Lead Generation

Inbound Qualification Workflow:

1. Define qualification criteria (BANT: Budget, Authority, Need, Timeline)
2. Score leads automatically based on fit and engagement
3. Qualify leads through discovery calls or forms
4. Route qualified leads to sales reps
5. Nurture unqualified leads with relevant content

Best Practices

• Start with warm introductions before cold outreach
• Personalize every outreach with 3+ specific details about the prospect
• Follow up 5-7 times across multiple channels with value in each touch
• Qualify early to avoid wasting time on unqualified leads
• Track every interaction in the CRM for full visibility

Common Mistakes to Avoid

• Spamming generic messages without personalization
• Ignoring lead qualification criteria and chasing unqualified prospects
• Not following up enough (most deals die after 1-2 touches)
• Focusing on product features instead of customer pain points
• Neglecting inbound leads while only doing outbound

Level 2: Advanced

Core Capabilities

• Advanced Lead Scoring: Use predictive models, behavioral scoring, intent signals
• Multi-Channel Orchestration: Coordinate outreach across email, LinkedIn, phone, direct mail, events
• Account-Based Marketing (ABM): Target high-value accounts with personalized campaigns
• Lead Velocity Acceleration: Identify stalled leads, create re-engagement campaigns, shorten sales cycles
• Advanced Nurturing: Dynamic content based on behavior, automated re-engagement, personalized drip campaigns

Workflows

Predictive Lead Scoring Workflow:

1. Collect historical data on won/lost deals
2. Train ML model on fit signals (company size, industry, tech stack) and behavior signals (website visits, content downloads)
3. Score all leads in real-time with predictive model
4. Route high-scoring leads to sales reps for immediate outreach
5. Monitor model performance and retrain quarterly

ABM Campaign Workflow:

1. Identify target accounts based on ICP and revenue potential
2. Map key stakeholders and decision-makers at each account
3. Create personalized content for each account and stakeholder
4. Coordinate multi-channel outreach (email, LinkedIn, direct mail, events)
5. Track engagement and adjust tactics based on account behavior
6. Measure account-level metrics (engagement, pipeline, revenue)

Best Practices

• Use predictive scoring to prioritize high-probability leads
• Coordinate outreach across all channels with consistent messaging
• For ABM, invest in 10-50 target accounts rather than 1,000 generic prospects
• Track lead velocity (time from first touch to qualified)
• Create personalized nurture tracks based on lead behavior and interests

Common Mistakes to Avoid

• Over-reliance on static scoring without predictive models
• Coordinating channels poorly with conflicting messages
• Treating ABM as just targeted marketing (requires sales/marketing alignment)
• Not re-engaging stalled leads (most leads need 5+ touches)
• Sending generic nurture sequences without behavioral segmentation

Level 3: Strategic

Core Capabilities

• Predictive Demand Generation: Forecast lead pipeline, identify gaps, allocate resources proactively
• Revenue Operations: Align marketing and sales data, optimize full funnel metrics, improve attribution
• Programmatic ABM: Scale personalized campaigns to 100+ accounts with technology
• AI-Powered Personalization: Use AI to generate hyper-personalized content at scale
• Cross-Functional Lead-to-Cash Alignment: Optimize entire lead-to-cash process across marketing, sales, and customer success

Workflows

Pipeline Forecasting Workflow:

1. Build lead-to-revenue model with conversion probabilities at each stage
2. Forecast pipeline based on lead velocity, conversion rates, and deal velocity
3. Identify pipeline gaps and create generation campaigns to fill them
4. Monitor forecast accuracy and adjust model parameters
5. Communicate forecasts to leadership with confidence intervals and risks

Revenue Operations Workflow:

1. Unify marketing and sales data in a single data warehouse
2. Build full-funnel dashboards with cohort analysis
3. Optimize attribution model (multi-touch, time-decay, or shapley)
4. Identify bottlenecks and create experiments to improve conversion rates
5. Automate reporting and alerting for pipeline health

Best Practices

• Use data-driven forecasting with confidence intervals, not gut feel
• Focus on full-funnel metrics, not just top-of-funnel lead volume
• For programmatic ABM, use technology to scale personalization without manual effort
• Align lead generation with sales capacity (don't generate leads sales can't follow up on)
• Create closed-loop feedback from customer success back to marketing

Common Mistakes to Avoid

• Forecasting based on historical averages without lead velocity and conversion trends
• Optimizing for lead volume instead of revenue and qualified pipeline
• Scaling ABM without maintaining personalization (becomes generic)
• Not aligning marketing metrics with sales outcomes (leads ≠ revenue)
• Ignoring customer success feedback in lead generation strategy

Integration Points

This skill integrates with:

• Pipeline Management: Route qualified leads to pipeline
• Deal Closing: Pass lead context and history to deal closing process
• Account Management: Hand off accounts post-sale for upselling and retention
• Sales Enablement: Use sales enablement content in nurturing and outreach
• Forecasting: Provide lead pipeline data for revenue forecasting

Examples

Example 1: Cold Outreach to Tech Startup Founder

Level 1 Application:

• Research: Founded SaaS startup 2 years ago, raised Series A, hiring sales team
• Personalization: Mention recent funding round, hiring announcement, competitive positioning
• Outreach: Multi-touch sequence with value in each touch (case study, insight, invitation)
• Follow-up: 6 touches over 3 weeks across email and LinkedIn

Example 2: Inbound Lead Qualification

Level 1 Application:

• Lead source: Website demo request from mid-market company
• Qualification criteria: BANT score (Budget: $50k+, Authority: VP+, Need: urgent, Timeline: this quarter)
• Discovery call: Uncovered pain points, confirmed budget, established timeline
• Result: Qualified to sales rep for demo scheduling

Example 3: ABM Campaign for Enterprise Deal

Level 2 Application:

• Target account: Fortune 500 company with $10M+ revenue potential
• Stakeholders: CFO (budget), CTO (technical), VP Sales (user), Procurement (process)
• Personalized content: ROI calculator for CFO, technical whitepaper for CTO, case study for VP Sales
• Multi-channel: Email, LinkedIn, direct mail to office, lunch-and-learn event
• Result: 3 stakeholders engaged, meeting scheduled, opportunity created

Example 4: Pipeline Forecasting

Level 3 Application:

• Current pipeline: $2M with 50 opportunities
• Lead velocity: 100 leads/month, 20% qualified, 50% win rate
• Forecast: $400k new pipeline/month, $200k closed revenue/month
• Gap: Need $1M pipeline to hit $500k revenue target
• Action: Launch ABM campaign targeting 50 accounts to fill pipeline gap