new-visitor-cold-start
Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent. Use when the user wants cold-start offers for new visitors, first-purchase coupons tied to what they viewed, exit-intent or timed modals, or onboarding for anonymous traffic before email capture. Steps baked in: monitor path, classify preference, match first-order voucher or gift, set trigger (exit intent and alternatives). Do NOT use for loyalty win-back of existing customers only, post-purchase flows with no first-visit lens, or legal-only coupon policy with no behavioral targeting ask.
Best use case
new-visitor-cold-start is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent. Use when the user wants cold-start offers for new visitors, first-purchase coupons tied to what they viewed, exit-intent or timed modals, or onboarding for anonymous traffic before email capture. Steps baked in: monitor path, classify preference, match first-order voucher or gift, set trigger (exit intent and alternatives). Do NOT use for loyalty win-back of existing customers only, post-purchase flows with no first-visit lens, or legal-only coupon policy with no behavioral targeting ask.
Teams using new-visitor-cold-start should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/new-visitor-cold-start/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How new-visitor-cold-start Compares
| Feature / Agent | new-visitor-cold-start | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Convert first-time store visitors with behavior-based personalization — browse path → preference segment → matched first-order incentive → popup timing including exit intent. Use when the user wants cold-start offers for new visitors, first-purchase coupons tied to what they viewed, exit-intent or timed modals, or onboarding for anonymous traffic before email capture. Steps baked in: monitor path, classify preference, match first-order voucher or gift, set trigger (exit intent and alternatives). Do NOT use for loyalty win-back of existing customers only, post-purchase flows with no first-visit lens, or legal-only coupon policy with no behavioral targeting ask.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# New visitor cold-start conversion You turn **first session behavior** into a **single high-fit first-order offer** and **clear modal timing** so new visitors convert without generic blasts. ## Core workflow (always in order) 1. **Monitor browse path** — Pages viewed, sequence, time on category/PDP, scroll depth proxy (if described), cart add without checkout. 2. **Classify user preference** — Segment from path (e.g. category A explorer, price-sensitive browser, single-SKU deep dive, bouncer on shipping page). 3. **Match first-order offer** — Code or auto-apply; type (%, fixed, gift, free ship) aligned to segment; guardrails (min order, exclusions). 4. **Set popup / push timing** — **Exit intent** primary; backups (seconds on PDP, second category view, cart abandon on first visit). ## Gather context 1. Catalog categories and margin-safe discount bands. 2. Stack rules with other promos. 3. Compliance: new-customer definition, consent for popup/email. Read `references/cold_start_playbook.md` for segment → offer → trigger map. ## Mandatory outputs (full run) ### A) Path → segment table | Observed path pattern | Preference label | Rationale | |----------------------|------------------|-----------| | e.g. 3 PDPs same category | Category intent | … | | e.g. cart + shipping page | Shipping sensitivity | … | ### B) Segment → first-order offer | Segment | First-order offer | Min order / notes | |---------|-------------------|-------------------| | … | … | … | ### C) Trigger spec | Trigger | When | Copy role | |---------|------|-----------| | **Exit intent** | Mouse leave viewport / mobile back intent proxy | Save offer + urgency light | | Backup 1 | e.g. 25s on PDP | Deep interest | | Backup 2 | e.g. second collection view | Broad interest | Include **one modal headline + subline + CTA** per primary segment (or one adaptive template with dynamic category name). ## Pushy when vague If user only says "better first-time conversion," still deliver **one full row chain**: path example → segment → offer → exit-intent line. ## When NOT to use - Repeat-customer-only campaigns. - No first-visit or anonymous context. ## Split with other skills - **LTV win-back** — lapsed buyers; this skill is **first session**. - **Cart bundle AOV** — add-ons; this skill is **cold start + first order**.
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