Introduction:
To begin, you may be wondering what Digital Analytics even are. In this blog, we will be covering a basic term of digital analytics, going over some examples, and how to present your findings. Digital Analytics is the process of gathering product data based on digital sources and using that data to improve marketing strategies.
Examples of Digital Analytics:
Average Page Load Time- This is the average amount of time it takes for the page to load. This is important because fast load time is what keeps consumers coming back to the site.
Return on Ad Spend- This is the amount of revenue earned for each dollar spent on a campaign.
Cost Per Click- This is where an advertiser pays a cost for every click on an ad. This is important to show how often the ads are being clicked and if this method is working.
Bounce Rate- This is how many visitors on a website click off the website after only viewing one page. This is important to know if consumers aren’t finding something attractive about your webpage and to know that the front page probably needs some updating if the bounce rate is high.
Ways to Present Findings:
There are various ways to effectively present your data that can include visualizations, data dashboards, charts, graphs, and even PowerPoints. This helps make the data presented look more professional and relevant. It’s also important to make sure to provide commentary when presenting data, otherwise it may not make sense.
Summary:
Digital Analytics is important to make future decisions about your site. It determines what is or is not working for consumers. If a consumer immediately finds your site unappealing, this could effect sales and other aspects of your company.
