Automation continues to be a major conversation in nearly every industry. Digital marketing seems to be at the very forefront of this trend. Account managers have increasingly adopted machine learning based strategies for bidding, targeting, and creative delivery. While the adoption rate continues to increase, some platforms are starting to remove the manual option altogether. Universal App Campaigns (UAC) are a great example of this. This guide will walk you through launching UACs and conclude with a brief performance review.

What is a Universal App Campaign?

A Universal App Campaign, or UAC, is a campaign type that integrates machine learning into every phase of app promotion. Ads are eligible to run across the Search Network, the Display Network, and Youtube. In the past, Search App Install Campaigns relied on keyword targeting and offered an array of bidding options. Currently, UACs execute nearly all of the heavy lifting with the advertiser responsible solely for setup, budget maintenance, and target CPA changes.

Setting Up a Universal Install Campaign

Setup for UAC is impressively simple. To begin, navigate to the add campaign button within the Google interface and click “App promotion”.

Once in the guided setup, you’ll need to choose your mobile app’s platform, either Android or iOS, and find your mobile app using the search bar. From there you’ll need to name your campaign and then you can move forward with ad creation. First, you’ll need to choose your target locations and language. After that, you’ll be able to set your daily budget and your bidding strategy. In the bidding section, you can choose to focus on either install volume or in-app actions. You can then choose to target all users or only users likely to perform an in-app action. From there, you’ll be able to set your target cost-per-install. You’ll click save and continue on to create your ad groups.


Here you can provide up to 5 headlines and 5 descriptions. You can also add up to 20 ad videos (for Youtube), and up to 20 images. As you add images, video, and text you’ll be able to preview your ad on the right. Ultimately machine learning will dictate what combinations of these pieces are shown in response to your audience’s behavior. During this process, make sure to provide as many image sizes as possible to maximize your number of eligible placements. If you opt not to include a Youtube asset you will still remain eligible for some auctions. However, we’ve seen negligible Youtube volume in accounts that made this strategic decision.


Congratulations! You’ve made an app campaign.

Best Practices For Universal Install Campaigns

Best practices for Universal App Campaigns are fairly limited. To be honest, there just aren’t that many levers at an advertiser’s disposal here. Such a lack of targeting options can create issues regarding brand safety considerations. For this, make sure to throw obvious “no-go” sites in your “Account Level Placement Exclusions List” found under the shared library. Beyond that, topic and category exclusions are available on the backend — but you must have the help of an AdWords account representative. The same goes for placement reports which are inaccessible to the individual advertiser without Google support.

Beyond brand safety, success with UAC requires a combination of diligent attention and patience in the machine learning process. Like most automation, performance will likely improve over time with increasing data history. That said, we prefer to launch new efforts with both a conservative budget (roughly 65-75% of actual target) and a conservative target CPA (roughly 20% below goal) in order to avoid inherent inefficiencies in the beginning. When it comes to ongoing optimization, keep in mind that major changes to the budget or target CPA will throw off the algorithm. If possible, avoid making changes to either of these metrics over 20%. Lastly, continually monitor performance. Chances are you’ll eventually see spend limited by budget. When this is the case, lower your target CPA by 10%. Despite AdWords doing the heavy lifting, routine optimizations are still required to find the perfect medium between spend and bid.

Case Study: Analyzing Performance

For one client I work with, the retirement of Search App Campaigns was a rude awakening. Our strategic approach required a large degree of manual processes which can only be replicated in Search App Campaigns. In particular, their extensive brand safety approach made UAC a major risk. Furthermore, Search App Campaigns had outperformed UAC during a previous test. Despite these reservations, a mandatory launch proceeded which was closely followed by impressive results. Over the last two months, UAC outperformed historical Search App Campaigns by 22.60%.

Furthermore, CPI started at an aggregate of $0.60 followed by a drop to $0.40 in December, and $0.30 in January. As the campaign builds history, delivery has become increasingly effective. We see this trend across every single geo we are currently running in.

Month-to-month UAC CPI comparisons

Beyond CPI, the conversion rate is an extremely important metric to keep an eye on for App Install advertisers. While the first month showed a major drop-off in this metric compared to our Search App campaigns, each month since has provided incredible growth to the point that UAC is now performing more efficient.

Month-to-month conversion rate comparisons

One trend to keep an eye on is the % of delivery by network. As previously mentioned, ads can show across search, display, and Youtube. My hunch is that during our previous UAC vs Search App Test, the Search App campaigns were monopolizing most of the search inventory and thus leading to artificially poor performance for UAC. As the graph below shows, an increase in % of delivery within the Search Network directly correlates with our improving CPI and CVR.

Delivery by network CPI and CVR comparisons

Fortunately for our team, UAC has been an incredible success. Diligent budget and bid management have maximized performance, while machine learning has consistently improved


The switch to UAC is not optional. Fortunately for advertisers, Google has done a quality job automating the majority of the process. Once launched, an account manager should be confident that performance will slowly improve in both volume and efficiency. Despite much of the control being removed from the individual, persistent budget and bid management are required to achieve optimal performance. It remains unclear what the future of UAC holds. Will Google open up more control to the advertiser in areas such as brand safety? What steps (if any) can be taken once the algorithm establishes a performance ceiling? I think it’s safe to say this a polished product, yet one that is likely to see updates down the road. If you have any thoughts or questions feel free to connect with me on Twitter @Will_Larcom.

Cover photo courtesy of Jeremy Thompson