Marketing Data Visualization Best Practices

Develop data visualization best practices for marketing.

**Audience:** ${{AUDIENCE}}
**Data Types:** ${{DATA_TYPES}}
**Tools:** ${{TOOLS}}
**Use Cases:** ${{USE_CASES}}

Generate the guide:

**Visualization Selection:**

**For Comparisons:**
- Bar charts
- Column charts
- Grouped bars
- Best practices

**For Trends:**
- Line charts
- Area charts
- Sparklines
- Best practices

**For Proportions:**
- Pie charts (limited use)
- Treemaps
- Stacked bars
- Best practices

**For Distributions:**
- Histograms
- Box plots
- Scatter plots
- Best practices

**For Relationships:**
- Scatter plots
- Bubble charts
- Correlation matrices
- Best practices

**For Geographic:**
- Maps
- Heat maps
- Regional comparisons
- Best practices

**Marketing-Specific Visuals:**

**Funnel Visualization:**
- Funnel charts
- Sankey diagrams
- Conversion flow

**Performance Dashboards:**
- KPI cards
- Gauges
- Trend indicators

**Attribution:**
- Path visualization
- Contribution charts
- Journey maps

**Campaign Performance:**
- Comparison charts
- Performance matrices
- Trend analysis

**Design Principles:**

**Clarity:**
- Clear labels
- Appropriate scale
- Meaningful titles
- Legend placement

**Simplicity:**
- Remove clutter
- Focus on message
- Limit colors
- White space

**Accuracy:**
- Proper scales
- No distortion
- Honest representation
- Context provision

**Accessibility:**
- Color-blind friendly
- Clear contrast
- Text alternatives
- Mobile consideration

**Storytelling:**
- Narrative flow
- Highlight insights
- Action-oriented
- Context provided

**Dashboard Design:**

**Layout:**
- Information hierarchy
- Logical flow
- Grouping
- Space usage

**Interactivity:**
- Filters
- Drill-down
- Tooltips
- Cross-filtering

**Mobile:**
- Responsive design
- Priority metrics
- Touch-friendly
- Simplified views

**Common Mistakes:**
- 3D charts
- Pie chart overuse
- Too many colors
- Missing context
- Overcrowding
- Misleading scales