Customer Retention Case Study Assignment Would a logistic regression analysis reveal the keys to improving customer retention? Examine the enclosed results

Customer Retention Case Study Assignment Would a logistic regression analysis reveal the keys to improving customer retention? Examine the enclosed results of logistic regression of Retained on Esent and on Eclickrate, and then discuss the results and make recommendations on how to improve customer retention.Tableau needs to be used. Assignment – Customer Retention
Relay understood that many of its existing customers were not only spending money
with Relay, but were also purchasing some of their grocery products from other vendors
as well. This kind of customer behavior was evident from even a casual examination of
the customer-level purchase data. Some customers purchased from Relay infrequently
and sporadically, so clearly, these customers must be shopping somewhere else during
the interludes between their purchases from Relay. Because customers did not sign up for
a subscription plan, Relay could never be certain if customers stopped purchasing from
Relay (or “churned”) or if they were merely dormant for a while. To overcome this
challenge, Relay used a rule of thumb that classified customers as churned if their
dormancy duration was more than two standard deviations above the customer’s mean
interpurchase time. For example, consider a customer with a mean interpurchase time of
two months and the standard deviation in interpurchase time of three months. This
customer is classified as churned if his or her dormancy duration is more than eight
months.
Churned customers represented a loss of potential profit, and management believed
that this loss was substantial. Yet Relay had not taken the time and energy to fully
leverage its customer-level transaction data—an important customer-relationship asset—
to improve customer retention. Because customers submitted their orders through Relay’s
website, Relay had a large and detailed database of customer orders. Among other
information, when a customer placed an order, Relay knew which customer made the
order and the date and time of these orders. Relay decided to use the customer-level
purchase data to better understand the factors that influenced customer retention. Were
there any distinct characteristics of the retained customers that could instruct Relay about
how to increase the retention of its customers? Now, it needed to dig until it found that
key.
Would a logistic regression analysis reveal the keys to improving customer
retention?
Examine the enclosed results of logistic regression of Retained on Esent and on
Eclickrate, and then discuss the results and make recommendations on how to improve
customer retention.

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