The overall positive reactions we caught were most likely caused by the generous storage limit that Google set for Drive – 5 GB. At least when comparing it to Dropbox (which starts with a 2 GB plan), because other storage tools, like Sugarsync or Box, also offer 5 GB. Another thing that definitely helped was the PR stunts they created when news about the rumoured service started appearing on the web, developers leaked a preview about the new service prior to its launch, or an article was mistakenly posted on Google’s French blog.
Looking at the tag cloud, it’s easy to spot the main topics that people talked about in relation to this subject: the fact that it seamleassly integrates with Google Docs, Android and Google Apps; the big impact it will have on similar services: Skydrive, Box, or Dropbox, now a market leader; Mashable is nominated as a top influencer for this news; it’s also obvious that discussions about the ownership of cloud-stored files have already started.
April 18 2012
Measure your team’s social activity with the new engagement metrics
We’ve been working on new ways to help you understand how your social media team is performing. Managing your online presence is definitely not an easy job, and it’s even harder when you have to look over the activities of an entire organization. You’ve got your support team answering questions on Twitter, your event planners posting pictures from the last conference on Facebook, marketing people promoting your services on all relevant platforms and so on. How do you handle all of this?
We developed a set of targeted, but powerful engagement metrics to help you maximize your team’s potential. You get detailed info on how many times each of your team members engaged from inside the dashboard, how quick they are to respond to queries from customers and how they’ve evolved from one week to another. What we count as engagement are actions such as replies and retweets.
Keep track of who did what in your social media team
You can use these analytics to perform a social media audit trail of your entire team or for each group. It’s basically a set of records that helps you track the activities of your team’s involvement in social media. We archive all the social media conversations that your employees engaged in using uberVU – this is important especially for bigger companies that deal with security measures and specific industry regulations (these are critical measures for financial companies or government agencies, who have to set up social media policies before joining the conversation).
By going to the General tab in Settings, you can download the entire log for your team. The data you get in the CSV file contains a complete activity history for each message sent from the dashboard: date, login email of the sender, social account used to send the message (since you can add multiple accounts, one can post from either the company’s account, a personal one or a dedicated account for certain activities like social customer service), social platform, the actual text of the message, as well as complete data for the post it was intended as a reply to (account name, message, date).
All this information is extremely useful when you’re trying to make sure that every employee is accountable for their social media activities. Since all messages are captured in their initial form for all your employees, you can easily back up the data for social media compliance issues, keep tabs on the engagement workflow for review purposes, as well as the filter the data by any criteria in case you need to draw up activity reports.
PS. For a better grasp on what your team is doing, you can always turn to the permissions tab to define which social networks employees have access to. You can even choose which streams they’re allowed to work with.
April 17 2012
Social monitoring for real-time disaster management
What if we used social media as a real-time barometer of everything that’s taking place around us, in the real word? It’s already happening: public organizations, NGOs or government agencies are utilizing social media not just to spread out messages, but also to warn people of emerging natural disasters.
Social media monitoring is not yet fully-equipped to deal with events like earthquakes and tsunamis – but using a real-time monitoring tool, you can get a lot closer to developing a real-time alert & response system that can actually change the way we deal with disasters.
While monitoring social mentions on earthquakes, we noticed a massive spike in mentions on April 11th, at 10:00 GMT. Looking at the stream, we correlated this to the earthquakes that happenned on both coasts of Indonesia’s Sumatra Island. The spike can be tied to people’s panicked attempts to leave for higher grounds – the earthquake could have triggered a tsunami wave all across the Indian Ocean, mimicking a series of events that happened in 2004, in approximately the same area. Luckily, the tsunami alert was lifted after 4 hours. Social conversations increased with 1148% in this geographical region over a period of 6 hours.
Top countries where social conversations took place (for the period of 10-12 April) are:
Since the outburst for Indonesia was far bigger than the ones for US and Japan, but the overall social media coverage was less impressive, we decided to further investigate the issue.
Moving on to April 12th, we caught important stories about earthquakes happening in the Gulf of California and western Mexico (both happened at around 22:00 GMT). However, the most powerful insights we discovered using the uberVU system where geography bursts coming from Japan (there were as much as 1987% more mentions than usual in just 1 hour, with an increase of 87% mentions in japanese). Top stories we registered came from traditional media outlets like CNN and Bloomberg (for Mexico and US news). In the case of Japan, news dissemination was handled mostly by the Japan Meteorological Agency. This could be an explanation of the fact that there were a lot more mentions in US and Japan than the ones in Indonesia.
The data we got is indicative of the way we can use these online channels to stay up to date with hazards through instant notifications, crisis assessments and monitoring disaster effects. An emergency management program could include issuing live warnings for citizens to limit the damage suffered. For example, disaster mitigation agencies can send out evacuation orders, or embassies can use this information to give real-time travel bulletins.
April 12 2012
Working on it ...
April 11 2012
The database wants a small upgrade...
New Facebook Analytics to understand how you reach your fans
We’ve updated our Facebook Analytics to reflect the new Page Insights that Facebook has introduced for Brand Pages. The default view shows the total number of interactions for the last week, but you get detailed info for each day at mouseover.
What does each of these metrics mean?
Viral reach is the number of unique people that saw your stories from their friends activities, for example if they shared, commented or liked your post, answered a question, RSVPd to an event or posted directly on your wall. The number reflects how many times were your updates seen.
People Talking about measures how much conversations you’re generating through the content you’re posting on Facebook. The interactions that make up this metric include activities shared in users’ timelines, from posting to your wall to sharing, liking or commenting any type of content you add to your Page (posts, photos, questions, events). So this basically answers the question of how many people created a story from one of your posts.
“It’s not about the number of fans, it’s about engagement”
Why are these metrics important? In social media, there have been numerous talks about what to measure when trying to gauge your company’s ROI. The numbers of fans is, of course, important, but on the long term it’s best to focus on the engagement we drive through our interactions with them. It basically boils down to 2 questions: should we make more people click the like button or should we strive to understand what they’re interested in after they become fans?
Metrics like “Viral Reach” and “People talking about” put things into perspective. You can have less fans than a bigger business, but get more engagement from your community’s members. The metrics are a true gem for community managers who want to show their teams & bosses what they’ve been really doing for the brand. Your ultimate goal is not getting more fans, but making sure your content reaches a larger portion of them.
Keep in mind that even people who are not yet fans can see this metric, so it’s important to try to improve your page’s activity, as this number reflects on your overall reputation – how well your community responds to updates by engaging in talks and sharing stories, and how valuable your content is.
We have also included a demographic data tab in the Analytics. What you get here is a breakdown of all the activity on your FB Page by language, country, gender and age, so it’ll be easier for you to understand your fanbase – where most of your fans are located, what’s the age group you’re most popular with. Remember you can choose who receives your updates by targeting users by location and language, so these are important analytics you can use when you decide what to post on your Facebook Timeline.
April 09 2012
April 04 2012
March 27 2012
Scheduled downtimes for hardware maintenance
We will do some hardware maintenance today (28/03/2012) from 00:30 CEST to 02:00 CEST. Most of this should go unnoticed by you, however we probably won't be able to prevent a few downtimes of about 5 minutes within this timeframe. We will try to keep them as short as possible.
For those of you who care, we will improve the cabling in the server rack, move some servers around and reinstall old unused machines. These will most probably then serve as frontend servers for soup.io and/or as backend workers to deal with the feed imports.
March 12 2012
March 09 2012
New: Change your video theme while editing!
March 07 2012
February 29 2012
The new Hourly Sentiment Trends: Understanding attitude changes in real-time
When you’re trying to make sense of the way people feel about you on the social web, average sentiment values might not be sufficient. This is why we provide an overview of daily changes in sentiment data, which is very useful if you want to understand how the sentiment evolved over the last week. But looking at how our customers use the tool, we realised that sometimes the daily breakdown is just not enough.
It’s hard to find patterns and incentives behind each sentiment change, but we’re getting closer to helping you achieve that through the newly-introduced hourly sentiment display. It allows you to see exactly how sentiment progressed throughout the day and it makes the charts even more actionable than before.
This is especially useful when dealing with important global events, such as The Oscars or The Super Bowl – with so many people tweeting and updating their Facebook profiles, it’s only natural that you’ll have to deal with big amounts of data that require you to drill deeper into the analytics. Just imagine what would happen if suddenly an unexpected event took place, like the stunt Sacha Baron Cohen pulled on Ryan Seacrest at the Oscars – that definitely caused a massive spike in sentiment and volume.
Take a look at this example:
In the visualization for the daily evolution, you can clearly see the volume for positive, negative or neutral mentions, but the overall picture seems to suggest a rather constant flow. But change the graph to hourly view, and this is what happens:
It’s now become obvious that the day started pretty quiet, then something important caught people’s attention and got them talking. It would have been hard to catch this had you not been able to see the hourly visualization.
Getting a glimpse of these values makes it much easier to determine whether certain changes correlate to something in particular (a blogpost, a tweet, or maybe even a real-life event) and what causes the values to drop or increase.
The same happens for the Daily Mentions graph – switch the view to hourly, and you get a detailed chart for the volume of social media updates, with modifications that were difficult to spot otherwise.
Let us know what you think of this new feature in the comments.
We’ve also added these other cool product improvements:
Reports Console – Create a graph based on your tags
When adding a widget in a PDF report, you can group mentions by volume, evolution, gender or share of voice. But wouldn’t it be useful if you could show your manager a report highlighting all the mentions your Tech Support Team tagged as “Happy Customers”? Well, now it’s possible with the addition of a new widget called Tagged Mentions.
CSV reports – More information included in the raw data files
If you’re using the CSV files to make your own reports, you’ll be happy to know that we’re now including additional data to the already existing one: the report contains 3 new fields with information about cities, regions and countries.
February 28 2012
February 27 2012
February 22 2012
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