L26: CRM Strategies & Drawbacks

Good morning, everyone. Welcome back to MGA-301. Last lecture we established the foundation of CRM in services — its strategic definition, the four-step process, the role of Customer Lifetime Value, and why CRM matters particularly in service industries. Today, Lecture 26, we go deeper into CRM Strategies and Drawbacks. [0–10 minutes: Introduction] Research by Gartner and others has consistently found that a significant proportion of CRM implementations — some estimates at sixty to seventy percent — fail to deliver the business value expected. Organisations invest heavily in CRM software, collect large amounts of customer data, build loyalty programmes, and then find that customer retention rates have not improved and revenue per customer has not grown. Why? Because CRM failure is almost always a strategy and culture failure, not a technology failure. Today we look at CRM strategies that work, and the specific traps that cause CRM programmes to fail. [10–40 minutes: Core Content] The four major types of CRM strategy. Type 1: Mass Customisation. This uses data about customer preferences to personalise the service offering at scale. Amazon's recommendation engine is the global benchmark. When you open Amazon, the products you see, the deals you are offered, and your search results are personalised based on your past behaviour. In banking, HDFC Bank's personalised product offers — telling you that based on your transaction history you are eligible for a pre-approved personal loan — is mass customisation in action. Type 2: Tier-based Loyalty Programmes. These explicitly segment customers by value and offer differentiated benefits to higher-value tiers. IndiGo's BluChip with Blue, Silver, Gold, and Platinum tiers. Most major Indian banks — SBI, HDFC, ICICI, Axis — have tiered private banking or wealth management tiers that give high-net-worth customers dedicated relationship managers, preferential rates, and exclusive service standards. Type 3: Community-Based CRM. Building customer relationships around a shared community identity rather than just individual transactions. Harley-Davidson's HOG clubs globally; Royal Enfield's Bullet club culture in India is one of the most powerful community-based brand relationships in any product or service category. Customers who feel part of a community are far less price-sensitive and far more loyal. Type 4: Win-Back Strategies. Programmes specifically designed to reactivate lapsed customers. Spotify's personalised "Wrapped" year-in-review content re-engages users. Zomato sends "we miss you" offers to inactive customers. Win-back strategies are often very efficient because lapsed customers already know the brand and have a previous positive experience to build on. Three core CRM components. First, Data Collection and Analytics. A CRM strategy is only as good as the data it is built on. The challenge in many Indian service firms is that data sits in silos — the branch banking system does not talk to the mobile app system, which does not talk to the credit card system. This fragmentation means the firm can never construct a complete customer picture. Data integration investment is the foundation of CRM effectiveness. Second, Customer Segmentation using the RFM model: Recency (when did they last transact?), Frequency (how often?), and Monetary Value (how much do they spend?). Customers high on all three are your most valuable and deserve the highest service investment. Third, Relationship Deepening through cross-selling (selling related services to existing customers) and up-selling (moving customers to higher-value service tiers). The Bank of Baroda, for example, has a programme to convert salary account customers into full-service retail banking customers with insurance, investments, and credit products. The economics are compelling — cross-selling to an existing customer is dramatically cheaper than acquiring a new one. Five common CRM failure reasons. Failure 1: Technology over strategy. Organisations buy expensive CRM software and assume having the system will create the strategy. It will not. The software is only as useful as the strategy it serves. Failure 2: Poor data quality. Garbage in, garbage out. If the customer data is incomplete, outdated, or incorrectly entered, the personalisation and segmentation built on that data will be wrong. Many Indian service firms have CRM systems full of duplicate records, incorrect contact details, and incomplete preference information because data entry is treated as an administrative afterthought. Failure 3: Employee non-adoption. CRM systems require front-line employees to use them consistently — logging every interaction, updating records, following CRM-driven protocols. If employees see CRM as an extra burden rather than a tool that helps them do their job better, they will work around it. CRM implementation must include significant change management and training investment. Failure 4: Treating all customers the same. The entire logic of CRM is differential investment based on customer value. Firms that invest in CRM technology but continue to deliver the same service to all customers have not actually changed their strategy. Differential service requires cultural change that many organisations resist. Failure 5: Privacy violations and over-communication. CRM programmes that bombard customers with irrelevant messages or share their data without consent destroy the customer relationship they are meant to build. Indian consumers are increasingly aware of data rights. [40–55 minutes: Activity and Discussion] Scenario analysis in pairs. Each pair receives a brief description of a failed CRM initiative and diagnoses: which of the five failure reasons is primarily responsible, and what would you recommend to fix it? Pair 1: A private hospital in Goa invested fifteen lakh rupees in a CRM system. Three years later, only forty percent of patient records are in the system, and the system has generated zero personalised outreach. Pair 2: A Goa tour operator sends daily marketing emails to all customers who have ever booked with them, regardless of when they last travelled. Their unsubscribe rate is thirty percent. Pair 3: An insurance company used CRM data to identify low-value customers and shifted them to automated phone trees with no human agent access. Complaint rates from this segment tripled. Pair 4: A restaurant chain deployed a loyalty app but the app only tracks points — it collects no data about what customers order or how often they visit. Eight minutes. Then each pair shares their diagnosis and recommendation. [Debrief: Pair 1 — Failure 3, employee non-adoption; Pair 2 — Failure 5, over-communication; Pair 3 — Failure 4, treating all customers the same without considering essential service obligations; Pair 4 — Failure 1, technology without strategy.] Discussion question: Is there a service category in India where CRM is fundamentally inappropriate — where the attempt to manage customer relationships through data and programmes would feel cold or manipulative rather than warm and personalised? What makes some service relationships resistant to CRM? [Healthcare and professional services often come up — patients do not want their doctor to seem like a salesperson.] [55–60 minutes: Summary and Assignment] Today we covered four types of CRM strategy — mass customisation, tier-based loyalty, community-based CRM, and win-back strategies — and three core components: data analytics, segmentation, and relationship deepening. We examined five major CRM failure reasons. The central message: CRM is a strategic and cultural change, not a technology project. Assignment: Read the Lovelock textbook case study on any service firm's CRM approach. Identify which of the four strategy types they primarily employ and which failure risk they most successfully avoided. Next lecture — Lecture 27 — we examine Customer Loyalty and Customer Lifetime Value in depth — the economics of loyalty and why investing in loyal customers is one of the most powerful strategies in services marketing. See you then. Thank you.