BANT qualification in CRM: implementing Budget, Authority, Need, and Timeline as CRM deal properties with specific field options, stage transition validation to enforce qualification, BANT conversation scripts, BANT limitations (vs MEDDIC for complex sales), and fixing the data inflation problem where reps check BANT boxes without actually qualifying.
Sales cycle length analysis using CRM: calculating cycle length with correct segmentation, stage-level duration analysis with benchmarks, three common bottlenecks (discovery, POC/evaluation, contract) with root causes and fixes, rep-level cycle comparison for coaching, and how to investigate a 30% sales cycle increase year-over-year.
Win rate optimisation: calculating win rate correctly, segmented win rate analysis (by deal size, competitor, lead source, rep, stage entered), win/loss interviews for qualitative insight, coaching reps using stage-level conversion data, high-leverage improvements (strict qualification, competitive training, multi-threading), and fixing inflated win rate reports.
Deal velocity in CRM: the velocity formula (deals × value × win rate ÷ cycle length), diagnosing stage bottlenecks using stage duration analysis, win rate by stage, velocity variance by rep, tactics to improve velocity (mutual close plans, champion enablement, proposal turnaround, parallel legal review), and fixing lengthening sales cycles.
Sales pipeline health metrics: four-dimension framework (volume, quality, velocity, coverage), pipeline coverage ratio, stage-weighted value, decision maker contact rate, pipeline velocity formula, stage-to-stage conversion rates, a pipeline health scorecard with target thresholds, and how to diagnose a pipeline that looks healthy but misses quota.
CRM dashboards for sales leaders: one-question-per-dashboard design principle, five essential dashboards (pipeline health, rep performance, forecast, deal velocity, customer health) with specific metrics for each, dashboard design principles (trend over snapshot, traffic light formatting), and fixing dashboards nobody uses.
CRM and zero-party data: zero vs first vs third-party data comparison, collection methods (preference centres, product quizzes, onboarding forms, chatbots), how to store zero-party data as CRM properties, using stated preferences for email segmentation and sales personalisation, and fixing preference centres that nobody uses.
Conversational CRM: AI chatbots for lead qualification, meeting booking, and FAQ deflection; HubSpot Conversations vs Drift vs Intercom vs Tidio compared; WhatsApp and SMS integration in CRM; personalised chatbot experiences using CRM data; and fixing chatbot volume with no conversion quality.
CRM workflow automation: 10 essential workflows with exact trigger, condition, and action logic — lead assignment, deal stage enforcement, stalled deal alerts, post-close onboarding, renewal opportunity creation, NPS surveys, lifecycle stage updates, and employee departure contact reassignment.
CRM for customer retention: retention data foundation (renewal dates, NPS, usage, support tickets), proactive risk identification workflows, save campaign process for at-risk accounts, GRR and NRR metrics, the customer feedback loop from churn reason data to product roadmap, and tiered CSM account management to maximise retention ROI.