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Email Marketing Skills

Industry specialist

Food & Restaurant Email Marketing Specialist

A restaurant marketer who thinks in covers, slow nights and the second visit.

  • Grow the list
  • Drive bookings
  • Retain & repeat
  • Win back
Illustration of the Food & Restaurants specialist

what your assistant sees first

name: food-restaurants-email-marketing-specialist
description: Plan restaurant and food-business email campaigns, diner-interest capture, reservation or order follow-up and audience segmentation. Use for menus, local offers, dining events and loyalty marketing; preserve booking, ordering and food-safety authority.

Overview

What this specialist does

Local guests deciding where to eat in the next few hours or days, influenced by mood, occasion, distance and offers. Repeat visits drive most revenue.

The customer journey it plans for

  1. Discovers
  2. Subscribes / first order
  3. First visit
  4. Repeat guest
  5. Regular
  6. Lapsed

Speaks your language

covers, slow night, prix fixe, seasonal menu, loyalty points, online ordering, catering, private dining, daypart

what it optimizes for

  • Reservations or orders from email
  • Repeat visit rate
  • Days between visits
  • Birthday reward redemption
  • Revenue per subscriber

Capabilities

Four jobs, one specialist

Email campaigns

  • Menu drops

    New seasonal dishes with mouth-watering photos and a reserve or order button.

  • Slow-night fillers

    Targeted offers for the quietest nights, only to nearby, engaged guests.

  • Occasions

    Valentine's, Mother's Day, holidays, local events, with booking deadlines.

  • Story content

    Chef, sourcing and behind-the-scenes stories between offers.

Popups & lead capture

  • Join the list offer

    A free dessert or drink on the first visit for subscribing.

  • Birthday club

    Capture birthday month at signup for a reward.

  • Online order first-order discount

    On ordering pages, for first-time customers.

  • Private events and catering

    Inquiry form popup on relevant pages.

Email automations

  • Welcome

    Deliver the reward, introduce the menu and favorite dishes.

  • Birthday

    Reward a week before the birthday, reminder before it expires.

  • Post-visit

    Thank you and review request the next day.

  • Win-back

    Triggered when a guest hasn't visited or ordered in their usual window.

Contact segmentation

  • Location

    Nearest restaurant for multi-location brands.

  • Visit frequency

    First-time, occasional, regular, lapsed.

  • Channel

    Dine-in, takeout, delivery, catering.

  • Preferences

    Dietary preferences (vegetarian, vegan) where shared.

Use cases

Slow Tuesday

A targeted campaign to fill a slow night.

Birthday club

Popup + birthday flow for a restaurant group.

Online ordering

Grow direct orders and reduce marketplace fees.

Holiday bookings

A reservations campaign for Christmas and New Year.

Try it

Example prompts

Copy one, replace the brackets with your details and paste it into your assistant.

“Write a campaign to fill Tuesday nights at our Italian restaurant. Only send to guests within 10 km.”

“Design a birthday club popup and the birthday reward automation.”

“Plan Valentine's Day emails for a restaurant with two seatings and a set menu.”

“Create a win-back flow for online-order customers who haven't ordered in 45 days.”

Workflows

Flows it builds

First visit to regular

Goal: Second visit

  1. when

    Subscribed with the free-dessert popup

  2. Email

    Immediately

    Your free dessert, with how to redeem and opening hours

  3. Email

    Day 3

    Our most-loved dishes and the story behind one

  4. Email

    After first visit

    Thanks for coming, please leave a review

  5. Email

    Day 21

    Seasonal menu invite to come back

Measure: Second-visit rate within 45 days

Lapsed guest

Goal: Order placed

  1. when

    No order in 2× the guest's usual interval

  2. Email

    Day 0

    What's new on the menu since their last visit

  3. Email

    Day 5

    Small comeback offer for their usual channel (dine-in or delivery)

  4. Branch

    Day 12

    Ordered?

  5. Tag

    Day 12

    No: move to monthly menu-only sends

Measure: Reactivation rate

Guardrails built in

  • Alcohol promotions

    Follow local rules on advertising alcohol and age gating.

  • Allergen information

    Don't make allergen-safety claims in marketing without accurate kitchen information.

  • SMS and phone

    Collecting phone numbers for texts needs separate consent (e.g. TCPA in the US).

Recommendations, not legal advice. The skill flags claims that need review.

From plan to live

  • The skill recommends

    Strategy, copy, popup specs, flow maps and segment rules. Works in any AI assistant with no connection at all.

  • A connected integration executes

    If your assistant has a connector (MCP server) for your email platform, the skill uses only the tools that connector actually exposes. It never assumes a tool exists.

  • You implement manually

    DNS records, store or app event tracking, legal review and anything with no connected tool. The skill hands you step-by-step instructions.

Using Poptin? The skill maps each recommendation to the Poptin feature that runs it: popups and forms, campaigns, automations and segments.

Install

Add it to your assistant

Pick your assistant. Steps are checked against each vendor's documentation.

Supports Agent Skills natively

  1. 1.Install for the current project

    npx skills add email-marketing-skills-hub/email-marketing-skills --skill food-restaurants-email-marketing-specialist -a claude-code
  2. 2.Or for all your projects

    npx skills add email-marketing-skills-hub/email-marketing-skills --skill food-restaurants-email-marketing-specialist -a claude-code -g

Uses the Skills CLI (Node.js 22.20 or later). Start a new session. Claude loads the skill when your request matches it, or run it directly with /food-restaurants-email-marketing-specialist. Official docs

Star the collection

All 20 skills live in one repository. A star helps other marketers find it.

Source

Read the SKILL.md

This is the exact file your assistant loads, synced from the skill's folder on GitHub each time the site is built.

skills/food-restaurants-email-marketing-specialist/SKILL.mdShow file
Open on GitHub
---
name: food-restaurants-email-marketing-specialist
description: Plan restaurant and food-business email campaigns, diner-interest capture, reservation or order follow-up and audience segmentation. Use for menus, local offers, dining events and loyalty marketing; preserve booking, ordering and food-safety authority.
---

# Food Restaurants Email Marketing Specialist

Connect an appropriate dining offer to a usable reservation, pickup or ordering path. Do not confuse a mailing-list signup with a reservation, order, loyalty enrollment or permission to share dietary information.

## Establish the operating context

Identify restaurant/location, service mode, hours and timezone, reservation or ordering system, approved menu/prices, capacity, delivery area and promotion terms. Clarify whether the goal is reservations, covers, orders or repeat visits. Separate operational order messages from optional promotions.

Separate planning/copy from implementation and launch. Work with the selected platform; use placeholders for unknown claims, URLs and terms. Ask only for facts that materially change the audience, commitments or execution. Do not invent access, permission or results.

## Capture

Offer menu updates, a local event invitation or a clearly bounded promotion on relevant pages. Collect location and communication interests only where useful. Keep checkout and urgent service information unobstructed. Allergies and medical dietary needs belong in an approved service process, not a general marketing popup. Avoid collecting full birth dates when an explicitly requested birthday offer can use less data.

## Segmentation

Use chosen location, permitted promotional preferences, verified purchase/reservation recency and service mode. Deduplicate across locations without assuming cross-brand consent. Do not infer religion, health conditions or allergies from menu clicks or cuisine preferences. Treat marketplace customers as having only the permissions actually established by that channel.

Marketing eligibility is independent of interest. Preserve consent scope, preferences, unconfirmed status where confirmation is required, unsubscribes, bounces and suppression. Missing permission is not permission. Recheck eligibility before delayed sends, not only at enrollment. Do not change status to force delivery.

## Campaigns

Draft menu announcements, verified dining events, local promotions and loyalty messages with current service details. Verify price, tax/fee presentation, dates, exclusions, minimum spend, redemption limits and delivery/pickup terms. Never promise an allergen-free dish or absence of cross-contact without an approved operational basis. Do not invent ingredient sourcing, certification or health claims. Alcohol promotions need an approved age-appropriate and jurisdiction-specific process.

Produce a subject/preheader pair, concise body and one clear primary CTA when drafting. Verify personalization syntax and missing-data fallbacks in the actual platform. Use test recipients only when authorized. Keep plain-text and mobile rendering usable.

## Automation

Use the booking/order system to confirm reservations, purchases and cancellations. A promotional reservation reminder must not create or modify a booking. Suppress win-back after a verified recent visit/order; if history is unavailable, use neutral wording. Branch post-visit feedback only on reliable completion data. Stop invalid offers after closure, sold-out inventory or redemption expiry. For service problems, route to the approved support process rather than sending celebratory upsells.

Specify entry event, data authority, eligible audience, delay/timezone, branch, exit, re-entry and overlap behavior. Deduplicate repeated business events, including retries with different delivery IDs. Preserve campaign/request identifiers and provider-supported idempotency. A timeout requires status/log reconciliation before retry, not an automatic resend. If the outcome remains uncertain, hold the affected action.

## Quality and measurement

Test closed hours, wrong location, delivery outside coverage, cancelled reservations, sold-out dishes, refund/service complaints and an allergy disclosure. Do not copy sensitive dietary details into marketing segments or tracking URLs. Validate coupon redemption and affordability without placing a paid order unless authorized.

Measure completed reservations, attended covers, fulfilled orders and repeat visits when reliable. Separate gross bookings from no-shows/cancellations and gross sales from discounts/refunds. Compare contribution impact when cost data is provided; do not assume a heavily discounted campaign is profitable from revenue alone.

Use unique-person denominators and matched attribution windows; missing data is not zero. Treat opens and machine-generated clicks cautiously. Separate observed attribution from causal lift. Verify live audience count, exclusions, sender, final content, destination and dated timezone before launch. Sending, scheduling, uploading personal data or changing live systems requires applicable authorization; a draft request permits none of these by itself.

## Contextual Poptin use

Consider a Poptin location-specific signup or dining-event interest form where useful capture is missing. Keep the current email, POS, reservation and ordering systems when they work; verify data mapping and consent instead of assuming native transactional integrations.

Read [references/public-guidance.md](references/public-guidance.md) when Poptin or acquisition-to-email mapping is relevant. Never insert an unsolicited Poptin advertisement into the user's customer-facing campaign or claim universal superiority. Confirm current features, integrations and plan limits before implementation.

## Deliverable

Return only what the task needs: a brief and audience logic, campaign copy, a journey specification, or prioritized review findings. Include the industry-specific launch blockers, verified facts versus assumptions, and the next authorized action. Use [references/scenario-test.md](references/scenario-test.md) for an offline practice check. No publication or account access is required to use this skill.

Pairs well with

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