majiayu000 Revenue Operations Expert
Strategic expertise in aligning sales, marketing, and customer success to optimize the entire revenue engine.
RevOps Framework
revenue_engine:
flow: "Marketing → SDR → AE → CS → Expansion"
stages:
marketing:
input: "Traffic/Leads"
output: "MQLs"
metrics: ["MQL Volume", "CPL", "Channel Mix"]
sdr:
input: "MQLs"
output: "SQLs"
metrics: ["Conversion Rate", "Response Time", "Meeting Rate"]
ae:
input: "SQLs"
output: "Closed Won"
metrics: ["Win Rate", "ACV", "Sales Cycle"]
cs:
input: "Customers"
output: "Retained Revenue"
metrics: ["NRR", "Churn", "NPS"]
expansion:
input: "Existing Customers"
output: "Upsell/Cross-sell"
metrics: ["Expansion Revenue", "Attach Rate"]
core_principles:
- "Single source of truth for data"
- "Process standardization across teams"
- "Technology enablement"
- "Predictable revenue growth"
GTM Strategy
gtm_motions:
sales_led:
characteristics:
- "High-touch sales process"
- "Enterprise focus"
- "Complex products"
metrics:
cac: "$10,000-50,000"
sales_cycle: "90-180 days"
acv: "$50,000+"
team_structure:
- "SDRs (outbound focus)"
- "AEs (closers)"
- "SEs (technical support)"
- "CSMs (post-sale)"
product_led:
characteristics:
- "Self-service onboarding"
- "Freemium or free trial"
- "Product drives conversion"
metrics:
cac: "$500-2,000"
sales_cycle: "7-30 days"
acv: "$1,000-20,000"
team_structure:
- "Growth team"
- "Product specialists"
- "Customer success (scaled)"
hybrid:
characteristics:
- "PLG for SMB"
- "Sales-assisted for Enterprise"
- "Multiple price points"
metrics:
smb_cac: "$1,000-5,000"
enterprise_cac: "$20,000+"
Revenue Metrics
core_metrics:
bookings:
arr: "Annual Recurring Revenue"
mrr: "Monthly Recurring Revenue"
tcv: "Total Contract Value"
acv: "Annual Contract Value"
formula:
arr: "Sum of all annual contract values"
mrr: "ARR / 12"
growth:
net_new_arr: "New logos + Expansion - Churn"
nrr: "(Starting ARR + Expansion - Churn) / Starting ARR"
gross_retention: "(Starting ARR - Churn) / Starting ARR"
targets:
nrr: ">110%"
gross_retention: ">90%"
efficiency:
cac: "Sales & Marketing Spend / New Customers"
ltv: "ARPU × Gross Margin × Customer Lifetime"
ltv_cac: "LTV / CAC"
cac_payback: "CAC / (ARPU × Gross Margin)"
targets:
ltv_cac: ">3:1"
cac_payback: "<18 months"
velocity:
pipeline_velocity: |
(# Opportunities × Win Rate × ACV) / Sales Cycle Days
sales_cycle: "Days from SQL to Close"
stage_conversion: "Opportunities moving to next stage"
Process Design
Lead Management
lead_process:
lead_sources:
inbound:
- "Website forms"
- "Content downloads"
- "Demo requests"
- "Free trial signups"
outbound:
- "SDR prospecting"
- "ABM campaigns"
- "Events"
- "Partner referrals"
lead_scoring:
demographic:
company_size:
enterprise: 30
mid_market: 20
smb: 10
title:
c_level: 25
vp: 20
director: 15
manager: 10
industry:
target_vertical: 20
adjacent: 10
other: 0
behavioral:
demo_request: 50
pricing_page: 30
content_download: 10
email_open: 5
website_visit: 2
threshold:
mql: 50
sql: 80
routing:
enterprise: "Named AE"
mid_market: "Territory-based"
smb: "Round robin"
inbound: "5 minute response SLA"
Opportunity Management
opportunity_stages:
stage_1_discovery:
name: "Discovery"
probability: "10%"
exit_criteria:
- "Pain identified"
- "Budget confirmed"
- "Timeline established"
required_fields:
- "Primary contact"
- "Problem statement"
- "Estimated deal size"
stage_2_qualification:
name: "Qualification"
probability: "25%"
exit_criteria:
- "MEDDIC complete"
- "Technical fit confirmed"
- "Champion identified"
required_fields:
- "Decision criteria"
- "Decision process"
- "Competition"
stage_3_demo:
name: "Demo/Evaluation"
probability: "50%"
exit_criteria:
- "Demo completed"
- "Positive feedback"
- "Next steps agreed"
required_fields:
- "Demo date"
- "Attendees"
- "Follow-up actions"
stage_4_proposal:
name: "Proposal"
probability: "75%"
exit_criteria:
- "Proposal delivered"
- "Pricing discussed"
- "Contract reviewed"
required_fields:
- "Proposal sent date"
- "Final pricing"
- "Contract terms"
stage_5_negotiation:
name: "Negotiation"
probability: "90%"
exit_criteria:
- "Terms agreed"
- "Legal approved"
- "Signature pending"
required_fields:
- "Final contract"
- "Expected close date"
closed_won:
probability: "100%"
required_fields:
- "Contract signed"
- "Start date"
- "Implementation plan"
MEDDIC Framework
meddic:
metrics:
question: "What business results are you trying to achieve?"
required: true
examples:
- "Increase revenue by 20%"
- "Reduce costs by $500K"
- "Improve efficiency by 30%"
economic_buyer:
question: "Who has budget authority?"
required: true
attributes:
- "Budget holder"
- "Final decision maker"
- "Can approve without escalation"
decision_criteria:
question: "How will you evaluate solutions?"
required: true
categories:
- "Technical requirements"
- "Business requirements"
- "Commercial terms"
decision_process:
question: "What is your evaluation process?"
required: true
elements:
- "Steps to decision"
- "Timeline"
- "Stakeholders involved"
identify_pain:
question: "What problem are you solving?"
required: true
depth:
- "Business impact"
- "Personal impact"
- "Urgency"
champion:
question: "Who will advocate internally?"
required: true
criteria:
- "Has influence"
- "Has access to EB"
- "Wants you to win"
Tech Stack Architecture
tech_stack:
core_systems:
crm:
tool: "Salesforce / HubSpot"
purpose: "System of record"
integrations: ["All revenue tools"]
marketing_automation:
tool: "Marketo / HubSpot / Pardot"
purpose: "Lead nurture, scoring"
integrations: ["CRM", "Website", "Email"]
sales_engagement:
tool: "Outreach / SalesLoft"
purpose: "Sequences, cadences"
integrations: ["CRM", "Email", "Calendar"]
revenue_intelligence:
tool: "Gong / Chorus"
purpose: "Call recording, insights"
integrations: ["CRM", "Calendar", "Video"]
supporting_tools:
data_enrichment:
- "ZoomInfo"
- "Clearbit"
- "Apollo"
analytics_bi:
- "Tableau"
- "Looker"
- "Mode"
cpq:
- "Salesforce CPQ"
- "DealHub"
- "PandaDoc"
customer_success:
- "Gainsight"
- "ChurnZero"
- "Totango"
integration_patterns:
native: "Preferred when available"
middleware: "Workato, Tray.io, Zapier"
custom: "APIs for complex logic"
Forecasting
forecast_methodology:
categories:
commit:
definition: "Will close this period"
confidence: ">90%"
criteria:
- "Verbal commitment"
- "Contract in legal"
- "No blockers"
best_case:
definition: "Could close with effort"
confidence: "60-90%"
criteria:
- "Proposal accepted"
- "Active negotiation"
- "Timeline aligned"
pipeline:
definition: "May close this period"
confidence: "30-60%"
criteria:
- "In evaluation"
- "Budget confirmed"
- "Timeline possible"
weighted_pipeline:
formula: "Sum(Deal Value × Stage Probability)"
adjustments:
- "Historical win rates by rep"
- "Deal age penalties"
- "Competition presence"
forecast_accuracy:
target: "Within 10% of actual"
measurement: "Commit vs Closed Won"
cadence: "Weekly review"
Capacity Planning
capacity_model:
sdr:
activities_per_day:
calls: 60
emails: 100
linkedin: 30
output_per_month:
meetings: 15
sqls: 10
quota: "$150K pipeline/month"
ramp_time: "3 months"
ae:
capacity:
active_opportunities: 25
new_per_month: 8
quota: "$1.2M ARR/year"
ramp_time: "6 months"
average_deal_size: "$50K"
win_rate: "25%"
cs:
book_size:
smb: "150 accounts"
mid_market: "50 accounts"
enterprise: "15 accounts"
nrr_target: "115%"
headcount_planning:
formula: |
Required Reps =
(Revenue Target / Quota) ×
(1 / (1 - Attrition Rate)) ×
(1 + Ramp Adjustment)
example:
revenue_target: "$20M"
quota: "$1M"
attrition: "20%"
ramp_factor: "1.25"
required_reps: "31"
Reporting Dashboard
executive_dashboard:
weekly_metrics:
- "Pipeline created"
- "Meetings booked"
- "Deals won/lost"
- "Forecast update"
monthly_metrics:
- "Bookings vs target"
- "NRR"
- "Win rate trends"
- "Sales cycle analysis"
quarterly_metrics:
- "ARR growth"
- "CAC trends"
- "Capacity utilization"
- "Funnel conversion"
sales_dashboard:
individual_metrics:
- "Pipeline coverage"
- "Activity metrics"
- "Stage progression"
- "Deal velocity"
team_metrics:
- "Leaderboard"
- "Quota attainment"
- "Win/loss analysis"
Process Optimization
optimization_areas:
lead_response:
current: "30 min average"
target: "<5 min"
impact: "2x conversion"
solution: "Auto-routing + alerts"
pipeline_coverage:
current: "2.5x"
target: "4x"
impact: "Forecast accuracy"
solution: "SDR capacity + ABM"
win_rate:
current: "22%"
target: "30%"
impact: "+36% bookings"
solution: "Deal qualification + coaching"
sales_cycle:
current: "120 days"
target: "90 days"
impact: "+33% velocity"
solution: "Multi-threading + mutual action plans"
Лучшие практики
- Single source of truth — CRM как единый источник данных
- Process before tools — сначала процесс, потом автоматизация
- Data hygiene — качество данных критично
- Cross-functional alignment — Sales + Marketing + CS
- Predictable forecasting — accuracy >90%
- Continuous optimization — итерации на основе данных