Complex System Optimization by Industry
See how Glaium coordinates multiple business subsystems toward your financial objectives
Every industry faces the same challenge: multiple systems optimizing independently, creating conflicts and inefficiencies. Glaium's Global Optimizer ensures your user acquisition, operations, pricing, and resource allocation work together—not against each other.
Mobile Apps & Gaming
Featured Industry
The Challenge
Mobile apps and games juggle three critical, interconnected systems: user acquisition (driving installs), monetization (maximizing revenue per user), and retention (keeping users engaged). When optimized separately, these systems work against each other:
- • UA teams maximize installs without regard for user quality → low retention
- • Monetization teams max out ad frequency → users churn faster
- • Retention teams boost engagement with rewards → monetization revenue drops
The result: High burn rate, missed LTV targets, and delayed path to profitability.
The Glaium Solution
Company Goal Example:
"Achieve cashflow positive (revenue > costs) by Q4 2025"
How Goals Cascade to Agents:
Agent 1: User Acquisition Agent
Subgoal: "Maximize installs subject to: CPI ≤ $2.50, D7 retention ≥ 30%"
Controls: Bid multipliers, daily budgets, campaign pause thresholds
Coordinates with: Retention Agent (don't acquire users who will churn)
Agent 2: Monetization Agent
Subgoal: "Maximize ad revenue + IAP revenue subject to: user satisfaction ≥ 65, retention ≥ 70%"
Controls: Ad frequency caps, interstitial probability, rewarded video multipliers
Coordinates with: Retention Agent (don't over-monetize and kill retention)
Agent 3: Retention Agent
Subgoal: "Maintain DAU and D7/D30 retention subject to: churn rate ≤ 5%"
Controls: Push notification frequency, daily reward multipliers, engagement features
Coordinates with: UA (quality users), Monetization (sustainable revenue)
Financial Outcome:
Mobile gaming studio reduced time to cashflow positive from 18 months to 9 months by coordinating UA spend, ad monetization, and retention investments
Key Metrics Optimized:
CPI, LTV, ARPU, D1/D7/D30 retention, DAU, monthly burn rate, payback period
SaaS & Subscription
The Challenge
SaaS companies balance three competing objectives: acquiring customers (growth), preventing churn (retention), and expanding revenue (upsells/cross-sells). When teams optimize independently:
- • Sales teams maximize new customers without considering CAC payback or fit → high churn
- • Customer success focuses on retention metrics → over-invests in low-value accounts
- • Product teams drive feature adoption → delays monetization or complicates pricing
The result: Long CAC payback periods, inefficient resource allocation, and unprofitable growth.
The Glaium Solution
Company Goal Example:
"Achieve $10M ARR with positive unit economics (LTV/CAC > 3) by end of year"
How Goals Cascade to Agents:
Agent 1: Acquisition Agent
Subgoal: "Maximize new MRR subject to: CAC ≤ $1,200, trial-to-paid ≥ 25%"
Controls: Marketing budget allocation, sales team capacity, pricing tiers offered
Coordinates with: Retention Agent (acquire customers who will stay)
Agent 2: Retention Agent
Subgoal: "Minimize churn subject to: customer success costs ≤ 15% of revenue"
Controls: CS resource allocation by account tier, proactive outreach triggers
Coordinates with: Expansion Agent (identify upsell candidates)
Agent 3: Expansion Agent
Subgoal: "Maximize expansion revenue subject to: customer satisfaction ≥ 8/10"
Controls: Upsell timing, feature gating, seat-based pricing adjustments
Coordinates with: Retention (don't push expansion at risk of churn)
Financial Outcome:
SaaS company reduced CAC payback period from 18 months to 11 months while maintaining 95% gross retention by coordinating acquisition quality, CS investment, and expansion timing
Key Metrics Optimized:
CAC, MRR, churn rate, expansion revenue, LTV/CAC ratio, payback period, net retention
E-commerce
The Challenge
E-commerce businesses manage inventory, pricing, and customer acquisition as separate functions:
- • Buying teams optimize inventory levels for cost → overstocking or stockouts
- • Pricing teams maximize margin → reduced conversion rates and velocity
- • Marketing teams drive traffic → without regard to inventory or margin health
The result: Cash tied up in inventory, margin erosion from discounting, and inefficient marketing spend.
The Glaium Solution
Company Goal Example:
"Achieve 25% gross margin with 8x inventory turnover and positive cashflow"
Financial Outcome:
E-commerce retailer increased gross margin from 18% to 26% while improving inventory turnover from 6x to 9x by coordinating buying, pricing, and marketing decisions
Key Metrics Optimized:
Gross margin, inventory turnover, carrying costs, ROAS, conversion rate, AOV, stockout rate
Fintech & Financial Services
The Challenge
Financial services companies optimize across competing objectives: portfolio returns, risk management, customer acquisition, and fraud prevention:
- • Investment teams maximize returns → concentrate risk exposure
- • Risk teams minimize exposure → limit growth opportunities
- • Growth teams acquire customers → onboard higher-risk segments
- • Fraud teams reduce losses → create friction that hurts conversion
The result: Suboptimal risk-adjusted returns, inefficient capital allocation, and missed growth opportunities.
The Glaium Solution
Company Goal Example:
"Achieve 15% ROE with Sharpe ratio > 1.5 and fraud losses < 0.3% of volume"
Financial Outcome:
Fintech platform improved Sharpe ratio from 1.1 to 1.7 while reducing fraud losses by 40% through coordinated risk management, portfolio allocation, and customer acquisition strategies
Key Metrics Optimized:
Portfolio returns, Sharpe ratio, VaR, fraud loss rate, CAC, customer LTV, conversion rate, false positive rate
Logistics & Manufacturing
The Challenge
Manufacturing and logistics operations involve interconnected systems that create conflicts when optimized independently:
- • Production teams maximize utilization → create inventory buildups
- • Inventory teams minimize carrying costs → cause stockouts and production delays
- • Distribution teams optimize routing → without visibility to production or demand
- • Procurement teams minimize unit costs → lock in excess inventory or wrong components
The result: High carrying costs, delayed deliveries, inefficient capacity utilization, and poor cashflow.
The Glaium Solution
Company Goal Example:
"Reduce total logistics costs by 20% while maintaining 98% on-time delivery and positive working capital"
Financial Outcome:
Manufacturing company reduced total logistics costs by 23% while improving on-time delivery from 94% to 99% by coordinating production scheduling, inventory positioning, and route optimization
Key Metrics Optimized:
Capacity utilization, inventory turnover, carrying costs, stockout rate, on-time delivery, transportation costs, working capital
See Glaium in Action for Your Industry
Schedule a demo to see how our Global Optimizer coordinates your specific business systems