The digital world is shifting towards user-centric. Preferences, interests and user intent define personalised marketing campaigns. There are dozens if not hundreds of tools to execute these campaigns. The tool providers promise to match the right user from their pool to your campaign needs – the only thing you have to do is to integrate their tools on your website. However, many companies are not aware that by doing so, they are leaking valuable data to third parties. In other words, the tool providers use your data to optimise other websites and apps which could belong to direct competitors. So to fully take advantage of the user-centric data companies are collecting, it is crucial that gathered data remains where it belongs – with you.

The data we can collect for customer acquisition and life time value enhancement runs the spectrum from generic (postal code, age, gender) through behavioral (clickthroughs, pageviews, apps use) to the highly subjective (opinions, attitudes, motivations). The combination of these datasets moves us closer to getting the right message to the right person at the right time on the right device at the right frequency. Jim offers a marketing data taxonomy as the last step before handing the process over to machine learning algorithms to determine which attributes are useful at any given moment for a given purpose.

For years, the advertising industry has relied on so called creative campaigns to boost GRPs and attribute marketing program effectiveness to end of funnel sales. Digital, and more specifically analytics, has brought about promises of transparency through numbers while remaining confined to the realm of measurability. Actors, battling for budgets, are all trying to technologically trace back and attribute the spark that made that very purchase happen, call it attribution or direct, last click, first click, what ever... conversion. After years of experience in the Digital sector, René has joined Neo@Ogilvy, Ogilvy & Mather’s global media agency and performance network where he’s building an Analytics team from scratch. René will share what he’s building, moving beyond traditional site centric Digital Analytics. His challenges encompass data integrations, bringing together CRM data to fuel campaigns, being able to measure the impact of the online channel in offline sales. It’s about helping clients transform the way they use technology and transform their business.

The See-Think-Do-Care framework, its obsession is with Content first, then Marketing, then Measurement. It is the only order that works. So often we see Measurement, then sometimes Marketing and only rarely Content. This is the message he's talking to CEOs.

Personalization, one to one, predictive targeting, whatever you call it, serving the optimal digital experience for each customer is often touted as the pinnacle of digital marketing efficacy. But if predictive targeting is so great, why isn’t everyone doing it? In this session Matt will give an overview of predictive targeting methodologies as well as a general framework for thinking about the trade offs you will face when embarking on embedding predictive methods into your marketing systems/process. A warning: While this talk assumes only basic statistical knowledge, it will introduce some relatively advanced/technical concepts. If you are looking for a ‘Top Five Practical Predictive Analytics Tips’ type of talk, you may want skip.

Many companies invest significant financial and human resources into Paid and Organic Search Campaigns. Quantification and optimization of SEO/SEM efforts are critical for those organizations that rely on search as an acquisition channel. This session will focus on how to use data to improve Paid marketing campaigns and SEO performance. We will explore how to use data from Google Webmaster Tools, Adwords, and Google Trends to compliment data that you'll find in your standard web analytics package.