Apple is reportedly working on developing a high-end virtual reality headset for a potential sales debut in 2022, per a new Bloomberg report. The headset would include its own built-in processors and power supply, and could feature a chip even more powerful than the M1 Apple Silicon processor that the company currently ships on its MacBook Air and 13-inch MacBook Pro, according to the report’s sources.
As is typical for a report this far out from a target launch date, Bloomberg offers a caveat that these plans could be changed or cancelled altogether. Apple undoubtedly kills a lot of its projects before they ever see the light of day, even in cases where they include a lot of time and capital investment. And the headset will reportedly cost even more than some of the current higher-priced VR headset offerings on the market, which can range up to nearly $1,000, with the intent of selling it initially as a low-volume niche device aimed at specialist customers – kind of like the Mac Pro and Pro Display XDR that Apple currently sells.
The headset will reportedly focus mostly on VR, but will also include some augmented reality features, in a limited capacity, for overlaying visuals on real world views fed in by external cameras. This differs from prior reports that suggested Apple was pursuing consumer AR smart glasses as its likely first headset product in the mixed reality category for consumer distribution. Bloomberg reports that while this VR headset is at a late prototype stage of development, its AR glasses are much earlier in the design process and could follow the VR headset introduction by at least a year or more.
The strategy here appears to be creating a high-tech, high-performance and high-priced device that will only ever sell in small volume, but that will help it begin to develop efficiencies and lower the production costs of technologies involved, in order to pave the way for more mass-market devices later.
The report suggests the product could be roughly the same size as the Oculus Quest, with a fabric exterior to help reduce weight. The external cameras could also be used for environment and hand tracking, and there is the possibility that it will debut with its own App Store designed for VR content.
Virtual reality is still a nascent category even as measured by the most successful products currently available in the market, the Oculus Quest and the PlayStation VR. But Facebook at least seems to see a lot of long-term value in continuing to invest in and iterate its VR product, and Apple’s view could be similar. The company has already put a lot of focus and technical development effort into AR on the iPhone, and CEO Tim Cook has expressed a lot of optimism about AR’s future in a number of interviews.
5 Effective Ways to Run Facebook Ads A/B Tests
Facebook Ads A/B Tests or split tests help them try different versions of ads with various campaign elements. This process helps them arrive at the best version for the organization’s target.
A/B Tests offer a vast pool of resources to try out various versions. You may get caught up and lose your way to arriving at the best version in a limited time. To better understand this topic you can read the Facebook ad testing guide. Here are five effective ways to run Facebook Ads A/B Tests-
1) Start with the minimal number of variables
This approach will help you analyze the impact of a variable much better. The lesser the variables, the better will be the relevant results and more conclusive. Once you have various versions, you will need to run them through the A/B Significance Test to determine if the test results are valid.
2) The second way is to select the correct structure.
There are two structures in A/B tests. One is a single ad test, and the other is multiple single variation ad sets. All the variations will go under one ad set in the first structure. Each variation will be under a separate ad set in the second one. Out of the two, the second one works out to be better and gives better results.
3) Use of spreadsheets is important to stay organized.
These spreadsheets help collect and analyze data to get meaningful insights and arrive at data-backed decisions.
4) Do target advertising and set realistic time goals.
One approach is to choose an entirely new set of audiences. Also, the data pool should be vast and not the same as some existing campaigns. The reason for choosing a different audience is that Facebook may mix up your ads and give contaminated output.
Another approach to choosing the right audience is to pick geography. It works better, especially when you have business in a particular region.
It’s also essential to set a realistic timeline for your testing. Facebook suggests one should run a test for at least four days, but you can choose to run the test for up to 30 days.
5) Set an ideal budget.
The concept of a perfect budget is subjective. But, you can fix it yourself, or Facebook can do that for you based on your testing data. A large part of the test budget is spent on avoiding audience duplication. If the same audience sees variations, it could affect the test results.
Besides these top five effective ideas, you will need to take a few more action points to make the testing process efficient. Make sure you put the website’s domain link and not the landing page link in the ad, as that doesn’t look good. Put appropriate Call To Action Button, such as ‘Learn More,’ ‘Buy Now,’ etc. It’s also important to see how your ad is coming across on various electronic gadgets- mobile, tablets, etc.
Another strategy that works is trying to engage the customer. You may add social engagement buttons such as ‘Like’ or ‘Comment.’ Use high-resolution images as they work better with the customers. Low-quality, highly edited images are often not liked and trusted by the consumers.
You can learn more about the audience behavior patterns with A/B test results. Conducting these tests on Facebook streamlines the entire process and makes it smooth for you. With the test results, advertisers and marketers can work on the creatives they need to utilize.
To sum it up, you can run an effective A/B test campaign within the specified budget. You don’t need to spend massive amounts to get your advertisement right. You’ll make the correct assumptions about the performance of variations with a good understanding of business and consumers.
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