Marketing Offers

Marketing / Offers

Skill for making offers more valuable before polishing the copy.

Source attribution

Primary source: Alex Hormozi, $100M Offers: How To Make Offers So Good People Feel Stupid Saying No (2021).

This skill distills Hormozi's offer-design framework into reusable agent guidance. Do not quote the book or reproduce its examples at length.

When mixing this skill with other marketing skills, cite the source of each concept:

• Value Equation, Grand Slam Offer, bonuses, guarantees, scarcity, urgency, pricing, and naming: Hormozi, $100M Offers.
• Customer-story clarity: Donald Miller, Building a StoryBrand.
• Buyer psychology and ad-response tactics: Drew Eric Whitman, Cashvertising Online.
• Hooks for first-second attention: Alex Hormozi, $100M Playbook: Hooks.

When to invoke this skill

• The user asks to create, improve, package, price, or reposition an offer.
• The product is clear, but buyers do not feel enough desire, trust, urgency, or value.
• The user needs bonuses, guarantees, scarcity, urgency, or offer naming.
• The copy is trying to compensate for a weak offer.
• The user asks why prospects are not buying even though they understand the offer.

If the offer itself is weak, fix the offer before writing more ads.

Core rule

A strong offer increases perceived value faster than it increases fulfillment cost.

Do not start with "better copy." Start by making the promise, proof, speed, ease, risk reversal, and package more compelling.

Value Equation

Source: Hormozi, $100M Offers.

Evaluate the offer with four levers:

1. Dream outcome. Increase the desirability and specificity of the result.
2. Perceived likelihood of achievement. Increase proof, certainty, credibility, track record, and buyer confidence.
3. Time delay. Decrease the perceived time between purchase and meaningful value.
4. Effort and sacrifice. Decrease the work, risk, confusion, pain, embarrassment, complexity, or opportunity cost required from the buyer.

Improve the bottom half aggressively. Most competitors promise a bigger outcome. Fewer make the outcome faster and easier to believe.

Offer workflow

Source: Hormozi, $100M Offers.

1. Define the target buyer and the expensive problem.
2. Write the dream outcome in concrete buyer language.
3. List every obstacle between the buyer and that outcome.
4. Turn each obstacle into a deliverable, service, tool, template, support layer, proof asset, or guarantee.
5. Remove deliverables that add fulfillment cost without increasing perceived value.
6. Stack the strongest deliverables into one coherent offer.
7. Add bonuses that address objections or next problems.
8. Add a guarantee that reverses a real risk.
9. Add ethical scarcity or urgency only when it is operationally true.
10. Name the offer so the buyer can infer the result, audience, or mechanism quickly.

Bonus design

Source: Hormozi, $100M Offers.

Use bonuses to widen the gap between price and perceived value without discounting.

Good bonuses:

• Address a specific objection or obstacle.
• Make the main result faster, easier, or more certain.
• Have a benefit-driven name.
• Include proof or a reason they are valuable.
• Are easy to consume, such as checklists, scripts, templates, tools, swipe files, workshops, audits, or partner perks.
• Feel distinct enough to stand alone.

Prefer adding bonuses over lowering price. Discounting trains buyers to wait. Bonuses let the main price stay intact.

Guarantees

Source: Hormozi, $100M Offers.

Use guarantees to reduce the buyer's perceived risk. The guarantee should answer the buyer's real fear, not just say "money back."

Check:

• What risk keeps the buyer from saying yes?
• Can the business absorb the guarantee operationally?
• Does the guarantee increase perceived likelihood of achievement?
• Is it specific enough to believe?
• Is it ethical and clear?

Do not promise outcomes the business cannot influence.

Scarcity and urgency

Source: Hormozi, $100M Offers.

Use scarcity for quantity limits and urgency for time limits.

Ethical examples:

• Cohort start dates.
• Enrollment windows.
• Capacity limits.
• Seasonal deadlines.
• Expiring bonuses.
• Limited implementation slots.

Red flag: fake countdowns, fake seats, false price increases, or pressure that does not match reality.

Pricing and value contrast

Source: Hormozi, $100M Offers.

Do not ask, "What is fair?" Ask, "What is the buyer's perceived value after we improve the offer?"

Before lowering price:

• Increase the dream outcome.
• Increase proof and certainty.
• Reduce time delay.
• Reduce effort and sacrifice.
• Add bonuses.
• Add a risk-reversing guarantee.
• Improve payment terms if needed.

The offer should feel like a bargain because value is high, not because the price is low.

Naming

Source: Hormozi, $100M Offers.

Name the offer so the buyer quickly understands one or more of:

• Who it is for.
• What result it creates.
• What mechanism makes it work.
• How fast or easy it feels.
• What status or identity it helps the buyer reach.

Avoid cute names that hide the value.

Red flags

• The offer is a list of features, not a path to a dream outcome.
• The promise is bigger, but proof and certainty are weak.
• The buyer must do too much work after purchase.
• The offer discounts instead of increasing value.
• Bonuses are random extras, not objection-killers.
• Scarcity or urgency is fake.
• The guarantee creates trust issues or operational risk.
• The name sounds clever internally but means nothing to buyers.

Output format

When creating or reviewing an offer, return:

## Source used
Alex Hormozi, $100M Offers

## Offer diagnosis
- Dream outcome:
- Perceived likelihood:
- Time delay:
- Effort and sacrifice:

## Main offer
- Buyer:
- Expensive problem:
- Promise:
- Mechanism:
- Deliverables:

## Value improvements
- Increase dream outcome:
- Increase certainty:
- Reduce time delay:
- Reduce effort/sacrifice:

## Bonuses

## Guarantee

## Scarcity or urgency

## Pricing/value notes

## Offer name options

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Evan-Kim2028
• Source: Evan-Kim2028/agent-skills
• License: MIT

Install and usage instructions live in the source repository linked above.