Marketing Campaign ROI Analyzer

Marketing Campaign ROI Analyzer

Pharmaceutical marketing teams invest millions in speaker programs, digital campaigns, and promotional initiatives, but connecting these activities to prescription outcomes requires manual analysis across disconnected data sources.

Post-campaign analysis: Triggers 4-6 weeks after campaign completion for script lift measurement
Quarterly marketing review: Comprehensive ROI analysis across all active campaigns
Campaign performance summary with reach, engagement, and cost metrics
Script lift analysis comparing exposed vs. control groups

Campaign ROI Analysis

Q4 Speaker Program • Post-campaign review

3.2x ROI
Campaign ROI
3.2x
Script Lift
+14%vs control
Cost per NRx
$84
Reach
2,847HCPs engaged
Channel Performance
Speaker Programs4.1x ROI
Digital HCP2.8x ROI
Print1.4x ROI
Optimization Opportunities
Scale speakersDigital targetingReduce print

Built for marketing teams
who demand accuracy

Pharmaceutical marketing teams invest millions in speaker programs, digital campaigns, and promotional initiatives, but connecting these activities to prescription outcomes requires manual analysis across disconnected data sources.

Brand Marketing Directors optimizing promotional mix

Strategic oversight & escalation

Commercial Excellence Leads measuring marketing effectiveness

Digital Marketing Managers tracking online channel performance

Deep, consistent analysis

Medical Affairs Teams assessing speaker program impact

From alert to action in minutes

The objective of this agent is to maximize marketing ROI by understanding what drives prescribing behavior.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • Post-campaign analysis: Triggers 4-6 weeks after campaign completion for script lift measurement
  • Quarterly marketing review: Comprehensive ROI analysis across all active campaigns
  • Budget planning cycle: Deep analysis to inform next period's promotional mix
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • Campaign performance summary with reach, engagement, and cost metrics
  • Script lift analysis comparing exposed vs. control groups
  • ROI by channel showing return per dollar invested
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Exposed vs. control comparison: Calculates prescription lift for campaign-touched HCPs
  • Statistical significance testing: Validates that observed lift exceeds random variation
  • Attribution modeling: Allocates credit across multiple campaign touchpoints
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Executive summary: Campaign performance headlines with ROI and script lift
  • Channel comparison: ROI ranking across promotional channels
  • Segment insights: Which HCP types responded best to the campaign
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for marketing teams

Concrete, measurable value for your team from day one

Key Benefit

Measurable marketing impact

Before: Marketing ROI claims based on assumptions. Now: Statistical evidence of prescription lift.

Optimized

Optimized promotional mix

Know which channels deliver and reallocate spend accordingly.

Key Benefit

Segment-specific insights

Understand which HCPs respond to which promotional approaches.

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Marketing platforms: Campaign reach, impressions, engagement metrics
CRM System (e.g., Veeva): HCP exposure records, speaker program attendance
Sales/Rx data: Prescription volumes by HCP and time period
Spend data: Campaign costs by channel and activity type
Campaign
Spend
Reach
Script Lift
Channel
ROI

Ready to explore Marketing Campaign ROI Analyzer?

Fully customizable to your workflows, data sources, and business requirements.

Typical initial implementation in weeks, not months.