Trắc nghiệm Facebook Marketing Tiếng Anh online - Chương 13
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Câu 1:
In Meta measurement, what is the primary purpose of a Conversion Lift study compared to standard attribution reporting?
💡 Lời giải chi tiết:
According to Meta's measurement principles, Conversion Lift uses an experimental design with a control group to determine the true incremental conversions that would not have occurred without the ads. Kết luận Lý giải: To measure the incremental impact of ads by comparing a test group and a control group
Câu 2:
When implementing the Meta Conversions API (CAPI) alongside the Meta Pixel, what is the critical requirement to prevent duplicate event reporting?
💡 Lời giải chi tiết:
Meta uses the 'event_id' and 'event_name' parameters to deduplicate identical events received from both the browser (Pixel) and the server (CAPI). Kết luận Lý giải: Sending a unique 'event_id' parameter with both browser and server events
Câu 3:
Which attribution model would most likely undervalue top-of-funnel awareness campaigns that do not result in immediate clicks?
💡 Lời giải chi tiết:
According to industry standards, last-click attribution gives 100% credit to the final touchpoint, ignoring the influence of initial awareness ads that shaped the customer journey. Kết luận Lý giải: Last-click attribution
Câu 4:
What does 'Event Match Quality' in the Events Manager indicate regarding the Conversions API?
💡 Lời giải chi tiết:
Event Match Quality measures how well the customer information (like email or phone number) sent via CAPI helps Meta identify which user performed the action. Kết luận Lý giải: The effectiveness of customer information parameters in matching events to Meta accounts
Câu 5:
Which measurement solution is best suited for understanding the long-term impact of marketing across digital and non-digital channels, including external factors like seasonality?
💡 Lời giải chi tiết:
According to Meta's analytics framework, MMM is a statistical technique used to quantify the impact of various marketing inputs and external factors on sales over a long period. Kết luận Lý giải: Marketing Mix Modeling (MMM)
Câu 6:
In an A/B test on Meta, why is it recommended to change only one variable (e.g., creative) between the two versions?
💡 Lời giải chi tiết:
To maintain scientific validity, an A/B test must isolate a single variable to determine exactly what caused the difference in performance. Kết luận Lý giải: To ensure that the results can be clearly attributed to that specific change
Câu 7:
What is the primary function of Meta's Aggregated Event Measurement (AEM)?
💡 Lời giải chi tiết:
AEM was designed as a protocol to support privacy-safe measurement of web events following Apple's App Tracking Transparency (ATT) framework. Kết luận Lý giải: To process web events from people using iOS 14.5 or later devices while preserving privacy
Câu 8:
A business wants to measure how many people saw an ad on Facebook and then purchased a product at their physical retail store. Which tool should they use?
💡 Lời giải chi tiết:
Meta's Offline Conversions tool allows advertisers to upload sales data from their brick-and-mortar stores to match it with ad impressions. Kết luận Lý giải: Offline Conversions
Câu 9:
Which metric in a Brand Lift study measures the estimated number of people who would remember seeing your ad if asked within two days?
💡 Lời giải chi tiết:
Estimated Ad Recall Lift is a key metric in brand studies that quantifies how much the campaign increased ad memorability. Kết luận Lý giải: Estimated Ad Recall Lift
Câu 10:
What is the default attribution setting for most Meta ad campaigns after the iOS 14.5 update?
💡 Lời giải chi tiết:
Meta moved to a 7-day click and 1-day view attribution window as the standard default following the tracking limitations introduced by iOS 14.5. Kết luận Lý giải: 7-day click and 1-day view
Câu 11:
How does Meta define 'Incremental Conversions' in the context of a Lift study?
💡 Lời giải chi tiết:
Incrementality measures the causal lift by subtracting the conversions in the control group from those in the test group. Kết luận Lý giải: Conversions that occurred specifically because the user saw or clicked the ad
Câu 12:
What is the main benefit of using 'Value-Based Lookalike Audiences'?
💡 Lời giải chi tiết:
Value-based lookalikes use customer lifetime value data to help the algorithm find people likely to generate high revenue. Kết luận Lý giải: To find new people similar to a business's most profitable customers
Câu 13:
If an advertiser sees a 'Low' Match Quality score for their Conversions API events, what is the most effective way to improve it?
💡 Lời giải chi tiết:
Match Quality is improved by providing more identifiers that allow Meta to link the server event to a specific Meta user. Kết luận Lý giải: Send additional customer information parameters like email, phone, and city
Câu 14:
What does a 95% 'Confidence Level' in an A/B test result imply?
💡 Lời giải chi tiết:
Statistical significance at 95% confidence indicates a high probability that the results are due to the changes made and not random variation. Kết luận Lý giải: There is only a 5% chance the observed difference happened by random chance
Câu 15:
Which of the following is a 'Standard Event' typically tracked by the Meta Pixel?
💡 Lời giải chi tiết:
Standard events are predefined actions like AddToCart, Purchase, and Lead that Meta recognizes for optimization and reporting. Kết luận Lý giải: AddToCart
Câu 16:
What is the primary role of the 'Meta SDK' for mobile app marketing?
💡 Lời giải chi tiết:
The Meta SDK (Software Development Kit) is essential for measuring app installs and in-app events for attribution. Kết luận Lý giải: To track and measure actions people take within a mobile app
Câu 17:
In Meta Ads Manager, how is 'Return on Ad Spend' (ROAS) calculated?
💡 Lời giải chi tiết:
ROAS is a standard efficiency metric calculated by dividing the conversion value (revenue) by the cost of the ads. Kết luận Lý giải: Total Revenue divided by Total Ad Spend
Câu 18:
Which reporting feature allows you to see how your ads perform across different demographics like age, gender, and region?
💡 Lời giải chi tiết:
The Breakdowns menu in Ads Manager provides granular views of performance data based on delivery, action, or time characteristics. Kết luận Lý giải: Breakdowns
Câu 19:
Why might 'View-Through Conversions' be important for a video-heavy brand awareness campaign?
💡 Lời giải chi tiết:
View-through attribution credits the ad for influencing a purchase even if the user did not interact with it via a click. Kết luận Lý giải: They capture users who saw the ad, didn't click, but purchased later
Câu 20:
What is 'Ad Fatigue' in the context of campaign measurement?
💡 Lời giải chi tiết:
Ad fatigue occurs when the target audience sees the same creative too many times, leading to lower CTR and higher costs. Kết luận Lý giải: A decline in ad performance when frequency becomes too high and users stop responding
Câu 21:
Which tool in the Meta Business Suite allows advertisers to run experiments and see which strategies work best?
💡 Lời giải chi tiết:
The Experiments tool is the centralized hub for running A/B tests and Lift studies within the Meta ecosystem. Kết luận Lý giải: Experiments
Câu 22:
What is the purpose of 'Deduplication' when using both Pixel and CAPI?
💡 Lời giải chi tiết:
Deduplication is the process of identifying and removing redundant event data sent from multiple sources for the same user action. Kết luận Lý giải: To ensure that the same purchase isn't counted twice in reports
Câu 23:
If you want to track a specific URL visit as a conversion without adding extra code, which feature should you use?
💡 Lời giải chi tiết:
Custom Conversions allow advertisers to define conversion actions based on specific URL rules without needing additional code implementation. Kết luận Lý giải: Custom Conversions
Câu 24:
What does 'CPM' stand for in Meta advertising reports?
💡 Lời giải chi tiết:
CPM is a standard metric representing the cost an advertiser pays for every 1,000 impressions of their ad. Kết luận Lý giải: Cost Per Mille (thousand impressions)
Câu 25:
How does the 'Learning Phase' affect measurement accuracy in the first few days of a campaign?
💡 Lời giải chi tiết:
During the learning phase, the Meta system is still optimizing, making initial performance data less indicative of future results. Kết luận Lý giải: Performance is volatile as the system explores the best way to deliver your ad set
