data_journey

Zuzanna Pasierbinska-Wilson, VP of Marketing at DataSift, explains how brands can arm themselves with a deeper understanding of their market, current customers and future customers, to skillfully engage with their target audience on the customer’s social turf. Providing a detailed look at how consumers engage on Facebook, Snapchat, Tumblr and Instagram she argues it makes sense to examine which consumers are spending time on which platforms —and how they are spending their “digital” time.  …

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If you’re a marketer in any organization today every decision you make should be driven by data. Why? Whether it’s customer satisfaction data, website data, mobile data, in-store data, or social data, intelligence on what makes your audience tick is everywhere. But, until last year, access to the world’s largest source of public opinion remained out of reach: Facebook. Peoples’ interactions on the world’s biggest social platform remained a mystery – their likes, dislikes, and…

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2016-05-26

If you’re new to PYLON and Facebook Topic Data, then you’ll have some ‘first time’ learning to do, even if it’s only the concepts. As you start using PYLON, you’ll need to expand on your original learning, either to make full use of the features or as your learning needs move from the conceptual to the procedural. Lastly, if things don’t go to plan or you’re making changes, you may need to re-visit training some…

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2016-05-04

If you are confused and thought you read this post three months ago, you’re probably not alone because I literally copied and pasted our post from January and added about 0.05 to all the numbers. Facebook beats analyst expectation yet again! Facebook had one of the best start of the year by adding roughly 60 million users to boost its total monthly active users to 1.65 billion people on Facebook. If you are more interested…

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2016-04-18

It is with great pleasure that we announce the latest batch of improvements to our PYLON for Facebook Topic Data platform. As of today, we are offering our partners three new ways of analyzing Facebook topic data, making it even easier for them to provide marketers with the unprecedented insights that Facebook topic data offers. Sampling The first of these new features is sampling. Sampling is an analysis technique that allows the characteristics of a large dataset to…

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top_5_f8_blog

Facebook’s annual developer conference F8 may have just wrapped up, but a slew of new tools and gadgets are already available to developers and brand marketers. Do you know how to take advantage of these shiny new toys? Top five F8 announcements There are tons of F8 recaps on the web, but here are the top five announcements you should care about as a brand marketer. Chatbot – Facebook Messenger now allows businesses to deliver…

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2016-04-11

What is the best movie of all time? Is it Vertigo as voted by critics? Or The Shawshank Redemption which has the highest rating on the IMDb? Or Avatar which took the most at the box office? You probably don’t think that any of those is the right answer (and you’d be right). What makes a great movie is a very personal thing and there isn’t one right answer. We all have our own expectations…

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Last week I co-hosted a webinar entitled Boosting Your Brand Marketing with Facebook Topic Data Insights. On the webinar we talked about how to use Facebook topic data for use cases such as measuring brand health, campaign analysis and identifying viral content. If you missed the webinar you can catch up with it here and you can read in detail how to use PYLON for Facebook Topic Data to get these insights on our developer…

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2016-04-04

From open communication to closed interaction, the ecosystem of social data is constantly changing and evolving. Amidst shifting landscape of consumer behaviors and privacy concerns, how do you adapt and capture sophisticated, multi-dimensional audience insights? This blog is the first in a series of posts to help you build deeper insights products using Facebook topic data. How social data analytics will adapt to the mass migration of consumers to non-public social spaces Social data provides the world’s…

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datasift_learning

In our previous blog, we showed you how to differentiate by baselining. In this blog, we want to further explore how you can stand out by creating an insights archive. This blog is the last blog in a mini blog series on product differentiation. In the face of growing competition in saturated markets, the field of predictive analytics is gaining importance as firms try to find their competitive edge. Predictive analytics is particularly valuable for…

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