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2 years ago

A market segment is ______ if marketers can reach members of the segment with customized marketing mixes.

1 answer:

6 0

A market segment is a subgroup of people or organizations sharing one or more characteristics that cause them to have similar product needs.

<h3 /><h3>Market segment example</h3>

For example, in the fashion industry, a company that designs only female clothing can be said to be focused on just one segment. In this case, the characteristics of the market segment are that they share the same gender and colour preferences. Another example of market segmentation can be seen in the automobile industry. If company A specializes in manufacturing luxury cars demanded by high-worth individuals, they're thus focused on the luxury car segment. Meanwhile, another company, let's say company B manufactures only trucks, often demanded by low to middle-income individuals, they're thus operating in a different market segment.

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<h2>option d Meiosis</h2>

Explanation:

Term Meaning

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dont worry that it is too long

it will come like this only

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3 years ago

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saveliy_v [14]

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<h3>Writting the code in python:</h3>

import sys

class Node:

def __init__(self,key):

self.left = None

self.right = None

self.val = key

self.parent = None

class MinHeap:

def __init__(self, maxsize):

self.maxsize = maxsize

self.size = 0

self.Heap = Node(-1 * sys.maxsize )

self.FRONT = self.Heap

# A utility function to do inorder tree traversal

def isLeaf(self, node):

if node.left == None and node.right == Node:

return True

return False

# Function to swap two nodes of the heap

def swap(self, node1, node2):

node1.data, node2.data = node2.data, node1.data

# Function to heapify the node at pos

def minHeapify(self, node):

# If the node is a non-leaf node and greater

# than any of its child

if not self.isLeaf(node):

if (node.data > node.left.data or

node.data > node.right.data):

# Swap with the left child and heapify

# the left child

if node.left.data < node.right.data:

self.swap(node, node.left)

self.minHeapify(node.left)

# Swap with the right child and heapify

# the right child

else:

self.swap(node, node.right)

self.minHeapify(node.right)

# Function to insert a node into the heap

def insert(self, element):

if self.size >= self.maxsize :

return

self.size+= 1

self.bst_insert(FRONT, element)

current = FRONT

while current.parent != None and current.data < current.parent.data:

self.swap(current, current.parent)

current = current.parent

# Function to print the contents of the heap

def Print(self):

self.inorder()

# Function to build the min heap using

# the minHeapify function

def inorder(self, root):

if root:

inorder(root.left)

print(root.val)

inorder(root.right)

def bst_insert(self, root, node):

if root is None:

root = node

else:

root.next = node

self.FRONT = node

# Driver Code

if __name__ == "__main__":

r = Node(50)

bst_insert(r,Node(30))

bst_insert(r,Node(20))

bst_insert(r,Node(40))

bst_insert(r,Node(70))

bst_insert(r,Node(60))

bst_insert(r,Node(80))

# Print inoder traversal of the BST

inorder(r)

print('The minHeap is ')

minHeap = MinHeap(15)

minHeap.insert(5)

minHeap.insert(3)

minHeap.insert(17)

minHeap.insert(10)

minHeap.insert(84)

minHeap.insert(19)

minHeap.insert(6)

minHeap.insert(22)

minHeap.insert(9)

minHeap.minHeap()

minHeap.Print()

print("The Min val is " + str(minHeap.remove()))

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6 0

1 year ago