Digital Marketing - 1

Customer Insights & Co-creation

Module 6

Customer Engagement Framework

Customer engagement is defined as the behavioral manifestation of a customer's connection to a brand, beyond purchase. It involves four sequential components:

The Four 'I's of Customer Engagement

ComponentDefinitionExample Activity
InvolvementPersonal relevance and interest in the brand.Reading blogs or watching category videos.
InteractionTwo-way exchange of information.Posting comments or using a brand app.
IntimacyEmotional connection developed through interactions.Feeling a sense of belonging to a brand community.
InfluenceLikelihood to advocate for the brand.Writing reviews or referring friends.

Analytical Models for Customer Lifecycle

Firms use specific analytical models across the three stages of the customer lifecycle to manage engagement.

Lifecycle StageObjectiveAnalytical Models Used
1. AcquisitionAttracting the right customers.Response Models: Logit/Probit; Segmentation: Clustering.
DevelopmentIncreasing existing customer value.Cross-Sell/Up-Sell; Share of Wallet (vs. Size of Wallet); Shopping Journey Analysis (In-store path).
3. RetentionPreventing customer churn.Hazard Models: Predicting defection timing; Churn Prediction.

Customer Engagement Value (CEV) Framework

CEV argues that a customer's value extends beyond purchase behavior (CLV) to include participation and advocacy.

Value ComponentDescriptionStrategic Focus
CLV (Lifetime Value)NPV of all future profits from purchases.Transactional Revenue
CRV (Referral Value)Value from acquiring new customers via referrals.Customer Acquisition
CIV (Influence Value)Value from influencing others' behavior (Social Media).Brand Awareness
CKV (Knowledge Value)Value from feedback and ideas for improvement.Product Innovation

Co-Creation and Mass Customization

Digital technologies enable firms to move from "Make and Sell" to "Sense and Respond" through co-creation.

The 4 Types of Mass Customization

TypeProduct Change?Repr. Change?Description & Example
CollaborativeYesYesFirm works with individuals to create unique products. Ex: Custom suits.
AdaptiveYesNoStandard product altered by user during use. Ex: Adjustable car seat.
CosmeticNoYesStandard product packaged differently. Ex: Personalized engraving.
TransparentNoNoCustomization without customer knowing (based on data). Ex: Hotel preferences.

The IKEA Effect

A psychological phenomenon where consumers place a disproportionately high value on products they partially created or assembled themselves.

  • Mechanism: "Labor leads to love." The effort invested translates into perceived value.
  • Implication: Co-creation creates deeper emotional bonding and loyalty beyond product fit.
  • Example: LEGO Ideas, where users design sets, creates immense engagement and valuation.

Innovation and Growth Strategies

Innovation is no longer limited to R&D; it involves rapid cycles with customers.

Case Study: Landmark Group (Insights) Landmark Group uses "Landmark Rewards" to collect transactional, demographic, psychographic, and feedback data. They use the "Who, What, Why" framework:

  • Who? Segmentation.
  • What? Market Basket Analysis.
  • Why? Feedback/NPS.

Ansoff Matrix (Digital Role)

StrategyMarketProductDigital Role
Market PenetrationExistingExistingIncreasing usage via apps/loyalty.
Product DevelopmentExistingNewUsing CKV (Knowledge Value) for features.
Market DevelopmentNewExistingReaching new segments via digital channels.
DiversificationNewNewEntirely new digital business models.

Ultra-Quick Revision (Exam Essentials)

Key Concepts & Distinctions

Concept AConcept BKey Distinction
CLVCEVCLV is financial (purchases); CEV includes Referral, Influence, and Knowledge value.
AdaptiveCollaborativeAdaptive is user-adjustable; Collaborative is custom-built with the firm.
Lead UsersAverage UsersLead Users face needs months/years ahead of the general market.
NBANext Best ActionUsing predictive analytics for optimal N=1 personalization.

Must-Know Terms

  • IKEA Effect: Valuing things more because you helped build them.
  • Market Basket Analysis: Identifying associations between products (Bread \rightarrow Butter).
  • Hazard Models: Predicting when a customer is likely to churn.
  • CEV: Holistic value including CLV, CRV, CIV, and CKV.