Variables & Data Fields

Variables and data fields let you capture, store, and reuse information throughout your video flow. Track user responses, personalize content, and create dynamic experiences that adapt to each viewer.

What Are Variables?

Variables are containers that store data during a viewer's journey through your video. They can hold:

• User responses to questions

• Data from your CRM or database

• Calculated values (scores, totals, etc.)

• System information (time, date, etc.)

Types of Variables

User Input Variables

Capture responses from interactive elements:

Examples:

• user_name — "John Smith"

• company_size — "Enterprise"

• budget_range — "$10,000-$50,000"

• preferred_features — ["Analytics", "Automation"]

Calculated Variables

Derived from user interactions or data processing:

Examples:

• quiz_score — 85 (calculated from answers)

• total_points — 150 (sum of all interactions)

• time_spent — 245 (seconds in video)

• completion_percentage — 75%

System Variables

Automatically provided by the platform:

Examples:

• current_time — "2024-01-15 14:30:00"

• viewer_id — "user_12345"

• session_start — "2024-01-15 14:25:00"

• device_type — "mobile"

Using Variables in Your Flow

Displaying Variables

Show variable values in your content:

Examples:

• "Hello, {{user_name}}!"

• "Your score: {{quiz_score}}/100"

• "Based on your {{company_size}} needs..."

• "You've earned {{total_points}} points"

Conditional Logic

Use variables to control branching:

Examples:

IF quiz_score >= 80 THEN show "Advanced" content
IF company_size = "Enterprise" THEN show enterprise features
IF total_points > 100 THEN show bonus offer

Dynamic Content

Personalize based on stored data:

Examples:

• Show different product recommendations based on preferred_features

• Display custom pricing based on budget_range

• Adjust content length based on time_spent

Real-World Examples

Customer Onboarding Flow

Variables captured:
- user_name: "Sarah Johnson"
- company_size: "Mid-market"
- primary_goal: "Increase efficiency"
- team_size: 25

Used for:
- Personalized greeting: "Hi Sarah!"
- Relevant features: Show mid-market solutions
- Custom messaging: Focus on efficiency benefits
- Team recommendations: Suggest 25-user package

Product Recommendation Quiz

Variables captured:
- budget: "$5,000-$10,000"
- use_case: "Marketing automation"
- experience_level: "Intermediate"
- timeline: "3 months"

Calculated:
- recommendation_score: 85
- best_product: "Pro Plan"
- estimated_roi: "$15,000"

Used for:
- Product recommendation: "Based on your needs, we recommend Pro Plan"
- ROI projection: "Expected ROI: $15,000"
- Next steps: "Schedule a demo for Pro Plan"

Advanced Variable Features

Variable Arrays

Store multiple values in a single variable:

Examples:

• selected_features — ["Analytics", "Automation", "Reporting"]

• quiz_answers — ["A", "B", "C", "A", "B"]

• interaction_history — ["clicked_demo", "viewed_pricing", "downloaded_guide"]

Variable Calculations

Perform math operations on variables:

Examples:

• total_cost = base_price + add_ons

• discount_amount = original_price * 0.15

• final_score = (correct_answers / total_questions) * 100

Variable Persistence

Store variables across sessions:

Examples:

• Remember user preferences for future visits

• Track cumulative engagement across multiple videos

• Build user profiles over time

Best Practices

Variable Naming

• Use descriptive names — user_company_size instead of var1

• Follow consistent conventions — Use underscores for multi-word variables

• Avoid reserved words — Don't use system keywords

• Document your variables — Keep a list of what each variable stores

Data Management

• Validate input — Ensure data is in expected format

• Handle missing data — Provide fallbacks for empty variables

• Clean data — Remove unnecessary spaces, format consistently

• Secure sensitive data — Don't store passwords or personal info in variables

Performance

• Limit variable count — Too many variables can slow performance

• Use appropriate data types — Text, numbers, dates, etc.

• Clean up unused variables — Remove variables you no longer need

• Optimize calculations — Keep complex calculations simple

Common Use Cases

• Personalized greetings and messaging

• Dynamic product recommendations

• Quiz scoring and results

• Progress tracking and gamification

• A/B testing and optimization

• Lead qualification and scoring

• Customer journey mapping

---

Ready to personalize your content? Learn about dynamic data fields for advanced personalization.