“Google Analytics gives us key insights that help drive the evolution of our product on our mobile App and Desktop. It shows us exactly how people are using our product on each platform.”
- Jeffrey Fluhr, CEO Spreecast
“Conversion for one of our newest products increased 400% after Google Analytic showed us where we could make improvements.”
- Mariam Naficy, CEO Minted
“Google Analytic has reduced our customer acquisition costs by 30%. Our media spend right to our best-performing channels.”
- Daisy Downs, Chief Marketing Officer Urbansitter
These are just some of the highly regarded remarks by high officials who have seen a difference in their business after the use of Google Analytic. So what is Google Analytic that people are speaking so highly of?
Google Analytic is an analytic Web service offered by our very popular Google, and it does exactly what it is named after. It analyzes, i.e., examines how our website is performing. It explores, collects and reports the data about the Website and reports it. It says Website traffic.
It examines it through different methods like evaluating the number of hits, page views, visits, visitors, unique visitors, etc. It also gives us information about the users such as the geographical location of the visitor and what he is looking for on the website. This helps us know about the trend and the improvements our website needs. Google Analytics is the most widely preferred web analytics service.
Now to maximize the benefits of Google Analytic, we could use it as a tool for market research and find out about the preference of the visitor. We can analyze their behavior on our site and know how our marketing strategy is working out. For example, we can find out how our advertising campaign is working out and if it has been successful in drawing the attention of more people than before. We could get a unique idea of how our new campaign is working in comparison to the old one. This market research!
Now for the tech- savvies, here is a little Technical Information:
The fundamental goal of web analytics is to collect and analyze data related to web traffic and usage patterns. The data mainly come from four sources (Zheng, G. &Pelts verger S., 2015):
- Direct HTTP request data: directly comes from HTTP request messages (HTTP request headers).
- Network level and server generated data associated with HTTP requests: not part of an HTTP request, but it is required for successful request transmissions — for example, IP address of a requester.
- Application level data sent with HTTP requests: generated and processed by application level programs (such as JavaScript, PHP, and ASP.Net), including session and referrals. These are usually captured by internal logs rather than public web analytic services.
- External data: can be combined with on-site data to help augment the website behavior data described above and interpret web usage. For example, IP addresses are usually associated with Geographic regions and internet service providers, e-mail open and click-through rates, direct mail campaign data, sales, and first history, or other data types as needed. Implying this tool in our Online business can surely help us know better about our website, our content and our people.
