Sales manager dashboard playbook
A practical operating rhythm for the person who owns revenue production in a home-service company. The KPIs to track by tech and by day, the questions to ask before the month slips away, and how a sales board turns individual numbers into team accountability.
Role playbook
What the sales manager actually owns
Picture this: it is the 22nd of the month, your team has four HVAC replacement appointments scheduled for the week, and you have no idea whether you are on pace for goal or 30% behind. You find out when the owner asks on the 25th. By then, the gap is too wide to close. That is the problem a sales manager dashboard is built to prevent. In a home-service business, the sales manager owns the revenue number, not as a passive observer of what the field turns in, but as an active coach who shapes close rates, average ticket, and conversion volume while there is still time to influence the outcome. This playbook lays out the KPIs, the operating rhythm, and the board you need to run that role from real data instead of gut feel.
The short version
- Own close rate, average ticket, sold revenue, and conversion by job type. Each metric points to a specific coaching decision, not just a performance grade.
- A daily glance at the board catches underperformance on day three, not day twenty-three. Weekly coaching sessions turn that signal into behavior change.
- Leaderboards and contests work best when the whole team sees the same live scoreboard. Visibility alone shifts behavior faster than a private coaching session.
- The biggest revenue leak in most home-service businesses is not lead volume. It is options that were never presented, or presented and lost for reasons the manager never reviewed.
The KPIs a sales manager should own
Each metric below is tied to a decision only the sales manager can make. Status colors show coaching context, not universal benchmarks. Targets vary by trade, season, market, and average job size, so calibrate these to your own baseline and best performers.
- Close rate (estimates to sold jobs)Decision: which tech needs ride-alongs or options coaching this week.Good
- Current
- By tech and job type
- Target
- Coach toward top-quartile average
- Average ticket (sold revenue per job)Decision: if average ticket drops, find out whether techs are skipping options or customers are declining them.Watch
- Current
- By tech, MTD and YTD
- Target
- Watch for suppressed options presentation
- Sold revenue (MTD and YTD)Decision: how far the team is from goal and how many days are left to close the gap.Good
- Current
- Team total and by tech
- Target
- Pace against monthly goal
- Conversion rate by job type (service vs. replacement)Decision: which job types are converting below potential and whether it is a skill or a pricing issue.Watch
- Current
- Percentage by category
- Target
- Replacement conversion worth watching separately
- Maintenance plan attach rateDecision: which techs are skipping the maintenance-plan conversation entirely.Poor
- Current
- Plans sold per eligible job
- Target
- Should rise as the board is visible
- Pending estimates not yet convertedDecision: which open estimates need a manager follow-up call today.Watch
- Current
- Open count by tech
- Target
- Zero unworked estimates after 48 hours
| Metric | Current | Target | Status |
|---|---|---|---|
| Close rate (estimates to sold jobs)Decision: which tech needs ride-alongs or options coaching this week. | By tech and job type | Coach toward top-quartile average | Good |
| Average ticket (sold revenue per job)Decision: if average ticket drops, find out whether techs are skipping options or customers are declining them. | By tech, MTD and YTD | Watch for suppressed options presentation | Watch |
| Sold revenue (MTD and YTD)Decision: how far the team is from goal and how many days are left to close the gap. | Team total and by tech | Pace against monthly goal | Good |
| Conversion rate by job type (service vs. replacement)Decision: which job types are converting below potential and whether it is a skill or a pricing issue. | Percentage by category | Replacement conversion worth watching separately | Watch |
| Maintenance plan attach rateDecision: which techs are skipping the maintenance-plan conversation entirely. | Plans sold per eligible job | Should rise as the board is visible | Poor |
| Pending estimates not yet convertedDecision: which open estimates need a manager follow-up call today. | Open count by tech | Zero unworked estimates after 48 hours | Watch |
Sales manager responsibilities by reporting horizon
| Responsibility | Daily | Weekly | Monthly |
|---|---|---|---|
| Revenue pace vs. goal | Glance at MTD sold vs. target | Forecast remaining days needed | YTD trend, reset next-month goal |
| Close rate by tech | Flag anyone more than 10 pts below team average | One-on-one with the bottom two techs | Track trend; identify structural skill gaps |
| Average ticket per tech | Spot any tech running 20%+ below their own baseline | Review options presentation process with low-ticket techs | Compare to prior year; adjust pricing tiers if needed |
| Maintenance plan attach rate | Check whether techs with eligible jobs are converting any | Contest or spiff for plans sold this week | Report total active memberships sold and churned |
| Pending estimates (open pipeline) | Assign follow-up calls on estimates older than 48 hours | Review won vs. lost estimates; spot pricing patterns | Conversion rate report: what closed and what did not |
Info
Coaching moment: the tech who is busy but not producing
Some of the trickiest techs to coach are the ones running more jobs than anyone else on the team but still falling short on sold revenue. High volume with low average ticket usually means one of two things: the tech is not presenting all the options on each job, or they are self-selecting toward easier low-value calls. A sales dashboard that shows close rate and average ticket side by side, broken down by tech and by job type, surfaces this pattern in the first week, not the last. When you can see it, you can have a specific conversation about the options conversation, not a vague push to 'sell more'.
Daily, weekly, and monthly operating rhythm
01 Morning board check (5 minutes)
Pull up the sales board before dispatch finalizes the day. Check yesterday's sold revenue per tech and compare to each tech's own rolling average. Flag any tech who closed zero or who dropped more than 15 points on close rate. Assign a check-in call or ride-along before the day starts, not at the end.
02 In-day pulse (as needed)
If a tech has four jobs by midday and zero sold, that is a same-day intervention, not a Friday review. A live board lets you see the in-day pipeline: jobs completed, estimates submitted, and options accepted. Reach out with a specific coaching point before the last two jobs, while there is still revenue on the table.
03 Weekly one-on-ones (30 minutes per tech)
Walk each tech through their own numbers: close rate, average ticket, plans sold, and pending estimates. Ask them to talk through the job where they lost a replacement or a higher-tier option. Keep it about the conversation, not the number. Pull up the actual job from the board so both of you are looking at the same data.
04 Weekly team huddle (15 minutes)
Announce the leaderboard standing. Celebrate the top ticket and the best close rate for the week. Share one specific technique a top performer used. Set a shared goal or contest for the coming week. Keep it short, energetic, and anchored to what the board actually shows.
05 Monthly review and reset
Review the full month by tech: sold revenue, close rate, average ticket, maintenance plans, and open estimates that aged out. Identify whether a performance gap is a skill issue, a tools issue, or a job-mix issue. Present the trend to ownership with context (seasonality, job type, territory), not just the raw number. Reset goals and contests for the next cycle.
What a sales manager dashboard looks like
A web and mobile board you pull up first thing in the morning and check between calls. It puts close rates, revenue pace, and tech-by-tech performance in one view so you can coach before the month is decided.
Figures are illustrative. A datacube sales manager dashboard is built around your techs, job types, goals, and data sources.
Warning
Red flags that need same-day action
Do not wait for the weekly review on any of these signals. A tech with four completed jobs and zero sold revenue is a same-day coaching call. Open estimates sitting unworked past 72 hours are likely lost revenue. A close rate that drops 15 or more points in a single day usually points to a specific job conversation that went wrong, and reviewing it while it is fresh is far more useful than reviewing it a week later. If your average ticket is running 20% below the team baseline and it has been three days in a row, that is a pattern, not a bad day. Act on patterns inside the week they form.
Leaderboards, contests, and goals
Make the scoreboard part of the daily culture
Where a live sales board changes team behavior in home-service companies:
- A visible leaderboard by sold revenue and close rate raises effort without a single coaching conversation because the team competes with themselves and each other.
- A weekly maintenance-plan contest focuses the entire team on a specific metric, not just a vague revenue target.
- Individual goals let each tech see their own pace against target in real time, which drives more self-correction than a manager pointing out the gap.
- A team revenue goal on the office TV aligns dispatch, sales, and the manager around the same number so everyone knows when the push is on.
A newer technician who sold under $10,000 the prior month sold $16,000 on day one with datacube and another $8,000 on day two, crediting the real-time visibility of his numbers.
Sales manager dashboard playbook FAQs
Build your sales team's live board
Datacube builds a custom sales manager dashboard around your techs, job types, goals, and data sources. See close rates, average ticket, and sold revenue in real time so you can coach the gap before the month is gone.
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