Marketing Intelligence

Treat Marketing as an Investment, Not a Cost Centre.

Connect spend, audiences, and outcomes to improve ROAS, CAC, and retention by segment and channel.

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PERFORMANCE PULSE

ROAS Spike

CAMPAIGN: SUMMER_24

OPTIMIZED
Return on Ad Spend 4.2x (Target: 3.5x)

Churn Risk Segment

MOBILE_ONLY_USERS

Retention dropped -8% WoW.
Action: Trigger Win-back Flow.

Campaign Lift

+18% CONV
The Friction

Stop Letting Vendors Define Your Marketing Reality

Unreconciled Ads

Ad platforms report “performance” that never reconciles with revenue or margin.

Pricing Guesswork

Pricing, promotion, and media decisions live in spreadsheets with no repeatable logic.

Isolated Web Data

Web analytics sit isolated from CAC, LTV, and cost-to-serve metrics.

Habitual Assortment

Assortment decisions rely on category experience, not measured behavior.

When Marketing Decisions Run on Real Economics

Margin-Aligned Spend

Pricing, promotions, and media spend are aligned with target margins and CAC/LTV ratios.

Incremental Value

Campaigns and channels are judged on incremental revenue and cost-to-serve, not vanity metrics.

Behavioral Targeting

Segments, cohorts, and behaviors drive offers and placements, reducing waste.

Optimized Experience

Web and app experiences are optimized against conversion, retention, and revenue, not clicks alone.

STATUS: OPTIMIZED
Incr. Sales
$1.2M ↑ 8%
CAC Efficiency
-12% Better
RECONCILED REVENUE VIEW
The Capability Stack

Full-Stack Marketing Domain

Pricing Optimization

Turn Price into a Controlled Revenue and Margin Lever

  • Market-Based Pricing: Align with market reality.
  • Competitive Pricing: Track strength vs competitors.
  • Price Elasticity: Quantify demand response.
  • Dynamic Pricing: Adjust with rules, not panic.
  • What-If Scenarios: Stress-test decisions.

Promotion Optimization

Run Promotions That Lift Margin, Not Just Volume

  • Promo-Linked Sales: Measure true incremental lift.
  • Display Management: Quantify placement impact.
  • Up-Selling: Identify high-upsell moments.
  • Cross-Selling: Reveal natural product pairings.

Customer Analytics

Know Which Customers Justify Spend

  • CLTV Analysis: Calculate value by cohort.
  • Churn Analysis: Identify risk behaviors.
  • Opinion Analysis: Link sentiment to revenue.
  • Segmentation: Value & behavior based groups.

Media Optimization

Move Spend to Channels That Pay Back

  • Campaign Mgmt: Connect to margin, not clicks.
  • Channel Effectiveness: Compare on CAC & LTV.
  • Cost-to-Serve: Evaluate servicing cost per channel.

Web Analytics

Turn Behavior into Revenue Signals

  • Engagement Factors: Pinpoint drivers of value.
  • Usage Patterns: Analyze visit & feature frequency.
  • Bottleneck Avoidance: Detect stall points.

Assortment Optimization

Align Layout with Demand

  • Customer Insights: Combine sales & search data.
  • SKU Effectiveness: Tag drivers vs fillers.
  • Store Layout: Link layout to basket size.

Treat Marketing Analytics as a Commercial System

Pricing, promotions, media, web, and assortment decisions already shape revenue, CAC, and margin. A weak marketing data stack turns those decisions into guesswork. Rudder Analytics engineers marketing analytics environments that tie every decision back to commercial outcomes.

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