Key Takeaways
- Visual Kanban pipeline with drag-and-drop enables intuitive deal management and stage tracking
- Automatic lead assignment distributes leads by territory, industry, or round-robin to maximize coverage
- Lead scoring prioritizes high-value prospects for immediate follow-up, improving conversion rates
- Activity scheduling with color-coded deadlines ensures systematic follow-up without missed opportunities
- Pipeline forecasting uses stage probabilities and expected revenue for accurate sales projections
Lead Capture and Assignment
Odoo CRM captures leads from multiple channels: website forms, email aliases, live chat, social media, and manual entry. Assignment rules automatically distribute leads to sales representatives based on territory, industry, deal size, or round-robin rotation, ensuring fast response times and balanced workloads.
| Lead Source | Capture Method | Auto-Assignment |
|---|---|---|
| Website form | Contact/demo request forms | By territory or product interest |
| Alias (sales@company.com) | By round-robin or keyword | |
| Live chat | Chat widget on website | To available rep or queue |
| Social media | Integration connectors | By channel or campaign |
| Referral | Manual entry or partner portal | To account manager |
| Event | Event registration import | By event type or region |
Configure instant email notifications for new lead assignments. Research shows that responding to leads within 5 minutes increases conversion by 9x compared to responding after 30 minutes.
Pipeline Stage Configuration
Customize pipeline stages to mirror your actual sales process. Each stage has a probability percentage that feeds into revenue forecasting. Define required fields per stage (e.g., expected revenue must be set before moving to 'Proposal') to ensure data quality throughout the pipeline.
- New (10%): Initial lead qualification and contact
- Qualified (30%): Needs confirmed, budget and timeline identified
- Proposal (50%): Quotation sent, awaiting customer review
- Negotiation (70%): Active price or terms discussion
- Won (100%): Deal closed, order confirmed
- Lost (0%): Deal lost, reason recorded for analysis
Lost reason tracking captures why deals are lost (pricing, competition, timing, no decision). Analyzing lost reasons by stage, product, and competitor reveals patterns that inform pricing strategy, product development, and competitive positioning.
Activity Scheduling and Follow-Up
Activities are scheduled follow-up actions: calls, emails, meetings, demos, and custom activity types. Each activity has a deadline and color-coded status (green for upcoming, orange for today, red for overdue). The activity view consolidates all pending actions across the pipeline into a single prioritized list.
- Schedule next activity directly from the opportunity form
- Activity types with default deadlines (e.g., follow-up call in 3 days)
- Automated activity creation when opportunities enter specific stages
- Activity summary view across all opportunities for daily planning
- Overdue activity alerts via email and in-app notifications
- Activity completion logging with notes and next steps
The number one reason deals stall is inconsistent follow-up. Configure Odoo to automatically create a follow-up activity whenever an opportunity has no scheduled next action. This ensures no deal sits idle without a planned touch point.
Lead Scoring and Prioritization
Lead scoring assigns numerical values based on demographic criteria (company size, industry, location) and behavioral signals (website visits, email engagement, content downloads). High-scoring leads are flagged for immediate follow-up, while low-scoring leads enter nurturing workflows.
| Scoring Criteria | Points | Rationale |
|---|---|---|
| Company 50+ employees | +20 | Higher deal potential |
| Target industry match | +15 | Strong product fit |
| Visited pricing page | +10 | Purchase intent signal |
| Downloaded whitepaper | +5 | Early-stage interest |
| Free email domain | -10 | Lower B2B likelihood |
| No activity in 30 days | -15 | Engagement decay |
Review and adjust scoring criteria quarterly. Compare scores of won vs. lost deals to validate that your scoring model accurately predicts conversion. Refine point values based on actual correlation with deal outcomes.
Sales Forecasting and Reporting
Pipeline forecasting multiplies expected revenue by stage probability to generate weighted pipeline value. Compare forecasts against targets by rep, team, and period. Historical accuracy tracking shows how well forecasts predict actual results, enabling continuous improvement.
- Weighted pipeline value by rep, team, and period
- Expected closing date tracking with slip analysis
- Forecast vs. actual comparison for accuracy measurement
- Win rate analysis by source, product, and sales rep
- Pipeline velocity: average time per stage and total cycle duration
- Revenue cohort analysis for seasonal pattern identification
Connect CRM with marketing campaigns to track lead-to-revenue attribution. Know which campaigns generate the most pipeline value and the highest conversion rates, enabling data-driven marketing budget allocation.
Frequently Asked Questions
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