talk-data.com

Brands are using LinkedIn to reach the most qualified audience (both literally & figuratively). However, they are often mistaken into using conventional KPIs to measure success on the platform. This talk will focus on a new paradigm of member centric measurement framework to demonstrate ROI on your social spend.

After a day full of amazing ideas here's your chance to ask Avinash anything on any topic that you care about. Bring your unique problems and challenges and ask for guidance, raise a complicated topic and request, if possible, simple solutions!

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.

A tale of caution about lack of transparency and rolling heads. Pragmatic Data Privacy take-aways for an era of Digital Entanglement and fluid Privacy legislation.

The loss of credibility and influence tied to delivering the wrong numbers to management is a pain and embarresment most senior analyst have experienced. And as data moves into a more and more central position in the company the demand for quality data grows. This session provides a practical roadmap to getting your data cleaned up once and helps you define a standard for your data quality.

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.

Web analysts don't get excited about government websites. They need conversion rates to increase, checkout funnels to optimise, paid channels to evaluate, and AB?s to test. They love Ecommerce, they love non-profits, and they might, at a push, even love a B2B. Government websites have none of these things; they're about as far removed from the crazy rock'n'roll world of conversion optimisation as it's possible to get. However, as this session will demonstrate, there's a huge amount of untapped data on government sites and huge value in connecting the dots.

Demonstrate any Digital Analytics solutions or method of your own that is way beyond the defaults. Who decides who’s gonna win? The audience. Send your nomination to [email protected]!

We die at the last mile very often. We do all this work, it is then presented in a way to leaders that makes it really hard to figure out what the heck is going on. We walk through how to present data simply, to truly communicate the insight we really want to. The cool part about this session is that everyone can participate: Avinash shows a slide. Everyone shares idea on how to fix it, then he shows how he'd fixed it.

It’s nothing new that the landscape of technology is rapidly changing and this has changed the consumer landscape forever. But how are we in the Digital Analytics industry addressing that change? For the second year now I’ve attended the Consumer Electronics Show in Las Vegas where hundreds of thousands of attendees descend on the city to see the latest in consumer technology and, increasingly, all types of technology. This year had several highlight areas: Internet of Things, Smart(er/ish) appliances, fitness technology, “future” cars and mobility, drones, and so much more. What does this mean for the future of digital analytics and what steps must we take as practitioners to prepare for and lead in these times? The answer may surprise you.

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.

Stéphane stirs up trouble (again) and reveals why your analytics are going nowhere. After years of investigating the strengths and weaknesses demonstrated by digitally mature (and mostly immature) organizations, Stéphane reveals the naked truth of the latest results of the Digital Analytics Maturity self-assessment, spiced up with useful tips and thought provoking anecdotes. Make sure to complete your own digital analytics maturity self-assessment before the session!

In this workshop, Stéphane will present the five key areas of maturity and share a tremendous amount of tips and pitfalls gleaned from hundreds of practitioners and managers who gave the model the test of fire.

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.