I've been using Google Analytics very successfully for measuring apps. We learn a lot from the data. There's just one thing that I can't find any information about and that's the metric 'time on site'. It does measure something, but in my opinion time is often too long for average usage.
Can anyone explain to me if these data mean:
the time:
from opening app till going to background
from opening app till really terminating
Something else?
Many thanks in advance!
Greetings from Holland,
Sonja Kamst
Time on Site: Time on site is one way of measuring visit quality. If visitors spend a long time visiting your site, they may be interacting extensively with it. However, Time on site can be misleading because visitors often leave browser windows open when they are not actually viewing or using your site.
The average duration of visits (sessions) for the selected time frame. Session time is calculated by adding up time on page for each page in the session except for the last page in the session. The average time on site is determined by dividing the total time on site by the number of sessions for the selected time frame.
Calculations do not include the amount of time that visitors spend on the last page in the session, because there is no way to determine how long the visitor spent on the last page.
To illustrate, assume there are 3 visits (sessions) for the day, and you want to know the average visit duration for that day. Let's assume the three visits look like this:
Page 1 (10:00 a.m.) --> Page 2 (10:05) --> Page 3 (10:06) --> Exit
Page 1 (9:00 a.m.) --> Page 2 (9:01) --> Page 3 (9:06) --> Exit Page
1 (2:00 p.m.) --> Page 2 (2:15 p.m.) --> Page 3 (2:16) --> Exit
In each of these sessions, it is possible to use the time stamp on the subsequent pages to calculate the time spent on pages 1 and 2 (5, 1, and 15 minutes respectively). However, it is not possible to calculate how much time the visitors spent on the last page in the session, because there is no data available to Analytics that indicates when the visitor left.
In this example, the calculations would be:
Total time on site: 21 minutes
Average time on site (21/3): 7:00
from http://support.google.com/analytics/bin/answer.py?hl=en&answer=1006253
The time it measures is from opening the app to actually terminating it. So, for instance, if the app is maintained in a background state and you haven't included logic to end the session, your time in app numbers will be artificially inflated if/when it's brought back into the forefront.
I can't speak to the specifics of monitoring an application state, but there is some info on time on site issues for iOS here on SO:
Why are my iOS app's session lengths 30 min + in Google Analytics?
Related
I m boosting my website performance . I'm testing my website page speed with Google PSI. I've done maximum correction and i'm getting 90+ score in PSI . All lab data attributes are green . But Field data is still not being updated. I m just wondering, how long Google page speed insight take to update the Field data. also, If Fields data will update, then it will be same as the Lab data ?
Page Insight Screenshort
The data displayed is aggregated daily, so the data should change day to day.
However the reason you do not see the results of any improvements you make instantly is because the data is taken over a rolling 28 day period.
After about 7 days you should start to see your score improve, in 28 days the report data will be reflective of changes you made today.
Because of this delay I would recommend taking your own metrics using the Web Vitals Library so you can see the results in real time. This also lets you verify the changes you made work at all screen sizes and cross browser.
Either that or you could query the CrUX data set yourself on shorter timescales.
I want to retrieve all stocks from few exchanges - by retrieve the stocks that inside those exchanges (by taking from http://www.nasdaq.com/screening/company-list.aspx).
And then I will quote for all stocks from google or Yahoo.
My question is if I will quote all of them for every 5 seconds or 10 seconds - will they block me?
What is the correct way for getting all stocks and they updated data?
Thanks!
David,
tl;dr - yahoo finace is OK (scraping 2,000 stocks) if you insert pauses in your code
I have some clumsy, but working code (my first attempt at scrapping) that pulls some data from Yahoo Finance. While I don't like the code and I will rewrite it for nasdaq.com in following weeks, I can tell you that I'm not getting blocked.
I have a few years old list of stocks for Russel 2000 so there are around 2,000 tickers I'm slowly going through and pulling some data from balance sheet. I'm using Selenium (see my question history, there is only one to see/get working code), code loads Chromium web browser (Linux) clicks on Balance sheet, scrape some data, clicks quarterly link, scraps more data and then closes the browser. For every ticker (stock).
Just to be on a safe side, I put several pauses into my code, for every scrap or navigation on site I added between 5 and 10 seconds. That way I'm slowly scraping data and Yahoo seems to be OK with this :-) It takes about one minute per ticker. I'm running this scrap job (for the first time!) now for over 30 hours lol and I'm currently at ticker that starts with T so I have few more hours to go.
I have read somewhere that some sites can spot this slow scraping also. So as an idea, instead of just hard code pause of say 7 seconds, you could run random number generator between IDK, 7-15 seconds and that way pauses will be more random and less prone to be spotted... Just a though Hope this helps a little bit even if with delay.
Ah, and if this answer does help you, please be so kind to mark it as solved and up vote it. Maybe I can get a point or two for it. My points are so low I can't even vote other posts that I like and that helped me.
Say, I use stripe subscriptions for my users with one plan which is $10 per month for 100 API requests and that's the standard price. However, if the user has used 150 API requests, I charge them $3 more on top on $10. For 200 and more requests it's total of $17.
Say, I've subscribed the user on October 9th. On November 9th they will be charged again by Stripe. When should I "freeze" the amount of the APIs the user has used during the month to calculate the overall price and start counting from zero again for the new period of November 9th - December 9th?
As far as I'm concerned, it's either on payment.success or invoice.success event in my stripe web hook controller. However, I think it's not reliable because:
Which one is it exactly - payment.success or invoice.success - the one I need? They occur both, as far as I know sometimes payment.success occurs first, sometimes - invoice.success and it's unknown which one occurs first in each particular case.
Theres's the time period between these 2 events, I don't know how long exactly, probably a few minutes. But during those few minutes the user might consume at least one Invoice
I'm not sure if it's guaranteed that for each user the events payment.success and invoice.success occur only once per month. Do they really? If not it's even less reliable to use them to achieve my goal.
invoice.created event occurs 1 hour before the Invoice is closed.
Um. Why wouldn't it be the moment your user clicked 'BUY'? The fact it took an hour/day for payment to be received isn't relevant is it? Think about iOS apps. I can buy the app right now, but most of the time I don't get an invoice from Apple for several days (even a week sometimes).
I think you're going to be frustrated trying to time it to events from your payment provider. IMHO that should be done within your app.
I want to analyze data for an account signup process on my web site. I'm using SiteCatalyst for web tracking.
I've set up a Fallout report with the 3 pages that makes up the signup process. In this report I can see how many visitors that I'm losing in every step and a "Total Conversion" and "Total Fallout" at the end.
I would like to plot the Total Conversion as a trendline over time. Is that possible?
I would also like to plot another version of Conversion, where the rate is the number of visits on the last page of the signup process but divided by the total number of visits to my site.
Thanks
Mike M
Yes you can. You need to trend a success event or a calculated metric though - so make sure that you've got an event being set or calculated when the conversion occurs. You can then trend the metric over time.
Tim
Thanks in advance for the assistance. I recently ran into an issue with a clients app using Flurry Analytics. There is a maximum number of 300 events that can be tracked (each event can have a total of 10 different paramaters) I need to track more then 300 events for this client.
Does Google Analytics have a maximum number of events that can be tracked?
(the reason for the high number of tracked events for those who are curious is because the client has a database of about 15000 products, and wants to know how users are interacting with the products, additionally they want to track the search terms that users are searching for, thus the need for a HUGE number of events to be tracked....)
There is a limit of 10 million hits (could be events, page views etc) per month. Read specifics at https://developers.google.com/analytics/devguides/collection/gajs/limits-quotas. This is the free version. The Premium version supports higher data limits. https://www.google.com/analytics/360-suite/#?modal_active=none
There is also a 10 event (_trackEvent) limit over a 5 second period.
Thought it might be helpful to clarify, considering the changes that Google made in Oct '12.
https://developers.google.com/analytics/devguides/collection/other/limits-quotas
10 million hits per month per web property - If you go over this limit, the Google Analytics team might contact you and ask you upgrade to Premium or implement client sampling to reduce the amount of data being sent to Google Analytics.
...
ga.js or Legacy Libraries
This applies to ga.js, mobile snippets and any other legacy tracking library.
500 hits per session not including ecommerce (item and transaction hit types)
If you go over this limit, additional hits will not be processed for that session.
...
ga.js
Each web property starts with 10 hits that are replenished at 1 hit per second. Applies only to event type hits.
analytics.js
Each web property starts with 20 hits that are replenished at 2 hit per second. Applies to All hits.
Android SDK
For each tracker instance on a device, each app instance starts with 60 hits that are replenished at 1 hit every 2 seconds. Applies to All hits.
iOS SDK
Each property starts with 60 hits that are replenished at 1 hit every 2 seconds. Applies to All hits.