Sales Methodology and Frameworks: Structured Sales Excellence

Building a Scalable Sales Process

Creating repeatable, high-performing sales methodology. **Sales methodology overview** What is sales methodology? - Structured approach to selling (defined stages, activities, deliverables) - Consistency: All AEs follow same process (vs each doing their own thing) - Scalability: New AEs trained on process (ramp faster) - Improvement: Analyze what works, optimize process over time Popular methodologies: Consultative Selling: - Focus: Customer's problem (not your product) - Process: Deep discovery → tailor solution → present → negotiate - Best for: Solutions selling, complex deals, high ACV - Strength: High trust, strong close rates, larger deal size Sandler Methodology: - Focus: Qualification (don't pursue bad fits), agreement (customer commitment) - Process: Build rapport → qualify budget/authority/need/timeline → present → close - Best for: Efficient selling, aggressive targets, inside sales - Strength: Efficient (avoid time wasters), predictable Challenger Sale: - Focus: Teach customer (challenge their thinking), align to your solution - Process: Teach about market/trends → tailor → collaborate → close - Best for: B2B, enterprise, need to differentiate - Strength: Establish authority, win large deals MEDDIC: - Focus: Deal qualification (Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion) - Process: Deep qualification → build champion → navigate politics → close - Best for: Enterprise deals, long cycles, complex decisions - Strength: Predictable, repeatable, high close rate for qualified deals **Building your sales process** Stage 1: Inbound leads - Source: Website, community, referrals, content - Activity: Lead assignment, quick qualification call (15 min) - Gate: Does customer fit basic profile? (right company size, problem) - Output: If yes → discovery meeting scheduled Stage 2: Discovery - Activity: 30-60 min call (understand customer problem) - Goals: (1) Understand their business, (2) Understand their problem, (3) Assess if solution fit - Questions: What are you trying to solve? Who else is involved? Timeline? - Output: Decision → qualified opportunity or no-fit close Stage 3: Qualification - Activity: Gather detailed info (budget, authority, timeline, decision process) - Qualification criteria: Budget (do they have it?), Authority (is this person decision-maker?), Need (is our solution right?), Timeline (when decide?) - Output: Qualified opportunity (move to proposal) or disqualified (stop pursuing) Stage 4: Solution development - Activity: Build proposal (customized to their needs) - Content: Problem restatement, solution overview, pricing, timeline, ROI - Review: Manager reviews before sending (quality control) - Output: Proposal sent (wait for response) Stage 5: Negotiation - Activity: Discuss terms, address objections, negotiate price/timeline - Typical: Customer asks for discount, longer trial, feature request - Strategy: Listen to real objection (don't discount immediately), offer alternatives - Output: Agreement on terms (move to close) Stage 6: Close - Activity: Contract signature, payment, implementation kickoff - Common delays: Legal review, approvals, budget confirmation - Push: Momentum (don't let deal stall), urgency (deadline if available) - Output: Closed/won, customer onboarded Example timeline: | Week | Activity | Duration | Notes | |---|---|---|---| | Week 1 | Lead in → discovery call | 1 week | Fast conversion | | Week 2 | Discovery → demo → qualification | 1 week | Gather info | | Week 3-4 | Proposal creation + review | 2 weeks | Customized proposal | | Week 5 | Negotiation | 1 week | Address objections | | Week 6 | Close (signature + payment) | 1 week | Final execution | | **Total** | **Lead to close** | **6 weeks** | **Typical SMB SaaS** | **Sales metrics and discipline** Pipeline metrics: | Stage | Count | Conversion | Win Rate | |---|---|---|---| | Leads | 100 | 20% → | 20 opportunities | | Qualified opps | 20 | 50% → | 10 in negotiation | | Proposals sent | 10 | 70% → | 7 close | | Won | 7 | 100% | 7 customers | Overall: 100 leads → 7 customers = 7% conversion rate Sales efficiency: - Sales cycle: 6 weeks average (lead to close) - Deal size: £10K ACV average - Win rate: 70% of proposals (industry benchmark 40-60%) - Productivity: 1 AE → 1 customer/week = £40K MRR per AE CRM discipline: Required: - Log all activity (calls, emails, meetings) in CRM - Update deal status (stage accurate) - Document next steps (what's happening next?) - Add notes (context for other team members) - Close/loss reason (why did we win/lose?) Weekly manager review: - Pipeline review: Total pipeline, conversion by stage - At-risk deals: Deals that might stall/close lost - New opportunities: New deals in pipeline - Forecast: Month revenue prediction - Coaching: Deals with issues (help AE succeed) Example review: AE: Alice - Pipeline: £100K (5 deals) - This month forecast: £20K (2 deals closing) - At-risk: Deal A (customer quiet 1 week, need follow-up), Deal B (waiting on legal) - New: Deal C came in, opportunity looks good - Issue: Only 7% of deals closing, benchmark 20% (problem?) - Plan: Review sales calls, improve discovery, shorten cycle **Sales coaching and improvement** Common issues and coaching: Issue: Long discovery (wasting time on bad fits) - Root cause: Not qualifying hard enough - Coaching: Ask harder questions, be willing to disqualify - Metric: Reduce discovery meetings that don't advance, increase win rate (fewer bad fits) Issue: Low close rate (30% vs 60% benchmark) - Root cause: Weak proposal, poor objection handling, or bad customer fit - Diagnosis: Review closed/lost (why did we lose?), listen to calls - Coaching: Improve proposal quality, handle objections better, disqualify early Issue: Long sales cycle (10 weeks vs 6 week target) - Root cause: Long negotiation, slow customer decision, poor urgency - Coaching: Create urgency (deadline), follow up faster, push for decisions - Metric: Reduce average cycle time Role-playing and training: - Common: Objection handling (customer says "too expensive", "need to think", "competitor better") - Practice: Manager plays customer, AE practices response - Feedback: What worked, what could improve? - Frequency: Monthly training session (30 min) **Sales territory and quota** Territory planning: | Territory | Target | Customers | ACV | Quota | |---|---|---|---|---| | East | 10 | 10 new customers | £10K | £100K | | West | 10 | 10 new customers | £10K | £100K | | Mid | 5 | 5 new customers | £15K | £75K | | Enterprise | 2 | 2 new customers | £50K | £100K | Quota setting: - Bottom-up: Territory potential (how many customers possible?) - Top-down: Company target (£375K total / 3 AEs = average quota) - Fair: Account for territory differences, AE experience Quota assignment: - New AE: 60-70% quota (learning curve) - Experienced AE: 100-120% quota (stretch) - Superstar: 150%+ quota (achieve and excel) **Scaling sales with process** Hire AE 1: - You (founder) + 1 AE = 2 people selling - Process: Informal, lots of ad-hoc - Problem: Doesn't scale Hire AE 2: - 2 AEs need process (consistency) - Create: Sales playbook, CRM setup, sales meetings - Benefit: Can train AE 2 faster, predict results Hire AE 3-5: - Hire VP Sales (if 5+ AEs) - Process: Formal, weekly meetings, sales coaching - Scaling: Onboarding faster (clear process), predictable results Example scaling: - AE 1: Ad-hoc, learning = 5-10 deals/month - AE 2-3: Process, formal = 8-12 deals/month each - AE 4-5: Optimized = 10-15 deals/month each - Total: 1 AE = 7 deals, 5 AEs = 50+ deals (7x efficiency with process) **Implementation roadmap** Month 1: Foundation - Define process: Map sales stages, activities, gates - Documentation: Write sales playbook (1-2 pages per stage) - CRM setup: Sales stages in CRM match your process - Training: Train all AEs on new process - Cost: 1-2 weeks time Month 2: Execution - Track: All deals in CRM, discipline on stages - Review: Weekly pipeline review with AEs - Coaching: Help AEs follow process - Refinement: Adjust process based on learning Month 3+: Optimization - Analysis: Win/loss analysis (why we win/lose?) - Improvement: Refine process based on data - Scaling: Use process to train new AEs - Measurement: Track metrics (win rate, cycle time, deal size) **Success metrics** Baseline (no process): - Win rate: 40% (inconsistent) - Sales cycle: 10 weeks (varies 2-16 weeks) - Deal size: £8K (varies wide) - Forecast accuracy: 50% (hard to predict) - Ramp time (new AE): 6 months (long learning curve) After implementing process: - Win rate: 60%+ (consistent, coachable) - Sales cycle: 6 weeks (predictable) - Deal size: £10K (more consistent) - Forecast accuracy: 80%+ (predictable) - Ramp time: 3 months (process helps train) Impact: - Same AE with good process: 50% more deals (better execution) - New AE adoption faster: Trained on proven process - Revenue predictability: Better forecasting