Blog and Comment Data Answers the Why

Shoppers Tweet about what they bought, but they turn to blogs and comments to share why they bought.

This is only one example of what makes the long-form data from blog and commenting platforms valuable to any company looking to better understand why their customers and prospects make the decisions they do. Simply put, blogs and comments are opinion rich. And when it comes to product development, sales, brand management, and more, these opinions provide a unique and critical lens into the nuanced thinking behind customer decisions.

In the past, some social media monitoring providers have used scraping solutions to include blog and comment data in their offerings. While this can get you the data, scraping has several fundamental challenges. The data can be days or weeks old. Scraping solutions often ignore terms of service and user intent, meaning the data can disappear at a moment’s notice when the scraper gets blocked. The data can come in a range of formats that make it very difficult to parse and analyze. And with scraped data, you only get results from the blogs and comments that you know you should be looking at, missing important discussions that surface in new and unexpected places.

It’s because of these challenges that we’re introducing Gnip for Blogs, combining content from four of the most popular long-form blog and comment sources. This first-of-its-kind package of data from Disqus, Tumblr, WordPress and IntenseDebate gives realtime, normalized, terms of service-compliant access to the rich conversations happening across a huge swath of the Internet. With Gnip for Blogs, customers are able to easily and confidently build their business applications on multiple sources of long-form data knowing it won’t suddenly disappear tomorrow.

Each of these sources has a story to tell on its own, but by looking at them all together brands are able to draw insights from an enormous range of discussion. This includes the mass market reach provided by WordPress who powers 19% of the web, the high volume of brand mentions on Tumblr, the highly-engaged audience on IntenseDebate and the enormous reach and quality of the conversations on Disqus.

One of our customers, Networked Insights, recently used realtime WordPress data to identify early technology trends based on influencer blog conversations. They then used this content to refine and focus a targeted online promotion for one of their customers. The end result? A 30% lift in ROI for their online ad spend. And this is only the beginning.

For more information, check out the Gnip for Blogs on our website or contact us at info@gnip.com.

Gnip Introduces Search API for Twitter: Instant and Complete Access to Recent Twitter Data

Today Gnip is announcing the public availability of a new product offering, our Search API for Twitter. We couldn’t be more excited about its disruptive potential to get social data into more tools, more products, and ultimately, more business decisions.

Ever since we announced our industry-first partnership with Twitter in 2010, customers have told us how important it is to them to deliver answers to questions about what has just happened on Twitter and to deliver these answers confidently and quickly. When the conversation about a brand or a product gets heated, brands immediately turn to the companies we serve to engage, measure, and respond. Our new Search API enables Gnip customers to build the product to meet these needs in a way that hasn’t been feasible before.

Although we’re announcing the public availability of this offering today, we’ve been working with a few close partners to integrate the Search API into their products and have seen the impact it has made for them. Realtime marketing leader Expion has used the Search API to build tools to help marketers instantly engage and react to marketing opportunities for their brands that are happening now. Simply Measured, provider of easy and powerful social media analytics, is using the Search API to enable their customers to quickly understand the broader context around conversations about their brands or products. In these early uses, we’ve heard from our customers about how important the “fast” and “instant” experience is for their needs.

Like all Gnip products, we’ve built our Search API to be enterprise-ready and capable of handling the most demanding and business critical use cases. When any Tweet can be the one that changes a decision, every Tweet matters. We’ve built the redundancy and robustness into the Search API to meet the needs of the the most sophisticated and advanced social data uses. At the same time, the Search API also provides an easy path to get started for those new to social data.

With the Search API, the foundational first step in social analytics — counting Tweets over a timeframe about a brand or product — is easier than ever, and is now possible without a having to tackle the traditional challenges with big data, streaming data, or even having to mess with storing data at all.

When reliable, sustainable, and complete social data is easier to get and use, we expect even more business decisions to be made using this incredible data. We can’t wait to help accelerate this future and can’t wait to see what our customers and partners build with this data.

If you’re interested in learning more about our new Search API for Twitter, please visit gnip.com/twitter/search-api or email info@gnip.com.

Introducing PowerTrack for Tumblr

Gnip is introducing a solution to make it even easier to find the Tumblr data you want to see. We’re introducing PowerTrack for Tumblr, a way to filter specific content. Tumblr is an unbelievable source of social data with more than 70 million new posts every day. Similar to PowerTrack for Twitter, PowerTrack for Tumblr will deliver full coverage of the posts you want based on the filtering criteria you create.

With PowerTrack for Tumblr, you can filter Tumblr data by not only keyword, but also by specific Tumblr blogs. This means if a brand wants to track the content on their Tumblr, they can track activity and reblogs around that specific Tumblr. In addition, users can track specific URLS, so if you’re a brand you can watch for all links to your company page. With Tumblr’s seven post types (text, photo, quote, link, chat, audio, video), it’ll now be possible to hone in on specific post types. If you’re only interested when a song is posted, now it’ll be even easier to track. You can read all of the specific filtering rules available on Gnip’s documentation.

After we announced the launch of the Tumblr firehose in April of this year, we’ve been blown away by the uniqueness and richness of Tumblr content and how active their community is. And the Tumblr analytics space is evolving quickly with the launch of Union Metrics for Tumblr several weeks ago. We know that content on Tumblr can be incredibly viral and sticky due to the ability to reblog and tag content. Whether brands have an official presence on Tumblr or not, they’re going to be mentioned there. We’re excited to offer a product that makes it easier to find mentions and content. Check out the details on your own or email us at sales@gnip.com to learn more.

A Moment in History: Access the Full Archive of Public Tweets

We are proud to announce that, for the first time, access to the entire historical archive of public Tweets, dating back to @Jack’s very first Tweet more than 7 years ago, is now available via our new product, Historical PowerTrack for Twitter. This product has been years in the making, and we can’t wait to see what the world will build with this data.

 

We believe that social data has unlimited value and near limitless application. The nature (fast & viral) and newness of social conversations has naturally directed focus to realtime applications. However, as the world becomes more reliant on realtime social data and the amount of social data created grows exponentially, the need to put this information into historical context has become increasingly important. Often, companies are considering the realtime reaction in social data and asking “is this good or bad?” This is one of the main questions historical data can answer. For example, if an auto manufacturer launches a new model and 25% of the social conversation is determined to be negative, is that healthy?  Knowing that the last model launched to record sales & had 40% negativity helps put the new realtime data into context.

Historical data can also be highly informative to predictions about the future. Researchers have suggested to us that they can predict the outcome of a revolution by studying past revolutions online such as the “Arab Spring”.  Likewise, we’re seeing hedge funds make a real commitment to incorporating social data into their trading algorithms. It is critical for these funds to be able to refine their predictive trading models by studying vast quantities of historical data.

Until now, all this promise of social data has had a foundational limitation: very little reliable and complete historical data has been available. And as we know, historical analysis is only as good as the quality of the underlying data. You can’t provide complete context if you only have part of the data.  That’s why we are so excited to be the first company to offer complete coverage of all public Tweets from the beginning of time.

We’re able to deliver the full historical corpus via our long-standing partnership with Twitter. We helped Twitter deliver the full archive of Tweets to the Library of Congress. That was a massive effort that took a long time. The rest of the social data ecosystem can benefit from that effort starting today.

This level of access has never been available and we know it is really going to accelerate the rate of innovation going forward. We think there are new products and businesses that will now be possible with access to a “social layer” of historical data. We frequently ask ourselves “If you could know what the world was saying at any moment in time about any topic, what could you build?”

We’ve already been working with companies like Esri, Union Metrics, Brandwatch, Waggener Edstrom Worldwide, and Texifter during our early access period and it’s been incredible to see how fast they are innovating with this new data.

Gnip aspires to be the source of record for all public conversation. That’s a lofty goal. We’re taking a major step forward with today’s announcement.

Want to learn more about Historical PowerTrack for Twitter?  Email info@gnip.com.

Announcing Power Track – Full Firehose filtering for the Tweets you want

The response to the commercial Twitter streams we’ve made available has been outstanding. We’ve talked to hundreds of companies who are building growing businesses that analyze conversations on Twitter and other social media sites. As Twitter’s firehose continues to grow (now over 110 million Tweets per day), we’re hearing more and more requests for a way to filter the firehose down to the Tweets that matter.

Today, we’re announcing a new commercial Twitter product called Power Track. This is a keyword based filter of the full firehose that provides 100% coverage over a stream that you define. Power Track customers no longer have to deal with polling rate limits on the Search API and volume limits on the Streaming API.

In addition to keyword based filters, Power Track also supports boolean operators and many of the custom operators allowed on Twitter Search API. With Power Track, companies and developers can define the precise slice of the Twitter stream they need and be confident they’re getting every Tweet, without worrying about volume restrictions.

Currently we support operators for narrowing the stream to a set of users, matching against unwound URLs, filtering by location, and more. We’ll continue to add support for more ways for our customers to filter the content relevant to them in the future. Check the documentation to see the technical details of these operators and more.

Gnip is here to ensure the enterprise marketplace gets the depth, breadth, and reliability of social media data it requires. Please contact us at info@gnip.com to find out more.

Official Google Buzz Firehose Added to Gnip’s Social Media API

Today we’re excited to announce the integration of the Google Buzz firehose into Gnip’s social media data offering. Google Buzz data has been available via Gnip for some time, but today Gnip became one of the first official providers of the Google Buzz firehose.

The Google Buzz firehose is a stream of all public Buzz posts (excluding Twitter tweets) from all Google Buzz users. If you’re interested in the Google Buzz firehose, here are some things to know:

  • Google delivers it via Pubsubhubbub. If you don’t want to consume it via Pubsubhubbub, Gnip makes it available in any of our supported delivery methods: Polling (HTTP GET), Streaming HTTP (Comet), or Outbound HTTP Post (Webhooks).
  • The format of the Firehose is XML Activity Streams. Gnip loves Activity Streams and we’re excited to see Google continue to push this standard forward.
  • Google Buzz activities are Geo-enabled. If the end user attaches a geolocation on a Buzz post (either from a mobile Google Buzz client or through an import from another geo-enabled service), that location will be included in the Buzz activity.

We’re excited to bring the Google Buzz firehose to the Social Media Monitoring and Business Intelligence community through the power of the Gnip platform.

Here’s how to access the Google Buzz firehose. If you’re already a Gnip customer, just log in to your Gnip account and with 3 clicks you can have the Buzz firehose flowing into your system. If you’re not yet using Gnip and you’d like to try out the Buzz firehose to get a sense of volume, latency, and other key metrics, grab a free 3 day trial at http://try.gnip.com and check it out along with the 100 or so other feeds available through Gnip’s social media API.