We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: A Tale of Two People
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > A Tale of Two People
CRM

A Tale of Two People

SundeepKapur1
SundeepKapur1
4 Min Read
A Tale of Two People
Illustration generated with FLUX.1 [schnell] via Cloudflare Workers AI.
SHARE

I stayed at a very nice resort recently. My check-in experience was inspirational. The service in their lounge was impeccable. As I sat in the lobby, they would always rush over to get me a drink or ask if I needed something. My plate in the restaurant would barely be empty when they would run up and offer me more.

Of course, I was always searched like everyone else (security reasons) as I entered the property, sometimes a little too aggressively, most times with disdain or contempt. If I hung around the lobby, I was always asked what I was doing there. Once they knew who I was, it always changed the way they treated me.

It was the best of service, it was the worst of service. It was almost like being two different people. The key challenge was getting them to recognize me, once they did it was fine.
Online gives us a great opportunity to recognize and reward the customer. You know their preferences and can anticipate their transactions. But what if you don’t recognize them (they cleared their cache)? Shouldn’t you anticipate such situations? You should always come up with unique back-up offers or ways to guide the customer into your site, so you could recognize who they are. You can do this by making sure that messages are refreshed (not a few months old) and that they make sense – that they are relevant to the customers transactional path.

Three simple things to consider – first put forth a sign on your site that says – ‘tell us who you are so we can serve you better.’ Second, do offer something of value to the ‘identified consumer.’ Third – be genuine about treating them better – genuine service goes a long way.

Link to original post

More Read

Reducing the Confusion about Performance Management
Reducing the Confusion about Performance Management
How Big Data Can Boost Your Customer Service Efforts
Saying Goodbye
The opportunity for opportunity analytics
5 Ways Big Data is Transforming Customer Service
TAGGED:customer service
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about replacing informal co-located management with deliberate asynchronous workflows
Managing a Software Development Dedicated Team Across Time Zones
Development Exclusive Software
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive
Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data
Flat editorial illustration: The article explains how one KYC upload becomes separate records held by a verification vendor and a
What Happens to My KYC Data Behind the Approval Screen?
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Old School: Companies That Still Just Don’t Get It
Business IntelligenceCRM

Old School: Companies That Still Just Don’t Get It

5 Min Read
Smarter Agent Performance Management
AnalyticsBest PracticesBig DataBusiness IntelligenceCRMInside CompaniesPolicy and GovernanceWorkforce Analytics

Smarter Agent Performance Management

7 Min Read
The Semantic Web, Part II: The Business Case and Customer Service Implications
Inside Companies

The Semantic Web, Part II: The Business Case and Customer Service Implications

6 Min Read
Big Data Leads To An Impressive Array of Chatbots In Customer Service
Artificial IntelligenceExclusive

Big Data Leads To An Impressive Array of Chatbots In Customer Service

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?