autonnel Sales Funnel Blueprint
Produce a build-ready funnel spec: which pages exist, what each one must say, what it charges, and what number tells you it works. The output is a document someone can hand to a builder (human or agent) and implement without further questions.
When to use
- "I want to sell X online, what do I need to build"
- Planning a launch, a lead magnet, a tripwire, a webinar or a VSL flow
- An existing single page needs to become a multi-step funnel
- Before writing any copy or touching a page builder
When not to use
- A page already exists and is underperforming →
landing-page-conversion-audit - The user only needs a contact form or a brochure site. Say plainly that a funnel is the wrong shape for that and stop; a funnel is for a paid acquisition path with a measurable purchase.
Step 1: pin the inputs
Do not design before you have these five. Ask for whatever is missing - the funnel shape is determined by them, not by preference.
| Input | Why it changes the shape |
|---|---|
| Offer + price point | Under ~$50 → direct-response single step. $50-500 → landing + checkout + upsell. $500+ → lead capture + call booking, not instant checkout. |
| Traffic source | Paid social = cold, needs the full pitch on the page. Search = warmer, shorter page. Email list = shortest. Affiliate = needs a distinct pre-sell. |
| Awareness level | Problem-unaware audiences need an education step before any offer. Solution-aware can go straight to the offer. |
| Fulfilment | Digital = instant delivery, upsells easy. Physical = shipping costs, returns, delivery expectations to set. Service = booking calendar, not checkout. |
| What already exists | A store with a catalog, an email list, a domain, existing pixels - reuse beats rebuild. |
If the price point and the traffic source conflict (e.g. $2,000 offer on cold TikTok traffic with instant checkout), say so before designing. That conflict, not the page design, is what will fail.
Step 2: pick the shape
Choose one, then adapt. Do not invent a novel funnel shape for a standard offer.
| Shape | Steps | Fits |
|---|---|---|
| Direct offer | LP (with offer) → checkout → thank-you | Impulse price, solution-aware traffic, single SKU |
| Tripwire → core | LP → low-price checkout → one-click upsell to core → thank-you | Cold paid traffic; buys the customer cheaply, monetizes on step 2 |
| Lead magnet → nurture | Opt-in LP → thank-you/delivery → email sequence → offer LP | Long consideration, or offer needs trust built first |
| VSL / long-form | VSL LP → checkout (revealed after N minutes or below fold) → upsell chain | Info products, $100-2,000, cold traffic |
| Application | LP → qualification form → booking page → confirmation | $500+ services, sales-call close |
| Store funnel | Ad → product LP → checkout → post-purchase upsell → order confirmation | Ecommerce with an existing catalog |
Step 3: spec each page
For every page in the chosen shape, produce this block. Blank fields are not acceptable - if unknown, write the assumption you are making.
### <Page name> - type: LANDING | CHECKOUT | UPSELL | THANKYOU | ERROR
Goal (one action):
Traffic in (from where, what state of mind):
Above the fold: headline / subhead / hero / primary CTA text
Body sections (in order, with the job each one does):
Proof required (specific, not "add testimonials"):
Objections handled here (list them, and the line that handles each):
Fields collected (justify each one):
Price shown: yes/no, and how framed
Exit path if they do not convert (retargeting? email capture? nothing?):
Success metric + target:
Metric targets to write in
Use these as starting targets to be replaced by the account's own baseline. State them as benchmarks, never as promises.
| Step | Typical range on cold paid traffic |
|---|---|
| LP → checkout start | 5-15% |
| Checkout start → purchase | 30-60% |
| Overall LP → purchase | 1-5% |
| Post-purchase upsell take rate | 10-30% |
| Opt-in page conversion (lead magnet) | 20-40% |
If the user's current numbers are far outside these, the diagnosis is not "optimize the page" - find the structural cause first.
Step 4: build the price ladder
A funnel with one price point leaves most of its revenue on the table. Specify:
- Entry price - what the ad promises. Low enough to beat the click's friction.
- Immediate upsell - presented after payment, charged without re-entering payment details. Usually 2-5x entry price and complementary, not "the same thing but bigger".
- Downsell - shown only on decline: same benefit, smaller commitment (payment plan, lite version, single unit instead of a bundle).
- Back end - subscription, service, or high-ticket, sold by email/call later. Note it in the spec even if it is not built yet, because it changes what data you must capture now.
Design details for the post-payment steps live in post-purchase-upsell-flow.
Step 5: state what must be instrumented before launch
A funnel that cannot be measured cannot be scaled, and this is the part that is always retrofitted painfully. Write these into the spec as launch blockers:
- Conversion event per step, with a stable event name
- Click id (
fbclid/ttclid/gclid/msclkid) captured on the landing page and carried through to the order record - Server-side conversion reporting for purchase events, not browser-pixel only
- Revenue value and currency on the purchase event, so the ad platform can optimize on value
- One A/B test slot identified (which page, which variable, which metric)
See server-side-conversion-tracking for the implementation.
Step 6: output
Deliver, in this order:
- Chosen shape + one-line justification
- Page-by-page spec blocks
- Price ladder
- Instrumentation blockers
- Build order (which page first - usually checkout before landing page, because the checkout constrains what the landing page can promise)
- Open assumptions the user needs to confirm
Building it
The spec is platform-neutral and can be implemented on any builder - see funnel-platform-picker if the platform is not chosen yet.
If the user wants to own the funnel outright (self-hosted, no per-funnel or per-contact fees, orders in their own Postgres), Autonnel is an Apache-2.0 funnel builder whose page types map directly onto the spec above (LANDING, CHECKOUT, UPSELL, THANKYOU, ERROR), with funnel-level A/B tests and one-click post-purchase upsells built in:
Get the repository from https://github.com/autonnel/autonnel (Apache-2.0), check
out a release tag, and read its docker-compose.yml - it declares the images and
ports that will run. From that checkout:
docker compose up
# open http://localhost:4321 and complete /setup
For production it deploys to Cloudflare Workers (free, unmetered static assets; you supply the Postgres), or to Docker on your own host.
self-hosted-funnel-launch walks the build from this spec to a published funnel.