Today, we’re delighted to publish this guest post written by Hugh Kimura, Inbound Marketing Manager at Apptamin. App previews, or video promo, are nowadays essential in any App Store Optimization strategy. In this article, Hugh outlines 7 elements that are crucial to include in your app marketing video. We have worked with many clients over the years to create app videos that help them get more downloads and increase their revenue. In working with these …
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|Store||Category||Version||Last Update||Avg. ratings|
|Android||Libraries & Demo||1.0||November 27, 2014||3.61|
ASO Score & Checklist
- ● App Name
You app name is quite long enough.
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Make sure you have added relevant and strong keywords to optimize your discoverability. Check out our Keywords Analysis to find the best keywords for your app
- ● App Description
The length of your description looks great.
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You have 2592 characters. The Play Store algorithm takes app descriptions into account so don't forget to use relevant and important keywords in your description to increase your discoverability. Use our Keywords Analysis to find the best keywords for your app.
- ● Screenshots
You could add some screenshots.
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We only found 3 screenshots. It is recommended to use all 8 available slots. Make sure to include some text to describe your app on each screenshot. Don’t forget showcase your best features on the first screenshots as they will be displayed in the Search Results on the Play Store.
- ● Versions
Your app is still in the first version. Did you plan any updates? Users love new features.
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Version 1.0 released on November 27, 2014
Version released on January 01, 1970
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The goal of the Eye Loc application is to localize the eye centers of a person the camera is capturing, in real time. It is based on a computer vision algorithm that exploits the chrominance information of the eye and the radial symmetry of the iris in order to localize the eye centers. The algorithm makes use of OpenCV, an open source computer vision and machine learning software library. Face detection is performed using the OpenCV’s built-in face detector. The application works optimally in well-illuminated environments, where images with good contrast levels are captured. If you have any questions, or found a bug, please send an email to the address below.
The Eye Loc application is released to demonstrate the eye localization functionality in handheld devices. Its development was initiated as part of a project to develop a robust eye localization platform based on low cost hardware, with the ambition to integrate its functionality in other applications such as:
• Eye typing
The eye typing feature uses the direction of the gaze and eye blinks to compose messages or perform other actions. The ultimate goal is to assist people with ALS, lock-in syndrome, tetraplegia or any other person that can only move their eyes with using their handheld device to communicate, browse the Internet or facilitate other everyday tasks.
• Smart scrolling
Similar to Samsung’s Smart Scroll feature which currently relies on face recognition and tilt (http://mashable.com/2013/03/14/smart-scroll/), smart scrolling can be further optimized by sensing the change of the direction of the gaze.
• Spoof proof face unlock
The face unlock feature can be usually spoofed using a photo of the owner (http://www.geek.com/android/android-face-lock-feature-spoofed-by-photograph-1440953/). Face unlock can be rendered more reliable by introducing a ‘liveness check’: once a face is verified, the user is required to follow a randomly moving dot with his eyes.
• Estimation of gaze direction for driver assistance
By mounting the mobile phone on a vehicle’s dashboard, a gaze estimation application could monitor and evaluate the driver’s vigilance, by determining whether the driver’s focus of attention is on the road.
• Usability evaluations
Eye movements and fixations provide an indication of the amount of cognitive processing a display requires and hence how easy it is to process, which leads to the potential use of eye tracking to contribute towards the assessment of the usability of user interfaces.
Eye Localization Ranking History | Libraries & Demo
Eye Localization daily app ranking in Libraries & Demo category for the last 30 days.
Eye Localization Worldwide Rankings | Libraries & Demo
Eye Localization rankings per country in Libraries & Demo category.
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This week, we had the great opportunity to collaborate with OpenXcell, one of the pioneers in mobile app development services. Discover the first part of our guest post on the best practices of app localization. Read the rest of this article here. You spent months building an awesome app. You’ve worked hard on your App Store Optimization and your app is selling well in English-speaking countries. However, on the other hand, you’re struggling to drive downloads and your traffic …