Google Ads Apps Certification Free Sample Questions

Target ROAS (tROAS) is the ideal bidding strategy when the primary goal is to maximize revenue from in-app purchases. It uses the conversion values passed through the 'in_app_purchase' event to bid for users who are not just likely to convert, but are likely to spend more. tCPI focuses only on acquiring installs, and tCPA on 'first_open' would behave similarly. tCPA on 'in_app_purchase' would value all purchasers equally, whereas tROAS differentiates based on purchase value.

The best practice for optimizing creative assets is to replace low-performing ones with new variations. Simply removing them reduces asset diversity and limits the campaign's reach on inventory that favors landscape video (like YouTube). Pausing the ad group is too drastic. Increasing the budget won't fix a poorly performing creative. The goal is to iterate and improve by providing the system with better assets of the same format.

Image assets in different aspect ratios are required to serve across the Google Display Network and Discover.

Text assets are fundamental and are combined with images and videos to create ads across all networks, including Search and Google Play.

Landscape video is essential for inventory on platforms like YouTube.

This is false. Frequent, small adjustments can disrupt the machine learning algorithm and potentially re-trigger the learning phase or prevent it from reaching optimal performance. The best practice is to make infrequent, more significant changes (e.g., no more than 20-30% change to budget or bids at a time) and then allow the system several days to adapt and stabilize before evaluating performance.

This is the most direct solution. By shifting the campaign's optimization goal to the specific in-app action ('first_deposit') and using a tCPA bidding strategy, the advertiser explicitly tells Google's machine learning to find users most likely to perform that high-value action. While CPI might increase, the cost per depositor should decrease, aligning perfectly with the business goal. Lowering tCPI would likely worsen user quality. An engagement campaign is a good supplementary strategy but doesn't fix the user acquisition problem.

Codeless install tracking for Android is the only method that allows advertisers to track app installs without adding any code (like an SDK) to the app. It works by leveraging Google Play to confirm the installation, making it the fastest and simplest option for tracking Android installs when code changes are not feasible.

The core principle of App Campaigns is to provide a portfolio of assets (text, images, videos) to the machine learning system. The system then dynamically combines these assets in numerous permutations to create tailored ads for different audiences, placements, and contexts. Providing diverse text assets fuels this optimization process, allowing the algorithm to identify the most effective messaging.

App campaigns for engagement are specifically designed to reconnect with existing users and encourage them to take specific actions within the app. This objective, combined with audience lists (like 'users who haven't booked in 90 days') and deep linking, is the correct strategy for re-engagement goals. Install campaigns target new users, and pre-registration is for apps not yet launched.

While granular reporting is a secondary benefit, the primary purpose of setting conversion values is to fuel value-based bidding strategies. By assigning different monetary values to various actions, you provide the necessary data for tROAS to understand which conversions are most valuable and optimize bids to acquire users who are likely to generate more revenue, not just complete an action.

For a new app focused on maximizing install volume within a budget, the 'App installs' objective is the correct choice. The corresponding bidding strategy, Target CPI (tCPI), allows the advertiser to control the average amount they pay for each install, directly aligning with their stated goal and resource constraints. tROAS and tCPA require tracking of post-install events, which may be a more complex setup for a team with limited resources at launch.