Go-to-Market & Sales Strategy Topics
Market strategy, sales operations, territory design, and market expansion. Covers segmentation, channel strategy, and competitive positioning.
Market Segmentation & Customer Targeting
Dividing a market into addressable segments and defining the ideal customer profile and buyer personas to prioritize. Covers segmentation criteria, account and customer prioritization, and matching offers to target buyers. Concept-level targeting logic rather than a single company's account list.
Value Communication & Business Case
Translating capabilities into business value and presenting a compelling case for it to a buyer. Covers value proposition development, consultative and value-based selling, turning features and technical metrics into outcomes, and tailoring the message to different stakeholders such as champions, economic buyers and executive committees. Also covers executive-ready artifacts like one-page business cases, board summaries and value decks, defending ROI claims against skeptical buyers and price-focused competitor comparisons, and showing a customer the value actually delivered. The persuasion layer that connects a solution to buyer outcomes.
Proof of Concept and Demonstrations
Proving technical fit through demos, proofs of concept, pilots, and evaluations. Covers scoping and running a POC or pilot, defining success criteria and acceptance tests, and handing a successful result over to delivery. Also covers designing and delivering demonstrations for different audiences, preparing demo environments, realistic data and sandboxes, recovering when a live demo fails or draws hard questions, and validating performance, integration, and security requirements. Focuses on the demonstration and validation craft.
Sales & Revenue Performance Analytics
Analyzing and reporting how the commercial engine is performing, from the descriptive-analytics seat. Covers defining and computing sales and revenue KPIs (MRR, ARR, bookings versus billings versus recognized revenue, NRR/GRR, logo and revenue churn, ACV, ARPA, DSO, run rate, magic number), including the SQL behind them; retention and cohort analysis of customers, leads and opportunities; sales funnel and pipeline analysis (stage conversion, win rate, deal velocity and sales cycle length, pipeline coverage, quota attainment, rep productivity, win/loss); executive and manager revenue dashboards and reporting design; and revenue data quality (reconciling CRM against billing, stage and closed-won definitions, overstated pipeline, multi-currency and revenue-recognition effects on reported metrics). Also covers explaining a worsening metric to stakeholders, resolving disputes over metric definitions, and spotting and handling metrics that incentives push people to game. Forecasting method, revenue-operations process and compensation design, CRM administration, marketing attribution, BI platform engineering, customer-success operations and unit-economics modelling are covered elsewhere.