Types, Stages & Trends of CRM Complete Revision Notes
Types, Stages, and Trends in Customer Relationship Management (CRM)
Core Concept: CRM is a vital business strategy that shifted the organizational focus from being product-focused to being customer-focused. It uses system tools for contact and sales management to improve relationships, enhance productivity, and boost overall ROI.
Types of CRM Systems
CRM is broadly divided into three main categories based on business goals:
1. Operational CRM
Focuses on automating and streamlining customer-centric business processes (Sales, Marketing, and Service). Examples: Salesforce, HubSpot.
Sales Force Automation (SFA): Automates the selling cycle. Includes modules like:
Product Configuration: (If-then-else structure) lets customers/sales reps customize products and prices.
Lead Management: Qualifies leads and assigns them to the right salesperson.
Opportunity Management: Tracks leads from status to closure and beyond.
Marketing Automation: Finds the best way to offer products. Involves:
Market Segmentation: Dividing customers by Demographics, Geographics, Psychographics, or Behavior.
Campaign Management: Deciding the best channel (email, social, print) for a specific offer.
Event-Based (Trigger) Marketing: Presenting offers at a specific time (e.g., triggering a custom offer when a customer calls to compare interest rates).
Service Level Management (SLM): Ensures services are delivered on time per Service Level Agreements (SLAs).
2. Analytical CRM
Focuses on capturing, interpreting, storing, and analyzing vast amounts of customer data to enable better decision-making. Examples: Zoho Analytics, Salesforce Wave.
Data Warehousing: A central place where data from various sources is integrated. The data is Subject-Oriented, Integrated, Time-variant, and Non-volatile (read-only).
Data Mining: Turning raw data into business intelligence using statistical techniques like:
Clustering: Grouping data to find natural structures.
Classification: Assigning data to categories to predict future behaviors.
Association Rules (Market Basket Analysis): Finding which products are frequently bought together.
OLAP (Online Analytical Processing): Allows rapid multidimensional data analysis. Includes MOLAP (Multidimensional), ROLAP (Relational), and HOLAP (Hybrid).
3. Collaborative CRM
Focuses on sharing customer information and collaborating across different departments (Sales, Marketing, Support), as well as with vendors and partners. Examples: Pipedrive, Copper.
Interaction Management: Manages communication (chat, polling, online sharing) across all departments so everyone has the same customer context.
Channel Management: Developing strategies to reach customers through the best channels.
Direct (Zero-Level): No middlemen (e.g., catering, salons).
One-Level: Producer ➔ Retailer ➔ Customer (malls).
Two-Level: Producer ➔ Wholesaler ➔ Retailer ➔ Customer.
The 5 Stages of the CRM Process (Customer Life Cycle)
The CRM cycle requires collaboration between Marketing, Sales, and Support.
Generate Brand Awareness (Reach): Identifying the target audience, creating buyer personas, and using marketing automation/A/B testing to create targeted campaigns.
Customer Acquisition (Acquire Leads): Convincing people to engage (e.g., using a newsletter CTA to get an email address). The cost is known as CAC (Customer Acquisition Cost).
Conversion: Turning a lead into a paying customer. This requires lead scoring to identify who has the highest probability of a sale.
Customer Retention (Provide Superior Service): Keeping the customer coming back. Good customer service is the biggest factor determining brand loyalty. Engaged customers generate 1.7x more revenue!
Customer Loyalty (Drive Upsells): Turning customers into brand advocates and driving upsells (selling more expensive items) via personalized recommendations or check-in calls.
Emerging Trends in CRM (xRM & The Future)
Handling Big Data: Managing data coming with high volume, velocity, and variety from multiple channels.
Cloud-Based CRM: Shifting away from expensive on-premise software to affordable SaaS.
Social CRM: Tracking reviews and social interactions to judge product sentiment.
CRM with Wearables: Integrating real-time health/fitness tracking data for instantaneous customer engagement.
CRM to xRM: The evolution from Customer Relationship Management to Any Relationship Management (e.g., managing parking violations, property taxes, employee grievances).
High-Yield Keywords for MCQs
CAC: Customer Acquisition Cost.
Market Basket Analysis: Also known as Association Rules; analyzes what products are bought together.
Non-Volatile Data: Data in a warehouse that cannot be updated or deleted; it is only read.
Event-Based Marketing: Triggered marketing based on a specific, real-time customer action.
By Lunotes – your trusted for Lucknow University Semester exam notes, crafted with love. ❤️