/ The ratio

$22,740 in. $250,000 out.

AutoEngage costs $1,895 per rooftop per month — a published base subscription, no per-conversation fees, no advisor seats. That's $22,740 a year per rooftop. The 11× claim is what the average deployed rooftop returns on top of that cost in incremental service revenue.

$22,740

AutoEngage annual subscription per rooftop. The number we charge.

$250,140

Average incremental service revenue per rooftop per year. Subscription × 11.

At a nationwide-average customer-pay RO of around $300, AutoEngage covers its full annual cost on the first ~76 incremental ROs a year — about 6.3 ROs per rooftop per month. Every booked appointment after that is contribution.

/ The reporting band

What it looks like in production.

These are real production numbers from an 11-store regional dealer group running AutoEngage, pulled from the operational reporting band the team publishes internally. Every booking in the funnel below happened inside the SMS conversation itself — no advisor handoff, no BDC fallback. They're the conversion funnel, end to end:

5,590

Customers contacted by Lisa across every retention category.

57%

Customer response rate. Two-way SMS conversations, not one-way blasts.

844

Service appointments booked into the DMS.

15%

Contact-to-booked conversion — fully AI-driven, no advisor or BDC in the loop. Industry BDC averages with a human team typically run a fraction of this.

Multiply 844 booked ROs by an average customer-pay value and the per-rooftop incremental revenue lands inside the $250K range that produces the 11× headline. The conversion math isn't exotic — it's just sustained conversation at a volume no BDC team can match, running 24/7 without breaks, without turnover, and without scaling cost per additional motion.

/ Where the dollars come from

Seven retention categories. One conversation thread.

The 11× isn’t driven by a single program. It’s the sum of seven retention categories running in parallel — each closing a small fraction of a leak that, untreated, sums to the under-2-year defection cliff Cox documented in 2025.

  • Scheduled service. The OEM-scheduled and steady-state intervals — the cheapest, easiest visits to convert, and the highest-leverage retention moments in the lifecycle. Lisa books them directly into the DMS.
  • Pre-paid & OEM benefits. Already-paid revenue and complimentary maintenance programs that don’t get used unless someone surfaces them before benefits lapse.
  • Declined services. The $50K+/month of deferred work sitting in the DMS — worked patiently inside the same Lisa thread, with price-match leverage when the objection is cost.
  • Recalls. Open OEM safety campaigns named explicitly, the actual risk explained in plain language, customer-pay bundling at check-in when the visit makes sense.
  • Telematics. OEM connected-car alerts — same-day, same-thread bookings where speed decides who keeps the customer.
  • State inspections. Fixed-deadline outreach paced ahead of the renewal window, before a competing shop sees the customer.
  • Inbound channels. Website service questions, missed-and-dropped calls, and schedule-via-text from your IVR — every inbound surface Lisa absorbs without adding a BDC seat.

Every category writes back to the DMS on the same thread. The conversion math isn’t exotic; it’s sustained conversation at a volume no BDC team can match, running across categories that most stores work in isolation if they work them at all.

/ Why it compounds

Five years of training data that nobody else has.

The 11× isn't a debut number. It's what shows up after AutoEngage has been continuously deployed at a top 5 auto group for five-plus years — a longer continuous deployment than most of the AI-for-dealers category has existed as a company.

Across that footprint, AutoEngage has handled north of 23.2M customer conversations with show rates between 84 and 88% on booked appointments. That matters because the 11× ratio depends on the conversion rate, and the conversion rate depends on Lisa knowing what works — when to pivot, when to wait, what tone to match. That's training data, accumulated. New entrants ship a model. Lisa ships a model that's spent five years in production at scale, on the exact problem.

Lisa gets sharper the longer she's live. Dealers in the 2021–22 AutoEngage cohort run 31% higher service retention after 12 months than non-adopters. That gap widens, not narrows.

AutoEngage internal cohort analysis
/ The compounding tail

11× on service. More on the next sale.

The published 11× is a fixed-ops claim — incremental service revenue per dollar of subscription. What it doesn't include is the compounding effect on the next vehicle sale. Cox's 2025 study quantifies that gap: 74% of customers who returned for service in the past 12 months are likely to repurchase from the same dealer, versus 44% of customers who lapsed.

A 30-point spread on the same scale. At even a modest front-end gross plus F&I per unit, that's a second layer of return that doesn't appear on the fixed-ops P&L but does appear on the dealer principal's monthly. Which is why deployed groups stay deployed — the math gets stronger over the customer lifecycle, not weaker.

/ Run it on your group

What the 11× looks like at your volume.

The 11× is an average. Your number depends on your OEM mix, your average customer-pay RO, your new-vehicle volume, and your current retention performance. The first three you can plug into the calculator on this site; the fourth gets measured once integration is live.

The ROI & first-2-year recapture calculator runs both halves of the math: a straight break-even on the $1,895/mo subscription, and the size of the under-2-year recapture opportunity using Cox's 46% defection baseline. Plug in your inputs and the calculator shows where the 11× lands at your scale.

Related
Study breakdownCox 2025: where the dealer share went →PlaybookWhy under-2-year customers leave fastest →Case studiesThe real conversations behind the 11× →