Pricing Strategy Dashboard

Revenue Optimization & Competitive Market Analysis

Department: Revenue Strategy
Period: Q4 2024 - Week 47
Last Updated: Nov 25, 2024 06:00 UTC
Market Data: Real-time

Pricing Performance Metrics

Average Revenue Per User¹
$391
↑ 18% YoY
Price Realization²
87%
↓ 3pp QoQ
Discount Rate³
13%
→ Stable
Upsell Rate⁴
34%
↑ 7pp QoQ

SaaS Pricing Structure

Basic
$99
per user/month
  • Core dashboard access
  • 5 user seats included
  • Standard reports
  • Email support
  • 30-day data retention
23% of customers
12% of revenue
MOST POPULAR
Professional
$299
per user/month
  • Everything in Basic
  • Unlimited users
  • Advanced analytics
  • API access
  • Priority support
  • 1-year data retention
  • Custom integrations
54% of customers
59% of revenue
Enterprise
Custom
annual contract
  • Everything in Professional
  • Dedicated success manager
  • Custom development
  • SLA guarantees
  • On-premise option
  • Unlimited data retention
  • White-label options
23% of customers
29% of revenue

Data Science as a Service - Consulting Packages⁵

Starter Package - Automated Insights
Plug and chug text prompts into manus.im
$1,150
  • ✓ 5 automated analyses at $150 each ($750 total)
  • ✓ 2 hours of Brigham's time for setup ($400)
  • ✓ 1 kick-off presentation
  • ✓ Basic CEO dashboard template
Target: Small businesses needing quick insights
Professional Package - Guided Analytics
Manus.im + manual optimization
$2,150
  • ✓ 5 curated analyses at $50 each ($250 total)
  • ✓ 4 hours of Brigham's strategic time ($800)
  • ✓ 2 presentations (kick-off + monthly update)
  • ✓ 1 executive boardroom dashboard
  • ✓ 1 deep-dive analysis session
  • ✓ Monthly optimization
Target: Mid-market companies with growth focus
Enterprise Package - Strategic Intelligence
Full-service data science partnership
$8,500/mo
  • ✓ Unlimited analyses with priority queue
  • ✓ 20 hours of Brigham's strategic time
  • ✓ Weekly executive briefings
  • ✓ Custom ML models and algorithms
  • ✓ Real-time dashboard with alerts
  • ✓ Quarterly board presentations
  • ✓ Dedicated Slack channel
Target: Enterprise clients requiring ongoing strategic insights

Competitive Pricing Analysis⁶

Competitor Basic Tier Professional Enterprise Market Position Key Differentiator Win Rate vs.
Our Platform $99 $299 Custom Competitive AI-powered insights —
Competitor A $79 $249 $999+ Leader Market share 42%
Competitor B $149 $399 Custom Premium Feature depth 67%
Competitor C $49 $199 $599+ Competitive Price point 58%
Competitor D $89 $289 Custom Competitive Integrations 71%
Competitive Insight: We're positioned 18% above market average but justify premium through superior AI capabilities. Win rate analysis shows we perform best against premium competitors (67% win rate) but struggle against value players. Recommendation: Introduce a "Starter" tier at $59 to capture price-sensitive segment.

Price Elasticity & Revenue Optimization⁷

Elasticity Insights

Price Point Conversion Revenue Index
$249 (-$50) 38% 112
$299 (current) 31% 100
$349 (+$50) 24% 91
$399 (+$100) 17% 76
Optimal Price: $249 would increase revenue by 12% but may impact brand positioning.

Revenue Mix & Growth Drivers

Revenue Breakdown

Subscription Revenue: 76%
$3.65M monthly recurring
Professional Services: 18%
$864K monthly average
Add-ons & Overages: 6%
$288K monthly average

Pricing Strategy Recommendations

Immediate Actions (Q1 2025)

  1. Launch "Starter" tier at $59 to capture SMB segment
  2. Implement dynamic discounting algorithm (max 20%)
  3. Bundle Data Science services with Enterprise SaaS
  4. Test usage-based pricing for API calls

Strategic Initiatives (2025)

  1. Develop value-based pricing model
  2. Create industry-specific packages
  3. Launch partner/reseller pricing program
  4. Implement AI-driven price optimization
Revenue Impact: These initiatives projected to increase ARR by $2.1M (23%) within 12 months while improving gross margins by 4.2 percentage points.

Data Sources & Methodology

¹ Average Revenue Per User (ARPU): Calculated as total monthly recurring revenue divided by total active paying users. Includes base subscription fees plus average add-on revenue. Excludes one-time setup fees and professional services. Updated daily from billing system.

² Price Realization: Actual revenue collected as percentage of list price. Accounts for discounts, promotions, and negotiated rates. Industry benchmark: 85-90% for B2B SaaS. Lower realization may indicate excessive discounting or poor value communication.

³ Discount Rate: Weighted average discount across all active contracts. Calculated as (List Price - Actual Price) / List Price. Excludes volume discounts and multi-year prepayment discounts. Monitored weekly for revenue leakage.

⁴ Upsell Rate: Percentage of customers who upgraded tier or added services in trailing 12 months. Includes tier upgrades, seat expansion, and add-on purchases. Key indicator of product value and customer success effectiveness.

⁵ Data Science Service Pricing: Based on competitive analysis of consulting rates and value-based pricing models. Manus.im automation reduces analysis time by 70%, enabling competitive pricing. Brigham's hourly rate set at $200 based on market rates for senior data scientists.

⁶ Competitive Analysis: Data from G2, Capterra, and vendor websites as of November 2024. Win rates from sales CRM win/loss analysis (n=487 competitive deals). Market position based on Gartner quadrant placement and market share data.

⁷ Price Elasticity: Derived from A/B testing and historical pricing changes. Elasticity coefficient: -1.3 (elastic demand). Model accounts for competitive responses and market conditions. 95% confidence intervals shown. Analysis refreshed quarterly.

Pricing Governance: All pricing decisions require approval from Revenue Committee. Discounts >20% require VP approval. Annual price increases capped at 10% for existing customers. Price testing follows ethical guidelines with customer notification.