New Visitor Cold Start

Convert first-time visitors using behavior-based segments to deliver targeted first-order offers via exit-intent and timed popups for higher conversion.

Security Scan

This is an instruction-only marketing playbook for first-visit offers and exit-intent modals; its requirements and instructions are coherent with its stated purpose and it contains no code or credential requests.

Purpose & Capability

Name/description describe converting first-time visitors with behavior-based segments; SKILL.md contains only marketing workflow steps (monitor path, classify, match offer, set triggers). No unrelated binaries, credentials, or platform-specific secrets are requested.

Instruction Scope

Instructions stay within marketing/campaign design: they ask for path patterns, segment→offer mapping, and trigger specs. They reference an included playbook file and suggest implementation options (e.g., Shopify/Woo auto-apply) but do not instruct the agent to read system files, environment variables, or exfiltrate data.

Install Mechanism

No install spec and no code files to install; lowest-risk model (instruction-only). All implementation details are advisory rather than executable downloads.

Credentials

Skill requests no environment variables, credentials, or config paths. References to platform auto-apply are informational; if you later implement integration, platform credentials would be required—but they are not requested by this skill.

Persistence & Privilege

Skill is not marked always:true and has no install behavior that would modify agent/system settings. It is user-invocable and can be called autonomously by the agent (platform default) but has no extra persistence or privileges.

Scan Findings in Context

[no-findings] expected: Regex scanner had nothing to analyze because this is an instruction-only skill with no executable code files.

Assessment

This skill is a playbook for first-visit offers and exit-intent modals, not an integration that will run code or access secrets. It's coherent and low-risk as delivered. Before you wire it into live systems, review any implementation that connects to analytics, Shopify/Woo, or your tag manager: those integrations will require platform credentials and access to visitor/event data. Only grant such access to trusted code, test in staging, and confirm legal/consent requirements for mobile back-button interception and popup behavior.

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.