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Academy for Ads, New Google Advertisers Digital Training Platform Launched

Becoming a digital advertising expert takes time, but Google’s new “Academy for Ads”, a new digital training platform helping you learn to use Google’s ad products in a mobile-first world.

The courses organized into “Learning paths” can be taken at your own pace, and at the end of each path, you can assesses youself and earn an achievement. “Earning an Achievement for AdWords helps prepare you to take AdWords Certification exam in Google Partners,” or try “deeper education offerings such as AdWords Academy,” google said.

Academy for Ads courses” cover the topics “from AdWords basics and essentials of campaign management to bid strategies, reporting, optimization,” and more ways to successfully advertise with Google, writes google.

In addition to following learning paths, training for DoubleClick clients covering “Bid Manager and Ad Exchange” is also offered, with “more to come.” Learning paths include:

  • Digital concepts offer learning essentials of online ads, including third-party ad-serving, programmatic buying, remarketing, and more.
  • Get started with AdWords helps you learn AdWords basics and prepare for AdWords Certification exam offered by Google Partners.
  • Get started with AdWords Display helping you learn “how you can show ads to your online audience via the Google Display Network,” google said.

Academy for Ads

To get started, Google Partners can sign in at Partners portan, sign up directly at Academy website.

AdMob Native Ads

AdMod’s Native ads are more intuitive, so display them in more prominent positions within apps. They also augment user experience by providing value through relevant ads that flow within the context of surrounding app content.

For example, “mobile-optimized websites now have big buttons and fonts and mobile apps let users scroll up and down or left and right, rather than having to click through to pages they want to view. Native also understands that preserving that user experience is vital to successful advertising,” expalins google.

This is a huge potential opportunity for app developers, here’s a quick overview of how can you use native ads to help boost your UX and monetize your app:

To get started follow these steps:

  1. Sign in to your AdMob account here
  2. Click Monetize tab/All apps/+ new ad unit/Native
  3. Choose you ad sizes, templates and types and customize them to fit within your app’s UI
  4. Finally, drop a few lines of code in your app to request your new native ads.

So where should you start testing? According to AdMob team, you must start to look at design elements on your ad template and how it can impact greater user ad engagement. For example, “a simple variation like changing font sizes (10px to 13px) would lead you to hypothesize that a larger font size will increase user engagement with ad and make the call to action more clear,” explains AdMob team.

Meanwhile, “key metrics to look for would be click through rate, ad revenue, and app exit rates.” Here’re a few example variables that you could test are: “Font size , Image placement within ad, Ad size, and Ad placement within app.”

Interested, you can learn more on creating a native ad, visit this help center, or here.

AdMob Native Ads

A new eBook called “The No-Nonsense Guide to Native Ads”, designed to provide a comprehensive overview of native ads and share practical tips and best practices for implementing native ads in your app is released to download.

In the eBook, you’ll learn:

  • Guiding design principles that will help you better implement native ads
  • Practical tips and best practices for implementing native ads with lots of examples
  • Tips on how to set up a proper A/B test to begin testing native ads
  • How AdMob can help you implement native ads

You can download “The No-Nonsense Guide to Native Ads” guide here.

no-nonsense guide to native ads

Also, today a release of AdWords API v201609. Those still using v201603 or v201605, keep in mind, that they’re now deprecated and “will be sunset on October 25, 2016” and “February 28, 2017”, respectively.

So, stay update, you must migrate straight to v201609.

As with every new version, review all changes in the release notes here.

Also, a few improvements for the API experience including more flexible keys, a streamlined ‘getting-started’ experience, and easy monitoring are introduced today.

Keys are a standard way for APIs to identify callers, Google is making this process simpler by reducing old multi-step process with a single click, “now you no longer need to choose your platform and various other restrictions at the time of creation”, explains google. But the scope management as a best practice is still necessisated:

Additionally, an in-flow credential set up procedure directly embedded within the developer documentation is introduced as well. “Click ‘Get a Key’ button, choose or create a project, and then let us take care of enabling the API and creating a key,” addes google.

Google API key generation process

In addition, a new API Dashboard to easily view usage and quotas is launched as well for developers who use one or more APIs frequently,

In the dashboard, which is front and center in the API Console, “you can view all APIs you’re using along with usage, error and latency data.” Clicking on an “API will jump to a detailed report, where you’ll see traffic sliced by methods, credentials, versions and response code,” google explains (available on select APIs):

Google API Dashboard

In other news, Google also introduced today “Open Images”, a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories.

The dataset is a product of a collaboration between Google, CMU and Cornell universities, and there are a number of research papers built on top of Open Images dataset in the works.

In the dataset, images are listed as having a Creative Commons Attribution license, with “labels cover more real-life entities than 1000 ImageNet classes,” writes google. Adding,” On average, each image has about 8 labels assigned,” google said. For the validation set, “we had human raters verify these automated labels to find and remove false positives.”

The image-level annotations have been populated automatically with a vision model similar to Google Cloud Vision API.

Check the dataset here.

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