Does an App rating (Android / iOS) change with country - rating

I wanted to know if given an app (Android / iOS) can the content rating of the app change with country? can the same app have different maturity ratings for two different countries?

Related

Django - Is it possible to find the mobile device name of users?

As the title suggests, is there any way to obtain the mobile device name (like Samsung Galaxy S10) of the client user? The best I have across is - Django-user_agents but it doesn't fetch that information

Powerbi - Published app isn't visible to customer

I'm beginning with Powerbi and published my first app.
My account is pro trial. After published the app I sended an invite to a test customer ( with an e-mail from outside my company ) . This customer then created a new account with the e-mail that I used, installed powerbi but he can't see the app that I have shared with him. He can access only the demo apps installed with the default Powerbi app.
Any toughts ?
Thank you
I think that your customer needs a pro PowerBi account in order to access to shared reports and shared workspaces.

Tracking Admob fill rate in Ionic 2 app

I am using the floatinghotpot/cordova-admob-pro plugin to display interstitial ads in my ionic v2 mobile app.
The app functions in such a way that an interstitial ad is displayed after the user completes action. The app is working fine and I have been getting some feedback from my users saying that they don't always see the ad displayed when they complete the action.
Is there a way that I can track the fill rate that I'm getting?

Ineligible Submission:how to enhance the rating and user engagement?

What features would have my canvas app to submit application on App Center?
Facebook give me this response:
Ineligible Submission
Your app does not have high enough ratings and user engagement to be eligible for the App Center at this time.
What could I do to enhance my rating and user engagement?
I agree, its not a very helpfull message from facebook, how to get high ratings how much user engagement, they don't tell you this information before you start to write an app!
Some advice from a facebook guy, not me ...
There are no numbers because it is not as simple as you need more than 1000 users and a rating higher than 4. We weigh both user engagement and ratings together with other stuff to try to figure out what a high quality app is.
There are several other ways your can get visibility. Publish Open Graph stories and using Requests are 2 things you can do.

Customer filter for Google analytics: "Mozilla Compatible Agent / iPhone"

For the past 10 days we have been getting about 800 visit/day which Google reports as
"Mozilla Compatible Agent / iPhone."
After doing some reading people seem to suggest that this is when people bookmark your website using a shortcut. Whatever it is, its completely untargeted visits and is causing our stats to be messed up. Bounce rate is 98% and page views are 1.1 from these visits.
I have isolated the 'bad' user agents as follows:
**Bad:**
Mozilla/5.0+(iPhone;+U;+CPU+iPhone+OS+4_3_3+like+Mac+OS+X;+en-gb)+AppleWebKit/533.17.9+ (KHTML,+like+Gecko)+Mobile/8J2
**Good:**
Mozilla/5.0+(iPhone;+U;+CPU+iPhone+OS+4_3_1+like+Mac+OS+X;+en-us)+AppleWebKit/533.17.9+ (KHTML,+like+Gecko)+Version/5.0.2+Mobile/8G4+Safari/6533.18.5
Note that the bad is missing 'Safari' from the end.
How would I go about creating a filter to remove these visits from our Google Analytics?
You would be wrong to filter out those visits from your Analytics - they are real views, you're just not sure of their origin.
I think the post you read about people bookmarking your website is this one:
http://www.google.com/support/forum/p/Google%20Analytics/thread?tid=61e3d404f3c9c2bb&hl=en
The bookmarking thing is a red herring - this is the more likely reason:
If you look at the string returned from the full user-agent analysis it speaks clearly:
Mozilla/5.0 (iPhone; U; CPU iPhone OS 4_0_1 like Mac OS X; fr-fr) AppleWebKit/532.9 (KHTML, like Gecko) Mobile/8A306
It's AppleWebKit.
It means that all those users come from iPhone/iPad apps using embedded functions of browsing by calling AppleWebKit capabilities inside their code.
Like it says above, most iPhone apps contain a browser that uses AppleWebKit capabilities - this is the activity you are seeing on your website.
Here are some likely scenarios:
People subscribe to your blog's RSS feed using an app like Reeder. When they view a post, it records a page view. When they click back on the iOS app, it records a bounce.
Someone shares a link to your site via Twitter. Someone who clicks that link using the native iOS Twitter app. 1 visit, 1 page view, 1 bounce.
Flipboard, Facebook, Google Mobile app, Bing app, etc, etc, etc.
Maybe you can use campaign tracking codes to see which medium (and ultimately which app) is driving the traffic?
UPDATE: here's an article from Search Engine Land on the topic of lost referrer data from mobile apps.
RIP Referrer Data! How Mobile Apps Can Kill Your Mobile Metrics (6 June 2011)
Some parts of interest:
Smartphone apps are innately unable to pass “referring page” information to your site analytics, for the same reason Word docs or PDFs are not recorded as website referrers: they’re separate applications. Even for mobile apps that embed browsers (like Facebook, Google, Twitter, Groupon), there simply is no “referring page” data to pass upon click-through.
If you’re expecting to see this traffic nicely categorized in some analytic report, you’ll be waiting a while. ...
The net result is that your “direct” traffic and sales counts are inflated, and that a sizable percentage of your actual mobile search and mobile social traffic is understated. That means you are likely under-investing in mobile, and giving conversion credit to other channels to boot.
On the Google Search app:
But for mobile organic, you’re out of luck. Not only does Google Analytics not record Google as the referrer, the mobile keywords that drove traffic also go incognito.
Finally:
You can’t manage what you can’t measure. Until you can measure the impact mobile apps are having on your mobile ROI, it’s not difficult to imagine you’re leaving money on the table.
Again, it's not your stats that are messed up, it's your measurement. Filtering out your mobile visitors is a bad idea.