Power BI CRM Pipeline Analysis Dashboard Template (Free PBIX Download)

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Power BI CRM Pipeline Analysis Dashboard Template (Free PBIX Download)
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Description

Introduction

This Power BI CRM Pipeline Analysis dashboard gives sales leaders a complete view of deal flow — from raw lead intake to closed revenue — across agents, company sizes, geographies, and industries. It surfaces the full funnel drop-off story: out of 3,000 leads, only 348 (11.6%) convert to closed deals, while 177 customers churn immediately after — a pipeline efficiency problem that demands structural attention. Built for B2B sales operations, it delivers the KPIs, trend lines, and segment-level breakdowns that revenue and CRM managers need to diagnose bottlenecks and prioritize interventions.

What's Inside This Template

KPI Banner

MetricValueWhat It Reveals
Closed Deals Value$931KTotal realized revenue from won deals
Closed Deals348Volume of won deals out of 3,000 leads
Leads3,000Total leads entering the pipeline
Conversion %11.6%Only 1 in ~8.6 leads closes
Avg Closed Deal Value$2,676Revenue per closed deal
Churned Customers177Post-sale attrition — 51% of customers lost
Average Close Days63Sales cycle length

Closed Deal Value & Avg Closed Deal Value by Month and Week

A combination bar + line chart tracking monthly closed deal value (bars) alongside weekly average closed deal value (line). March is the clear peak; the dashboard explicitly flags "significant underperformance over the past 7 weeks."

MonthClosed Deal Value (Approx.)
January~$100K
February~$150K
March~$200K+
April~$150K
May~$100K

Customers Status Pipeline

Horizontal bar funnel showing lead progression through CRM stages with % of First (total) label.

StatusCount% of 3,000
New3,000100%
Qualified2,48783%
Disqualified1,92064%
Sales Accepted1,74358%
Opportunity1,21541%
Customer34812%
Churned Customer1776%

Average Close Duration and Deals by Agents (Scatter Plot)

Plots each agent by Average Close Duration (x-axis, days) vs. number of Deals (y-axis). Most agents cluster between 55–70 close days and 25–50 deals. One clear outlier closes ~100 deals at ~50 days — the highest performer by both volume and speed. Toggle available between Duration and Churned views.

Closed Deals by Organization Size

Organization SizeClosed Deals
Medium (201–500)138
Small (11–200)112
Micro (1–10)79
Enterprise (100–...)11
Large (501–1000)8

Closed Deals by Countries (Map)

Bubble map across Europe and neighboring regions. Two countries lead with ~80 deals each; secondary markets show 52, 25, and 20. Roughly 46% of all closed deals concentrate in just two markets.

Closed Deals by Agents

AgentClosed Deals
Laura Thompson93
Jessica Martinez61
Michael Brown58
Kevin Anderson33
Emily Johnson31
John Smith27
Sarah Davis27
David Wilson18

Closed Deals by Industry

IndustryClosed Deals
Transportation & Logistics68
Banking and Finance47
IT & IT Services41
Government Administration & Health32
Professional Services & Consulting29
Education & Science20
Agriculture & Mining18
Retail & Distribution18
Telecommunications18
Manufacturing & Production16
Entertainment & Media & Hospitality12

Key Insights

The pipeline's net retention rate is just 5.7% — acquisition and retention are both broken simultaneously. Of 3,000 leads, 348 close (11.6%). Of those 348, 177 churn — leaving only 171 net active customers. Every dollar spent acquiring customers is immediately halved by attrition. CAC efficiency is structurally compromised until churn is addressed in parallel with conversion.

The Opportunity-to-Customer gate loses 71% of deals — this is where the pipeline bleeds out. 1,215 leads reach Opportunity status but only 348 close. That's a 29% close rate at the final stage. Whether the cause is pricing, proposal quality, or competitive loss, this single gate represents the highest-leverage fix in the entire funnel.

Revenue has dropped ~50% from its March peak and the decline has accelerated over 7 consecutive weeks. March closed at ~$200K+; May is tracking ~$100K. The dashboard explicitly flags "significant underperformance." This is not seasonal softness — it reflects pipeline depletion that was not replenished during the strong March period.

Laura Thompson drives 27% of all closed deals (93 of 348) — a dangerous single-point-of-failure for the team. The second-ranked agent, Jessica Martinez, closes 61 deals — 34% fewer. The top 3 agents together account for 212 of 348 deals (61%). If Thompson underperforms or churns, team output falls materially with no structural backstop.

Enterprise and Large companies account for only 19 closed deals combined — a near-total absence at the high-value end. Medium and Small companies drive 250 of 348 deals (72%). At an average deal value of $2,676, even adding 30 enterprise deals at a conservative $10K average would add $300K — a 32% revenue lift without touching SMB volume at all.

Transportation & Logistics alone accounts for 20% of closed deals, and the top 3 industries control 45% — vertical concentration risk is high. If Transportation or Banking faces a downturn, there is no diversified industry base to absorb the impact. Industries ranked 6–11 are each under 20 deals, too thin to compensate.

Who This Template Is For

  1. Sales Directors and VP of Sales who need a weekly CRM snapshot showing pipeline efficiency — conversion %, avg close days, churn rate — in one view without waiting on BI teams or exporting to Excel.
  2. Revenue Operations (RevOps) Analysts who need to pinpoint exactly where deals leak in the funnel — Qualified, Opportunity, or post-close churn — and present agent- and segment-level findings to leadership with data-backed visuals.
  3. CRM Managers and Sales Enablement Leads who need to identify coaching targets by comparing each agent's close duration against their deal volume, and benchmark underperformers against top closers like Laura Thompson.

How to Use

  1. Download the PBIX file from the Flexa Intel gallery.
  2. Open in Power BI Desktop (free from Microsoft — no premium license required).
  3. Connect your CRM data source — compatible with Salesforce, HubSpot, Pipedrive, Microsoft Dynamics 365, or any CRM exportable to CSV/Excel. Map fields to: Lead ID, Status, Close Date, Deal Value, Agent Name, Company Size, Country, Industry.
  4. All visuals refresh automatically — the funnel, KPI cards, scatter plot, map, and bar charts update instantly. Use date and region slicers to scope by quarter, territory, or agent team.


Want to drill beneath the pipeline charts into a structured deal-level table — showing each opportunity's status, agent, value, close date, and industry in a single sortable grid with conditional formatting by stage? Flexa Tables is a Microsoft-certified Power BI visual built for multi-column tabular CRM reporting with expandable row hierarchies by agent or territory and variance columns that highlight week-over-week close performance — exactly what pipeline reviews need beyond charts alone.

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