I need to check all conversions recorded time from google adwords account.
For example,
if i have totally 3 conversions in all conversions column i need those 3 recorded exact time.
Is that possible to get from our account ?
And is repeat rate will affect the count in all conversions column.
Please help me to check these details
I'm afraid that it's not possible to see/import that into Google Adwords. However, this should be doable in Google Analytics, if you use Transactions and have your own report with multiple dimensions.
See this.
And this.
Related
I've skimmed through the Keywords Performance Report of the API documentation, and couldn't understand whether it would be possible for me to use this report to determine daily keyword costs.
What I want is basically to be able to look for keyword to an API request result and get the cost associated with it. Is such a thing possible? Am I looking in the right place?
Apparently, it's not possible to do so, since all costs on all Display Network items are listed with a special ID (3000000) in costs, meant to capture all GDN displays.
Does anyone know of a way to get view counts broken down by demographic (age/gender) for a for video and/or a channel?
The YouTube Analytics API is only providing that breakdown by percentage (of logged in users), which is great, but our for our requirements, we need the raw counts. And unfortunately, we can't accurately derive the raw counts from the percentage because the api does not seem to give us the number of logged in users, or enough precision.
Any guidance would be appreciated!
Thanks,
Kris
Sorry, I don't believe that we make those raw counts available on either the web interface or the API—I just checked the web interface and it only shows percentages as well. Feel free to file a feature request and I'll see if there's any chance that we could start exposing more details.
Can anyone provide how to get historical options data with strikes by Google Finance API? Mbe Yahoo API can do it?
Thx.
AFAIK, there's no free API that lets you query for historical option prices easily.
Your best shot may be to collect it daily for the stocks you're interested in:
http://www.google.com/finance/option_chain?q=AAPL&output=json
I've never seen free historical option data prices. Neither Yahoo or Google provide them. I downloaded 2012 end of day data from optiondata.net. It includes daily prices, greeks and IV. As far as I can tell it seems accurate. There are several other paid sources out there but I have not tested their data.
I have an iOS app which can be used offline. I need to do anonymous page view tracking, so our customers can tell which pages people are most interested in (to drive future investments). So when the user is offline, we save a timestamped page view list, and if the user happens to be online when they use the app, we send these historic records up, and also do real-time tracking.
I'm keeping some summary statistics in my GAE app, so I can report the page views with historic accuracy. However, I'm also feeding these views into google analytics, using some python code I ported from google's server-side samples.
That all works great (except for language tracking, which I may have solved thanks to a separate question here on SO). However, I'd love for google analytics to be able to understand the historical hits in context. Right now, if I connect up after looking at several pages offline, GA thinks I just popped through a bunch of pages over the course of a couple seconds.
There is no documented utm variable for timestamping. The google analytics SDK for iOS (which I'm not using) has this ominous note:
Known Issues
Possible inaccurate timestamps: timestamps are recorded at the time the application dispatches to Google Analytics, so if a user experiences long periods of offline use, the timestamps may not be 100% accurate.
That seems like a bit of an understatement. Wouldn't offline timestamps be 100% inaccurate?
Anyway, the fact that the SDK doesn't handle this right makes me think I'm not going to be able to solve this. But I figured some SO wizard might have an idea...
In fact, timestamp is a "relative" (client side) information used by Analytics to compute things like "time on page".
When the page is view in "absolute" (date and time) is always the time you send the request.
I plan to write a thesis about using sentiment information to enhance the predictivity of some financial trading model for currency.
The sentiment data should be twitter threads including some keyword, like "EUR.USD". And I will filter out some sentiment words to identify the sentiment. Simple idea. Then we try to see whether here is any relation between the degree of sentiment and the movement of EUR.USD.
My big concern is on twitter data. As we all know that the twitter set up the limit to see the history data. You could only browser back for like 5 days. It is not enough since our strategy based on daily sentiment.
I noticed that google have some fantastic thing like timeline about the twitter updates: http://www.readwriteweb.com/archives/googles_twitter_timeline_lets_you_explore_the_past.php
But first of all, I am in Switzerland and seems I have no such function on my google which is too smart to identify my location and may block some US google version function like this. Secondly, even I could see some fancy interactive google timeline control on my firefox, How could I dig out data from my query and save them? Does google supply such api?
The Google service you mentioned has shut down recently so you won't be able to use it. (http://www.searchenginejournal.com/google-realtime-shuts-down-as-twitter-deal-expires/31007/)
If you need a longer timespan of data to analyze I see the following options:
pay for historical data :) (https://dev.twitter.com/docs/twitter-data-providers)
if you don't want to pay, you need to fetch tweets containing EUR/USD whatever else (you could use the streaming API for this) and store them somehow. Run this service for a while (if possible) and you'll have more than just 5 days of data.