Customer experience management (CEM
or CXM) is the collection of processes a company uses to optimize interactions
from the customer's perspective and foster customer loyalty. CXM requires a
company to create a customer-centric strategy that aggregates data from every
possible customer touch-point and moment of truth (MOT).
There are four critical steps to
creating a successful customer experience strategy:
Understand your customer
The first step in building a customer
strategy is understanding customers' needs and behaviors and creating customer
segmentation based on these factors.
Create a customer vision
Once the target audience is identified,
the next step is to create a customer journey map. This helps identify customer
touch-points and anticipate how customers will interact with the product or
service and could help customer retention down the road.
Develop an emotional
connection
This involves creating a brand
personality that evokes emotions and connections for a customer and helps
establish a relationship between the customer and the company.
Capture customer feedback
It is important to measure customer
satisfaction in real time. Customer feedback can help the company track
customer perceptions, enable quality monitoring and measure the success of the
customer experience strategy.
Today, there is more incoming data to
process from more sources than ever before, and this data needs to be
integrated with existing customer account data. The ability to combine customer
relationship management (CRM) system data with financials, ERP and inventory
management, as well as real-time data on social platforms, is an important
consideration when purchasing software to support CXM.
Many companies rely on business
intelligence and customer data analytics tools to learn how to market and sell
to customers in a more personalized, one-to-one fashion. Personalization
strategies include new technologies, such as mobile marketing, location-based
services and beacons, which help companies identify where customers are and
market to them in real time.
Companies also use emotional analytics
to gauge whether customers benefit from their interactions with the brand.
Emotional analytics software can help analyze the success of a variety of
operations that are related -- but potentially tangential to -- customer
service, such as inventory management or supply chain management.
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