Sales Funnel Blueprint

作者 autonnela60468c527c2無授權條款358 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫3 週前更新

Turn an offer into a concrete multi-step sales funnel spec - page-by-page structure, price ladder, copy outline and the metrics each step must hit. Use when asked to build a sales funnel, marketing funnel, landing page flow, lead magnet funnel, webinar funnel, tripwire or VSL funnel, when planning a product launch page flow, or when someone asks "what pages do I need" for selling something online.

僅含說明Marketing & Sales
AI 產生的概覽

把產品方案轉成可直接建置的多步驟銷售漏斗規格,包含頁面結構、價格階梯與指標。

功能
產出一份文件,說明漏斗包含哪些頁面、每個頁面必須表達什麼、收取什麼價格,以及每一步必須達到的指標。它引導代理先確定輸入條件,再選擇標準漏斗形態,撰寫逐頁規格區塊,建立價格階梯並列出埋點阻礙項目。輸出是平台中立、可供建置者直接實作的規格,並附上建置順序與待確認假設。
適用情境
適用於有人想在網路上銷售產品並詢問需要哪些頁面,或正在規劃發布、引流磁鐵、誘餌、網路研討會或 VSL 漏斗時。也適合在撰寫文案或建置頁面之前,把現有單頁擴充為多步驟漏斗。
執行需求
僅為說明性內容,不含指令碼或附帶資源。文中提及其他技能以及一個採用 Apache-2.0 授權的外部漏斗建置儲存庫(需 Docker 與 Postgres)用於實作,但該技能本身除代理外無需其他條件。

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.

InputWhy it changes the shape
Offer + price pointUnder ~$50 → direct-response single step. $50-500 → landing + checkout + upsell. $500+ → lead capture + call booking, not instant checkout.
Traffic sourcePaid social = cold, needs the full pitch on the page. Search = warmer, shorter page. Email list = shortest. Affiliate = needs a distinct pre-sell.
Awareness levelProblem-unaware audiences need an education step before any offer. Solution-aware can go straight to the offer.
FulfilmentDigital = instant delivery, upsells easy. Physical = shipping costs, returns, delivery expectations to set. Service = booking calendar, not checkout.
What already existsA 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.

ShapeStepsFits
Direct offerLP (with offer) → checkout → thank-youImpulse price, solution-aware traffic, single SKU
Tripwire → coreLP → low-price checkout → one-click upsell to core → thank-youCold paid traffic; buys the customer cheaply, monetizes on step 2
Lead magnet → nurtureOpt-in LP → thank-you/delivery → email sequence → offer LPLong consideration, or offer needs trust built first
VSL / long-formVSL LP → checkout (revealed after N minutes or below fold) → upsell chainInfo products, $100-2,000, cold traffic
ApplicationLP → qualification form → booking page → confirmation$500+ services, sales-call close
Store funnelAd → product LP → checkout → post-purchase upsell → order confirmationEcommerce 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 | ERRORGoal (one action):Traffic in (from where, what state of mind):Above the fold: headline / subhead / hero / primary CTA textBody 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 framedExit 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.

StepTypical range on cold paid traffic
LP → checkout start5-15%
Checkout start → purchase30-60%
Overall LP → purchase1-5%
Post-purchase upsell take rate10-30%
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:

  1. Chosen shape + one-line justification
  2. Page-by-page spec blocks
  3. Price ladder
  4. Instrumentation blockers
  5. Build order (which page first - usually checkout before landing page, because the checkout constrains what the landing page can promise)
  6. 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:

bash
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.

來源與署名

來源:autonnel/autonnel-skills位於sales-funnel-blueprint提交a60468c

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