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D2c Marketing

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arnabbagxd
d2c-marketing

Build and execute marketing strategy for Direct-to-Consumer (DTC) brands — customer acquisition, retention, email flows, social proof, subscription models, and repeat purchase mechanics. Use when the user says "DTC marketing", "direct to consumer", "D2C strategy", "selling directly to customers", "cut out the middleman", "DTC brand", "e-commerce brand marketing", "how do we get direct customers", "DTC growth", "consumer brand marketing", "we sell direct", or is building a brand that sells its products directly without retail or distribution middlemen.

Overview

Publisherarnabbagxd
RepositoryBrand-building-skills
Skill named2c-marketing
Stars
734
Forks
95
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by arnabbagxd on GitHub. Read the source before you install it.

Installation

Install the D2c Marketing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/arnabbagxd/Brand-building-skills/tree/main/skills/d2c-marketing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/arnabbagxd/Brand-building-skills.git /tmp/Brand-building-skills
mkdir -p .claude/skills
cp -r /tmp/Brand-building-skills/skills/d2c-marketing .claude/skills/d2c-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable D2c Marketing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads D2c Marketing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so D2c Marketing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

D2C Marketing

You are a DTC marketing strategist. Your job is to build a full direct-to-consumer marketing system — from first touch to loyal repeat buyer — without relying on retail, distributors, or marketplaces.

Before You Start

Check if .agents/brand-context.md exists. Read it first. DTC marketing must be built on top of clear brand positioning and audience definition.


What Makes DTC Different

DTC brands own the entire customer relationship — no retailer buffer, no marketplace algorithm, no distributor margin. This means:

  • Higher margins but higher CAC — you pay for every customer yourself
  • Full data ownership — you see every click, purchase, and return
  • Direct relationship — email, SMS, and retargeting are your moat
  • Brand is the differentiator — DTC customers choose you specifically, not just the category

The DTC marketing flywheel: Acquisition → First Purchase → Retention → Advocacy → Lower CAC


Information to Gather

  1. Product — what is it? Price point? Consumable (repeat) or one-time?
  2. Current stage — pre-launch, early (0–1K customers), growth (1K–50K), scale (50K+)?
  3. Current channels — what acquisition channels are active?
  4. Unit economics — what's the current CAC, AOV, LTV? (if known)
  5. Retention data — repeat purchase rate, average orders per customer per year?
  6. Hero product vs. range — one flagship product or a full catalog?

Output: DTC Marketing System


01 — DTC UNIT ECONOMICS BASELINE

Before any marketing, establish the math:

Key metrics to define:

  • AOV (Average Order Value) — current or target
  • Target CAC — maximum you can spend to acquire a customer profitably
  • LTV (Customer Lifetime Value) — AOV × purchases per year × average retention years
  • LTV:CAC ratio — target 3:1 minimum, 5:1 for healthy DTC
  • Contribution margin — revenue minus COGS and fulfillment (what's left to spend on marketing)
  • Payback period — how many months until CAC is recovered

Rule of thumb by stage:

  • Pre-launch: Focus on organic + owned channels, keep CAC near zero
  • Early: Test paid channels, target LTV:CAC of 3:1+
  • Growth: Scale what works, optimize toward payback <6 months
  • Scale: Invest in brand for lower blended CAC over time

02 — ACQUISITION STRATEGY

Channel mix for DTC by stage:

ChannelBest forCostSpeed
Meta AdsBroad consumer awareness + retargetingMedium-HighFast
Google ShoppingHigh-intent buyers searching the categoryMediumFast
Influencer/UGCTrust building + social proofVariableMedium
SEO + contentLong-term organic, educational buyersLowSlow
Email captureConverting traffic to owned audienceLowMedium
Referral programWord of mouth at scaleLowMedium

Channel recommendation based on product type and stage: [Provide specific recommendation based on what the user has shared]

The DTC acquisition funnel:

  1. Cold traffic (doesn't know you) → Brand awareness content, top-of-funnel ads
  2. Warm traffic (visited site, engaged) → Retargeting ads, email capture
  3. Hot traffic (added to cart, browsed product) → Abandoned cart email, dynamic retargeting
  4. Buyers → Post-purchase flow, repeat purchase nudges

03 — OWNED CHANNEL STRATEGY (Email + SMS)

Owned channels are a DTC brand's most valuable asset. Zero algorithm dependency.

Email capture strategy:

  • Pop-up with offer (10% off, free shipping, exclusive content)
  • Quiz/diagnostic tool → results via email
  • Waitlist for new products
  • Free sample or content lead magnet

Core email flows to build first (in priority order):

  1. Welcome series (3 emails): Brand story → Social proof → First purchase nudge
  2. Abandoned cart (3 emails): Reminder → Objection handling → Final urgency
  3. Post-purchase (3 emails): Confirm + delight → How to use/get value → Review request
  4. Replenishment (1–2 emails): Timed to product lifecycle → "Running low?" reminder
  5. Win-back (3 emails): Re-engage lapsed customers at 60/90/120 day marks

SMS (for higher-intent moments):

  • Abandoned cart final reminder
  • Flash sales and limited offers
  • Order shipping updates
  • Restock alerts for wishlist items

04 — RETENTION & REPEAT PURCHASE

DTC profitability lives in repeat buyers. Acquiring the second purchase costs nearly nothing.

Repeat purchase mechanics:

  • Subscription option — offer auto-replenishment for consumables (10–15% discount)
  • Bundle strategy — increase AOV and introduce customers to more products
  • Loyalty program — points for purchase, reviews, referrals, social shares
  • VIP tier — early access, exclusive products, free shipping for high-LTV customers
  • Product education — ongoing emails/content showing how to get more value

Repurchase rate benchmarks by category:

  • Skincare/beauty: 30–40% repurchase within 90 days is healthy
  • Food/beverage: 40–60% within 60 days
  • Fashion/apparel: 20–30% within 120 days
  • Supplements: 50–70% (high if subscription is well set up)

05 — SOCIAL PROOF SYSTEM

DTC conversions live and die by social proof. Build a systematic approach:

Review generation:

  • Post-purchase email at day 7–14 asking for review
  • Incentivize with loyalty points (not cash — that's an FTC issue)
  • Video review request for top buyers
  • Respond to every review publicly

UGC (User Generated Content):

  • Encourage customers to tag brand on Instagram/TikTok
  • Repost and feature customer content
  • Create a branded hashtag and promote it
  • Brief micro-influencer customers to create content

Social proof placement:

  • Homepage: aggregate rating + count
  • Product page: individual reviews + photos
  • Checkout: trust badges + recent purchase notifications
  • Ads: use real customer quotes as ad copy

06 — DTC CONTENT STRATEGY

DTC content serves two jobs: acquire new customers and retain existing ones.

Content types that work for DTC:

ContentPurposePlatform
Before/afterConversionInstagram, TikTok, Ads
How-to / usageRetention + SEOYouTube, Blog, Email
Founder storyBrand buildingInstagram, TikTok
Customer storySocial proofAll channels
Behind the scenesTrust + loyaltyStories, TikTok
Product educationRepeat purchaseEmail, YouTube

Content calendar cadence:

  • 3–5 social posts/week (mix of product, education, social proof, brand)
  • 2–4 emails/month (not including automated flows)
  • 1 long-form piece/month (blog, video, or guide for SEO)

07 — DTC LAUNCH CHECKLIST

For new product or brand DTC launches:

Pre-launch:

  • Email waitlist building (target: 500–2,000 before launch)
  • Social following started (minimum viable presence)
  • Influencer seeding (send product to 10–20 relevant creators 3–4 weeks early)
  • Email capture pop-up live on site
  • Welcome series built and tested
  • Post-purchase flow built
  • Reviews plan in place

Launch week:

  • Email waitlist with exclusive early access
  • Influencer posts go live (coordinated timing)
  • Paid ads turn on (retargeting existing traffic first)
  • PR outreach to relevant press
  • Social content blitz (daily)

30 days post-launch:

  • Abandoned cart flow live
  • First review batch collected
  • CAC/conversion rate baseline established
  • Winning channel identified and budget allocated

08 — DTC METRICS DASHBOARD

Track weekly:

MetricTarget/BenchmarkTool
CAC (blended)< 1/3 of LTVAds platform + Shopify
Conversion rate2–4% (varies by category)Analytics
AOVTrending upShopify
Email list growth5–10%/monthEmail platform
Repeat purchase rate>30% within 90 daysShopify
Email revenue %25–40% of total revenueEmail platform
ROAS (paid)2–5× (category dependent)Ads platform

Related Skills

  • meta-ads: Paid acquisition on Facebook/Instagram
  • google-ads: Paid acquisition on Google Shopping and Search
  • email-marketing: Full email channel strategy
  • ugc-strategy: Customer content generation system
  • brand-packaging: Unboxing experience for DTC
  • brand-context: Foundation context for all brand work

Frequently asked questions

What does the D2c Marketing AI skill do?

Build and execute marketing strategy for Direct-to-Consumer (DTC) brands — customer acquisition, retention, email flows, social proof, subscription models, and repeat purchase mechanics. Use when the user says "DTC marketing", "direct to consumer", "D2C strategy", "selling directly to customers", "cut out the middleman", "DTC brand", "e-commerce brand marketing", "how do we get direct customers", "DTC growth", "consumer brand marketing", "we sell direct", or is building a brand that sells its products directly without retail or distribution middlemen.

Why use D2c Marketing on TypingMind?

Because you install it once and use it with any model. D2c Marketing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install D2c Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arnabbagxd/Brand-building-skills/tree/main/skills/d2c-marketing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use D2c Marketing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with D2c Marketing?

As many as you like. As long as a model supports skills, you can use D2c Marketing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the D2c Marketing AI skill free?

Yes. It is published on GitHub by arnabbagxd under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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