
Eight questions of analytics joy
Authored by RMIT CODE
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8 questions
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1.
MULTIPLE CHOICE QUESTION
5 mins • 10 pts
Which do you think is the primary age group target for this site?
12-17yo
18-24yo
25-34yo
35-44yo
Answer explanation
The models on the home page seem to be aged 18-24yo. It's likely that there are buyers in other age groups, but they are probably not the 'primary' target
2.
MULTIPLE CHOICE QUESTION
5 mins • 10 pts
Look again at the product range on the site.
Which product might you expect to be ordered most in the last seven days?
Answer explanation
Images of the Orchestra MultiBag are featured on the home page in order to influence the purchase decision. But it is not 100% certain that buyers will be influenced this directly
3.
MULTIPLE CHOICE QUESTION
5 mins • 10 pts
The mean retail price of all products on this site is VND 743,400.
We forecast that 12 units will be sold each week.
What is the total retail sales forecast for the last 7 days?
12 stock keeping units.
743,400 VND
8,920,800 VND
Not enough information to make a sales forecast.
Answer explanation
total retail sales forecast = average retail price x SKU sales forecast
4.
MULTIPLE CHOICE QUESTION
5 mins • 10 pts
How do revenue* data for the last seven days compare with your weekly retail sales forecast?
Actual revenue is lower than forecast sales
Actual revenue is higher than forecast sales
Actual revenue is the same as forecast sales.
Answer explanation
FYI ‘Revenue’ is often used interchangeably with ‘sales’ but it can mean something slightly different
5.
MULTIPLE CHOICE QUESTION
5 mins • 10 pts
Based on the difference between forecast sales vs. actual revenue, how should you adjust your long-term pricing strategy?
Because our actual revenue is lower than forecast sales, we should reduce sales price in order to increase the number of items sold
Because our actual revenue is higher than forecast sales, we can increase our sales price in order to improve our profit margin
We don't yet have enough data to make an informed change to our pricing strategy
Answer explanation
For non-FMCG items, usually we need to gather data for more than one week to build a reliable model of customer demand.
[cf. price elasticity of demand]
6.
MULTIPLE CHOICE QUESTION
5 mins • 10 pts
Based on Conversion rate data, how should you adjust your ecommerce strategy?
The conversion rate is favourable. We should continue collecting data and review the rate in 3 months
The conversion rate is too low for a designer accessory. We should build our brand and increase our customer loyalty to improve conversions
The conversion rate is too high for a designer accessory. We need to increase number of visitors even if the conversion rate drops
Answer explanation
Even though actual revenue is close to forecast, the number of visitors is simply too low for this mid-range brand and product. It makes sense to build visitor numbers and widen the possible customer base.
7.
MULTIPLE CHOICE QUESTION
5 mins • 10 pts
Based on the Top products as a % of revenue data, how should you adjust your stock levels?
We should discount the worst-selling product to boost sales because we don't want to be left with unsold stock
We should introduce a seasonal marketing strategy to promote different products at different times of year
We should follow current customer purchasing behaviour and ensure that we have enough stock of the top product sold
Answer explanation
We don't have enough data over an extended time period to recommend options (a) or (b); but these options are possible, depending on your overall strategy
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