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Grow Offline Sales Certification Assessment Answers

Grow Offline Sales Certification Assessment Answers

Grow Offline Sales Certification Assessment Answers

Exam URL: https://skillshop.docebosaas.com/learn/courses/8542/grow-offline-sales-certification

Number of questions 50
Minimum passing score 80%

 

 

 

 

Questions:

 

  1. What non-Google Ads signals are used to model store visits?
  2. In which scenario would you use a store-centric approach?
  3. You work on the store marketing team for a small hardware company with 10 franchise locations. Each franchisee has a budget they want to use towards promoting their location and driving in-store traffic. What recommendation would you make?
  4. What information is displayed using location extensions linked through a Google Business Profile?
  5. When is it recommended to use a location extension over a affiliate location extension?
  6. What's a key benefit of Performance Max for in-store goals?
  7. There's an upcoming weekend sale that you want to promote using creatives. What would you recommend?
  8. In which of the industries could a business potentially benefit from Performance Max for store goals? Choose three.
  9. What campaign objective would you set when creating a Performance Max for store goals campaign?
  10. What attribute is required in a local product inventory feed?
  11. What's an action Omnichannel customers take when deciding to make a purchase?
  12. In which two ways is Performance Max for omnichannel goals different from Smart Shopping Campaigns (SSC)? Choose two.
  13. Which location data source requires you to set up an account and link it to Google Ads?
  14. What's the recommended minimum frequency update for the local product inventory feed?
  15. You recently launched a new line of organic protein bars with the plan to sell the bars at a popular big-box retailer. What extension should you use when setting up your Performance Max for store goals campaign?
  16. You own a local apparel store but don't have a product-specific landing page, which is required to run on Local Inventory Ads. Which feature will allow you to advertise your products on Local Inventory Ads?
  17. When a store visit happens, the data is validated through a panel of users who volunteer to participate in Google Opinion Rewards. How many users volunteer?
  18. You want to compare a manual bidding strategy against an omnichannel Smart Bidding campaign. Which method would help you test this strategy?
  19. Which of these is a traditional offline advertising channel?
  20. Besides store visits, what's another input needed to measure store sales?
  21. When might you use an omnichannel shopping campaign approach?
  22. You work at an agency that manages several large retail accounts. One account is a retailer who owns stores and wants to grow online and offline sales. The client isn't sure how their Business Profile, Merchant Center, and Google Ads accounts work together and asks you for clarification. What should you tell them?
  23. What is one automation tool that helps optimize to online and offline shoppers?
  24. The Chief Marketing Officer (CMO) at a large retailer is looking to modernize the current marketing strategy using online and offline KPIs. The teams have historically worked in silos. What are three things the CMO should do when creating a holistic online-to-offline strategy? Choose three.
  25. When would you use an affiliate location extension?
  26. How do you calculate how much a store visit is worth to your business?
  27. What is the recommended budget and time to run your Performance Max for store goals campaign?
  28. After you upload the local product inventory feed and set a feed schedule, what should you do next?
  29. What's a priority for the store marketing or traditional marketing team?
  30. While Performance Max uses machine learning models to optimize many features, which three features will you still need to add manually? Choose two.
  31. What's a benefit of Local Inventory Ads?
  32. What manual input will you need to provide when setting up a Performance Max for store goals campaign?
  33. What may happen if you optimize towards online conversions only?
  34. Which method can you use to determine if an ad drove incremental results?
  35. What's a benefit of pickup later?
  36. Assuming that a shopper interacts with a product or service multiple times online before making an in-store purchase, how should you approach an omnichannel strategy?
  37. What engagement is reported as local actions?
  38. You run the marketing for a small retailer with an existing eCommerce business. They're expanding to 20 stores within the next few months with the goal of growing total sales, both online and in-store. What approach should you take that would assist in achieving their goal?
  39. What is a geo-based experiment?
  40. What are the three Offline Sales approaches? Choose three.
  41. What's a recommendation when setting up a Performance Max for omnichannel goals campaign?
  42. What are three Smart Bidding strategies that can help you optimize to offline conversion actions? Choose three.
  43. What's one way you can engage with your team when developing an online-to-offline strategy?
  44. What is incrementality?
  45. What's a control group?
  46. Which two of the following are requirements to report store visits? Choose two.
  47. What's the purpose of Google Merchant Center?
  48. You own a small bike store and want to learn about your customers' journeys between an ad engagement and an in-store visit. What metric should you use?
  49. How are store visits measured?
  50. You want to try out omnibidding, but there are certain categories that are offline only. What's the recommended omnibidding setup?

 

 

 

 

 

Store visits are modeled using which non-Google Ads signals?

By

Store visits are modeled using which non-Google Ads signals?

  • Interaction with an online ad then a visit to the physical store location
  • Third party vendors that provide data from hundreds of millions of opted-in, signed-in users
  • GPS, Wi-Fi, and network data from hundreds of millions of opted-in, signed-in users
  • Interaction with a location extension or affiliate location extension

 

Explanation:

Google’s vast ecosystem allows for integrated communication across its platforms. This integration yields a holistic view of user behaviors. Key data like GPS locations, Wi-Fi connectivity points, and network signals from a massive base of users who have actively opted in and are signed into their accounts form the backbone of this model. These non-Google Ads signals play a pivotal role in creating a reliable representation of store visits.

 

What might you miss out on if you optimize for online conversions exclusively?

By

What might you miss out on if you optimize for online conversions exclusively?

  • You may miss out on potential customers who watched your ad
  • You may miss out on potential customers who purchase offline only or research online but buy in-store.
  • You may miss out on potential customers who show interest in your product.
  • You may miss out on potential customers who engage across all ad formats

 

Explanation:

When you focus only on online conversions, you risk ignoring shoppers who exclusively make offline purchases. To gain a comprehensive understanding of consumer habits, it’s essential to encompass the entire shopping experience. By including factors like store visits and in-store sales in Smart Bidding, you efficiently harness both online and offline signals. This strategy sheds light on the value of in-store purchases, allowing more informed bidding across all consumer touchpoints.

 

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What’s the role of the control group?

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What’s the role of the control group?

  • It’s a group separated from the rest of the experiment but are still included in the test.
  • It’s a group included with the experiment.
  • It’s a group included with the experiment but are still partialy separated from the experiment.
  • It’s a group separated from the rest of the experiment.

 

Explanation:

The role of the control group in an experiment is pivotal for evaluating the effectiveness of the intervention or treatment being tested. The correct option, ‘It’s a group separated from the rest of the experiment,’ succinctly captures this role. The control group serves as a baseline against which the outcomes of the experimental group, which receives the intervention, are compared. By keeping the control group separate from the experimental group, any observed changes or effects can be attributed to the intervention itself rather than external factors. This separation ensures that the results obtained are reliable and can confidently attribute any differences in outcomes to the experimental manipulation. Including a control group allows researchers to assess the true impact of the intervention and draw valid conclusions about its efficacy. Therefore, the control group plays a crucial role in the experimental design, providing a reference point for evaluating the effects of the intervention and ensuring the validity and reliability of the study’s findings.

 

For which of these situations would a location extension be preferable to an affiliate location extension?

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For which of these situations would a location extension be preferable to an affiliate location extension?

  • When you own your own business and you want to encourage people to visit your location
  • When you sell your products or services at other retailers and want to encourage people to visit the store location
  • When you sell products or services in stores that share the same brand
  • When you sell your products or services to large chain and small businesses

 

Explanation:

The correct answer is : When an advertiser sells products or services through locations they do not own. An affiliate location extension is particularly useful in scenarios where an advertiser sells products or services through locations they do not own directly. This extension allows advertisers to promote these third-party locations where their products or services are available for purchase, effectively driving foot traffic and increasing visibility among potential customers. For example, if a retail brand sells its products through various authorized dealers or resellers, using an affiliate location extension enables the brand to showcase these partner locations in its ads, making it easier for customers to find and purchase their products nearby. Similarly, for service-based businesses like franchises or contractors, affiliate location extensions can be utilized to highlight partner locations where customers can access their services. By leveraging affiliate location extensions, advertisers can expand their reach and tap into new markets by promoting their products or services through a network of affiliated locations, ultimately driving sales and enhancing brand presence across a wider geographical area. Therefore, in scenarios where advertisers sell products or services through third-party locations, an affiliate location extension serves as a valuable tool for increasing visibility and driving customer engagement at these partner locations.

 

For which of these scenarios would an affiliate location extension be useful?

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For which of these scenarios would an affiliate location extension be useful?

 

  • When an advertiser sells products or services through business-to-business commerce
  • When an advertiser sells products or services through a location they own directly
  • When an advertiser sells products or services to other manufacturers
  • When an advertiser sells products or services through locations they do not own

 

You own a small bike store and want to learn about your customers’ journeys between an ad engagement and an in-store visit. What metric should you use?

By

You own a small bike store and want to learn about your customers’ journeys between an ad engagement and an in-store visit. What metric should you use?

  • Store Sales
  • Store Visits
  • Ad Actions
  • Local Actions

 

Explanation:

The correct answer is Local Actions. For a small bike store seeking to understand customers’ journeys from ad engagement to in-store visits, the most relevant metric to use would be Local Actions. Local Actions provide insights into the offline impact of online advertising efforts by tracking actions such as directions requests, phone calls, and clicks to the store’s website. By analyzing Local Actions, businesses can gain valuable insights into how their digital ads influence customers’ behaviors, including driving foot traffic to physical store locations. For a small bike store owner, understanding the effectiveness of online ads in driving local actions like directions requests or calls can provide valuable feedback on the success of their advertising campaigns in generating in-store visits. While metrics like Store Sales and Store Visits are also relevant for assessing offline conversions and foot traffic, Local Actions specifically focus on the intermediary steps between ad engagement and in-store visits, making them particularly suitable for understanding the customer journey in the context of local business interactions. Ad Actions, on the other hand, primarily measure interactions with online ads themselves rather than the subsequent offline behaviors they may influence. Therefore, the correct answer is indeed Local Actions as it directly addresses the metric needed to track customers’ journeys from ad engagement to in-store visits for a small bike store owner.

 

Local actions, available in the ‘All conversions’ column of Google Ads, denote conversions automatically registered when users take actions related to your physical location after seeing your ads. These actions provide insight into how users interact with your store’s details after an ad engagement. By leveraging local actions, you can trace the comprehensive impact of your advertisements, encapsulating the trajectory from an ad click to an in-store visit and subsequent purchase.