You can see that non-app transactions have the same dropout rates. Considering that Instagram ads, online ads and Google search all redirect to the website for final product selection and payment, 97.5% seems to be the average dropout rate for the website. Now, to tackle this problem, you gathered data regarding the dropouts at each stage of the process. Stage Top of the funnel PurchaseProduct loaded on the device 22000 21500Customisations to the product made 21500 14500Add to cart 14500 10500Delivery address added 10000 7000Payment done 7000 700Returns and payment failures 700 550 Which of the following stages has the most dropouts?Returns and payment failuresDelivery address addedCustomisations to the productAdd to cart

Consider the following table that shows the comparison of people who have visited the website and those who have completed the purchase from different channels. Dropout rate is defined as the number of people who do not complete a particular transaction.  Channel Top of the funnel PurchaseApp 20000 800Instagram 8000 200Online Ads 10000 250Google search 4000 100Which of the following has the least dropout rate?AppInstagramOnline AdsGoogle Search

If by comparing Google Ads data with offline data you find a difference in the number of sign-ups for ads between the two sources, and you believe the issue lies with when a conversion was counted, what's the likely source of that data discrepancy?It's probably due to the fact that Google Ads reports conversions against a unique ID of the event that led to the click. Depending on the other data source, it might use the click of the conversion itself.It's probably due to the fact that Google Ads reports conversions against the date/time of the click that led to the conversion. Depending on the other data source, it might use the date/time of the conversion itself.It's probably due to the fact that Google Ads reports clicks against the date/time of the event that led to the conversion. Depending on the other data source, it might use the click of the conversion itself.It's probably due to the fact that Google Ads reports views against the device type of the view that didn't lead to a conversion. Depending on the other data source, it might use the date/time of the conversion itself.

What is the percentage of customers who visit a Web site and actually buy something called? A. Click-through B. Conversion rate C. Spam D. Affiliate programs

You're trying to determine how effectively your ads are driving online sales and generating leads through sign-ups, and you compare your Google Ads data with your offline data. That's when you see a difference in the number of sign-ups in Google ads vs. your offline data source. Assume everything is working properly and the issue lies with when a conversion was counted.What would you say is causing this data discrepancy?You'd say that Google Ads reports clicks against the date/time of the event that led to the conversion. Depending on the other data source, it might use the click of the conversion itself.You'd say that Google Ads reports conversions against a unique ID of the event that led to the click. Depending on the other data source, it might use the click of the conversion itself.You'd say that Google Ads reports views against the device type of the view that didn't lead to a conversion. Depending on the other data source, it might use the date/time of the conversion itself.You'd say that Google Ads reports conversions against the date/time of the click that led to the conversion. Depending on the other data source, it might use the date/time of the conversion itself.

Mr. Cuomo is considering two internet retailers for his investment. He is a conservative person and is concerned about the impact of the change of future sales on the profitability of the two retailers. However, the future sales of the two retailers are influenced by market and economic factors and are difficult to predict. Two internet retailers have the following financial data this period (in Millions): ILoveShopping.com All-Online.com Sales $120$186 Variable costs 70150 Fixed costs 3024 Net income $20$12 Which of the statements is TRUE?Group of answer choicesILoveShopping will have a smaller loss in a market downturn.The net income of ILoveShopping is less influenced by changes in sales.The net income of All-Online is less influenced by changes in sales.Mr. Cuomo likely prefers ILoveShopping because the total cost is smaller