CRM deal tracking: required fields by pipeline stage, the next step field as the most important deal field, deal alerts for no activity and stale close dates, weekly deal review process, win/loss reason capture taxonomy, and how to fix pipeline full of deals with 6-month-old close dates that were never updated.
Sales automation with CRM: the decision framework for what to automate, 7 high-value automations (lead routing, deal notifications, follow-up tasks, stalled deal alerts, post-close handoff, renewal reminders, data enrichment), HubSpot Workflows vs Salesforce Flow, automation pitfalls, and fixing robotic-feeling sequences.
CRM contact management best practices: minimum data quality standards, duplicate prevention and deduplication tools, segmentation by lifecycle stage and engagement tier, contact ownership rules, GDPR compliance requirements, fixing database decay and undeliverable email addresses, and enforcing data completeness.
Lead scoring in CRM: fit vs engagement scoring dimensions, step-by-step scoring model with example point values, score decay to keep scores current, MQL threshold calibration from historical closed-won data, HubSpot and Salesforce setup, and how to fix disagreements between marketing and sales on lead quality.
Sales pipeline management guide: pipeline vs leads vs forecast, designing stages with objective entry criteria, pipeline metrics (coverage ratio, velocity, stage conversion rates), weekly management cadence, pipeline hygiene to remove bloated deals, and fixing stage inconsistency across sales teams.
CRM customer onboarding automation: the three onboarding phases (days 0-3, 3-45, 45-90), specific automated email and task sequences, HubSpot workflow setup guide, key onboarding metrics (time to first value, completion rate, Day 45 NPS), segmenting onboarding intensity by customer tier, and fixing low setup completion rates.
CRM for customer success: onboarding tracking, health scoring, renewal pipeline management, success plan workflows, HubSpot Service Hub vs Salesforce+Gainsight vs ChurnZero vs Totango, NRR and GRR metrics tracked in CRM, and how to set up minimum viable health monitoring to catch churn before it happens.
CRM sales forecasting: why most forecasts miss by 30-40% (stage inflation, optimistic close dates, uncalibrated probabilities), three forecasting methods (stage-based, historical win rate, AI-assisted), process requirements for forecast accuracy, forecast review cadence, and how to fix systematic over-forecasting.
CRM reporting best practices: five essential reports every sales leader needs (pipeline by stage, pipeline velocity, activity by rep, win/loss analysis, forecast accuracy), leading vs lagging indicators, building reports that drive action, fixing optimistic close date inflation, and ending dashboard proliferation.
CRM customization vs configuration: core distinction with examples of each, when to customise vs configure, configuration-first principle to avoid technical debt, platform comparison (Salesforce vs HubSpot vs Pipedrive), and how to recover from over-customised Salesforce instances that can't be upgraded.