Adaface Sample Google AdWords Questions

Refer to the images of the three different ads (Ad A, Ad B, and Ad C) provided. Each ad varies in terms of Quality Score, bid amount, and the use of ad extensions.
            
            - Ad A has a Quality Score of 6, bid amount of $3, and uses no ad extensions.
            - Ad B has a Quality Score of 7, bid amount of $2, and uses a sitelink extension.
            - Ad C has a Quality Score of 8, bid amount of $4, and uses both sitelink and callout extensions.
            
            Considering the information and the appearance of each ad, which ad is likely to have the highest Ad Rank and the most significant enhancement in Click-Through Rate (CTR) due to the use of ad extensions?

Imagine overseeing a campaign for a newly launched online store specializing in sustainable products. The following are two different ad previews with their associated statistics:
            
            Ad 1:

Statistics for Ad 1:
            
            - CTR = 2.8%
            - Conversion Rate = 5.5%
            - Average CPC = $1.8

Ad 2:

Statistics for Ad 2:
            
            - CTR = 3.2%
            - Conversion Rate = 4.5%
            - Average CPC = $2

After A/B testing, you notice that removing “Free Shipping on Orders Over $50” from Ad 2 decreased the CTR by 0.5% but increased the Conversion Rate by 1.5%. Removing “Shop Now and Make a Difference!” from Ad 1 had no significant effect on the CTR but increased the Conversion Rate by 0.8%.
            
            Given this, what specific aspect should be focused on for optimization to potentially enhance both CTR and conversion rate?

A: Reinstate “Free Shipping on Orders Over $50” in Ad 2
            B: Remove “Shop Now and Make a Difference!” from Ad 1
            C: Add a price incentive to Ad 1
            D: Add product categories to Ad 2
            E: Add a limited-time discount offer to both ads

You are analyzing a detailed quarterly report for a Google Ads account that manages campaigns for three distinct product categories: Electronics, Home & Garden, and Apparel. The report includes various metrics such as CTR, CPC, CPA, ROAS, and Conversion Rate for each category. Here are the details:
            
            - Electronics:
                - CTR: 2.8%
                - Average CPC: $1.2
                - Total Conversions: 340
                - Total Conversion Value: $102,000
                - Total Spend: $40,800
            - Home & Garden:
                - CTR: 3.5%
                - Average CPC: $0.85
                - Total Conversions: 250
                - Total Conversion Value: $50,000
                - Total Spend: $21,250
            - Apparel:
                - CTR: 4.2%
                - Average CPC: $0.65
                - Total Conversions: 480
                - Total Conversion Value: $72,000
                - Total Spend: $31,200
            
            Calculate the Conversion Rate (CR) for each category and determine which product category is underperforming considering the ROAS and CR, and what possible steps can be taken to optimize it?

A: Electronics, consider reducing the CPC and refining the target audience.
            B: Home & Garden, consider increasing the budget and using more targeted keywords.
            C: Apparel, consider reducing the CPC and refining the target audience.
            D: Electronics, consider increasing the budget and using more targeted keywords.
            E: Home & Garden, consider reducing the CPC and improving the ad creatives.

Your e-commerce website recently launched a Google Ads campaign for a new line of products. After a month, you analyze the conversion data and notice that a significant number of conversions are not being tracked. You are using the last click attribution model. You find that most of the missed conversions are coming from users who clicked on your ad, left, and then returned to make a purchase within a week.
            
            Given this situation, how should you modify the conversion tracking settings to ensure that all conversions are accurately tracked?

A: Change the attribution model to first click.
            B: Extend the conversion window to cover a longer period.
            C: Switch to a time decay attribution model.
            D: Set up a new conversion action specifically for these products.
            E: Change the attribution model to a linear model.

You are working on a campaign for a local pet store. The store primarily sells pet food and accessories. After a month, you notice that while the clicks are high, the conversion rate is very low. The broad match keyword "pet food" triggers your ad for search queries like "pet food recipes", "homemade pet food", and "pet food challenges". You also observe that the Quality Score for the keyword "pet food" is low due to a below-average expected CTR.
            
            Considering the above observations, which of the following changes would most likely help in improving both the conversion rate and the Quality Score for the keyword "pet food"?

A: Change the keyword match type to exact match
            B: Add negative keywords for “recipes”, “homemade”, and “challenges”
            C: Increase the bid for the keyword "pet food"
            D: Add "Buy Now" in the ad copy for a stronger call to action
            E: Change the landing page to the store’s home page rather than the pet food product page