A sales KPI dashboard that answers Monday without a filter rebuild.
A sales KPI dashboard is only useful when the number on it drives a action. Strkr ships 20 KPIs worth tracking across the revenue motion, flags the 10 that are vanity, and lets the ops lead compose role-keyed defaults for reps, managers, and execs in three clicks. Live pipeline, drill-through from any tile, mobile parity.
Twenty KPIs across the revenue motion, by audience.
A sales KPI dashboard is only useful when every tile on it drives a action. The 20 KPIs below are what mature revenue orgs track across the AE, manager, VP, RevOps, and CSM surfaces. Each one is tied to a decision the audience makes from the number. Vanity KPIs (dials-dialed-just-to-dial, pipeline-created-with-no-conversion-signal, meetings-booked-without-SQL-conversion) are not on the list, which is the point.
Quota attainment
Rep, team, and segment attainment to date.
Current-period attainment against quota per rep, per team, and per segment, with pro-rated pace flag. The core AE KPI: am I on pace or behind. The core manager KPI: who on my team is on pace or behind. The core VP KPI: are the teams I own on pace in aggregate. Clicking the tile drills to the records driving the number.
Pipeline coverage
Open pipeline divided by target.
Total open pipeline in the forecast window divided by the window target. Healthy B2B SaaS teams sit at 3x to 5x coverage depending on close rate. A ratio under 3x is a signal of a thin funnel; a ratio over 6x is a signal of inflated pipeline or stage pollution. The ratio is the single most predictive leading indicator.
Forecast accuracy
MAPE, bias, and hit rate on four quarters.
Rolling MAPE, bias, and hit rate on commit versus actual by rep, segment, and method. Mature teams land at 5 to 10 percent MAPE with hit rate above 70 percent. The accuracy tile tells the CRO whether to trust the current commit. Clicking the tile drills to the variance report.
Win rate
Closed-won divided by closed-total by segment.
Closed-won divided by (closed-won plus closed-lost) over the trailing window, segmented by product, segment, and deal size. The win-rate heatmap surfaces where the business is winning and where the business is leaking. The RevOps lead reads the heatmap to prioritize motion changes.
Avg deal size
ACV average by segment and product.
Average ACV per closed-won deal by segment, product, and quarter. The tile surfaces segment mix changes before they hit the aggregate forecast. A team whose avg deal size dropped 20 percent in one quarter has a motion issue to investigate, not just a quota gap.
Cycle time
Days from created to closed-won.
Median days from deal created to closed-won by segment and product. The tile tracks whether cycle times are compressing (healthy) or stretching (motion issue). Cycle time trends are often the earliest signal of a product-market shift or a competitive change.
Stage conversion
Percent of deals progressing stage to stage.
The conversion rate between each stage: Qualified to Evaluation, Evaluation to Negotiation, Negotiation to Close. The funnel surfaces specific conversion drag at a stage. A team with 25 percent Qualified-to-Evaluation and 65 percent Evaluation-to-Negotiation has a coaching focus.
Deals created
New opportunities in the window.
Count of new deals created per rep, per week, per segment. The tile tracks top-of-funnel health. A team whose deals-created rate dropped week over week has an SDR or marketing issue before it hits the pipeline, which gives the manager time to intervene.
Meetings booked
Weekly meeting cadence per rep.
Meetings booked per rep per week, with the trailing eight-week trend. The tile surfaces activity-level issues before they hit pipeline. A rep whose meetings dropped 40 percent is a coaching conversation this week, not a quota conversation next quarter.
SQL conversion
Qualified meetings to opportunity-created.
Percent of meetings that convert to a qualified opportunity. The tile tracks the AE qualification discipline. A team whose SQL conversion dropped 15 percent has either a lead-quality issue (marketing) or a qualification-discipline issue (sales enablement).
Rep activity volume
Dials, emails, meetings, sequence steps.
Activity volume per rep: dials, emails, meetings, sequence steps per week. The tile is a coaching artifact, not a scoreboard. A rep whose activity is low and pipeline is low gets a coaching conversation. A rep whose activity is high and pipeline is low gets a quality conversation, not a volume one.
Deal risk count
Deals with elevated slippage risk.
Count of deals in the forecast with elevated slippage risk: close date in a stage with low fit, engagement declining, decision-maker exited, late-stage velocity below median. The tile tells the VP whether the current commit is defensible. Clicking the tile drills to the risk list.
Net new ARR
New-logo ARR plus expansion ARR, by period.
Net new ARR per period, split by new-logo and expansion. The tile tracks the composition of growth: a team that hits plan on expansion but misses on new-logo has a different problem than one that hits new-logo and misses on expansion. The VP of Sales and the VP of CS read the tile together.
Churn ARR
Logo churn plus net dollar retention.
Logo churn count and gross dollar churn per quarter, plus net dollar retention (NDR). The tile tracks the leaky bucket. For SaaS businesses, NDR above 110 percent is healthy, 100 to 110 is acceptable, below 100 is a retention investment case.
Rep ramp
Days to first deal, to quota attainment.
For new reps, the time-to-first-deal and time-to-quota metrics. The tile tracks onboarding effectiveness: teams that ramp new reps in 90 days scale faster than teams that ramp in 180. The sales enablement lead reads the tile to tune onboarding.
CAC payback
Months to recover customer acquisition cost.
Months to recover customer acquisition cost (CAC) on new logos. The tile is the single most important SaaS unit-economics metric. Teams at or below 12 months are healthy, 12 to 18 is median, above 24 is a growth-efficiency case. Finance reads the tile for the operating plan.
ACV by rep
Average deal size per rep.
Average ACV per closed-won deal per rep. The tile surfaces reps who close smaller or larger than the segment median. A rep whose ACV runs 30 percent below the median is either serving a segment (fine) or discounting without ops approval (not fine).
Lead-to-opp rate
Marketing qualified leads to opportunity-created.
Percent of marketing-qualified leads that convert to a sales-qualified opportunity. The tile is the handoff metric between marketing and sales. A rate below 10 percent is a lead-quality or qualification-discipline issue; the direction depends on the signal breakdown.
Discount rate
Avg discount percent on closed-won.
Average discount percentage on closed-won deals by segment and rep. The tile tracks pricing discipline. A team whose discount rate crept from 8 percent to 15 percent over a quarter has either competitive pressure, a pricing issue, or a discipline issue. Each path has a different fix.
Pipeline velocity
Won deals times ACV, divided by cycle time.
Pipeline velocity = (deals won x avg ACV x win rate) / cycle time. The tile combines four metrics into a single composite that answers "how fast is the business converting pipeline to revenue?" The VP reads the velocity trend as the single health signal across the full motion.
Role-keyed defaults
Four starter dashboards, one for each audience.
A single dashboard with 20 tiles serves no role well. The four role-keyed defaults below are starter configurations Strkr ships on day one. The ops lead clones the default, swaps in the local segment, and the dashboard is live. Each default is composed from the 20 KPIs above with the subset that drives the audience decision.
AE default
Attainment, pipeline coverage, risk count.
The AE opens: current-period attainment with pace flag, open pipeline by stage with top three deals at risk, win-rate trend, meetings booked this week, next-best-action queue from Strkr AI. Not a wall of charts, just the number the AE is chasing and the smallest set of actions that moves it.
Manager default
Team attainment, coverage, activity volume.
The manager opens: team view sorted by gap-to-quota, pipeline coverage per rep, deal risk count per owner, activity volume with low-activity flag, forecast accuracy trend for the team. The dashboard becomes the Monday one-on-one agenda, which is the measurement that matters.
VP default
Forecast, coverage, segment heatmap.
The VP opens: current-quarter booked, open pipeline, coverage ratio, forecast commit versus most likely, this-week movement by stage, segment win-rate heatmap, cycle-time trend, top ten deals at risk. The Monday forecast call runs from the dashboard instead of a slide deck.
RevOps default
Accuracy, cycle time, hygiene flags.
The RevOps lead opens: MAPE and hit rate on trailing four quarters, cycle time trend, stage conversion funnel, hygiene flag count (missing close dates, missing amounts, dormant deals), rep variance heatmap. Every red cell is clickable, so fixing a bad record or coaching a rep is a click, not a filter rebuild.
What makes a KPI dashboard useful
Six capabilities that separate action from pretty charts.
A sales KPI dashboard that looks beautiful and nobody opens is paperwork. The six capabilities below are what Strkr ships inside the paid tier to make the dashboard a working tool, not an artifact. Each capability removes a failure mode that breaks dashboards in week three. The pattern repeats because the failure modes repeat across teams.
Drill-through
Click any tile, land on the records.
Every tile is clickable. Clicking opens the record grid filtered to the segment composing the number. The AE opens the pipeline tile and lands on the eight deals ready to work. The fix work happens from the dashboard instead of a separate tab, which is why reps open the dashboard every morning.
Live data
Tiles refresh on record change.
When the AE marks a deal Won, the attainment tile, the coverage tile, the leaderboard, and the forecast tile all refresh in one pass. The dashboard reflects the current reality, not a Friday snapshot. The VP calling the AE for a status check reads the real number before the call connects.
Mobile parity
Full dashboard renders at phone width.
The dashboard renders at mobile width with the same tiles, the same drill-through, and the same filters as the desktop view. The regional VP at the airport reads the Monday number on the phone, drills into the top deal at risk, and leaves a comment on the record without opening a laptop.
Permissioned sharing
The right role sees the right dashboard.
The admin keys a dashboard to a role, a team, or a user, and only the audience sees the dashboard in their menu. The AE never accidentally reads the exec commentary meant for the board. The audit log tracks every view, filter change, and export for compliance.
AI insight tiles
Strkr AI reads the KPIs and flags the trend.
Strkr AI reads the dashboard and surfaces trends that need attention: coverage below 3x, a segment with declining win rate, a rep whose activity dropped week over week. The manager reads the insights before the one-on-one and lands on the right conversation.
Templates and clone
A library of starter dashboards per role.
The ops lead clones a template, swaps in the local quota and segment, and ships the dashboard in minutes. The AE, Manager, VP, RevOps, CSM, and SDR defaults ship on day one. The library grows per release and teams pick up new templates on login.
How the KPI dashboard runs on Monday
Four weekly rhythms that compound on the KPI tiles.
The dashboard is the mechanism, not the artifact. The four rhythms below are how a mid-market revenue org runs its week on top of the Strkr KPI dashboard. Each rhythm lives on the same tiles, draws from the same pipeline, and compounds the signal cycle over cycle. The pattern repeats across customers because the rhythm matches how disciplined revenue orgs already run their week.
Monday forecast call
VP dashboard opens the meeting.
The CRO opens the VP dashboard on the call-in screen. Current-quarter booked, coverage ratio, forecast commit, this-week movement, top ten deals at risk. The managers see the same numbers the CRO sees, which keeps the conversation on the same page from the first minute to the last. The call closes in 20 minutes.
Tuesday deal review
Manager dashboard runs the coaching hour.
The sales manager opens the team dashboard and sorts by gap-to-quota. The reps on the biggest gap list get the coaching hour first. The deal risk count drill-through surfaces the deals to review. The one-on-one agenda writes itself from the dashboard.
Daily AE rhythm
AE dashboard opens and closes the day.
The AE opens the rep dashboard with coffee: attainment, pace, pipeline, top three deals to move today. The AE closes the laptop at 5 pm with the same view, counting what moved today. The AE knows the quarter without opening a spreadsheet.
Friday RevOps sweep
Hygiene flags clear before Monday.
The RevOps lead opens the hygiene view on Friday afternoon. Missing close dates, missing amounts, dormant deals, stale stage transitions. Every red cell is clickable. The sweep clears before Monday, which keeps the forecast reading on clean data from the first open.
Full sales KPI dashboard on every paid tier.
Twenty KPIs, four role-keyed defaults, drill-through from any tile, mobile parity, permissioned sharing, AI insight tiles, and the dashboard template library. All inside the paid tier at the pricing shown on the pricing page.
The 20 KPIs mature revenue orgs track across the motion: quota attainment (rep, team, segment), pipeline coverage, forecast accuracy (MAPE, bias, hit rate), win rate by segment, avg deal size by segment and rep, cycle time, stage conversion, deals created, meetings booked, SQL conversion, rep activity volume, deal risk count, net new ARR, churn ARR with NDR, rep ramp, CAC payback, ACV by rep, lead-to-opp rate, discount rate, and pipeline velocity. Each one is tied to a decision the audience makes from the number. The vanity KPIs that are not on the list (dials-dialed-just-to-dial, pipeline-created-without-conversion-signal, meetings-booked-without-SQL-conversion) are the point: a KPI that does not drive a decision is not a KPI, it is a chart.
What sales KPIs should an AE focus on daily?
The AE opens five KPIs on the rep dashboard: current-period attainment with pace flag (am I on pace or behind), open pipeline by stage with top three deals at risk (which deals need a nudge today), meetings booked this week (am I keeping the top of funnel healthy), SQL conversion rate on recent meetings (am I qualifying well), and the Strkr AI next-best-action queue (what are the three actions that move the number this week). Not a wall of charts, just the number the AE is chasing and the smallest set of actions that moves it. The AE opens the dashboard with coffee and closes the laptop at 5 pm with the same view, counting what moved today.
What sales KPIs should a VP of Sales track weekly?
The VP opens eight KPIs on the leadership dashboard: current-quarter booked, open pipeline, coverage ratio, forecast commit versus most likely, this-week movement by stage, segment win-rate heatmap, cycle-time trend, and the top ten deals at risk. The Monday forecast call runs from the dashboard. The segment heatmap surfaces where the business is winning and where the business is leaking, which focuses the quarterly motion changes. The top-ten risk list sets the deal review agenda for the week. The VP who runs the Monday call from the dashboard instead of a slide deck gets a 20-minute meeting instead of an hour.
How do I avoid tracking vanity KPIs on my sales dashboard?
The test for a vanity KPI is simple: does the number drive a action from a audience? Dials-dialed is vanity if nobody acts on it; it becomes a real KPI only when a manager uses it to coach a low-activity rep. Pipeline-created is vanity if the created pipeline does not convert; it becomes a real KPI only when it is tied to a conversion signal (SQL rate, first-call-booked rate). Meetings-booked is vanity if nobody tracks the SQL conversion downstream. Every tile on a working dashboard answers "what will the audience do differently if this number is good versus bad?" If the answer is "nothing," cut the tile. Strkr ships 20 KPIs with the role audience named on each, which keeps the dashboards focused.
Can I customize the sales KPI dashboard for my team?
Yes. The dashboard builder lets any admin add a tile in three clicks, key the tile to a saved filter on any record type (deals, accounts, contacts, activities, custom objects), choose from eight tile types (KPI, funnel, leaderboard, trend chart, heatmap, record list, activity tile, AI insight), and lay the tile out on a responsive grid. The role-keyed defaults ship on day one and the ops lead clones a default, swaps in the local quota and segment, and ships the dashboard in minutes. Permissioned sharing keys the dashboard to a role, a team, or a user so the AE sees the AE view and the VP sees the VP view by default. The audit log tracks every change for compliance.
How does Strkr compare to other sales KPI dashboards?
Dedicated BI tools (Looker, Tableau, Power BI) ship deep dashboarding capability but run on CRM data through a connector with their own license. The dashboard sits on a snapshot of the CRM, which lags the live record. Native Salesforce or HubSpot dashboards ship inside the CRM but trail Strkr on AI insight tiles, confidence bands, and the breadth of role-keyed defaults. Strkr runs the dashboard on the live pipeline inside the CRM at the pricing already shown on the pricing page, with no analytics SKU, no per-seat BI add-on, and no connector lag. For mid-market revenue teams (10 to 300 seats) that want the KPI dashboard the whole team opens every morning, Strkr is the direct alternative with a smaller line item on the renewal.
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