A fun challenge that I faced a few days was creating a weekday/weekend day index in Google sheets to count and index the number of weekdays/weekends in a month. This might sound like something easily achieved by placing a static value next to the date based on the preceding index value and day of the week, but the more this process has to be replicated, the more boring and tedious the task will become. This process is simply not for me as I hate manual excel work. As a result, I decided to take some additional time to
A continuation of part one, Better Data Reporting Practices - Gridless, Grouping, Layout Direction. Use Benchmarks This tip should be a given, but if you are not comparing your performance against some historical time series or relevant benchmark metric, then there will be no way for you to understand if your business is growing or shrinking. The decision on what type of benchmark you choose should be dictated by the data types being presented in the report. Some commonly used benchmarks regardless of the data types being used are planned goals, previous time period or trailing historical averages. Just make
One of the most overlooked elements of reporting is data presentation. It is an afterthought compared to core reporting elements like data compilation and analysis largely due to its focus on aesthetics rather than computation. This focus may seem irrelevant to the general purpose of a report, which is to communicate compiled information, but if it is forgotten, then the door is left open to a communication breakdown. If this happens, then it is very likely that misinformed business decisions will happen, voiding the report and potentially hurting a business. In order to prevent this from happening, everything from sheet
Data Analysis for Copywriters from Connor Phillips Slide 3 Why Does Data Matter? Importance Content Data to Observe Acquisition Data Pageview Data Dimensions/Metrics of Interest SEO (Search Engine Optimization) Data to Observe Keyword Rankings Backlink Data Dimensions/Metrics of Interest SEM (Search Engine Marketing) Data to Observe Acquisition Data Quality Score Ranking Dimensions/Metrics of Interest Key Takeaways Slide 4 Why Does Data Matter? Importance Improves Decision Making Accuracy The power of data analysis is that it improves the probability of making successful decisions by examining historical evidence. This evidence comes in the form of quantitative and qualitative data.
A big component of successful marketing in 2016 is having a good content strategy in place. Content strategy is the key to acquiring free users through organic search engine rankings, which is a crucial element of keeping acquisition costs down. We would all enjoy a scenario where we avoid using our checkbooks to acquire users by focusing only on driving organic channel traffic, but in reality it is not as easy as it sounds. As search engine technology has evolved into a generation filled with machine learning search algorithms it has become increasingly difficult to rank organically without publishing content
Connor Phillips is a Senior Marketing Analyst located in New York City. He enjoys digging into data and making data-driven marketing decisions. In his spare time he bartends, works on coding and loves to run.