Answer: Remain Pleasant and positive, and let them know when you’ll make a decision
Explanation: just took the test
Answer:
A gain of $950,000
Explanation:
The computation is shown below:
= ($83 - $53) × 10,000 bonds + ($100 - $83) × 10,000 bonds + ($148 - $100) × 10,000 bonds
= $300,000 + $170,000 + $480,000
= $950,000
Hence, the first option is correct
Answer:
Cognitive dissonance techniques are difficult to implement on a mass scale.
Explanation:
Cognitive dissonance refers to a state of operation of conflicting views and ideas in the mind, at the same moment. Usually those contrasting views are difficult to reconcile.
A marketer targets consumer's state of cognitive dissonance by advertising and touching upon those product attributes which create a dissonance between a consumer's perceived idea of the product and what the advertiser depicts.
This state of perceptible conflict in the ideas leads a consumer towards it's reconciliation and induces a purchase.
For example, a salesperson advertising an expensive watch as, a product only purchased by "royal" social class. Now, the consumer though considers the product to be too expensive. But now, he thinks of the royalty aspect, which may ultimately induce him to buy such a product.
Such techniques can only be implemented to induce sales at individual level or targeted at few customers. Wherein the customers are huge, the conflict or cognitive dissonance gap would be huge, which the marketer will not be able to bridge.
Too many data collection channels could lead to several disparate customer sources, poor data quality, and an overwhelmed data crew.
To solve for multiple data collection channels, think about centralizing your data collection management methods by appointing a go-to data handler and systematizing your data collection strategy across departments. Your data handler can be the point of contact for data collection, ensuring data quality practices are upheld while focusing on the long-term goal.
Poor contact data
Your first challenge with loyalty programs: Get the customer to sign up. Factors such as the amount of time it takes to enter in their information and how personal the information required is, all impacts the consumer’s willingness to sign up. Not enough customers signing up understandably results in a more difficult time reaching these customers. However, sign ups mean zilch if contact data is inaccurate, as that also results in the inability to reach customers.
Solution: Implement a data quality solution. Our latest Global data management report found that the biggest ways poor data quality impacts retailers are wasted resources (45%), damages the reliability of analytics (39%), and negatively impacts reputation (35%). Whether you want to use data quality for predictive analytics to optimize consumer experience or implement a data cleansing tool, like address or email verification, taking control of your data will equip you with actionable and real-time insights.
3. Not having a data-driven culture
There is a sharp correlation between increased company profits and the amount of data quality solutions that are put in place. Not emphasizing data quality in your business can cost you far-reaching consequences, such as customer engagement, loyalty, and revenue.
Solution: Data quality should be prioritized as a key business focus. Loyalty programs need to be built on a solid foundation of data, but what does a good data foundation look like?
• Cleaning your existing data.
• Consolidating and deduping records.
• Ensuring newly collected data is accurate before it enters into CRM and other systems.
Reliable, clean data represents an opportunity to better understand your customers, drive actionable insights and optimize customer or prospect experience. When loyalty programs are the key to increasing revenue, customer retention, and lifetime value, you want to make sure your data quality initiatives are up to par.
Answer:
C. laws and modern management attitudes minimize the possibility of unsafe working conditions and unfair treatment of workers found in earlier eras.
Explanation:
Throughout the history, labor unions have been formed to protect the rights of labors. The reasons behind the formation of these labor unions were;
Unavailability of labor laws
Unsafe working conditions
Poor attitude of management
low wages etc
Therefore, critics claim that in the modern times there is no need for labor unions because labor laws has been created and implemented in order to safeguard the rights of labors. Regulatory authorities have been formed to ensure safe working conditions. With the passage of time, the attitude of management has changed a lot and they are now much more considerate towards their employees and treat them as equal beings in contrast to old times.