Track revenue by rep, deal, segment, or period — actual closed deals and pipeline momentum. Pull from CRM and Harmony conversation data to forecast accuracy. Trigger on: revenue report, sales numbers, revenue by rep, revenue forecast, pipeline value, deal velocity, how much are we closing.
Track and forecast revenue — what's closed, what's in the pipeline, what's at risk, and what's on track to close. Works from CRM pipeline data (deals, stages, close dates, amounts) and Harmony conversation data (recent sales calls showing momentum or blockers). Helps sales leaders answer "Are we on track to hit target this month/quarter?" and "Where are the risks?" Includes actual closed revenue, pipeline by stage, and forecast confidence.
Ask what metrics matter most and what data is available:
If Harmony data exists, pull:
Extract closed deals from CRM:
Calculate:
Extract open opportunities:
By stage:
By close date:
Calculate:
Evaluate deal quality and close likelihood:
High confidence:
Medium confidence:
Low confidence:
Flag deals at risk and upsell opportunities:
At risk (may slip):
Opportunities (may accelerate or expand):
Create a revenue summary with actuals, forecast, and confidence.
Period: [Month/Quarter] | Report date: [Date] | Target: $[X]
| Rep | Deals Closed | Revenue | % of Target | Status |
|---|---|---|---|---|
| [Rep name] | [#] | $[X] | [%] | [Ahead / On track / Behind] |
| Segment | Deals Closed | Revenue | Avg Deal Size | % of Total |
|---|---|---|---|---|
| [Segment] | [#] | $[X] | $[Y] | [%] |
| Deal Size | # Deals | Revenue | % of Total |
|---|---|---|---|
| <$50K | [#] | $[X] | [%] |
| $50K–$100K | [#] | $[X] | [%] |
| $100K+ | [#] | $[X] | [%] |
| Stage | # Deals | Total Value | Avg Deal | Probability |
|---|---|---|---|---|
| Qualified | [#] | $[X] | $[Y] | 20% |
| Demo | [#] | $[X] | $[Y] | 40% |
| Proposal | [#] | $[X] | $[Y] | 70% |
| Close | [#] | $[X] | $[Y] | 90% |
| Total | [#] | $[X] | — | — |
| Period | # Deals | Pipeline Value | Weighted Forecast | Confidence |
|---|---|---|---|---|
| This month | [#] | $[X] | $[Y] | High / Med / Low |
| This quarter | [#] | $[X] | $[Y] | High / Med / Low |
| Next quarter | [#] | $[X] | $[Y] | High / Med / Low |
| Beyond | [#] | $[X] | — | Low |
| Period | Target | Actual | Forecast | % of Target | Status |
|---|---|---|---|---|---|
| This month | $[X] | $[Y] | $[Z] | [%] | [Ahead / On track / Behind] |
| This quarter | $[X] | $[Y] | $[Z] | [%] | [Ahead / On track / Behind] |
Forecast methodology: [Weighted pipeline (stage probability) + recent conversation data (Harmony) + rep input]
| Deal | Company | Amount | Current Stage | Days Inactive | Risk Level | Mitigation |
|---|---|---|---|---|---|---|
| [Deal] | [Company] | $[X] | [Stage] | [#] | [High/Med/Low] | [Action] |
| Account | Current Deal | Opportunity | Potential | Next Step |
|---|---|---|---|---|
| [Company] | [Current deal] | [Scope expansion, add-on, multi-year] | $[X] | [Action] |
| Metric | Value | vs. Last Period | Trend |
|---|---|---|---|
| Deal velocity (days from demo to close) | [#] days | — | [↑/→/↓] |
| Avg deal size | $[X] | [+/−]% | [↑/→/↓] |
| Win rate (closed / total worked) | [X]% | [+/−]% | [↑/→/↓] |
| Deals in pipeline | [#] | [+/−] | [↑/→/↓] |
| New deals added (this month) | [#] | — | [↑/→/↓] |
Recent sales calls showing momentum or concerns:
User: "Give me this month's revenue report. We're tracking against a $500K target. Pull from HubSpot and recent calls."
Output:
Period: March 2026 | Report date: 2026-03-22 | Target: $500K
| Rep | Deals Closed | Revenue | % of Target | Status |
|---|---|---|---|---|
| Sarah Johnson | 3 | $95,000 | 32% of $300K territory | On track |
| Marcus Washington | 2 | $50,000 | 22% of $225K territory | Behind |
| Jennifer Lee | 4 | $40,000 | 27% of $150K territory | On track |
| Segment | Deals Closed | Revenue | Avg Deal Size | % of Total |
|---|---|---|---|---|
| Financial Services | 5 | $125,000 | $25,000 | 68% |
| B2B SaaS | 3 | $45,000 | $15,000 | 24% |
| Tech/Consulting | 1 | $15,000 | $15,000 | 8% |
| Deal Size | # Deals | Revenue | % of Total |
|---|---|---|---|
| <$25K | 5 | $95,000 | 51% |
| $25K–$50K | 3 | $105,000 | 57% |
| $50K+ | 1 | $0 | 0% |
| Stage | # Deals | Total Value | Avg Deal | Probability |
|---|---|---|---|---|
| Qualified | 8 | $220,000 | $27,500 | 20% |
| Demo | 5 | $180,000 | $36,000 | 40% |
| Proposal | 9 | $580,000 | $64,444 | 70% |
| Close | 4 | $260,000 | $65,000 | 90% |
| Total | 26 | $1,240,000 | — | — |
| Period | # Deals | Pipeline Value | Weighted Forecast | Confidence |
|---|---|---|---|---|
| This month (Mar 23–31) | 7 | $380,000 | $320,000 | High (6 deals in Close stage) |
| April | 12 | $550,000 | $330,000 | Medium (many in Proposal) |
| May+ | 7 | $310,000 | $150,000 | Low (early-stage or uncertain) |
| Period | Target | Actual | Forecast | % of Target | Status |
|---|---|---|---|---|---|
| March | $500,000 | $185,000 | $505,000 | 101% | On track if we close 6 remaining deals |
| Q1 (Jan–Mar) | $1,400,000 | $650,000 (Jan $220K, Feb $245K, Mar $185K forecast) | $1,380,000 | 99% | On track |
Forecast methodology:
| Deal | Company | Amount | Current Stage | Days Inactive | Risk Level | Mitigation |
|---|---|---|---|---|---|---|
| Enterprise Expense Mgmt | Pinnacle Services | $150,000 | Proposal | 8 | Medium | Sarah spoke with sponsor 3/19; CEO review in progress. Follow up Wed 3/26. |
| API Monitoring Suite | Compass Financial | $95,000 | Proposal | 12 | High | No contact since 3/10. Contact (Sarah T.) out until 3/24. Sarah J. should email today to re-engage. |
| Sales Automation | Atlas SaaS | $85,000 | Close | 2 | Low | Contract signed; implementation starts 4/1. On track. |
| Account | Current Deal | Opportunity | Potential | Next Step |
|---|---|---|---|---|
| CloudSync | API Monitoring ($45K) | Professional tier upgrade + integrations | +$15,000 | Mention in implementation kickoff (4/1) |
| Relay | Sales Automation ($35K) | Multi-year prepay discount (3-year for 25% off) | +$61,250 (lifetime value) | Sarah to pitch in April review |
| Modular | Expense Mgmt ($30K) | Add Finance team (scope expansion) | +$20,000 | Mentioned in discovery; revisit after initial close |
| Metric | Value | vs. Last Month | Trend |
|---|---|---|---|
| Deal velocity (days from demo to close) | 28 days | −7 days | ↑ (Getting faster!) |
| Avg deal size | $20,556 | −$2,444 | ↓ (More SMB mix this month) |
| Win rate (closed / total worked) | 56% | +8% | ↑ (Better qualification) |
| Deals in pipeline | 26 | +3 | ↑ (Pipeline growing) |
| New deals added (this month) | 5 | (vs 4 in Feb) | ↑ (Sourcing improving) |
Recent sales calls showing momentum or concerns:
Atlas SaaS (Michael Chen, VP Ops) — Sarah J. spoke with Michael on 3/22. Key quote: "Our CEO approved the contract. We can sign this week and start implementation in April." Implication: Deal will close by 3/28. Lock it in.
Compass Financial (Sarah Torres, CFO) — Sarah J. discussed on 3/10. Key concern: "We're comparing your solution against Competitor A on integration capabilities." Status: At risk — no recent contact. Send comparison deck this week; call 3/26 to re-engage.
Pinnacle Services (James Baker, Director IT) — Marcus spoke on 3/19. Key signal: "CEO review in progress. We should hear back by end of week." Implication: Medium confidence. Follow up 3/24 to confirm.
Relay (Chris Parker, VP Sales) — Jennifer mentioned on 3/18: "Chris asked about multi-year pricing." Implication: Upsell opportunity — pitch 3-year deal for 25% discount in follow-up.
This week (Mar 23–27):
Forecast: If we close 6 of 7 at-risk/close deals, we hit $505K and exceed $500K target by 1%
Rep coaching: Marcus is 22% of target. Review his 2 deals and pipeline. Does he need help closing Compass deal? Can he own a Proposal-stage deal to accelerate?
April planning: 12 deals in pipeline for April (good depth). Focus sourcing on $50K+ deals to improve deal mix.
Commission payouts: Sarah J. at $95K (on track); Marcus at $50K (needs push); Jennifer at $40K (solid). Q1 bonuses based on quota attainment.