This is a guest post from Nikhil Pereira, Customer Experience (CX) Practice Leader at Tech Mahindra.
Customer Experience (CX) is an end-to-end journey that a customer experiences with a product or service throughout its lifecycle – pre-purchase, purchase, and post-purchase. These experiences are divided in to Primary and Secondary stages.
There are critical parameters that define the ‘WHY’ CX is important:
Some noteworthy insights on the importance of CX:
Key Customer Engagement Channels and their benefits:
Providing a ‘personalized’ service is what companies have and should continue to deliver across the customer journey. The technology companies are now focusing more on delivering the best in class digital customer experience that can transform overall business outcomes. Artificial Intelligence is the key to deliver predictive and proactive service and will help drive insights via Analytics from Big Data. Looking back to move forward is the stepping stone for predicting the future of customer experience. In today’s post-COVID world, B2C is shifting to D2C where companies need to have their finger on the pulse of the end customer with a razor-sharp focus on end CX.
The response to the million-dollar question – where does the future of CX lie? It is no longer reactive but predictive customer experience. The shortcomings of traditional CX measurement must be identified and reworked using predictive analytics methods and models. Let’s throw light upon some important predictive analytics techniques:
Predictive Analytics is the Future of CX Marketing
Predictive analytics has the potential to transform the way we conduct impact analysis and customer experience. However, the field is not developing at a fast enough pace. Businesses may decide the best method to respond to individual client wants and surpass expectations by using predictive analytics supplied by phone calls, emails, social media sentiment, customer escalations, and other data from other critical touchpoints. Predictive analytics can even assist businesses assure precise and dependable deliveries by anticipating probable complications in the journey or occasions in which delivery may be hastened. By using predictive analytics into your customer experience and operational activities, you can better serve and understand your consumers while also increasing productivity and efficiency.
In summary, considering today’s fast-paced digital-first world, to be able to build, retain, grow customer relationships, customer experience is “paramount”.
This is a guest post from Nikhil Pereira, Customer Experience (CX) Practice Leader at Tech Mahindra.
Author Bio
Nikhil Pereira is Contact Center expert with 20 years of end-to-end contact center expertise. He has experience across the Contact Center spanning Hiring, Training, Quality, Workforce Management, Performance Management etc. Nikhil comes with deep expertise in Contact Center Transformation leverage Digital-First tools and technologies. Conducted multiple Contact Center consulting studies across the globe for some of the leading brands across North America, UK, Middle East and Australia. He is a certified “Design Thinker”, UiPath and Microsoft certified.
Thanks to TranQuangKhai on Pixabay for the image.