Know which deals need action, and who owns the fix.
Revenue Execution reads the deals each person can see in Salesforce. It shows what’s late, how deals closed, and what to cover in one-on-ones.
Revenue Overview
Team · Last 12 months
Closed-deal flow
Won and lost deals by month.
Data notes
Pipeline is as of today. Closed outcomes use the selected period, both ends included, and current Opportunity owner attribution.
Pipeline Schedule
Team · Open deals
Data notes
Open deals only. A deal is past due when it is open and its Close Date is before today. Risk tags are set by your company; they are signals, not predictions.
Sales Outcomes
Team · Last 12 months
Closed-deal flow
Won and lost deals by month.
Closing detail
By current owner
| Owner | Won | Lost | Win rate | Booked value |
|---|---|---|---|---|
| Jordan Ellis | 90 | 27 | 76.9% | $5,869,500 |
| Marcus Bell | 32 | 17 | 65.3% | $1,908,500 |
| Sofia Lindqvist | 68 | 81 | 45.6% | $3,782,500 |
Loss reasons
125 lost deals
| Loss Reason | Share | Deals | Amount |
|---|---|---|---|
| Price / budget | 33 of 125 | $1,842,500 | |
| Competitive choice | 26 of 125 | $1,194,000 | |
| No decision / priorities | 21 of 125 | $1,165,000 | |
| Product capability | 16 of 125 | $785,500 | |
| Customer disengaged | 10 of 125 | $305,500 | |
| Implementation timing | 9 of 125 | $487,000 | |
| Not recorded | 10 of 125 | $426,500 |
Win reasons
190 won deals
| Win Reason | Share | Deals | Amount |
|---|---|---|---|
| Product fit | 70 of 190 | $4,301,500 | |
| Relationship | 42 of 190 | $1,951,500 | |
| Price / value | 38 of 190 | $2,759,000 | |
| Speed to implement | 19 of 190 | $1,170,000 | |
| Not recorded | 21 of 190 | $1,378,500 |
Price / budget: 33 of 125 lost deals, versus 17 of 119 in the prior period.
Data notes
Only won and lost deals count. A reason is what the deal records now, not a verified cause. Owners are current owners, not owners at close.
Product Overview
Team · Last 12 months
Product portfolio
| Family › Line › Product | Won | Lost | Open | Past due |
|---|---|---|---|---|
| $9,207,500 | $5,213,000 | $11,117,000 | $1,373,000 | |
| $6,410,000 | $3,132,500 | $7,167,500 | $941,000 | |
| Platform Growth | $2,530,000 | $879,500 | $2,503,500 | $218,500 |
| Platform Enterprise | $2,009,000 | $1,116,000 | $2,602,500 | $326,000 |
| Platform Core | $1,431,500 | $924,000 | $1,511,000 | $284,000 |
| Analytics Add-on | $439,500 | $213,000 | $550,500 | $112,500 |
| $2,797,500 | $2,080,500 | $3,949,500 | $432,000 | |
| Data Scale | $994,000 | $364,000 | $1,588,500 | $139,000 |
| Data Foundation | $878,500 | $361,500 | $588,000 | $60,500 |
| Usage Credits | $467,000 | $198,500 | $494,000 | $56,500 |
| Data Governance | $458,000 | $1,156,500 | $1,279,000 | $176,000 |
| $2,353,000 | $993,000 | $1,848,000 | $256,500 | |
| $2,353,000 | $993,000 | $1,848,000 | $256,500 | |
| Implementation | $1,431,500 | $578,000 | $1,347,000 | $152,000 |
| Optimization Review | $423,000 | $164,000 | $212,000 | $38,500 |
| Discovery Workshop | $297,000 | $180,000 | $160,000 | $34,500 |
| Premium Support | $201,500 | $71,000 | $129,000 | $31,500 |
Product mix
| Family › Line › Product | In wins | In losses | Attach rate | Win rate | Days to win | Needs help |
|---|---|---|---|---|---|---|
| 159 | 105 | 87.1% | 60.2% | 84 | Needs help | |
| 95 | 54 | 48.5% | 63.8% | 90 | Needs help | |
| Platform Growth | 39 | 14 | 17.5% | 73.6% | 98 | Needs help |
| Platform Enterprise | 14 | 10 | 8.6% | 58.3% | 125 | Needs help |
| Platform Core | 42 | 30 | 22.4% | 58.3% | 71 | Needs help |
| Analytics Add-on | 20 | 12 | 11% | 62.5% | 93 | Needs help |
| 64 | 51 | 38.6% | 55.7% | 76 | Needs help | |
| Data Scale | 17 | 7 | 10.1% | 70.8% | 89 | Needs help |
| Data Foundation | 29 | 14 | 12.2% | 67.4% | 72 | Needs help |
| Usage Credits | 27 | 12 | 12.9% | 69.2% | 72 | Needs help |
| Data Governance | 10 | 26 | 12.7% | 27.8% | 74 | Needs help |
| 92 | 41 | 38.4% | 69.2% | 89 | Needs help | |
| 92 | 41 | 38.4% | 69.2% | 89 | Needs help | |
| Implementation | 35 | 15 | 16.2% | 70% | 106 | Needs help |
| Optimization Review | 19 | 8 | 7% | 70.4% | 81 | Needs help |
| Discovery Workshop | 22 | 14 | 9.1% | 61.1% | 67 | Needs help |
| Premium Support | 17 | 7 | 6.8% | 70.8% | 95 | Needs help |
Data notes
Values are product-line values: one deal can hold several products. Needs help means more value lost than won, on enough closed deals.
Team Performance
Team · Last 12 months
People · 3 people
About these numbers| Name | Won | Win rate | Avg deal | Open | Past due | Escalated | No next step | Pushed |
|---|---|---|---|---|---|---|---|---|
| Jordan Ellis | $5,869,500 | 76.9% | $65,217 | $4,800,000 | 5 | 3 | 10 | 3 |
| Sofia Lindqvist | $3,782,500 | 45.6% | $55,625 | $6,487,000 | 19 | 8 | 39 | 9 |
| You · own deals | $1,908,500 | 65.3% | $59,641 | $1,678,000 | 5 | 1 | 7 | 1 |
Needs attention
- Escalated · 12 · $1,365,000
- Past due · 29 · $1,629,500
- No next step · 56 · $3,598,500
- Pushed · 13 · $771,500
Data notes
The figures describe deals, never a ranking or score, and are not for pay or employment decisions.
Five read-only dashboards
Your own field names. No outside calls.
- Revenue Overview
Where do we stand? - Pipeline Schedule
What’s late, and who owns it? - Sales Outcomes
Why do we win and lose? - Product Overview
What’s selling, and what needs help? - Team Performance
Which deals should each one-on-one cover? - Deal Alerts
Optional emails to owners about late deals. Off until you turn it on.
Set up in four steps
From install to your first dashboard.