suede-offers

Suede-affiliated offer design for value framing, bonuses, guarantees, risk reversal, honest scarcity, naming, and payment structure. Use when the user is building or diagnosing a service, course, coac

SKILL.md

GitHub

Suede Offer Architecture

Suede AI separates the offer underneath the page from the copy that presents it. Improve the real value exchange (outcome, proof, effort, time, scope, bonuses, guarantee, price structure, honest constraints) before polishing language around a weak proposition. Behavioral levers come last, as tested hypotheses, never as tricks.

Before Starting

Read .agents/product-marketing.md first if it exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md) and ask only for what it does not cover.

Where this skill fits

Strong fit: services and productized services, agencies and retainers, courses and cohorts, coaching and masterminds, info products and communities, high-ticket B2B with a sales conversation, direct-response promotions.

Hand off: self-serve SaaS tiers and value metrics go to suede-pricing (use this skill only for the guarantee, trial offer, or annual-prepay offer). Sales-page language goes to suede-copy, the conversion path to suede-site-alchemy, upgrade prompts to suede-paywalls, and the launch to suede-campaign-in-a-box (creator) or suede-marketing-plan (product or service).


The Suede Value Levers

              Outcome  ×  Confidence
  Value  =  ───────────────────────────
              Wait     ×  Effort
Lever What it means How to raise value
Outcome ↑ The result the buyer wants, one level above the surface ask Name it specifically. "Five qualified leads a week," not "a website."
Confidence ↑ Belief that it will work for them Named proof, a specific method, a guarantee, people like them who got results
Wait ↓ Time to first win and full result Engineer a first win in week one, front-load assets, compress the timeline you can actually hit
Effort ↓ Time, learning, decisions, willpower, social risk Done-for-you options, defaults, templates, async over live

Most "lower the price" requests are really "raise the top or shrink the bottom" requests. Price is the comparison, not the value. Full method and scoring prompts: references/value-levers.md.

The six parts of a complete offer

# Part Question it answers
1 Core deliverable What do they get, and what is out of scope?
2 Bonus stack Which objection does each bonus remove?
3 Guarantee What happens if it does not work?
4 Real constraint Why now, not later?
5 Name What is this thing called?
6 Price and payment What do they pay, and how?

Weak offers usually fail on bonuses (none), guarantees (none or mismatched), or scarcity (none, or fake). Detail: references/offer-anatomy.md.

Reference Library

Reference Read when
value-levers.md Finding which lever is binding
offer-anatomy.md Building an offer from scratch
guarantee-design.md Picking a guarantee type for the business model
bonus-stacking.md Adding bonuses without devaluing the core
scarcity-urgency.md Real constraints, plus the US, UK, and EU legal guardrails
offer-formats.md Playbooks by business type
examples.md Illustrative before/after composites
behavioral-models.md Any time you are about to name a psychological model

The Diagnostic Loop

When the user says "my offer isn't converting" or "help me build an offer":

  1. Identify the business type. The playbook is type-specific.
  2. Write the current offer in plain language: name, price, deliverables, guarantee, deadline.
  3. Score the four levers 1-10. Name the lowest and the evidence gap behind it ("confidence: 4, no named customer, no before/after number"). If every lever scores above 6, the score is not the finding: name what would have to be true for the current conversion rate to make sense, and go find that.
  4. Audit the six parts. Which is missing or weak?
  5. Change one lever this iteration. Usually the lowest.
  6. Draft the changed part: a bonus, guarantee, real constraint, name, or payment plan.
  7. Set the measurement, not a forecast. Name the metric (close rate, page conversion, refund rate, renewal), the baseline, and the review date. Do not promise a lift percentage; nobody knows it before the test.

Output: Offer Brief

Use these headings verbatim whether the offer is new or being repaired:

# Offer Brief: [offer name]

## Name
## Core deliverable
## Bonus stack
[Each bonus and the objection it removes. No invented "$ value" figures.]
## Guarantee + conditions
[Type, exact conditions, and who carries the cost when it is claimed.]
## Real constraint behind the deadline
[Capacity, cohort start, price change, or inventory. If none, write
 "none" and drop the deadline.]
## Price + payment structure
## Lever changed this iteration
[Which lever, its score before, and what evidence moves it.]
## Behavioral levers used
[Each one in the Persuasion Mechanics contract format, or "none".]
## What to measure
[Metric, baseline, review date.]
## What I did not change and why

Persuasion Mechanics

Use behavioral science to remove confusion and fear, never to trap. Read the relevant entries in references/behavioral-models.md before naming any model; the evidence tier there sets how hard you may lean on it.

Quick Reference

Challenge Candidate models
Low conversion Motivation-Ability-Prompt, activation energy, choice simplification
Price objections Anchoring, framing, mental accounting, loss aversion
Trust Authority, social proof, reciprocity, shared identity
Urgency Real scarcity, loss aversion, present bias
Retention and churn Endowment, switching costs, status-quo bias
Decision paralysis Defaults, choice architecture, fewer options (tested, not assumed)
Onboarding Goal-gradient, IKEA effect, small voluntary commitments
Growth stalls Constraints thinking, local vs. global optima, compounding

Per-recommendation contract

**Mechanism:** [model]: [the behavior it predicts, one sentence]
**Evidence:** [Robust / Context-dependent / Contested / Folklore / Framework,
copied from the catalog], [what that tier allows you to claim here]
**Application:** [the specific change to this offer, page, price, or sequence]
**Test:** [what changes, the metric, the success threshold, how long it runs]

Contested and Folklore entries are experiments to run, never reasons a change will work. If nothing in the catalog fits, say so instead of stretching a model.

Ask before recommending

  1. What behavior are you trying to change?
  2. What does the buyer believe before they see this?
  3. Where are they: unaware, comparing, or deciding?
  4. What is stopping the action today?
  5. What have you already tested?

Patterns to refuse

  • Manufactured scarcity: resetting timers, "only 3 left" on unlimited digital goods, fake "N people viewing." Legal exposure as well as trust loss; see the guardrails in scarcity-urgency.md.
  • Over-promising guarantees: "double your revenue or a refund plus $1,000." The few failures become public.
  • Bonus inflation: $50K of "bonuses" on a $497 product.
  • Fake or bought social proof: illegal in the US under the FTC reviews rule and in the UK under the DMCC Act.
  • Hidden defaults and obstructed cancellation for any continuity component.

Banned vocabulary in offer language

"Game-changing," "revolutionary," "next-level," "10x," "secret," "what they don't want you to know," "limited time" without a real limit, "worth $X" without a comparable, "100% guaranteed" without conditions. Use specific numbers, named customers, concrete outcomes, real timelines.

Boundaries

  • Do not invent outcome evidence, comparable value, scarcity, deadlines, testimonials, guarantee economics, refund terms, or behavioral effect sizes.
  • Do not create payment objects, publish an offer, change pricing, or make legal promises without explicit authorization.
  • Do not recommend deception, coercive urgency, hidden defaults, inaccessible cancellation, or conditions hidden from the buyer.
  • Do not diagnose people, infer protected traits, or present marketing models as clinical truths.
  • Do not decide margin, liability, compliance, or brand-risk acceptance for the user.

Routing

  • suede-pricing for tiers, packaging, and value metrics.
  • suede-copy for the sales page and suede-site-alchemy for the conversion path.
  • suede-campaign-in-a-box (creator) or suede-marketing-plan (product or service) to launch; suede-launch-packaging when the thing shipping is software.
  • suede-paywalls for in-product upgrade prompts and subscription-law detail.
  • suede-ab-testing to size and read out any offer or behavioral test.
  • suede-sales-enablement or suede-emails for approved execution.