OpenAmplify Recent Blog Posts
Webinar: The Evolution of Social Media Monitoring
Listen in and chime into the conversation this Thursday, Feb. 23. 2PM EST during a webinar hosted by our friends at Radian6, a Salesforce company. OpenAmplify's CEO, Mark Redgrave has been invited to join this panel to discuss what's next in the rapidly changing social listening space. Mark will be speaking more specifically about how OpenAmplify's NLP engine delivers unique insights on "intent" which what your social customers express about how they want to engage with your brands and products.
For more details and how to register, please see below.
Vampires vs. Jerry Seinfeld
We recently completed an analysis, in collaboration with Kantar Video, on social conversations around Super Bowl game-day commercials. For OpenAmplify’s contribution, we focused on one of the largest category of advertisers: automotive. As part of their annual study on what’s dubbed as “Big Game Advertising,” Kantar Video examined online video viewership and social activity to determine earned media value. Building on important viewership metrics, a closer look at what people are actually saying about the commercials seemed like the logical next step.
Go west... Socialize West
Clearly, for businesses gone social, the pressure is on to measure the efforts and investments around it. This will be a hot topic at next week’s conference Socialize West (Oct 20-21 in San Francisco), which OpenAmplify is sponsoring. The conference has a terrific line up of speakers around the four themes: gamify, mobilize, optimize and monetize.
Keep the 'human' in social media - no need to scrub it out!
Social media provides us with a rich source of information about people - our friends, our customers, everyone. Up until recently, large data volumes had to be 'scrubbed' down to work within our analysis capabilities - well no longer.
Mark Redgrave's recent blog post on Radian6, Do your Scrubbing in the Shower, highligts how you can keep the real human element in the data and thus not lose a key component of the social media content stream.
Semantic Analysis for Facebook Open Graph
FaceBook announced yesterday the Open Graph Protocol which enables you to integrate your Web pages into the social graph. This means when a user clicks a Like button on your page, a connection is made between your page and the user. Your page will appear in the "Likes and Interests" section of the user's profile, and you will have the ability to publish updates to the user.
Content leads to outcomes, but how can outcomes lead to content?
If you just read a lovely travelogue on the joys of Martinique, you might go ahead and book a vacation cruise. If you just found a really luscious sounding recipe for Crème Brulee, you might go ahead and order a kitchen torch. As publishers, we intuitively understand how content leads to outcomes. But how can we work in the other direction? Given an outcome, booking a vacation cruise or ordering a kitchen torch, how can we create or curate content which will produce that outcome?
Second by second Sentiment Analysis of Twitter
Tweet Sentiments is mesmerizing, as it analyzes sentiment on the twitter feed. It uses OpenAmplify's Natural Language based Semantic Analysis engine to measure the positive (or negative) emotions associated with tweets. Watch as tweets roll by at a rate of 1 per second with the sentiment shown in red/yellow/green icons. Also has pie charts, gauges, and trending topic lists with associated sentiment.
Using Semantic Analysis to help your site visitors find related content
SimpleReach is a NYC-based company at the intersection of content and advertising. They've partnered with OpenAmplify to help power the targeting technology behind their content recommendation unit, The Slide, and social influence measurement tool, LinkCurrent.
The Slide: Helps readers discover more of your content by recommending related posts on a widget that "slides" in at the bottom of the page -- increasing pageviews, time on site, and ad revenue (optional).
Facebook grouping similar posts
Facebook yesterday officially announced that it is grouping similar news feed stories based on keywords.So if any of your friends speak about iPhone ,then they will be grouped under the topic "iPhone" with a link to the Fan Page.
