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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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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In our previous blog, we showed you how to differentiate by creating industry-specific indexes. In this blog, we want to further explore how you can stand out by baselining to add further context. This blog is part of a mini blog series on product differentiation. Any data without context is just numbers. If you know that 1,000 people are posting about your brand, that may sound great for a startup but not so much for…

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In our previous blog, we showed you how to differentiate using complex queries. In this blog, we want to further explore how you can stand out by creating industry-specific indexes. This blog is part of a mini blog series on product differentiation. The people on Facebook represent every vertical and every demographic group. Facebook topic data, not only gives you a complete view of the entire population and trends in general, but also presents the…

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In our previous blog, we showed you how to differentiate using VEDO tags. In this blog, we want to further explore how you can stand out using complex queries. This blog is part of a mini blog series on product differentiation. With 1.59 billion monthly active users, even at just the surface level, the breadth of insights made available through Facebook topic data is unmatched by any other social network. Yet, the true value lies…

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2016-03-10

As a marketer or agency, imagine what you could learn if you had access to one of the biggest sources of public opinion on Earth. What could you achieve if you had insight into what your audiences were passionate about, their true thoughts on your products and competitors, and the moments that mattered to them at your fingertips? Think about it. By understanding what makes your audience tick, you could better inform your campaign designs,…

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You might have seen our recent blog post where we discussed how a TV channel used Facebook topic data to understand how audiences engage with TV series, and used this knowledge to optimize their real time marketing campaign. In this post we’ll take a look at how the research was carried out using our platform. Using Facebook topic data to understand behaviour The way we watch and engage with TV has changed. No longer do…

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Now that you’ve proved the value of Facebook topic data to your customer, how do you create a killer product to differentiate yourself in the market using PYLON for Facebook Topic Data? This blog is the first in a mini series to show you how you can stand out. The universe of Facebook topic data is expanding at an amazing speed. From our perspective, it is truly marvellous to see so many companies are doing…

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Last Thursday we held a webinar, How to Optimize Your Marketing Strategy with Facebook Topic Data. This was our second webinar where we highlighted new real-life use case examples of how brands have been leveraging Facebook topic data.  Facebook topic data allows insights to be drawn from posts, likes, comments and shares across the entire Facebook network. With 1.59 billion monthly active users, Facebook is the largest source of public opinion. But what does that mean…

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I recently read an AdExchanger piece that discussed opportunities for the auto-industry to make better use of data in its advertising. The author, Maxwell Knight of Turn, describes the challenges presented by having branding dealt with at a national level and direct-response happening at a regional level. Knight argues that rather than taking the traditional approach of identify individual customers based on searches and clicks, and programmatically serving ads, the automakers would benefit at both…

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