PilotX works every customer one at a time, at the right moment, across every channel: email, SMS, push, WhatsApp, in-app, ads, Pulse and support. It goes after the revenue a store leaves on the table, at full capacity.
Every figure here is modelled. Pick your business type in the calculator below to see your own return.Pick your business type, set your revenue, unit value and margin, and watch the modelled outputs move. This is the economics, in the open.
Pick the closest fit, then tune the sliders to match your business.
Most brands sit between $2M and $8M. The agentic uplift you pick is read against this number.
Modelled conversion for beauty & skincare is 2%, the per-person right-moment rate.
Copilot, PilotX alongside you: more channels on, the dormant base opened.
Twice the 15% legacy ceiling. Modelled, and measured against a control group you set.
2% conversion × $60 value × 45% margin = $0.54 per decision.
Divide by $0.05 to $0.02 per decision, list price to scale price, for 11x to 27x.
In plain money, every $1 you put into decisions is modelled to bring back 11 to 27 in gross margin, the money your P&L already counts.
Replenishment timing and the repeat rate on consumables.
$18k to $48k a year in tools, plus a $90k to $130k operator, up to a $700k to $850k pod, and weeks to activate.
From a few cents per decision. Live in about 30 minutes on a plain-English goal, no new hires and fewer tools.
The old way is never one line on an invoice. It is the tools half-used, the hire you cannot fill, and the weeks before anything ships. PilotX is a goal written in plain English, live the same afternoon, on the team and budget you already have.
Every figure here is modelled, not measured. Move the inputs and the model moves with them.
We turn the numbers you just set into a tailored plan: where you sit now, the gap to the ceiling in real money, and what it takes to climb, the channels to turn on, the dormant base to open, and the move to Autopilot.
Legacy personalisation tops out near 15%. Agentic decisioning models to roughly three times that, up to 50% at full capacity, from two streams that stack. The core case is nearer 30%, and you count only the lift against a control group you set.
Per-person decisioning picks the right moment, the right channel and the right move, not just another send. In a control-group test, agentic decisioning beat a rules-based programme by 10%.
They are often one to three times the size of your active base, and about 81% never buy twice. Working every one of them is net-new revenue a batch calendar never reaches.
The two streams stack. The core case is nearer 30%. It is modelled, not measured, and you count only the lift against a control group you set.
The same model across eight ecommerce store types. Return per dollar runs from list price at $0.05 to scale price at $0.02. The calculator above covers apps, subscriptions, marketplaces and more.
| Brand type | Typical AOV | Gross margin | Conversion, modelled | Return per $1 |
|---|---|---|---|---|
| Beauty & skincare | $60 | 45% | 2% | 11x to 27x |
| Health & supplements | $45 | 75% | 2% | 14x to 34x |
| Apparel & accessories | $85 | 50% | 1.8% | 15x to 38x |
| Food & beverage | $40 | 40% | 2.5% | 8x to 20x |
| Home & lifestyle | $120 | 45% | 1.5% | 16x to 40x |
| Pet care | $50 | 42% | 2.2% | 9x to 23x |
| Subscription & replenishment | $45 | 85% | 1.2% | 9x to 23x |
| Low-AOV / impulse | $22 | 40% | 3.5% | 6x to 15x |
Ranges are modelled at $0.05 (typical) to $0.02 (scale). At full-capacity execution, the 4.3% top-decile flow rate lifts the return to about 23x at list price.
The old way stacks tools, headcount, an agency, a manual calendar, discount giveaways and the weeks before you are live. This is what it costs, before a single extra order. PilotX runs on a plain-English goal instead, so most of it never lands on your books.
A $2M to $8M Shopify brand runs $18k to $48k a year in lifecycle tooling: Klaviyo, SMS, onsite personalisation, a CDP, reviews and loyalty. Gartner puts martech utilisation at 33 to 49%, so close to half of it sits unused.
A true one-to-one pod is five to six fully loaded heads at about $143k each. 93% of marketing leaders cannot fill the roles, postings sit 31 days, and new hires ramp three to eight months.
A batch calendar and a dozen flows from an agency runs about $90k a year, $3k to $25k a month, and it is still batch and static underneath, the same sends to the same lists.
Marketers lose about four hours a day to manual work. One email runs 8 to 10 hours, there are 12 to 15 flows to build and forever maintain, and 51% of teams need over two weeks to ship a single email. Those hours, and the money they cost, come back.
Batch sends the same code to everyone, and the margin walks out the door. Agents discount only when it is genuinely the right move for that customer, so the blanket giveaway stops and the margin stays yours.
Legacy leaves revenue on the table while a hire ramps for three to eight months or an agency onboards, and every right-time moment in that window is missed. PilotX is live the same afternoon on a plain-English goal.
The line item on the invoice is the smaller half. What compounds sits off the books, on both sides.
Every figure here is modelled, not measured. PilotX has one live customer and no published results yet. You set a control group, and only count the lift you beat it by. Start by auditing where repeat revenue may be leaking from your store, free, before you commit.