# Lead Magnet Offer Fit

> Reviews a proposed or existing B2B lead magnet for buyer-stage fit, pain relevance, qualification strength and follow-up value. Use when you are about to build a new lead magnet, or when downloads are high and nothing moves after them.

- **Type:** Skill
- **Install:** `agentstack add skill-mardab96-b2b-lead-generation-claude-skills-lead-magnet-offer-fit`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [mardab96](https://agentstack.voostack.com/s/mardab96)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [mardab96](https://github.com/mardab96)
- **Source:** https://github.com/mardab96/b2b-lead-generation-claude-skills/tree/main/lead-magnet-offer-fit

## Install

```sh
agentstack add skill-mardab96-b2b-lead-generation-claude-skills-lead-magnet-offer-fit
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Lead Magnet Offer Fit

Use the shared quality bar in `../references/output-standard.md` and `../references/skill-design-principles.md` when those files are available.

## Use this skill when

- the user shares lead source, CRM stage, sales note, form, landing page or campaign data tied to lead magnet offer fit.
- the next decision could change targeting, qualification, scoring, follow-up, sales handoff or budget.
- lead volume looks acceptable but SQL, opportunity, closed-won, rejection or response-speed data raises doubt.

Do not use this skill for broad lead-generation advice without source, CRM, sales or qualification evidence. Use it when a real B2B lead quality decision is on the table.

## Required input

- business model, ICP, offer, ACV or deal value range, sales cycle and main conversion goal.
- ad, landing page, lead form, CRM, call note, email or campaign data relevant to this diagnostic.
- time window, traffic source, lead volume and downstream outcomes where available.
- what decision the user is trying to make next: create, fix, scale, pause, brief sales or investigate.
- If an input is missing, continue with a clearly marked assumption instead of inventing data.

## Analysis workflow

1. Classify the asset by buyer stage: problem-aware, solution-aware, vendor-aware or implementation-ready.
2. Compare the promised outcome with ICP pain intensity, buying urgency and the next commercial step.
3. Check whether the asset attracts budget owners, operators, researchers, students or low-intent downloaders.
4. Review the asset title, landing page, form, thank-you step and follow-up for one coherent promise.
5. Score qualification strength using specificity, business pain, implementation effort, proof and follow-up relevance.
6. Recommend keep, sharpen, reposition, gate differently, pair with a stronger CTA or retire.

## Decision rules

- If the data does not connect to revenue, pipeline, qualified leads or conversion quality, label the recommendation as a hypothesis.
- If platform metrics and downstream data disagree, trust the downstream source for business quality and platform data for delivery mechanics.
- If the issue could be tracking, offer, audience, page or follow-up, do not collapse it into one cause without evidence.
- Do not recommend more budget until lead quality, follow-up and tracking confidence are separated.

## Output format

| Finding | Evidence | Lead quality impact | Recommended action | Confidence |
|---|---|---|---|---|
| Specific diagnostic claim | Data, screenshot, report, note or missing-data marker | Business or signal consequence | Smallest useful next step and owner | High / Medium / Low |

End with:

- `Decision:` fix / test / monitor / ask for data / do not act yet
- `Approval needed:` yes/no and what would change if approved
- `Missing data:` only the inputs that would materially change the recommendation

## Practical example

User: "Here are CRM stages, source data and sales notes for lead magnet offer fit. What should we change before the next campaign move?"

Assistant should: score the magnet on buyer stage, pain relevance, qualification strength and follow-up value, and stop at keep, rework or drop.

## Guardrails

- Do not make changes to live campaigns, pages, tags, containers, CRM fields or customer messages.
- Do not claim performance impact without evidence.
- Mark missing data clearly.
- Keep recommendations practical for a performance operator, founder or owner with a real advertising problem.

## Source & license

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

- **Author:** [mardab96](https://github.com/mardab96)
- **Source:** [mardab96/b2b-lead-generation-claude-skills](https://github.com/mardab96/b2b-lead-generation-claude-skills)
- **License:** MIT

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-mardab96-b2b-lead-generation-claude-skills-lead-magnet-offer-fit
- Seller: https://agentstack.voostack.com/s/mardab96
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.