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How B2C CRM differs from B2B: handling high-volume consumer data ingestion, identity resolution across channels, RFM and lifecycle segmentation, automated journey triggers, platform selection (Klaviyo, Braze, Salesforce Marketing Cloud), and GDPR/CCPA compliance for consumer databases.
How to build a CRM business case that wins leadership approval: quantifying the cost of the current state, modelling conservative benefits using credible benchmarks, total cost of ownership across all four components, business case document structure, and handling finance objections.
How to design a CRM data model that scales: core object relationships (Contact, Company, Deal, Activity), field design principles (avoid redundancy, use structured types), standard field taxonomy for each object, association design, and fixes for duplicate deals and field proliferation.
How to build and maintain CRM stakeholder buy-in: tailoring the case to each group (reps, managers, leadership, IT, finance), addressing resistance (surveillance concerns, past failures), executive sponsorship requirements, pilot group strategy, and sustaining adoption post-launch.
How to successfully launch a CRM system across four phases: preparation (requirements, success metrics), configuration (pipeline, fields, permissions), data migration (cleaning before import, scope limits), and user adoption (role-specific training, manager adoption, 90-day check-ins).
CRM configuration for field sales teams: mobile app with offline capability, map views and route planning tools, territory setup in Salesforce and HubSpot, fast visit logging for field reps, and fixes for low CRM adoption and inefficient routing.
CRM configuration for inside sales teams: auto-dialer integration, call cadence management, activity tracking dashboards for managers, pipeline management at high deal volume, SDR/BDR workflow setup, and fixes for common problems like slow call logging and stale pipeline.
How to configure CRM to support Challenger Sale methodology: account research fields for the Teach phase, multi-stakeholder mapping for the Tailor phase, objection tracking for commercial tension, and using CRM portfolio data to build commercial insights.
SPIN Selling in CRM: all four question types (Situation, Problem, Implication, Need-Payoff) as structured CRM deal properties, using CRM for pre-call preparation to skip generic Situation questions, turning SPIN discovery data into analysable pipeline intelligence, and fixing reps who revert to feature-dumping after SPIN training.
MEDDIC in CRM: all six elements (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion) as specific CRM deal properties, stage gate requirements, MEDDIC forecast scoring, MEDDPICC extension, how to test champion quality before it matters at the executive level, and fixing MEDDIC that stays theoretical after training.
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