
Retention isn’t a metric —
it’s a revenue engine.
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Service retention directly drives aftersales revenue, brand loyalty, and repeat vehicle purchases. Yet most networks recover only a fraction of what’s possible. Command changes that by automating decisions that directly translate to measurable financial gain.
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The Economics of Retention
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Revenue at Risk
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Average rooftop: ~$6M in annual service revenue.
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~50% of that occurs post-warranty and is at risk.
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Retention often drops to ~30% after warranty.
Revenue Recovered
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A 5% lift = ≈ $150K recovered per rooftop annually.
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36 rooftops = ≈ $5.4M recovered annually.
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300 rooftops = ≈ $45M+ in recovered revenue.
ROI Potential
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Industry benchmarks show 5–8× return on investment.
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Typical pilot results achieved within 90 days.
One saved customer per week pays for the system.
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Why the Math Works
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Command automates actions that directly drive financial outcomes:
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Predictive identification of high-value at-risk customers.
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Dynamic pricing adjustments to retain loyalty while maintaining margin.
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Automated outreach to convert defection risk into booked service.
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Continuous learning that compounds value month after month.
Each decision links to a real repair order, revenue event, and retention metric — allowing you to measure ROI, not guess it.
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