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Most teams use Close Reports as a passive dashboard nobody opens. Wired correctly, Reports + Leaderboards drive 15-25% activity lift in 30 days and turn the Monday review from theater into real coaching. Here is the setup that compounds.
Who this is forSales managers, RevOps leads, and founders who run sales reviews themselves. If your weekly stand-up is reps reading numbers off a screen instead of discussing what to do differently, this is the rebuild.
What you'll need
Step 1
Reports → Sales / Activity / Opportunities. Most teams track 20 metrics; only 5 drive action. The rest is noise.
Metric 1 — Calls per Rep per Day: target 80-120 dials/day for SDRs, 30-60 for AEs. Leading indicator of pipeline.
Metric 2 — Connect Rate (Connects / Dials): target 10-15% on cold outbound. Below = number health or queue quality issue.
Metric 3 — Connect-to-Meeting Rate (Meetings Booked / Connects): target 4-10%. Below = qualification or pitch issue.
Metric 4 — Pipeline Coverage (Open Pipeline Value / Quota): target 3-4x. Below = need more top-of-funnel; above = forecast may be padded with zombies.
Metric 5 — Forecast Accuracy (Commit vs Actual, rolling 90 days): target ±15%. Drift = pipeline hygiene problem.
Pin these 5 to the team dashboard. Everything else is supporting detail, not the headline.
Step 2
Reports → Activity → filter by user / date / activity type. Build the 30-day rolling Activity report and pin to your dashboard.
Reports (left sidebar) → Activity Overview → date range "last 30 days" → group by User.
Columns to show: Calls Made, Calls Connected, Emails Sent, Replies Received, Meetings Booked, SMS Sent.
Save as "Team Activity — 30 Day Rolling" → pin to your custom dashboard.
Build a second variant: same report, "last 7 days" — useful for weekly review where you spot week-over-week trends.
Compare reps side-by-side. The variance between top and bottom rep on the same activity is usually 2-3x — that is the coaching opportunity.
Step 3
Reports → Sales → Pipeline → set up the weighted-forecast view. This is the report you bring to board meetings.
Reports → Sales → Pipeline → date range "this quarter" → group by Opportunity Status.
Shows: total pipeline value (sum of Value), weighted pipeline (sum of Value × Confidence %), deals by Status, count of deals per Status.
Add filter: Pipeline = "New Business" (or whichever pipeline you forecast against). Mixing pipelines = useless aggregate.
Save as "Q-Pipeline — New Business" → pin to dashboard.
Compare weighted pipeline to quota: weighted / quota should be ~1.0-1.3x by mid-quarter for healthy coverage. Below 0.8x = pipeline gap; above 2.0x = forecast may be padded with stuck deals.
Step 4
Reports → Leaderboards → New Leaderboard. Pick a metric, share with the team, watch activity lift 15-25% in 30 days.
Reports → Leaderboards → New Leaderboard.
Leaderboard 1 — "Calls Made This Week": metric = Calls Made, range = current week, group = User. Resets Monday.
Leaderboard 2 — "Meetings Booked This Month": metric = Meetings (Created), range = current month, group = User.
Leaderboard 3 — "Pipeline Generated": metric = sum of Opportunity Value created, range = current month, group = User.
Share the Leaderboard URL in #sales Slack channel daily. Pin to TV monitors in the office if you have one.
Most teams see 15-25% activity lift in the first 30 days from Leaderboards alone. The social-proof loop is real.
Step 5
Sequences → click each → Reports tab. Build a comparison view of all active Sequences. Kill what does not work.
Sequences → click each active Sequence → Reports tab → see Sends / Opens / Replies / Bounces / Meetings.
Build a spreadsheet (or Close Insights view if available) comparing all active Sequences on: reply rate, meeting-booked rate, total sends.
Healthy benchmarks: reply rate 3-8%, meetings 0.5-2% of total sends. Anything below = kill or rewrite.
Quarterly: audit every Sequence. Sequences with <500 sends and <2% reply rate are statistically noise — kill them. Sequences with 500+ sends and 3%+ reply rate are winners — clone the pattern.
Most Sequence libraries have 3-5 winners producing 80% of meetings and 10-15 zombies producing nothing but inbox damage. The audit is what surfaces this.
Step 6
The report is not the win. The conversation it triggers is. Build the 30-min weekly review around 3 reports + 2 questions.
Monday 9am, 30 min, whole sales team. Open the same 3 reports every week: Activity (last 7 days), Pipeline (this quarter), Forecast (this month).
Question 1 (5 min): Where did activity surprise us this week? (positive or negative — what changed?)
Question 2 (15 min): What are the 3 biggest deals this month and what is each blocked on? (deal-by-deal walk-through, AE owns the answer)
Last 10 min: 1 specific commitment per rep for the coming week. Not "do better at follow-up" — "send the proposal to Stripe by Wednesday."
Without the structured questions, the review becomes 30 minutes of reading numbers. The report is the input; the conversation is the output.
Step 7
Stage-to-stage conversion is the metric most teams ignore. Build a funnel report and the leak point becomes obvious.
Build a custom report (or Insights / SQL if on Business plan): count Opportunities at each Status over a 90-day cohort.
Compute conversion: Discovery Booked → Demo Completed = ?%. Demo Completed → Proposal Sent = ?%. Proposal Sent → Won = ?%.
Healthy B2B SaaS benchmarks: Discovery Booked → Demo 50-70%. Demo → Proposal 30-50%. Proposal → Won 25-45%.
The leak point (lowest stage-to-stage conversion) tells you where to invest coaching, content, or process change. "Close harder" never works if the leak is at qualification.
Re-run quarterly. Conversion trends > 30 days are signal; weekly fluctuations are noise.
Common mistakes
Pinning 20 metrics to the dashboard
What goes wrong: Manager opens dashboard, sees 20 numbers, defaults to scanning the same 3. The other 17 take up real estate. New hires get overwhelmed. Coaching becomes 'look at all these numbers' instead of 'here are the 5 we act on.'
How to avoid: Pin 5 metrics max to the team dashboard. Detail reports live one click deeper. Calls/day, Connect Rate, Connect-to-Meeting, Pipeline Coverage, Forecast Accuracy.
Leaderboarding only meetings booked (without show-rate)
What goes wrong: Reps optimize for booking junk meetings. Show-rate drops from 80% to 50%. AEs waste hours on no-shows. Pipeline created looks healthy; converted pipeline collapses 2 quarters later. By the time it surfaces, the comp plan has been paying out on vanity metrics.
How to avoid: Leaderboard meetings booked AND meeting show-rate (Show-Rate target >75%). Reps who book lots of meetings that don't show drop on the show-rate board — corrective signal.
No Sequence performance audit
What goes wrong: 14 Sequences active. 3 produce 80% of meetings. 11 produce nothing but inbox spam complaints. Sender reputation degrades. Reply rates across ALL Sequences fall over months. Nobody notices until the day a hot deal's email lands in spam and is lost.
How to avoid: Quarterly Sequence audit: kill anything with <500 sends and <2% reply rate. Clone the winners. Maintain library at 4-6 Sequences, not 14.
Weekly review reads numbers instead of triggering decisions
What goes wrong: 30-min review = 30 min of reps reading their numbers. No commitments come out of it. Same problems show up next week. Manager spends 26 hours/quarter on a meeting that produces 0 behavior change. At $150/hr manager-cost = $3,900/quarter wasted plus opportunity cost.
How to avoid: 3 reports + 2 structured questions + 1 specific commitment per rep. Walk the 3 biggest deals. Cut everything else.
Looking at activity in isolation from outcomes
What goes wrong: Rep makes 150 dials/day but books 2 meetings/month. Looks like a top activity performer on Leaderboards. Coaching ignores them because the activity is high. Three quarters later they get fired for missing quota. The pattern was visible from month 2 if anyone had looked at connect-to-meeting rate.
How to avoid: Always pair activity with outcome metrics. Dials AND Connect Rate. Emails AND Reply Rate. Meetings AND Show-Rate. Leaderboard 2 metrics, not 1.
Setting forecast and never recalibrating Confidence %
What goes wrong: Confidence % set at workspace launch in 2024. Sales motion has shifted (now selling to larger accounts with longer cycles). Confidence % still reflects 2024's quicker close rates. Weighted forecast is 30% too high every quarter. Reps are coached on missing forecast that was never realistic.
How to avoid: Quarterly: recalibrate Confidence % from last 6 months of close data. If close rates shift, the forecast methodology has to shift with them.
Recap
Done — what's next
How to set up Close Opportunities and pipelines that produce accurate forecasts
Read the next tutorial
Hand it off
Reports + Leaderboards + a real weekly cadence is the difference between a CRM that drives behavior and a CRM that records it. A specialist who has run 50+ weekly sales reviews knows which 5 metrics to surface and how to wire the conversation. EverestX Close specialists run $400-1,200/mo at $14-16/hr.
See specialist rates
Startup plan: pre-built activity + pipeline reports, no custom report builder. Professional ($109/user/mo): custom Reports, Leaderboards, Sequence performance. Business ($149/user/mo): adds Insights (SQL-based reporting), advanced filtering, predictive scoring. For most teams Professional is enough; Business is only worth it if you need raw SQL access.
Yes. Reports have CSV export. For real-time syncing into BI tools (Looker, Tableau, Metabase) use Close's API or a connector like Fivetran / Hightouch / Census. Most teams export weekly CSVs for the first 6 months, then build proper sync when reporting volume justifies the engineering cost.
Leaderboards can filter by User Group. Create Group 'SDRs' and Group 'AEs.' Build separate Leaderboards per group with role-appropriate metrics (SDRs: Dials, Meetings Booked; AEs: Pipeline Created, Deals Won). Mixing roles on one Leaderboard demotivates everyone — SDRs always look bad on closed revenue, AEs always look bad on dial volume.
Small weekly prizes ($25-50 Amazon, lunch, parking spot) work well for activity metrics (dial volume, meetings booked). Larger monthly prizes for outcome metrics (pipeline generated, deals won). Avoid prizes for metrics that can be gamed — 'leads created' becomes 'spam the CRM with junk leads' if a $100 prize is attached.
Quarterly: review whether each tracked metric is still driving a behavior or decision. Add 1 new metric you want to influence; cut 1 metric that has stopped moving the needle. Most teams add metrics every quarter and never cut — dashboard accretes from 5 to 22 metrics over 18 months. The discipline is in the cutting.
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