Google Analytics Help You Promote and Grow Sales
Google Analytics Help You Promote and Grow Sales – What Americans Think About Facebook, Google, College, Sex and Jobs
When we sought to understand how people think about flash drives we used lots of statistical tools and Google Trends to understand our customers. Let’s see how this works by observing what Americans consistently search for online by using Google Trends, then coupling this with Google Analytics data. What we discover tells us a lot about the American psyche. Ordered by level of interest, we find: Facebook, Google, College, Sex and Jobs. Since 2014, college, sex and jobs have topped the charts.
To see full graphics, read details by viewing the attached Adobe pdf file.
People Who Search for Sex Do Not Search for Jobs-What Americans Think-Facebook-Google-College-Sex-Jobs
Google Analytics & Trends: How We Think: Facebook, Google, College, Sex, Jobs – In That Order
Goolge Analytics and Google Trends are powerful tools for business people looking to increase brand awareness and grow sales.
When we sought to understand how people think about flash drives we used lots of statistical tools and Google Trends to understand our customers. Let’s see how this works by observing what Americans consistently search for online by using Google Trends. What we discover tells us a lot about the American psyche. Ordered by level of interest, we find: Facebook, Google, College, Sex and Jobs. Since 2014, college, sex and jobs have topped the charts. Then Google broke out in late 2007 and Facebook later distanced itself from the pack in 2009:
Over a ten year period, dating back to 2004, we find that the average Google Interest Index to
- Facebook: 39
- Google: 25
- College: 15
- Sex: 15
- Jobs: 10
But of course Interest levels vary over time, so as of July 2014, the Google Interest Index stood
at these levels:
- Facebook: 71
- Google: 53
- Sex: 19
- Jobs: 13
- College: 12
Understanding Correlations: People Who Like Sex Searched Less for Jobs A good way to understand correlations is to look at a scatterplot of data. Here we see the
relationship between online searches for Facebook vs. Google over a 10 year period in the USA, representing billions of searches.
We can see there is a pattern: as Facebook searches increased so did those for Google over the same time frame. We can also see some outliers at the intersection of the 65 to 75
Facebook index level and the 50 to 60 Google index level. Further research found that parity was reached at this point. In other words, the volume of searches for both Internet giants is about equal.
So what does the next chart indicate? As searches for sex increased, jobs searches fell. Or is it that as people lost jobs they had more time to search online for sex? What do you think?
Next, we can look at these patterns with hard data. The chart below is a correlation matrix; the higher the number, the higher the correlation. For example, 82.4 percent of Facebook searches are correlated to Google searches. Directly below the 0.824 figure is a P-value of 0.00, suggesting the likelihood of this correlation being due to chance occurrence is about 0% chance. Understand that correlation is an indicator of association, not causation. In other words, just because there are more storks around the time that birth rates increase, does not mean that storks deliver babies.
An interesting observation is the relationship between College search interest vs. Jobs search interest. This negative 40.4% correlation suggests that while students go to college to get better paying jobs, they are not obsessively focused on getting jobs when they are studying for college. Indeed, we have seen this impact on the unemployment rate. Younger people are spending more time in college, delaying careers and increasing the youth unemployment rate. Of course, other factors beyond college attendance impact youth unemployment as well.
Finally, we present a Matrix Plot which is a scatter plot that looks at more than two variables at a time. If I was in the jobs market industry (recruiting, job search board, etc). I would note the strong associations with Facebook and Google, 66% and 57%, respectively. If I wanted to increase my brand awareness or sales in this industry, I would focus on Facebook Social Media marketing and Google Search Engine Optimization (SEO) methods (e.g., high quality content that my prospective customers would find of value). This would serve the dual purpose of increasing the sharing of that content via Facebook newsfeeds and high Google page ranks that will send free, organic traffic to your website or landing pages.
We will present another post on Google Analytics details to understand how to link your website traffic, conversions and sales to Google Trends. Sneak Peak: working with one company we discovered a 95% correlation with their Google Analytics online sales conversions and Google Trends keyword search index volumes.