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As a full-service agency, AMP knows a lot about a lot of things. So, we asked AMPers to share their thoughts on the most monumental moments in their respective capabilities in 2013. Read their insightful thoughts below. Search: Google Hummingbird In 2013, Google released a major search algorithm update for the first time in a long time, making it the most monumental change to happen in Search within the last year. The algorithm update, called Hummingbird, focuses on understanding a searcher's intent rather than the keywords they've used. By better understanding a searcher's intent, Google can present more relevant search results to the user, which has always been the end goal. In addition, Hummingbird is designed to better understand synonyms, long-tail queries, and full on questions such as, 'How do I sew this hole in my pants?'? While Google says that brands will be unlikely to notice a shift in rankings based on the Hummingbird update, this change is monumental in that it gives search marketers fuel to focus on several opportunities moving forward, including: long-tail & keyword synonym targeting, onsite content expansion to address new queries, and optimizations for the mobile web to better target long-tail queries entered via voice command. The release of Hummingbird will help search marketers drive home the importance of high quality content creation, which is a priority for AMP. Display: Programmatic Buying Display advertising is dynamic and constantly evolving. One of the largest shifts in 2013 was the adoption of programmatic buying. Programmatic buying allows for auction-like buying of a specific audience by analyzing a multitude of data points to decipher the right ad, the right person, the right time. Although programmatic was not introduced in 2013, it sure caught on this year - changing how media planners purchase their media. Whether purchasing programmatic through a partner or directly on platforms such as Google Bid Manager, it's estimated that 28% of 2013 US ad spend was on RTB according to eMarketer, Measurement & Analytics: Integration The moves by big web analytics vendors to provide a holistic view of digital marketing channels was the biggest change in measurement and analytics. This shift allowed marketers access to a range of features and solutions that helped to tell the integrated online story. Google released Universal Analytics out of beta. Universal Analytics utilizes the new Measurement Protocol to process disparate data. The Measurement Protocol allows integration of data from website, apps, web properties, ecommerce, and offline logged interactions to be tied together. This takes Google Analytics from being a web analytics tool to being a business intelligence solution. Adobe has also made strides in integrating data sources through the Adobe Marketing Cloud, available to all advertisers in 2013. The Adobe Marketing Cloud encourages users to use all the solutions available through Adobe for a more holistic view of marketing efforts, not just the Adobe Analytics (formerly SiteCatalyst). Social: Native Advertising Going into this year, we talked about what social would mean for brands. The key takeaway of the POV was that at its core social is about telling stories. This statement underscores the way the landscape shifted over the past year. While we anticipated a shift toward monetization, the most monumental change was how that monetization took shape in the form of sponsored stories/posts. Facebook, Pinterest, and Instagram all introduced sponsored posts that seek to provide maximum value to both brands and consumers. Overall, 2013 was the year of personalization. According to our VP of Account Management, Pamela Neville: The most monumental change I have noticed this past year is around targeting and messaging. From Facebook paid ads to email to display, I am constantly impressed with a brand's ability to target me personally with products I actually want to buy. Nordstrom and Zappos come to mind from a re-targeting perspective. And, Nike comes to mind from an email/CRM perspective. They each have a knack for bringing me back to their respective sites and cross-selling or up-selling me various products. I care less about the invasion of my privacy and rather value the speed with which a brand can get me from awareness to shopping cart. Now that you know our thoughts on 2103, keep your eyes peeled for our upcoming post on advertising and marketing predictions for 2014. Blog Post Contributors include: Michelle Gilbert, Christina Wong, Andrew Ricker, Rachel Lawton and Pamela Neville.
Any true quantitative approach requires a large collection of relevant data points which can then be leveraged strategically and potentially statistically in order to create actionable insights. In the case of event marketing, a strategic approach is required. Data must be collected from numerous sources across many events throughout the year and beyond in order for it to be actionable. These data points should come from a combination of sources: Pre-Post Surveys The most obvious is the event survey. If the survey questions are structured strategically, they can be used to collect important quantitative data. Questions that measure brand health, recall, purchase intent, attitudes and impact can be merged with other data sets to create an actionable database. RFID Tracking/Check-in RFID codes as well as check in points can quantify attendees at certain areas of an event. Other tracking tools such as multi environment tracking in Google Universal Analytics (in which you map offline actions into various Google Analytic fields) can also be implemented. The task of introducing and implementing RFID codes and Google Universal Analytics for offline events is not easy and can be expensive, but the data may be invaluable. Social Media and Web Analytics Measuring social media and web metrics such as 'likes'?, 'follows'?, 'shares'? and 'retweets'? as well as website traffic, bounce rates, content popularity and online download rates are a quick and effective way to quantify things such as lift and increased engagement, potentially attributed to the event activation. Data Analysis Once data from the actual event is collected, quantitative researchers can then layer on data from other sources, such as website and sales data, to begin to determine relationships through attribution and predictive modeling techniques. Depending on the validity and robustness of the data set, researchers can use these advanced statistical concepts to not only determine that an event was successful in terms of its impact on sales but also how each part of that event contributed to that success. This information can then be used to optimize future events. Stayed tuned for part 3 of the series on event measurement tips and tricks, in which we will discuss a tactical approach to obtaining qualitative insights from your brand's event.