After the sale, salespeople should only follow up with the buying center members who are directly involved in the use of the product.
The members of the buying center will be responsible for making decisions regarding variables that allow the monitoring of factors such as:
- Direct buyback
- New task
- Modified buyback
- Product type
This monitoring will help to understand consumption and satisfaction trends so that the purchase and sales strategy is carried out more effectively and aligned.
Therefore, salespeople should follow up after the sale only with buying center members, who will provide them with guidance to make more sales of certain most consumed products.
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Answer:
d) $300
Explanation:
<em>Marginal revenue is the extra revenue from a resource the extra revenue earned from the use of additional unit of a given resource for production purpose. It is calculated as the increase in total revenue as a result of utilizing one additional unit of a factor of production.</em>
Marginal revenue = total revenue from 85 units - total revenue from 70 units
Marginal revenue = ($20 × 85) - ($20× 70)
= $300
Answer:
The answer is "Choice D".
Explanation:
FedEx Express has developed or continued being a pioneer in high level, providing quick, which remains the global leader offering quick, efficient, or timely delivery to even more than 220 countries that connect more than 99% of the world's largest gross national product with markets, that's why the Two customers are in Wisconsin for Mighty Manny. Mighty Manny accepts phone orders or ships products via FedEx to its customers.
Answer:
A. €1,244,212.10
Explanation:
Contract Size Country U.S. $ equiv. Currency per U.S. $
£ 10,000 Britain (pound) $ 1.9600 £ 0.5102 interest APR
12 months forward $ 2.0000 £ 0.5000 rates
€ 10,000 Euro $ 1.5600 € 0.6410 i$ = 1 %
12 months forward $ 1.6000 € 0.6250 i€ = 2 %
SFr. 10,000 Swiss franc $ 0.9200 SFr. 1.0870 i£ = 3 %
12 months forward $ 1.0000 SFr. 1.0000 iSFr. = 4 %
Answer:
behavioral targeting
Explanation:
It must allow us to segment our users based on variables related to their behavior such as the number of visits you have made in our online store, what products you have purchased, which controlled categories, whether you have registered as a user or not, etc.