Explanation:
The biggest drawback of using only log files is their size, which is far larger than page tags. Management is essential for cleaning, storing, and maintenance. You are the owner of the data in the Log file. That is therefore a benefit rather than a drawback. Again, this is advantageous since error codes may be recognized from one another.
Explanation:
It's confidence. You can only go to Phase II and tailor the reports you're developing to operational business drivers once you have confidence in the data you're gathering, confidence that the data is correct, and confidence that these are the right figures to utilize as KPIs.
Explanation:
The YouTube website, not your website, is where the video "lives," therefore any information you need to know about it will need to be gathered using JavaScript collectors and cookies. Only information about things that "live" on your web server can be found in your web server log files. The two methods of gathering data are fundamentally very different, to put it simply.
Explanation:
The most accurate method is user authentication, which involves having the user log in, although it is less practical than permanent cookies.
Explanation:
Actionable knowledge. Producing data alone won't suffice; you also need to examine the data, speak up in meetings, promote the data inside your organization, and promote the use of web analytics to drive change. Web analytics also involves reporting and making recommendations in addition to measuring.
Explanation:
It is marketing attribution, which quantifies the proportion of an action that can be attributed to having been influenced by a particular marketing strategy. The only problem from the list above that has not been resolved is the problem of attribution, particularly with regard to multi-channel marketing. The remaining options are no longer difficult decisions because analytics tools can now evaluate page/task abandonment, integrate more data, and provide A/B testing results. It's critical to comprehend the capabilities and limitations of analytics technologies.
Explanation:
Data from web analytics won't be precise, thus it shouldn't be interpreted the same way as financial data. Therefore, rather than being used as precise data, web analytics data should be used as trending data and measurements over time.
