Gone are the days when a single tweak in the content or the title tag was able to get your site to the top of the search results. Google algorithm is now much harder to crack than before. Besides, 75 percent of online users do not scroll past the first page of the search engine results. As you can imagine, this makes the SEO space highly competitive right now and companies can no longer rely on basic techniques. However, you can always make sure that the odds are in your favor by using data science. Whitepaper All About Click Fraud and How You Can Block ItWhat Customers Expect in the Age of AIThe Call Tracking Study Guide for MarketersThe Definitive Guide to Online Listings for Restaurant Brands What is data science? A combination of various tools, algorithms, and machine learning principles designed to unveil hidden patterns using the raw data is referred to as data science. Data science is creating its impression across every domain. As cited by … [Read more...] about How to improve SEO using data science
Analytics vidhya data science
“The measure of intelligence is the ability to change” – Albert Einstein Everything we do now involves different ways of technology that collects data about humans and their behavioral patterns. Decision making these days is data-driven, and thus it is of utmost importance that we don’t just determine how well the strategy worked, but analyze whether the results are significant or not. Over the years, this has led to a more scientific approach to testing, and an increase in demand for technical skills, such as data analysis, statistics, Google Analytics and data science. Although data science skills aren’t necessary to be a Digital Marketer, they will perhaps help us analyze and provide a better understanding of the data, so that we can make data-driven business decisions and, in a way improving marketing strategy and overall performance. Using Data Analysis and finding trends in these fun and clever ways is a perfect example of infusing Data Science … [Read more...] about Association of Data Science with Digital Marketing
Day after day, I’m hearing (and seeing) a common refrain in Seer halls, at conferences, and on Twitter: we love data! The more you have, the better. Keep the new data sources coming. I don’t completely disagree with this (it’s all about big data after all), but I think that by asking for more and more data, we’re ignoring opportunities to “recycle” data we already have to find new and different insights. Think about it–if you’re working at a full-service agency, your overall team may have access to a client’s Google Analytics and Adwords, SEMRush, STAT, HotJar, SurveyMonkey, SpyFu, Twitter Analytics, etc. While you may only look at a handful of tools, your team overall is probably inundated with data that we’re only half using. It’s not the end of the world to not leverage data as best as it could, but what if you could find potential SEO content opportunities that PPC is spending over $165k on that could be a … [Read more...] about How to “Recycle” PPC & Analytics Audience Data for SEO
Throughout the last decade, the life of the modern-day search engine marketer has become centered around data and artificial intelligence (AI) applications.Debates and dialogues around AI subsets, machine learning and data science, and how exactly they affect the workings of the industry continue to multiply.This trend cannot be surprising, though, when taking into consideration:The truly staggering amounts of data we’re creating every minute of every day.And the pace with which we’re doing so is only accelerating with the growth of the Internet of Things (IoT).With everything from clicks to swipes, tweets to likes, we are today compiling information at an unprecedented rate.For companies, all of this data brings new opportunities.Marketers can use the data to:Develop trend recognition.Attract new customers.Ultimately create previously unforeseen efficiencies in their programs.Up until just a few years ago, businesses of all sizes were in a position to decide whether they … [Read more...] about How Data Science Empowers Performance Marketing & SEM
Google made a significant event out of Leap Day 2012 by releasing a new version of Google Analytics featuring Data Sampling. The idea behind data sampling is commonplace in any statistical analysis: in order to get results faster, you analyze a sub-set of data to identify trends and extrapolate aggregate results based on the percentage of overall traffic represented in the sub-set. While I’m not a huge fan of sampling data when not necessary, larger data sets put a significant load on servers and sampling becomes a necessary evil when trying to deliver quick high on high volume data sets. As a result, I’m a fan of how the GA team has integrated data sampling into reporting. On the custom reporting tab there is a new button resembling a checkerboard. Below the button is the sample size. To adjust the sample size, click on the checkerboard button to populate a sliding scale going from “Faster Processing” on the left to “Higher Precision” on the right. … [Read more...] about Google Analytics Now Data Sampling: What’s The Catch?