Sales Operations is the strategic function that optimizes sales. From processes to technology to analytics - Sales Ops makes selling better.
What is Sales Operations?
Definition
Sales Operations encompasses all activities that make sales more efficient and effective - without actually selling.
Core Tasks
| Area |
Activities |
| Strategy |
Planning, forecasting, quotas |
| Process |
Sales process, methodologies |
| Technology |
CRM, tools, automation |
| Data & Analytics |
Reporting, insights |
| Enablement |
Training, content |
Sales Operations Areas
Territory & Quota Planning
| Activity |
Description |
| Territory Design |
Fair territory allocation |
| Quota Setting |
Set realistic targets |
| Capacity Planning |
Plan headcount |
| Compensation |
Commission models |
Pipeline & Forecast
| Activity |
Description |
| Pipeline Review |
Regular review |
| Forecast Accuracy |
Prediction quality |
| Stage Definitions |
Clear criteria |
| Win/Loss Analysis |
Learn from outcomes |
Process & Productivity
| Activity |
Description |
| Sales Process |
Standardized workflow |
| Handoffs |
Marketing → Sales → CS |
| Automation |
Repetitive tasks |
| Efficiency |
Time per deal |
| Activity |
Description |
| CRM Management |
Administration, customization |
| Tech Stack |
Tool selection and integration |
| Data Quality |
Clean data |
| Adoption |
Ensure usage |
Sales Operations Metrics
Leading Indicators
| Metric |
Description |
| Activities |
Calls, emails, meetings |
| Pipeline Created |
New opportunities |
| Pipeline Coverage |
Pipeline/Quota ratio |
| Sales Velocity |
Speed through pipeline |
Lagging Indicators
| Metric |
Description |
| Revenue |
Revenue |
| Quota Attainment |
Goal achievement |
| Win Rate |
Close rate |
| Average Deal Size |
Average revenue |
| Sales Cycle Length |
Time to close |
Sales Velocity = (Opportunities × Win Rate × Avg Deal Size) / Sales Cycle
Forecasting
Forecast Methods
| Method |
Description |
| Weighted Pipeline |
Weighted by stage |
| Rep Forecast |
Rep estimates |
| AI/ML Forecast |
Algorithm-based |
| Historical |
Based on history |
Forecast Categories
| Category |
Definition |
| Commit |
Will definitely close |
| Best Case |
Likely to close |
| Pipeline |
Possible, uncertain |
| Omit |
Will not close |
CRM and Tech Stack
CRM Best Practices
| Area |
Best Practice |
| Data Quality |
Required fields, validation |
| Adoption |
Training, monitoring |
| Integration |
Connect with other tools |
| Customization |
Adapt to process |
Typical Sales Tech Stack
| Category |
Tools |
| CRM |
Salesforce, HubSpot |
| Sales Engagement |
Outreach, Salesloft |
| Data |
ZoomInfo, Firmium |
| Conversation Intelligence |
Gong, Chorus |
| CPQ |
Configure, Price, Quote |
| BI |
Tableau, Looker |
Sales Process Design
Defining Stages
| Stage |
Criteria |
| Qualified |
BANT met |
| Discovery Complete |
Pain identified |
| Demo/Eval |
Product shown |
| Proposal |
Quote created |
| Negotiation |
Negotiation ongoing |
| Closed Won/Lost |
Decided |
Exit Criteria
Each stage needs clear exit criteria:
- What must have happened?
- What information is available?
- Who is involved?
Compensation & Quotas
Quota Setting
| Approach |
Description |
| Top-down |
Derive from company goals |
| Bottom-up |
Derive from capacity |
| Historical |
Based on past performance |
| Market |
Oriented to market potential |
Compensation Best Practices
| Element |
Best Practice |
| OTE Split |
50/50 to 70/30 (Base/Variable) |
| Acceleration |
Reward overperformance |
| Simplicity |
Max. 3 components |
| Alignment |
With company goals |
Reporting & Analytics
Dashboards
| Level |
Focus |
| Rep |
Own performance |
| Manager |
Team performance |
| Leadership |
Business overview |
Key Reports
| Report |
Frequency |
| Pipeline Report |
Weekly |
| Forecast |
Weekly |
| Activity Report |
Daily |
| Win/Loss Analysis |
Monthly |
| Funnel Analysis |
Monthly |
Sales & Marketing Alignment
SLA (Service Level Agreement)
| Marketing Commits |
Sales Commits |
| X MQLs per month |
Follow-up in Y hours |
| Lead quality |
Feedback on leads |
| Campaign support |
Deal information |
Lead Handoff
| Phase |
Responsible |
| Visitor |
Marketing |
| MQL |
Marketing |
| SAL |
Handoff |
| SQL |
Sales |
| Opportunity |
Sales |
Sales Operations Career
Typical Roles
| Role |
Focus |
| Sales Ops Analyst |
Reporting, data |
| Sales Ops Manager |
Processes, projects |
| Director Sales Ops |
Strategy, team |
| VP Sales Ops / RevOps |
Leadership |
Skills
| Skill |
Importance |
| Data Analysis |
Understanding numbers |
| Process Design |
Optimizing workflows |
| Technology |
CRM and tools |
| Communication |
Stakeholder management |
| Strategy |
Long-term thinking |
Conclusion
Sales Operations is the multiplier for sales success:
- Efficiency: More time for selling
- Effectiveness: Better results
- Predictability: Reliable forecast
- Scaling: Enable growth
A strong Sales Ops team makes the difference between good and great sales.
Data for Sales Ops: Firmium provides company data for better lead qualification and account research.