Data Story: Phil Harris of Geofeedia

Data Stories is Gnip’s ongoing series telling the stories of the people and companies that are doing groundbreaking work in social data. This week we’re interviewing Phil Harris, CEO of Geofeedia, a company that allows you to search and monitor social media by location. Geofeedia is a recent Gnip customer, and I love what they’re doing. The inherent value of Geofeedia was made clear to me when we received a media request looking for all social media that was geotagged close to the finish line of the Boston Marathon. Content + location creates powerful stories and Geofeedia is making it easier to find the right ones. 

1. What social data sources do you wish had geotagged data?
Our business is built on the fundamental premise of open source social data aggregation.  Or, I should say, every source. That said, there are currently major social data sources that provide public location data based on location identifier versus geotag. We will accommodate location id to integrate these data sources, but I strongly believe that over time, the benefits of more precise geo-location tagging on social media content will encourage these services to move towards geotagging. When they do, we’re exceptionally well positioned to translate that evolution into benefit for our clients.

2. If you’re a user, what do you think is the advantage of sharing your geodata?
We’ve barely scratched the surface of how geodata will deliver value to consumers. I believe the rapidly growing penetration of smartphones and adoption of geo-centric applications such as navigation will create a rich ecosystem of geo-data driven benefits. I am speaking with major consumer brands who believe that they will be able to create and maintain consumer relationships via location based social media in ways that will deliver significant value back to the individual user.

3. What can you find with Geofeedia that you can’t find on other platforms?
I know from analyzing our data with active customers that a significant amount of user generated content is missed by traditional keyword or hashtag centric monitoring tools. We complement these platforms to ensure relevant location based content is delivered to our customers in real-time.

4. Only a small portion of social media is geotagged, do you think this will change in the future?
I do. We’re seeing an increase every quarter, but as brands start rolling out compelling reasons for consumers to geotag their content, I believe geotagged social media will become the default.

5. How do you think Geofeedia will be used for good?
The leading businesses I’m speaking with consider Geofeedia as a tool to improve their overall customer experience. Understanding an individual social media conversation at a moment in time at a given location drastically improves the ways brands can serve their customers. Also, numerous public safety agencies are using Geofeedia to improve their ability to respond to natural disasters and other scenarios where real-time, location based social media awareness delivers great value.

6. How will real-time geo monitoring affect a brand’s ability to connect with their customers?
Like I said, the major brands with whom I’m speaking are evaluating how to improve their overall customer experience across all touch points – sales, customer service, loyalty – through real-time location based monitoring, analysis and engagement. I do believe that real-time, location based social media engagement will drastically improve a brand’s ability to have a meaningful, new type of relationship with their customers and become a de facto element of their communication mix.

Commercial Evolution of Social Networks

Over the past four years Gnip has seen many social services come and go. Not surprisingly, a pattern has emerged in how they evolve, and the degree to which our customers need their public data. There are generally three distinct phases a social service goes through, and how the service does in each phase impacts how it ultimately participates in the broader public social data ecosystem which can complete a full commercial cycle. This cycle being one combining consumer use (often buying intent, or expression) with commercial engagement (identifying need in time of natural disaster, or ad buying).

Phase 1: Consumer Engagement
​A social service must engage us; the end-users/consumers. Whether via a homegrown social graph, or leveraging someone else’s (e.g. Facebook Connect), in order for a social service to become useful, it needs users. From there, those users need to participate in self-expression (from posting a comment, to retweeting a tweet) and generate activity on the service. There are a variety of ways to compel us users to engage in a social service, but the social service itself is solely responsible for the first experience. The vision of the services’ founders yields a web-app or mobile interface that allows us to take action, leveraging the expressions laid out by the app itself (e.g. sharing a photo). If users like the expressions, discovery methods, and sense of “connectedness,” you’ve got a relevant social service on your hands.

Phase 2: APIs; Outsourcing Engagement
At some point a successful social service realizes the potential for outsourcing the expression metaphors that make the service successful & useful, and they construct an API that allows others to RESTfully engage with the service. In some instances the API is read-only. In some instances the API is write-only; sometimes both. What is key is that nine times out of ten, the API is meant to drive core service engagement via other user-facing applications. A classic example of this would the zillions of non-Twitter Inc clients that “Tweet” on our behalves everyday. One look at the endless number of Tweet “sources” that flow through the Firehose and you’ll realize this engagement potential.

The exceptional API is one that has broader social data engagement ecosystem consumption in its DNA. Typical social services consider themselves the center of the universe, and that not only will they capture all consumer engagement, they will be the root of all broader ecosystem engagement as well. However, success with Consumer Engagement does not guarantee commercial engagement; not by a long-shot.

Some services execute phase 1 and 2 simultaneously these days.

Phase 3: Activity Transparency; Commercial Engagement
Allowing other applications & developers to inject activities into the core service is obviously valuable, however it is only part of the picture. Social services with broad social and commercial impact have achieved this by addressing commercial needs for complete, raw, activity availability. For example, in order for someone to deploy resources in a disaster relief scenario effectively, they need to make their own determination as to what victims need, where they are located, and general conditions surrounding the event. The social service limiting access to the activities taking place on the service, by definition, yields an incomplete picture to downstream commercial consumers of the content. The result is a fragmented & hobbled experience for commerce engagement.

Another key component to commercial engagement is realizing that the ecosystem of data analytics and insights is well established, complex, and interwoven. Massive investments have been made in the market over the years, and brands want to leverage that fact. It is illogical for a social service to address the endless needs of the enterprise by building their own tools. Attempts to supplement this market comes at the potential expense of losing focus on building a great consumer experience.

The most impactful, useful, and valuable social services that Gnip customers leverage for their needs (ad buying, campaign running, stock trading, disaster relief), are those that acknowledge that they are not an island in the ecosystem. They complete the cycle by providing unfettered access to one of their most significant assets. In trade, the relevance of the social service itself is maximized because commerce can engage with it.

A good example of how impactful this transparency can be is Twitter. Consider how Twitter is used across new, as well as traditional, media. They’ve completed the cycle with a strong offering of Phase 3.

All three phases are not required for success, but all three are indeed required for success in the broader public commercial social data ecosystem.

Netbase’s Report: Social Listening vs Digital Privacy

Yesterday, Netbase released a digital marketing reporting done in conjunction with J.D. Power. The report, “Social Listening vs Digital Privacy: A Consumer Study” was done in Dec 2012 and surveyed more than 1,000 US consumers. The survey and analysis focused on customer awareness of social media listening and engagement, and those consumers’ views on this use of their online conversations.

Now, full disclosure – Netbase is a member of our Plugged In partner program – but this survey got me thinking.

You can see a summary survey infographic and explanatory post here. From Gnip’s standpoint, this report aligns closely with a core tenet of our own vision, as well as a key reason behind our creation of Plugged In.

More specifically: A strong, sustainable social media data ecosystem requires an understanding of and adherence to social media network terms of service, data compliance and respect for the user.

If you look at some of Netbase’s findings, that context explains why the mission above is so important. Many consumers value their privacy – but value it within a specific context. And they want actions to come from their words! (50% want companies to listen to improve products and 60% want companies to respond to complaints).  Walking the fine line of helping brands understand consumer opinion while still respecting consumer privacy and personal space requires an understanding of what data is and should be available. As Netbase says (paraphrased) – “don’t intrude but instead build relationships”.

For brands to continue to have access to social data- and to be able to build better products and serve customers better because of that access- there needs to be an understanding and acceptance of what compliant and reliable social data includes.

We’ve made this part of our core mission by focusing on publicly-available social data accessed in alignment with the Terms of Service for that data. We’re grateful for Netbase and our other partners who continue to help us ensure this ecosystem grows more mature through their support of that mission.

Why Traders Use Social Media: Speed & Amplification

Gnip’s asset and investment management clients are consistently impressed by two aspects of our social data that differentiate this data from their other sources: Speed & Amplification.

Speed

Speed relates to the ability of social media content to be ‘instant’; an ability fueled by millions of global users who can break news and sentiment more immediately than traditional media sources always can.

A prime example is news of the death of Osama Bin Laden. Keith Urbahn, the former chief of staff for Don Rumsefeld, is widely credited with the breaking that story… through Twitter!

After Keith’s tweet, multiple retweets quickly followed. Within 19 tweets on this subject, a company called DataMinr had identified this as an important and breaking story. DataMinr, a “global sensor network for emerging events and consumer signals,” then issued a signal to their clients, alerting them to this important piece of information.

How does this play into the ‘speed’ characteristic? Because it would be over 20 minutes before that story appeared on traditional news sites. Access to a data stream that can beat traditional media sources by over 20 minutes requires no explanation as to its value for traders and investors.

Amplification

Amplification speaks to the ability of social media as a ‘crowd-sourced megaphone.’ The propensity of users to like, share, and retweet content from other users gives those consuming social media data an extremely easy mechanism to measure what content is most important to the world – and compare that content against other content in real time.

A prime example is the passing of Steve Jobs. We wrote about Steve Jobs’ passing a few weeks ago – that post is here – but there’s an important item to revisit:

The impact he had on us made his death that much more profound and the reaction on Twitter was immediate and immense. Word spread rapidly, peaking at 50,000 Tweets per minute within 30 minutes. At that point, Tweets about Jobs accounted for almost 25% of all Tweets being sent globally.

Access to Gnip’s social media data stream allowed our clients to measure, in the moment, the amplification of this story to measure the importance the world placed on this piece of news. While I doubt any of us needed to see those numbers to know Steve’s passing was an important piece of news, that’s a clear example of how ‘amplification’ works.

Our clients use amplification as a measure to weigh the importance of breaking news, upcoming events, market and product announcements, etc. against other stories. By capturing a realtime snapshot of what the market considers important – and what it doesn’t – they’re able to add an important factor to their existing algorithms.

None of this is to suggest that either social media data speed or amplification should be a sole factor in investing. But when the Gnip social media data stream provides clients with an additional factor to help understand or predict market fluctuations, the value is obvious.

Customer Spotlight – Klout

Providing Klout Scores, a measurement of a user’s overall online influence, for every individual in the exponentially ever-growing base of Twitter users was the task at hand for Matthew Thomson, VP of Platform at Klout. With massive amounts of data flowing in by the second, Thomson and Klout’s scientists and engineers needed a fast and reliable solution for processing, filtering, and eliminating data from the Twitter Firehose that was unnecessary for calculating and assigning Twitter users’ Klout Scores

“Not only has Gnip helped us triple our API volume in less than one month but they provided us with a trusted social media data delivery platform necessary for efficiently scaling our offerings and keeping up with the ever-increasing volume of Twitter users.”

- Matthew Thomson
VP of Platform, Klout

By selecting Gnip as their trusted premium Twitter data delivery partner, Klout tripled their API volume and increased their ability to provide influence scores by 50 percent among Twitter users in less than one month.

Get the full detail, read the success story here.

Customer Spotlight – MutualMind

 
Like many startups seeking to enter and capitalize on the rising social media marketplace, timing is everything. MutualMind was no exception: getting their enterprise social media management product to market in a timely manner was crucial to the success of their business. MutualMind provides an enterprise social media intelligence and management system that monitors, analyzes, and promotes brands on social networks and helps increase social media ROI. The platform enables customers to listen to discussion on the social web, gauge sentiment, track competitors, identify and engage with influencers, and use resulting insights to improve their overall brand strategy.

“Through their social media API, Gnip helped us push our product to market six months ahead of schedule, enabling us to capitalize on the social media intelligence space. This allowed MutualMind to focus on the core value it adds by providing advanced analytics, seamless engagement, and enterprise-grade social management capabilities.”

- Babar Bhatti
CEO, MutualMind

By selecting Gnip as their data delivery partner, MutualMind was able to get their product to market six months ahead of schedule. Today, MutualMind processes tens of millions of data activities per month using multiple sources from Gnip including premium Twitter data, YouTube, Flickr, and more.
 
Get the full detail, read the success story here.

Get your Hack On! Gnip Helps Power an App Developed at the 2011 TechCrunch Disrupt Hackathon

Over 500 individuals recently gathered in New York City for this year’s TechCrunch Disrupt Hackathon. This annual event, fueled by pizza, beer, and Red Bull, features teams of die-hard techies that spend 20 hours, many without sleep (hence the Red Bull), developing and coding the next big idea. Participants compete in a lightning round of pitches in front of a panel of judges with the winners receiving an opportunity to pitch on the main stage at the TechCrunch Disrupt Conference in front of more than 1,000 venture capitalists and industry insiders.

We are excited that one of the apps that was developed at the 2011 Hackathon was powered by Gnip data! We love it when our customers find new and creative ways to use the data we provide.

Edward Kim (@edwkim) and Eric Lubow (@elubow) from SimpleReach (@SimpleReach), which provides next generation social advertising for brands, put a team together to develop LinkCurrent, an app powered by Gnip data and designed to measure the current and future social value of a specific URL. When fully developed, the LinkCurrent app will provide the user with a realtime dashboard illustrating various measures of a URL’s worth — featuring an overall social score, statistics on the Klout Scores of people who have Tweeted the URL, how many times the URL has been Liked on Facebook and posted on Twitter, and geo-location information to provide insight into the content’s reach. Call it influence-scoring for web content.

The hackathon team also included Russ Bradberry (@devdazed) and Carlos Zendejas (@CLZen), also of SimpleReach, Jeff Boulet (@properslang) of EastMedia/Boxcar (@eastmedia/@boxcar), Ryan Witt (@onecreativenerd) of Opani (@TheOpanis), and Michael Nutt (@michaeln3) of Movable Ink (@movableink)– Congratulations to everyone who participated! You created an amazing app in less than 20 hours and developed a creative new use for Gnip data. I highly encourage all of you to check it out: www.linkcurrent.co

Have fun and creative way you have used data delivered by Gnip? We would love to hear about it and you could be featured in our next blog. Drop us an email or give us a call at 888.777.7405.

Gnip Client Libraries from Our Customers

Our customers rock. When they develop code to start using Gnip, they often share their libraries with us so that they might be useful to future Gnip customers as well. Although Gnip doesn’t currently officially support any client libraries for access to our social media API, we do like to highlight and bring attention to some of our customers who choose to share their work.

In particular, here are a few Gnip client libraries that happy customers have developed and shared with us. We’ll be posting them in our Power Track documentation and you can also find them linked here:

Java
by Zauber
https://github.com/zaubersoftware/gnip4j

Python
by General Sentiment
https://github.com/vkris/gnip-python/blob/master/streamingClient.py

If you’ve developed a library for access to Gnip data and you’d like to share it with us at Gnip and other Gnip customers, then drop us a note at info@gnip.com. We’d love to hear from you.

Social Media in Natural Disasters

Gnip is located in Boulder, CO, and we’re unfortunately experiencing a spate of serious wildfires as we wind Summer down. Social media has been a crucial source of information for the community here over the past week as we have collectively Tweeted, Flickred, YouTubed and Facebooked our experiences. Mashups depicting the fires and associated social media quickly started emerging after the fires started. VisionLink (a Gnip customer) produced the most useful aggregated map of official boundary & placemark data, coupled with social media delivered by Gnip (click the “Feeds” section along the left-side to toggle social media); screenshot below.

Visionlink Gnip Social Media Map

With Gnip, they started displaying geo-located Tweets, then added Flickr photos with the flip of a switch. No new messy integrations that required learning a new API with all of it’s rate limiting, formatting, and delivery protocol nuances. Simple selection of data sources they deemed relevant to informing a community reacting, real-time, to a disaster.

It was great to see a firm focus on their core value proposition (official disaster relief data), and quickly integrate relevant social media without all the fuss.

Our thoughts are with everyone who was impacted by the fires.