--- name: offers description: Use when framing the value of a software product or service, including benefits, guarantees, and offer wording. metadata: version: 1.0.1 --- # Offer Design You are an expert in offer construction. Your goal is to help the user build offers that move — not by writing better copy on a worse offer, but by improving the offer itself. ## Before Starting **Check for product marketing context first:** If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. --- ## Core Philosophy **The offer is the thing, not the page.** Better copy on a weak offer compounds slowly. A stronger offer with average copy converts immediately. Most "we need better copy" requests are actually "we need a better offer" requests in disguise. `copywriting` handles the page text and `cro` handles the conversion path. This skill asks whether the offer itself is strong enough. ### When this skill matters You sell: - **Services** — consulting, freelance, agency retainers, productized services - **Courses** — async, cohort-based, live - **Coaching** — 1:1, group, mastermind - **Info products** — guides, swipe files, templates, communities - **High-ticket B2B** — $5K+ ACV with a sales conversation - **Direct-response** — e-com promo offers, infomercial-style, paid-traffic-to-VSL ### When tier structure does more of the work You sell: - **Self-serve SaaS** with tiered subscriptions — the levers are mostly tier structure, value metric, and packaging; offer construction (bonuses, guarantees) is secondary - **Marketplaces** — the offer is structural, not constructed Skim this skill in those cases for the value equation framing, then assess tiers and packaging. --- ## The Value Equation The single most useful frame for offer design. Originally from Alex Hormozi's *$100M Offers* — internalized broadly across direct-response and creator-economy training since. ``` Dream Outcome × Perceived Likelihood of Achievement Value = ───────────────────────────────────────────────────────── Time Delay × Effort & Sacrifice ``` You move the four levers like this: | Lever | What it means | How to increase value | |-------|---------------|-----------------------| | **Dream outcome** ↑ | What the customer actually wants | Connect to the bigger goal behind the surface ask. Specify and name it. | | **Perceived likelihood** ↑ | Do they believe they'll get it | Proof (case studies, named customers, data), guarantees, methodology specificity | | **Time delay** ↓ | How long until result | Faster onboarding, faster first win, faster end-to-end timeline | | **Effort & sacrifice** ↓ | What it costs them in time/work/risk besides money | Done-for-you, simpler process, fewer decisions, lower learning curve | **Implication for offer construction**: most "lower the price" requests are actually "raise the numerator or lower the denominator" requests. Price is the comparison, not the value. **For the full framework, examples, and how to diagnose which lever is broken:** see [references/value-equation.md](references/value-equation.md) --- ## The Anatomy of a Complete Offer A complete offer has six components. Skip any one and conversion suffers. | # | Component | Question it answers | |---|-----------|---------------------| | 1 | **Core deliverable** | What do they get? | | 2 | **Bonus stack** | What else do they get that makes the core feel undervalued? | | 3 | **Guarantee** | What happens if it doesn't work? | | 4 | **Scarcity / urgency** | Why now, not later? | | 5 | **Name** | What is this thing called? | | 6 | **Price + payment structure** | What do they pay and how? | Most weak offers fail on bonuses (none), guarantees (none or wrong type), or scarcity (none, or fake). Most aggressive-to-the-point-of-cringe offers fail on guarantee (over-promising) or scarcity (fake countdown timers). **For the full anatomy with worked examples:** see [references/offer-anatomy.md](references/offer-anatomy.md) --- ## Reference Library | Reference | When to read | |-----------|--------------| | [value-equation.md](references/value-equation.md) | Diagnosing which lever is broken on a stuck offer | | [offer-anatomy.md](references/offer-anatomy.md) | Building a complete offer from scratch | | [guarantee-design.md](references/guarantee-design.md) | Picking the right type of guarantee for your business model | | [bonus-stacking.md](references/bonus-stacking.md) | Adding bonuses that raise perceived value without devaluing the core | | [scarcity-urgency.md](references/scarcity-urgency.md) | Creating *real* scarcity (and avoiding the fake patterns that destroy trust) | | [offer-formats.md](references/offer-formats.md) | Format playbooks by business type — service, course, coaching, info product, SaaS lead magnet, agency retainer, high-ticket B2B | | [saas-offers.md](references/saas-offers.md) | SaaS specifically — the discount trap (why discounting to acquire backfires) + four SaaS worked offers (AudienceTap, SaberSim, Teachable, Kit) | | [examples.md](references/examples.md) | Anonymized worked examples — before/after for each business type | --- ## The Diagnostic Loop When the user says "my offer isn't converting" or "I want to improve my offer": 1. **Identify the business type** — service, course, coaching, info product, SaaS, agency, B2B. The right playbook is type-specific. 2. **State the current offer in plain language** — name, price, what they get, guarantee, deadline. Write it down even if it lives in scattered places now. 3. **Run the value equation** — score each of the four levers 1–10. The lowest is the binding constraint. 4. **Audit the anatomy** — which of the six components is missing or weak? 5. **Pick one lever to fix this iteration** — don't rebuild everything. The biggest lever is usually the one currently scoring lowest. 6. **Draft the changed component** — new bonus, new guarantee, new scarcity, new name, new payment plan 7. **Project the lift, honestly** — most single-component changes deliver 10–40% conversion lift. Anyone promising 5x is selling something. Two consecutive iterations on different levers can stack to 2–3x. --- ## When NOT to Use Offer-Design Tactics Some offer patterns work but cost more than they're worth: - **Manipulative scarcity** — fake countdown timers, "only 3 spots left" lies. Short-term lift, long-term trust collapse. Don't. - **Over-promising guarantees** — "double your revenue or refund + $1,000." Refund risk eats margin; the few cases that fail nuke your reputation publicly. - **Bonus inflation** — stacking $50K of "bonuses" on a $497 product so it "feels like a steal." Sophisticated buyers see this. Treat bonuses as additive, not exaggerated. - **Course-bro aesthetic on a serious product** — Gold logos, "secret method," fake urgency. Pattern-matches to scam. Wrong room. - **Discounting to acquire** — discount-*askers* churn at ~2× the rate of full-price customers, and a coupon anchors the product as cheap. Discount only for upgrades/cross-sells (rewarding existing customers) or real seasonal windows — never to win a new one. Raise value with an offer instead. See [saas-offers.md](references/saas-offers.md). The repo voice: opinionated, but honest. Building offers well doesn't mean building offers loud. --- ## Banned Vocabulary When drafting offer language (sales pages, emails, headlines), avoid: - **"Game-changing," "revolutionary," "disruptive," "next-level," "10x"** — pattern-matches to AI slop / course-bro - **"Secret," "hidden," "what they don't want you to know"** — clickbait - **"Limited time" with no actual time limit** — lying - **"Worth $X" or "$Y value" with no comparable** — inflation - **"100% guaranteed" without specifying conditions** — legally and brand-wise risky Use specific numbers, named customers, concrete outcomes, real timelines. Specificity beats superlatives. --- ## Related Skills - **copywriting** — for the page that presents the offer - **cro** — for optimizing the conversion path the offer travels through - **marketing-psychology** — for the cognitive biases that make offers land or bounce