How the Success Score Works
The Success Score is a proprietary 0-100 scoring methodology that answers the question: "How successful was this event?"
Unlike traditional event metrics that only look at attendance or leads, the Success Score provides a holistic view of event quality.
The Success Score Formula
Success Score = (Sales Score � 0.40) + (Marketing Score � 0.40) + (Attendee Score � 0.20)
Each component is scored 0-100, then weighted to produce the final Success Score.
Sales and Marketing get equal weight (40% each) because events must prove both pipeline impact and efficiency. Attendee satisfaction (20%) ensures you're not burning relationships for short-term metrics.
Score Interpretation
| Success Score Range | Grade | Interpretation | Default Action |
|---|---|---|---|
| 80-100 | A | Excellent performance | Run again Replicate format, location, partner mix |
| 60-79 | B | Good; minor gaps | Resize Keep event, optimize weak components |
| 40-59 | C | Underperforming | Investigate Fix data gaps and program issues |
| 0-39 | D/F | Poor | Pause or redesign before retrying |
What Feeds Each Component
Sales Score (40% weight)
Key Metrics:
- Pipeline Influenced ($) Dollar value of opportunities touched by this event
- Opportunity Count Number of opps created/influenced
- SQLs Sales-qualified leads generated
- Win Rate % of influenced opportunities that closed/won
- Deal Velocity Time to close for influenced opps
- Sales Team Feedback Survey scores from AEs on lead quality and event value
Default Internal Weights:
- Pipeline influenced: 50%
- Opportunity count: 25%
- Sales team surveys: 25%
Data Sources:
- Salesforce (Campaign influence + Opportunity roll-ups)
- Manual input
- Post-event sales team surveys
By default, opportunities are attributed if they touch the campaign within 30 days before and 90 days after the event. Adjust this in Salesforce settings if needed.
Marketing Score (40% weight)
Key Metrics:
- Leads / MQLs Number of leads generated and qualified
- Cost Per Lead (CPL) Total event cost / lead count
- Cost Per MQL (CPM) Total event cost / MQL count
- Attendance Rate Attendees / Registrations (show rate)
- Budget Variance Actual vs. planned spend
- Marketing Team Feedback Internal team assessment
Default Internal Weights:
- Lead/MQL generation: 40%
- Cost efficiency (CPL/CPM): 30%
- Attendance rate: 20%
- Marketing team surveys: 10%
Data Sources:
- Salesforce (Campaign Members, Leads)
- Manual input
- Budget tracking
- Marketing team surveys
- CPL: Varies by event type (dinner: $200-500, conference: $100-300, webinar: $20-80)
- Show Rate: 70%+ for paid events, 40-60% for free events
- Budget Variance: �10% is typical; larger gaps indicate planning issues
Attendee Score (20% weight)
Key Metrics:
- NPS (Net Promoter Score) -100 to +100 scale
- Overall Satisfaction Average 1-5 rating
- Content Quality Rating of sessions/presentations
- Venue & Logistics Rating of event execution
- Networking Value Rating of networking opportunities
Default Internal Weights:
- NPS: 40%
- Overall satisfaction: 30%
- Content quality: 20%
- Other ratings (venue, networking): 10%
Data Sources:
- Post-event attendee surveys (sent within 24-48h)
- In-app NPS collection
- Third-party survey tools
- 50+ Excellent (promoters)
- 0-50 Good (mixed)
- Below 0 Poor (more detractors than promoters)
Component Weight Customization
You can adjust weights per event type using Scoring Profiles.
Example: Executive Dinner Profile
Sales Score: 50% (high-touch relationship building)
Marketing Score: 30% (lower lead volume, higher quality)
Attendee Score: 20% (standard)
Example: Webinar Profile
Sales Score: 30% (longer sales cycle from webinars)
Marketing Score: 50% (efficiency and reach matter more)
Attendee Score: 20% (standard)
Create profiles in Settings � Scoring and assign them per event.
Missing Data & Partial Success Score
If a component is missing inputs, Success Score can still be calculated but will be flagged as Partial.
Minimum Requirements:
- Sales: At least pipeline $ OR opportunity count OR SQL count
- Marketing: At least lead count AND event cost
- Attendee: At least 10 survey responses OR NPS score
Handling Partial Scores:
- Add missing data (send surveys, populate Salesforce)
- Adjust minimum data requirements in Settings � Scoring
- Use Partial Success Score with caution in comparisons
Partial Success Score scores are useful for early indicators but should not be compared directly to Complete Success Score scores in rankings or dashboards.
Calculation Triggers
Success Score is recalculated automatically when:
- INITIAL First time for a new event
- METRICS_UPDATE When sales or marketing data changes
- SURVEY_UPDATE When new survey responses arrive
- SALESFORCE_SYNC After data refresh from Salesforce
- SCHEDULED Nightly/weekly batch recalculation
- MANUAL User clicks "Recalculate Success Score"
Each calculation stores metadata (timestamp, data sources used, warnings) and can be synced back to Salesforce.
Benchmarking
Success Score enables apples-to-apples comparison across:
- Event types (conference vs. dinner vs. webinar)
- Regions (APAC vs. EMEA vs. NA)
- Time periods (Q1 vs. Q2 vs. Q3)
- Partners (Partner A vs. Partner B events)
Use Success Score to build a balanced event portfolio with different formats at different Success Score targets:
- Flagships (conferences): Target 75+ Success Score
- Field/roadshows: Target 70+ Success Score
- Executive dinners: Target 80+ Success Score (smaller, high-quality)
- Webinars: Target 65+ Success Score (volume plays with lower cost)
Next Steps
More documentation coming soon! For now, press ? in the app for contextual help.