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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 5 Lessons Social CRM can Learn from CRM
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 > 5 Lessons Social CRM can Learn from CRM
CRMPredictive Analytics

5 Lessons Social CRM can Learn from CRM

hkotadia1
hkotadia1
8 Min Read
5 Lessons Social CRM can Learn from CRM
Photo by Pexels on Pixabay (https://pixabay.com/photos/call-iphone-log-in-login-mobile-1866884/)
SHARE

I have been implementing CRM Solutions for a decade, having successfully managed many large CRM projects for Fortune 500 companies in the US with high level of client satisfaction. Yes, you read that right – CRM project client satisfaction is not an oxymoron (it can be done and we even won “Best Project” award to prove it, competing against hundreds of other projects – no small feat in a multi-billion dollar IT services company with projects in a diverse range of technology and where the competition to win this award is intense!)

Given this extensive hands-on experience as program and project manager implementing CRM solutions for some of the largest corporations in the world and having witnessed the CRM revolution from close quarters, right from its inception as eCRM, through growth and maturity phases and the rise of Social CRM now, what lessons can I think of that we learn to avoid some of the common pitfalls associated with CRM?

We can learn five important lessons before we start implementing Social CRM solutions:

Lesson 1: Social CRM is a Strategy

More Read

How CRM upgrades could better supply chain management
How CRM upgrades could better supply chain management
Drowning in Data: New Research Reveals that Sales Reps are Struggling to Keep Up
NCAA Data Visualizer for March Madness Face-Offs
Harnessing the Power of Big Data, Machine Learning, & Predictive Analytics
The true scope is unknowable, a priori

Social CRM is a business strategy, it is not technology, tools or platform. Social CRM can be defined as the business strategy of engaging customers through Social Media with goal of building trust and brand loyalty.

CRM too started out as a business strategy, but once software vendors came out with application to address CRM requirement and called it “CRM Application”, CRM became more of a tool than strategy. As a result, limitations and failures of tools became that of CRM – earning CRM its bad name.

So the first lesson is that Social CRM is a business strategy. Strategy is a plan of action designed to achieve a particular goal. Social CRM is a plan of action to build Trust and Loyalty. Calling Social CRM “technology”, “system” and “processes” is a misnomer. While executing Social CRM (strategy), technological tools will be used to achieve the goal – but tools are different from plan. It is very important to remember this distinction between Strategy (plan) and Tools (technology, systems). For more, see this and this.

It is important to have clearly defined and objective goals before selecting tools and technology. Not other way around, else limitation of tools will become limitation of your goals and strategy.

Lesson 2: Optimize Business Processes

Reason why many of the CRM implementations failed over the last decade is that the underlying CRM related business processes were not re-engineered or optimized for the CRM system.

As a result, CRM systems became more of a drag on the employees using it. And to force them to use it, many of the companies resorted to “carrot and stick” policy to force employees to enter information in the CRM system. Naturally, the word “CRM” quickly became unpopular. This could have been avoided had the underlying business processes been re-engineered or optimized before implementing CRM solution.

Lesson 3: Data Quality is Very, Very (and Very) Important

Any information system is only as good as data in it. We have all heard of the phrase “Garbage in, Garbage out” and this aptly describes why some of the CRM implementations failed. Not enough care was taken to ensure data quality.

Quality is critically important for both, transactional and non-transactional data. This is especially true for Social CRM as the volume of data emanating from Social Networks can be huge and as people use multiple accounts & profiles on Social Media channels. It is very important to have data governance framework and best practices in place before implementing a Social CRM solution.

Lesson 4: Leverage Analytics

Another key lesson we can learn is to leverage analytics. Thanks to their CRM systems, organizations were able to collect vast amount of data and have 360 degree view of their customers, but the same data could have been used much more effectively by applying Predictive Analytics.

Before implementing Social CRM solution, we should have a clear idea of how we are going to use the information collected and how we can apply advanced analytics not only to analyze the past, but also predict the future consumer behavior and fix problems before they become crisis.

Lesson 5: Project Ownership and Leadership

While discussing about project ownership and execution of CRM projects, I am reminded of this maxim: “a camel is a horse designed by committee”. In any large and complex project with multiple stake-holders, it is very important to have a clearly identified “owner” and an effective “leader” who will be responsible for the success of the project.

Absence of “clear” ownership and “effective” leadership is a recipe for disaster. This may sound common-sense, but you will be surprised to learn how many organizations attempt implementing CRM solution without first having in place a project owner and/or effective leader. This is all the more important for Social CRM as multiple stake-holders like Marketing, PR, IT, Legal are involved. It is very important to clearly highlight roles and responsibilities, procedure and protocols for each involved department/person before implementing a Social CRM solution.

What do you think? Would love to hear your views on common pitfalls associated with (Social) CRM implementation. I look forward to your comments:


Link to original post

TAGGED:crmdata qualitypredictive analyticssocial crmstrategy
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery -- AI-generated illustration
How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery
Exclusive News
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring -- AI-generated illustration
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring
Exclusive IT Security
The Information Governance Practices That High-Demand Social Work Roles Require -- AI-generated illustration
The Information Governance Practices That High-Demand Social Work Roles Require
Data Management Exclusive Policy and Governance Security
8 MCP Tools for Market and Consumer Intelligence Workflows -- AI-generated illustration
8 MCP Tools for Market and Consumer Intelligence Workflows
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data migration risk prevention
Big DataData ManagementExclusiveRisk Management

Best Approach to Risk Management for Data Migration in Data-Driven Businesses

8 Min Read
CRM

CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

8 Min Read
#24: Here's a thought...
Uncategorized

#24: Here’s a thought…

6 Min Read
Data Quality: A Cause and Effect Story
Business IntelligencePredictive Analytics

Data Quality: A Cause and Effect Story

4 Min Read

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

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?