I was trying to figure out how many page views each of my Ad Words campaigns are generating to my website via Analytic s.
I followed this path: Traffic Sources > Sources > Campaigns. But there I can only see how many visits, pages/visit, avg. time on site, % New visits and Bounce rate.
To find the number of page views I have to multiply the number of visits by the number of pages/visits, right? But I want to know if it's possible to get this number straight away.
Related
I've created goal funnels with a required first step, /cancel. When I look at my pageviews reports, the unique pageviews for the /cancel page differ from the value reported in the funnel visualization for the required step 1. Why?
In the funnel report the number is sessions and not pageviews.
Here are the definitions:
Sessions: total number of Sessions within the date range. A session is the period time a user is actively engaged with your website, app, etc. All usage data (Screen Views, Events, Ecommerce, etc.) is associated with a session.
Pageviews: is the total number of pages viewed. Repeated views of a single page are counted.
Unique Pageviews: is the number of sessions during which the specified page was viewed at least once. A unique pageview is counted for each page URL + page Title combination.
It is important to know that the unique page metric does not closely match the deduplication of the number of times a page has been viewed in a session, as a unique pageview in Analytics is counted for each page URL + page Title combination.
So you can't consider page views because goals talk about sessions and you can't compare these metrics because they are different information with different scope.
when I look in Google analytics under visitors overview there is a line chart that tell me how many users per day I have had. But these numbers does not add up to the ones below that show users, new users, sessions and so on. What does the line chart actually tell me? If I for example export the report to an excel file by day I get a lot higher number of users per day compared to exporting by month which is much lower. Can someone explain the difference. I wanted to know the number of visits to the site per day....
While the trend tells you how many individual users visited the site per day, the "Users" below represents you the de-duplicated count of users who came to the site during the time frame applied.
Example: you visit the same site on 4 separate days during a particular week, the line chart will identify you as a visitor on all 4 days (4 daily users). While the User count below counts you an "one" user for the week.
I have to calculate the conversion rate for an ecommerce website which had no defined goals for a long period of time. Aside that the success page had no distinct url than the order view page.
However I am able to identify a conversion by filtering the order-view pageviews -
where users are redirected after they place an order - by the traffic that came only from shopping-cart page.
Basically I will know an order was placed if the user that reached order view page came directly from the shopping cart page.
So my question is: can I create a goal in google analytics that will compute the conversion rate from these two steps starting with installing Google Analitycs?
Thank you!
In Google Analytics I set a Goal that is a simple URL Destination using a real (not virtual) page url of my site.
The number of Pageviews I can see for this goal in Conversions/Goals/Goal Flow is about 50% of the number of Pageviews reported for the page url (the one I used to set the goal in URL Destination) in Content/Site Content.
I wonder if this is correct and why? Shouldn't the numer of Pageviews in Goal Flow and the number of Pageviews in Content be the same if they refer to the same url? Or, maybe, in Goal Flow Unique Pageview is used?
I think it's because google analytics will track only one Goal conversion per session,
that's why the number of page views is higher then goal conversions.
look at the first answer in this forum, his explanation is good
Hi guys, I was wondering if anyone have the same problem as I do. I have 2 trackers which are Google Analytics and Piwik but after sometime I found out there is a discrepancy. Please read below for more information.
Here is data for yesterday (with New Piwik Last Week v1.7.1 version then).
GGA : 14 803 visits (Unique Visistors)
Piwik : 10 254 visits (Unique Visistors)
31% discrepancy.
Question
What do i have to do to match the records? or which of the statistics is the correct ones?
Any advice would be much appreciated.
Respective to the different programs they are both correct. The difference comes in in HOW they calculate what a unique visitor is. No two stats aggregators work the same.
Google Analytics What's the difference between the 'Absolute Unique Visitor' report and the 'New vs. Returning' report?:
Absolute Unique Visitors
In this report, the question asked is: 'has this visitor visited the website prior to the active (selected) date range?' The answer is a simple yes or no. If the answer is 'yes,' the visitor is categorized under 'Prior Visitors' in our calculations; if it is no, the visitor is categorized under 'First Time Visitors.' Therefore, in your report, visitors who have returned are still only counted once.
Piwik FAQs:
How is a 'unique visitor' counted in Piwik?
Unique Visitors is the number of visitors coming to your website; Unique Visitors are determined using first party cookies.
If the visitor doesn't accept cookie (disabled, blocked or deleted cookies), a simple heuristic is used to try to match the visitor to a previous visitor with the same features (IP, resolution, browser, plugins, OS, ...).
Note that by default, Unique Visitors are available for days, weeks and months periods, but Unique Visitors is not processed for the "Year" period for performance reasons. See how to enable Unique Visitors for all date ranges.
They both use cookies to determine uniques, but both go about it calculating them in different ways. It's apples and oranges when comparing stats packages side by side.
Examine the rest of the stats beyond unique visitors. If there is a wide margin across the board, take a close look at the implementation of both.
If all is well with both implementations, then pick one and go with it for the stats. Overall trends is what you are looking for. Are the stats you want to go up going up? Are the stats you want to go down going down?