Content Mapping Reference
This file provides guidance for mapping source data to pitch deck
template sections. The process is template-agnostic—these principles
apply regardless of the specific template design.
Contents
Template Analysis Process
Before populating any template, analyze its structure:
Step 1: Identify All Content
Areas
Scan each slide for:
- Title/header placeholders — Where slide titles
go
- Subtitle/definition areas — Secondary headers or
definitions
- Content boxes — Main content areas (may have label
sidebars)
- Table placeholders — Areas designated for tabular
data
- Chart/visual areas — Spaces for charts, diagrams,
or images
- Metric callout boxes — Highlighted key figures
- Footnote/source bars — Bottom areas for citations
and notes
- Logo placeholder — Usually top-right corner
Step 2: Note Template
Conventions
Each template has its own style. Observe:
- Color scheme — What colors are used for headers,
backgrounds, accents?
- Font choices — What fonts and sizes are already
set?
- Box styling — Do content boxes have sidebars,
borders, or shading?
- Bullet styles — What bullet symbols does the
template use?
- Alignment patterns — How are parallel sections
aligned?
Step 3: Identify
Instruction vs. Output Areas
Templates often include guidance:
- Instruction boxes — Colored boxes with guidance
text (often yellow background, white text)
- Placeholder text — Text in [brackets] indicating
what to replace
- Example content — Sample content showing expected
format
Key distinction: Instruction boxes tell you what to
do; they should be reformatted or removed in final output. Output areas
are where your content goes.
Content Mapping Workflow
Step 1: Inventory Source Data
Create a list of all available data:
- Market size figures and ranges
- Growth rates (CAGR, YoY)
- Company names and descriptions
- Segment definitions
- Financial metrics
- Source citations and dates
- Footnote content
Step 2: Match Data to
Template Sections
For each template section, identify:
| Template Section |
Required Data |
Source Location |
| [Section name] |
[Data needed] |
[Where to find it] |
Step 3: Identify Gaps
After mapping, note:
- Missing data — Template requires data not in
sources
- Extra data — Sources contain data with no template
home
- Format mismatches — Data exists but in wrong
format
Step 4: Resolve Gaps
Before Populating
- Missing data: Flag for user or search for additional sources
- Extra data: Confirm if it should be excluded or if template needs
adjustment
- Format mismatches: Transform data to required format
Common Slide Types and
Data Requirements
These are typical data requirements for common slide types. Your
specific template may vary—always follow the template's actual
structure.
Market Definition Slides
Typical content areas:
- Segments included in scope (with examples/key players)
- Segments excluded from scope (with examples)
- Market definition text
- Scope rationale/justification
Data mapping considerations:
- Source data should clearly distinguish included vs. excluded
segments
- Key players should be mapped to their respective segments
- Definition text should align with how sources define the market
Data typically needed:
- List of market segments to include (with key player examples)
- List of market segments to exclude (with examples)
- Market definition text
- Scope rationale or justification
Formatting principle: Parallel sections (included
vs. excluded) should use matching formatting.
Verification questions:
- Does every segment have the appropriate symbol (✓ for included, ×
for excluded)?
- Are key players correctly assigned to segments?
- Does the definition match the source methodology?
Market Sizing / TAM Slides
Typical content areas:
- Current market size (with year)
- Growth rate (CAGR with period)
- Future projection (with target year)
- Source-by-source breakdown table
- Consensus/summary figures
- Key takeaways or insights
Data typically needed:
- Market size figures with base year
- Growth rates (CAGR with time period)
- Projection figures with target year
- Source citations for each data point
Example column headers: Source | [Base Year] Size |
CAGR | [Target Year] Projection
Formatting principle: If showing multiple sources,
include a consensus/summary row.
Data mapping considerations:
- Multiple sources may have different estimates—map each to table
rows
- Consensus figures require calculation from individual sources
- Projections should be verifiable using CAGR formula
Verification questions:
- Do all source figures match original documents?
- Is the consensus calculated correctly (not just copied from one
source)?
- Are projection years consistent across all figures?
- Do CAGR-based projections match when manually verified?
Competitive Landscape Slides
Typical content areas:
- Comparison table with competitors as columns
- Feature/capability rows
- Financial metric rows (revenue, growth, market share)
- Key observations or positioning notes
Data typically needed:
- List of competitors to compare
- Features or capabilities for each
- Financial metrics (revenue, growth, market share) if available
- Time period for financial data
Formatting principle: Subject company should be
visually distinguished from competitors (e.g., bold text, different
background color, border, or positioned in rightmost column).
Data mapping considerations:
- Ensure all competitors from source data are included
- Feature comparisons should use consistent criteria
- Financial figures should be from comparable periods
Verification questions:
- Are all competitors from the source data represented?
- Is the subject company visually distinguished?
- Are financial figures from the same time period?
- Is the ✓/× usage consistent and accurate?
Financial Summary Slides
Typical content areas:
- Key metric callouts (headline figures)
- Historical financials table (actuals)
- Projected financials table (estimates)
- Growth rates and margins
- Optional trend charts
Data typically needed:
- Historical financials (actuals) for recent years
- Projected financials (estimates) for future years
- Key metrics: Revenue, Growth %, Margins, EBITDA
Example column headers: Metric | FY[Year-2] |
FY[Year-1] | FY[Year]A | FY[Year+1]E | FY[Year+2]E
Formatting principle: Clearly distinguish historical
(A) from projected (E) data.
Data mapping considerations:
- Clearly distinguish historical (A) from projected (E) data
- Ensure metric definitions match source (Revenue vs. Net Revenue,
EBITDA vs. Adjusted EBITDA)
- Growth rates should be calculated consistently
Verification questions:
- Are historical vs. projected periods clearly labeled?
- Do calculated growth rates match source or manual calculation?
- Are metric definitions consistent with source documents?
Transaction Comparables
Slides
Typical content areas:
- Transaction table (date, target, acquirer, deal value)
- Valuation multiples (EV/Revenue, EV/EBITDA)
- Summary statistics (mean, median, high, low)
- Implied valuation for subject company
Data typically needed:
- Transaction details: Date, Target, Acquirer, Deal Value
- Valuation multiples: EV/Revenue, EV/EBITDA
- Subject company metrics for implied valuation
Formatting principle: Include summary statistics
(Mean, Median, High, Low) for multiples.
Data mapping considerations:
- Multiples should be calculated from transaction data, not just
copied
- Summary statistics require calculation across all transactions
- Implied valuation applies multiples to subject company metrics
Verification questions:
- Are all relevant transactions from the source included?
- Are multiples calculated correctly (EV ÷ Metric)?
- Do summary statistics cover all transactions in the table?
- Is implied valuation clearly labeled as illustrative?
Mapping Verification
Checklist
Before moving to formatting, verify mapping completeness:
Data Completeness
Data Accuracy
Logical Consistency
Source Attribution
Handling Data-Template
Mismatches
Template Requires
More Data Than Available
Options:
- Flag the gap explicitly for user review
- Mark section as "Data not available" with explanation
- Search for additional sources if appropriate
- Recommend template adjustment if data doesn't exist
Do not: Fabricate data or make unsupported
estimates.
Source Has More
Data Than Template Accommodates
Options:
- Include most relevant/recent data points
- Summarize or aggregate where appropriate
- Add footnotes referencing additional available data
- Recommend template expansion if data is critical
Common transformations:
- Individual figures → Range (use min-max from sources)
- Detailed breakdown → Summary category
- Annual figures → CAGR (calculate from endpoints)
- Absolute values → Percentages (calculate share)
- Multiple sources → Consensus (apply methodology)
Template Uses Different
Terminology
Resolution process:
- Identify template term and source term
- Confirm they refer to the same concept
- Use template terminology in output
- Add footnote if clarification needed
Template-Specific Adaptation
Remember: This guidance describes common patterns, not requirements.
Always:
- Follow the template — If template uses different
section names, use those
- Match template style — Use template's existing
fonts, colors, bullet styles
- Preserve template structure — Don't rearrange
sections unless necessary
- Respect template spacing — Content should fit
designated areas without overflow
The goal is to populate the template as designed, not to redesign
it.