Analyze Sales and Pipeline Data From Excel or CRM Exports

Upload a structured spreadsheet or platform export to create a focused analytics view with verified metrics, comparisons, and charts. Start with the broad analysis below, then move into a dedicated workflow when you need deeper calculations for pipeline, representatives, regions, win-loss, sources, products, and quota.

Supports structured CSV and Excel files. Display only file limits, privacy wording, and export options confirmed in the live product.

Drop your CSV or Excel file here to generate instant insightsDrag and drop your file here, or click to browse
Demo

See CRM exports become pipeline, rep, and win-rate KPIs and charts

Use the fixed preview below to switch between the source spreadsheet and a dashboard sample. Open the full demo in a new tab for every KPI and chart used in the sales analytics tool workflow.

Sales Analytics Tool

Interactive preview from the sample CRM export dataset

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Total Records

48

rows in sample

Total Pipeline Created Value

7,308,181

sum of Pipeline Created Value

Total Open Pipeline Value

2,923,243

sum of Open Pipeline Value

Pipeline Created Value vs Open Pipeline Value

Grouped by Date

Full dashboard with all KPI details and 6 charts is on the demo page.

Open full demo

What the live demo includes

  • Auto-detected KPI cards for pipeline value, won revenue, and win rate
  • Stage and status breakdown views when deal stage fields exist
  • Representative, region, product, and lead source comparison charts
  • Win and loss trend views using clearly defined closed-deal denominators
  • Switch between Spreadsheet and Dashboard tabs in the live preview
  • Open the full demo in a new tab for every generated chart type

The sample tracks 4 representatives across 4 regions and 12 months, with $293,902 open pipeline in Jun 2026.

Sample win rate: 57.1% from 24 won and 18 lost deals.

Why This Workflow Is Useful

The decision it supports

Help visitors choose the correct sales workflow for pipeline, quota, product, region, performance, or win/loss analysis.

Why the result can be trusted

Sales reporting is reliable only when stages, ownership, dates, and amounts use consistent definitions. The output should reveal movement and bottlenecks rather than repeat the CRM total.

Example dataset

The hub uses file type and business question to route each visitor to one distinct workflow. The sample includes 12 months of CRM export rows across 4 products and 4 lead sources.

Why VizMint is different from a generic template

  • Begin with the structured file the user already has.
  • Explain required fields before upload and show detected mapping after upload.
  • Display formulas, reporting scope, exclusions, and missing-field behaviour beside the result.
  • Use one synthetic file across the download, preview, expected results, screenshot, and demo.
  • Connect headline metrics to the records or grouped table that explain them.
  • State plan, export, privacy, integration, and automation details only when they are available in the current product.

The workflow is designed around stage definitions, conversion denominators, and direct links from KPIs to supporting opportunities.

What You Can Analyze

This hub covers pipeline health, representative performance, regional and product splits, win-loss analysis, lead sources, and quota attainment when target data exists — each with visible definitions beside the result.

Sales Pipeline

Open pipeline value, deal count, stage distribution, weighted pipeline, and expected close dates.

Representative Performance

Revenue, wins, conversion, average deal value, and activity by sales representative.

Regional and Product Performance

Sales value and volume across regions, products, categories, or business units.

Win/Loss Analysis

Won and lost deals, win rate, loss reasons, and performance by stage or representative.

Quota Attainment

Actual revenue compared with quota when target data uses aligned periods and owners.

Verified Comparisons

Charts and rate definitions remain visible beside every computed metric.

Questions this analytics hub can help answer

  • How much pipeline is open at each stage?
  • Which representatives and regions perform best?
  • Why are deals lost?
  • How does actual revenue compare with quota?
  • See How the Source File Becomes a VizMint Output

    Use the sample CRM export to follow the source rows, field mapping, validation, and final output as one reproducible workflow.

    Before: Structured Source Data

    5 of 48 rows

    The source preview highlights the exact columns and representative rows used by the workflow.

    DateQuarterRegionSales RepresentativePipeline Created Value
    2025-07-01Q3 2025NorthJordan Lee127,764
    2025-07-01Q3 2025SouthAisha Karim113,415
    2025-07-01Q3 2025EastOmar Rahman123,678
    2025-07-01Q3 2025WestSara Ahmed119,135
    2025-08-01Q3 2025NorthJordan Lee154,594

    After: Generated VizMint Output

    The finished output includes KPI cards, charts, tables, and report views described in the workflow.

    Open Pipeline$293,902Jun 2026 snapshot · 35 open deals
    Won Revenue$243,883Omar Rahman leads reps at $70,253
    Win Rate57.1%24 won / 42 closed

    Pipeline Created Value vs Open Pipeline Value

    Grouped by Date

    Data to Include in Your File

    Use one clear header row and one consistent record per row. The exact required fields depend on the selected analysis. VizMint should detect available fields, show what can be calculated, and hide metrics that require missing data.

    Data columns to include

    Deal ID

    Requirement
    Core
    Example
    DEAL-2048
    Purpose
    Identifies and groups records accurately

    Created date

    Requirement
    Core
    Example
    2026-06-01
    Purpose
    Creates trends and period comparisons

    Close date

    Requirement
    Core
    Example
    2026-06-01
    Purpose
    Creates trends and period comparisons

    Stage

    Requirement
    Core
    Example
    Qualified
    Purpose
    Enables workflow, funnel, and status analysis

    Status

    Requirement
    Core
    Example
    Open
    Purpose
    Enables workflow, funnel, and status analysis

    Deal value

    Requirement
    Recommended
    Example
    12500.00
    Purpose
    Supports totals, comparisons, and financial calculations

    Sales representative

    Requirement
    Recommended
    Example
    Jordan Lee
    Purpose
    Supports totals, comparisons, and financial calculations

    Region

    Requirement
    Recommended
    Example
    North
    Purpose
    Adds a useful breakdown or comparison

    Product

    Requirement
    Recommended
    Example
    SKU-1042
    Purpose
    Identifies and groups records accurately

    Lead source

    Requirement
    Recommended
    Example
    Referral
    Purpose
    Adds context and improves analysis

    Loss reason

    Requirement
    Recommended
    Example
    Customer request
    Purpose
    Adds context and improves analysis

    Quota or target

    Requirement
    Recommended
    Example
    150000
    Purpose
    Adds context and improves analysis

    Sample Metrics From the CRM Export

    Sales Pipeline

    $293,902 open pipeline and $105,768 weighted pipeline in Jun 2026 across 4 regions.

    Representative Performance

    Omar Rahman leads won revenue at $70,253 in the latest reporting month.

    Regional and Product Performance

    West holds the largest open pipeline share at $78,617. Product and category splits appear when product fields are mapped.

    Win/Loss Analysis

    Win rate 57.1% from 24 won and 18 lost deals in Jun 2026.

    Lead Source Breakdown

    4 lead sources in the sample file support source-level conversion and revenue comparisons when source fields are present.

    Quota Attainment

    Requires quota or target fields aligned to the same owners and reporting periods. The sample CRM export does not include quota columns, so attainment metrics are hidden in the preview.

    Charts and Visualizations

    Charts and visualizations

    Pipeline by Stage

    Required Fields
    Stage, Status, Deal value, Close date
    Business Question
    Shows open pipeline value, deal count, and stage distribution for the selected records.

    Representative Performance

    Required Fields
    Sales representative, Won Revenue, Won Deals, Activity Count
    Business Question
    Compares revenue, wins, conversion, and activity by sales representative.

    Regional Performance

    Required Fields
    Region, Won Revenue, Open Pipeline Value, Deal Count
    Business Question
    Shows sales value and volume across regions or territories.

    Product Performance

    Required Fields
    Product, Won Revenue, Won Deals, Deal Count
    Business Question
    Compares revenue and deal volume by product, category, or SKU.

    Win/Loss Trend

    Required Fields
    Month, Won Deals, Lost Deals, Won Revenue, Lost Deal Value
    Business Question
    Shows won and lost deals, win rate, and loss value over time.

    Lead Source Analysis

    Required Fields
    Lead Source, Won Deals, Lost Deals, Won Revenue
    Business Question
    Compares conversion and revenue contribution by acquisition source.

    Quota Attainment

    Required Fields
    Sales representative, Won Revenue, Quota or target, Period
    Business Question
    Compares actual revenue with quota when target data uses aligned periods and owners.

    How the Workflow Works

    STEP 1

    Upload a File

    Upload a CSV, Excel file, or supported export containing the records you want to analyze.

    STEP 2

    Select the Correct Sheet

    Choose the worksheet that contains the main structured table.

    STEP 3

    Confirm Field Mapping

    Review identifiers, dates, numeric values, categories, statuses, and target fields.

    STEP 4

    Review the Preview

    Check record counts, missing values, duplicates, date coverage, and any excluded rows.

    STEP 5

    Generate the Analysis

    Create the supported KPI cards, charts, and comparison tables.

    STEP 6

    Open a Focused Workflow

    Move to a dedicated workflow when you need deeper calculations, a specialized sample, or a purpose-built output.

    How the Calculations Work

    How the calculations work

    Win Rate

    Formula or Method
    Won deals ÷ (won deals + lost deals) × 100
    Required Fields
    Won Deals, Lost Deals, and a consistent closed-deal definition
    Important Rule
    Open deals must be excluded from the denominator unless the workflow explicitly defines a funnel conversion stage.

    Open Pipeline Value

    Formula or Method
    Sum of deal value for records with open status in the selected scope
    Required Fields
    Deal value, Status, Stage, and Close date
    Important Rule
    If close dates or status definitions differ across rows, dependent pipeline metrics should be hidden or explained.

    Weighted Pipeline

    Formula or Method
    Sum of deal value × stage probability for open deals
    Required Fields
    Deal value, Stage, and a verified stage-weight model
    Important Rule
    Stage weights must remain visible beside the result and use one consistent probability map.

    Quota Attainment

    Formula or Method
    Actual revenue ÷ quota or target × 100
    Required Fields
    Won Revenue, Quota or target, Sales representative, and aligned reporting period
    Important Rule
    If targets use a different period or owner mapping than revenue rows, attainment should not be calculated.

    Featured Workflows

    Sales by Region

    Use the sales by region content or workflow when the user needs a more specific analysis than the broad hub provides.

    Win/Loss Analysis

    Use the win/loss analysis content or workflow when the user needs a more specific analysis than the broad hub provides.

    Quota Attainment Dashboard

    Use the quota attainment dashboard content or workflow when the user needs a more specific analysis than the broad hub provides.

    Lead Conversion Funnel

    Use the lead conversion funnel content or workflow when the user needs a more specific analysis than the broad hub provides.

    This hub starts broad, then routes you into a purpose-built workflow for deeper calculations.

    View Live Demo

    Common Data Problems and How to Fix Them

    Common data problems and how to fix them

    Duplicate deals

    Recommended Fix
    Use a stable identifier, review repeated rows, and remove or reconcile duplicates before calculation.

    Stage-name variations

    Recommended Fix
    Standardize labels so the same entity or category uses one consistent value.

    Mixed currencies

    Recommended Fix
    Keep currencies separate or convert them with a verified exchange-rate method before aggregation.

    Missing close dates

    Recommended Fix
    Add the missing field when available; otherwise hide dependent metrics and explain the limitation.

    Unaligned target periods

    Recommended Fix
    Use consistent date formats and align records to the same reporting period.

    Who This Page Is For

    • Sales leaders
    • Revenue operations teams
    • Business owners
    • Sales managers
    • CRM users

    Common Use Cases

    • Pipeline review
    • Weekly sales reporting
    • Rep performance
    • Win-loss analysis
    • Quota tracking

    Important Limitations

    • Do not calculate metrics when their required identifiers, dates, denominators, costs, targets, or statuses are missing.
    • Keep different currencies, units, or time periods separate unless a verified normalization method is available.
    • Do not claim prediction, automation, direct integration, compliance, or operational management unless the production product provides it.
    • Show the calculation definition and reporting scope beside every rate or percentage.

    Choose the Right Approach

    Excel alone is enough when

    • The dataset is small and the report is genuinely one-off.
    • One spreadsheet owner can safely maintain formulas, pivots, and ranges.
    • The audience does not need a repeatable upload-to-output workflow.

    A traditional BI tool is a better fit when

    • The organization needs governed models, live connectors, row-level security, and enterprise distribution.
    • A data team can maintain transformations and a semantic layer.

    VizMint is a strong fit when

    • The starting point is a structured CSV or Excel file.
    • The user needs a guided workflow without manually building every formula and chart.
    • Clear field requirements, transparent calculations, reproducible samples, and shareable outputs matter.

    VizMint analyzes exports; it does not replace the accounting, CRM, help-desk, HR, warehouse, advertising, or project-management system that produced them.

    Frequently Asked Questions

    Frequently Asked Questions

    Turn Your Spreadsheet Into a Clear Sales Analytics View

    Upload a structured file to review the available metrics, comparisons, and charts, then open the focused workflow that matches your reporting goal.