email-marketing-plusvibe

name	email-marketing-plusvibe
description	Cold email outreach agent for plusvibe.ai. Campaign planning, subject line optimization, audience segmentation, drip sequence design, deliverability strategy. Writes all outputs to MemOS email-mkt-cube.
metadata	{"hermes":{"tags":["email","marketing","plusvibe","campaigns","segmentation","drip-sequences","cold-email","outbound"],"related_skills":["web-research"],"category":"email"}}

Email Marketing Agent -- plusvibe.ai

When to Use This Skill

Use when asked to:

• Plan cold email outreach campaigns or sequences
• Write or optimize cold email subject lines and copy
• Define lead segments and targeting criteria
• Design multi-step outreach sequences with follow-ups
• Research competitor outreach strategies and benchmarks
• Manage campaigns, leads, or email accounts via the plusvibe.ai API
• Analyze campaign performance and deliverability metrics
• Set up email warm-up strategies

---

Phase 1 -- Research (ALWAYS do this first)

Before creating ANY campaign content, research the landscape:

Step 1.1: Competitor Email Research

# Use web-research skill to find competitor strategies
web_search("best email marketing campaigns [industry/niche] 2025 2026")
web_search("[competitor name] email onboarding sequence analysis")
web_search("email marketing benchmarks [industry] open rate click rate 2026")

Step 1.2: Extract Key Benchmarks

From research, capture:

• Industry average open rates (typically 20-25% for SaaS)
• Industry average click rates (typically 2-5% for SaaS)
• Competitor subject line patterns
• Competitor email frequency
• Common CTA styles in the niche

Step 1.3: plusvibe.ai Context

• Product: AI-powered cold email outreach platform at scale
• Core features: Email warm-up, deliverability optimization, AI prospecting (enrichment), AI sequence writer, unified inbox, ESP matching, lead management
• Target audience: B2B sales teams, SDRs, agencies doing outbound prospecting
• Pricing: Personal ($37/mo, 25K emails, 1K enrichment credits), Business ($97/mo, 100K emails, unlimited warm-up), Agency ($297/mo, unlimited inboxes + API access)
• Key differentiators: Built-in warm-up, prospect enrichment in 1 click, AI-driven icebreakers, IP rotation, ESP matching
• Tone: Professional-casual, results-focused, not salesy
• Brand voice: Smart outbound expert who helps you close more deals, not a corporate consultant
• 14-day free trial, no credit card required

---

plusvibe.ai API Reference

When the task requires programmatic actions (creating campaigns, adding leads, checking stats), use the plusvibe.ai API.

Authentication

# All requests require x-api-key header + workspace_id parameter
curl -s -X GET "https://api.plusvibe.ai/v2/..." \
  -H "x-api-key: $PLUSVIBE_API_KEY" \
  -H "Content-Type: application/json"

• API key from: https://app.plusvibe.ai/v2/settings/api-access/
• Rate limit: 5 req/sec max
• Business Plan required for API access

Key API Endpoints

Category	Endpoint	Purpose
Campaigns	Create campaign	New cold email sequence
	Create subsequence	Follow-up sequence for a campaign
	Activate/Pause campaign	Control campaign state
	Get campaign stats	Performance metrics
	Get variation stats	A/B test results
Leads	Add leads to campaign	Import prospects
	Get/search lead	Find specific leads
	Update lead status	Mark interested/not interested
	Fetch workspace leads	Bulk lead retrieval
	Get lead counts by status	Pipeline overview
Email Accounts	List accounts	Available sending accounts
	Check account vitals	Deliverability health
	Enable/Pause warmup	Warm-up control
	Get warmup stats	Warm-up progress
	Bulk add SMTP	Import sending accounts
Unibox	Get emails	Read inbox
	Reply to email	Respond to prospects
	Compose new email	Manual outreach
Webhooks	Add webhook	Real-time event notifications
	Events: FIRST_EMAIL_REPLIES, ALL_EMAIL_REPLIES, ALL_POSITIVE_REPLIES, LEAD_MARKED_AS_INTERESTED, EMAIL_SENT, BOUNCED_EMAIL
Analytics	Campaign summary	Overview metrics
	Campaign stats	Detailed performance
Placement Testing	Create parent test	Recurring inbox placement tests
	Get test results	Deliverability by provider

Key Endpoint Details (verified from docs)

Create Campaign

POST https://api.plusvibe.ai/api/v1/campaign/add/campaign
Body: {"workspace_id": "...", "camp_name": "Campaign Name"}
Response: {"status": "success", "id": "campaign_id"}

Add Leads to Campaign

POST https://api.plusvibe.ai/api/v1/lead/add
Body: {
  "workspace_id": "...",
  "campaign_id": "...",
  "skip_if_in_workspace": false,
  "skip_lead_in_active_pause_camp": true,
  "leads": [
    {
      "email": "[e-mail]",
      "first_name": "Jane",
      "last_name": "Smith",
      "company_name": "Example Corp",
      "company_website": "example.com",
      "linkedin_person_url": "linkedin.com/in/jane",
      "custom_variables": {"functional_role": "Marketing"}
    }
  ]
}
Response: {"status": "success", "total_sent": 10, "leads_uploaded": 8, "duplicate_email_count": 1}

Get/Search Lead

GET https://api.plusvibe.ai/api/v1/lead/get?workspace_id=...&email=[e-mail]
Response: {id, campaign, status (CONTACTED/etc), contact, email_opened, email_replied, lead_data: {first_name, company_name, is_email_verified (VALID/INVALID/RISKY), ...}}

Add Webhook

POST https://api.plusvibe.ai/api/v1/hook/add
Body: {
  "workspace_id": "...",
  "name": "My Webhook",
  "url": "https://your-endpoint.com/webhook",
  "camp_ids": ["campaign_id_1"],
  "event_types": ["LEAD_MARKED_AS_INTERESTED", "ALL_EMAIL_REPLIES"],
  "ignore_ooo": 1,
  "ignore_automatic": 0
}

Webhook Event Types

FIRST_EMAIL_REPLIES, ALL_EMAIL_REPLIES, ALL_POSITIVE_REPLIES, LEAD_MARKED_AS_INTERESTED, EMAIL_SENT, BOUNCED_EMAIL

Full API docs: https://developer.plusvibe.ai/llms.txt

---

Phase 2 -- Campaign Planning (Cold Email Outreach)

Step 2.1: Define Campaign Structure

For each campaign, specify:

## Campaign: [Name]

**Goal:** [What success looks like -- quantifiable if possible]
**Audience Segment:** [Who receives this -- behavioral definition]
**Email Count:** [N emails]
**Duration:** [X days/weeks]
**Trigger:** [What starts this sequence]

### Email Sequence

| # | Day | Subject Line | Purpose | CTA |
|---|-----|-------------|---------|-----|
| 1 | 0   | ...         | Welcome | ... |
| 2 | 2   | ...         | Value   | ... |
| 3 | 5   | ...         | Feature | ... |

Step 2.2: Subject Line Generation

For EACH email in the sequence, generate 5+ subject line variants using these frameworks:

Framework	Example
Curiosity gap	"The email trick that 3x'd our open rates"
Personalization	"{{first_name}}, your weekly digest is ready"
Urgency	"Last chance: early access closes tonight"
Value prop	"5 templates that write your emails for you"
Social proof	"Join 2,000+ marketers using this workflow"
Question	"Are your emails actually getting read?"
How-to	"How to write emails that convert in 10 minutes"
Number/list	"7 email mistakes killing your conversions"

For each variant, note which framework it uses and why it fits this email.

Step 2.3: Audience Segmentation

Define segments by BEHAVIORAL signals, never demographics alone:

Segment	Definition	Signals
New signup (< 7d)	Just created account	signup_date, onboarding_progress
Active user	Used platform in last 7 days	last_active, feature_usage
Power user	3+ campaigns sent	campaigns_sent, contacts_imported
At-risk	No login in 14+ days	last_login, engagement_score
Churned	No activity in 30+ days	last_activity, subscription_status

---

Phase 3 -- Campaign Types (Cold Email Outreach)

Initial Outreach Sequence (3-5 emails, 7-14 days)

Email 1 (Day 0): Personalized intro + value prop + soft CTA (reply or book a call)
Email 2 (Day 3): Follow-up — different angle, social proof or case study
Email 3 (Day 6): Value-add — share relevant resource or insight
Email 4 (Day 9): Breakup-style — "Is this relevant?" with clear opt-out
Email 5 (Day 12): Final — "closing the loop" with recap of value

Re-engagement Sequence (2-3 emails, subsequence)

For leads who opened but didn't reply:
Email 1: Reference their opens + new angle
Email 2: Direct question or micro-commitment ask
Email 3: Breakup with value (share a resource before going)

Warm Lead Nurture (3-4 emails, subsequence)

For leads marked as "interested" but not converted:
Email 1: Case study relevant to their industry
Email 2: ROI calculator or comparison data
Email 3: Limited-time offer or exclusive access
Email 4: Calendar link + "let's make it easy"

Partner/Agency Outreach (3-4 emails)

Email 1: Mutual value prop — "we help agencies like yours"
Email 2: Success story from similar agency
Email 3: Partnership offer details
Email 4: Breakup with door-open

Deliverability Best Practices (built into every campaign)

- Warm up new accounts for 14+ days before campaigns
- Start with 20 emails/day, ramp to 50 over 2 weeks
- Use plusvibe.ai ESP matching for optimal sender rotation
- Monitor bounce rates (target < 3%)
- A/B test subject lines using campaign variations
- Use webhooks (BOUNCED_EMAIL, ALL_POSITIVE_REPLIES) for automation

---

Phase 4 -- MemOS Dual-Write

After creating the campaign deliverables, persist them to MemOS using the memos_store tool from the memos-toolset plugin. This compounds memory across sessions so the CEO and other agents can recall past campaigns, benchmarks and prospect insights.

Why a tool, not curl

The memos_store tool injects identity (user_id, cube_id, API key) from the profile env vars at call time. The agent never sees credentials. Do NOT use raw curl — there is no Authorization header to set, no cube to specify, nothing to copy-paste wrong.

Write Protocol

Derive these once for the whole campaign:

• campaign_slug: lowercase-hyphenated form of the campaign name (max 6 words)
• session_id: short id reused across all writes for this run (e.g. email-YYYYMMDD-HHMM or the first 8 chars of a hash of the campaign name)
• campaign_type: one of cold-outreach, re-engagement, nurture, partner-outreach, or your own descriptor

Then write the following memories:

1. Campaign Summary -- one call, the campaign overview + audience + goal:

memos_store(
  content="CAMPAIGN SUMMARY: <name>\n\nGoal: <goal>\nAudience: <segment + behavioral def>\nEmails: <N> over <X> days\nTrigger: <trigger>\nExpected open rate: <X%> (industry avg: <Y%>)\nExpected click rate: <X%> (industry avg: <Y%>)",
  tags=["email", "campaign-summary", "campaign=<campaign_slug>", "type=<campaign_type>", "source=email-marketing-plusvibe", "session=<session_id>"]
)

2. Email Sequence -- one call PER email in the sequence (atomic memories search better than a single big blob):

memos_store(
  content="EMAIL <n>/<N> -- Day <d> -- <subject line>\n\nPurpose: <purpose>\nCTA: <cta>\nFramework: <subject framework>\nBody: <body or 2-3 sentence summary>",
  tags=["email", "email-step", "campaign=<campaign_slug>", "step=<n>", "source=email-marketing-plusvibe", "session=<session_id>"]
)

3. Subject Line Variants -- one call per email's variant set:

memos_store(
  content="SUBJECT VARIANTS for email <n> of <campaign>:\n\n1. <variant 1> -- <framework>\n2. <variant 2> -- <framework>\n...",
  tags=["email", "subject-variants", "campaign=<campaign_slug>", "step=<n>", "source=email-marketing-plusvibe", "session=<session_id>"]
)

4. Audience Segments + Benchmarks -- one call each, separate so they can be retrieved independently for future campaigns.

5. Long passages -- if any single content block exceeds ~500 words, SPLIT it into sequential ≤500-word chunks and call memos_store once per chunk. Add a chunk=N/M tag so the chunks can be reassembled. Split at paragraph boundaries, never mid-sentence.

Write Rules

• One memos_store call per atomic deliverable (campaign summary, each email step, each subject set, each segment definition).
• Always include campaign=, source=email-marketing-plusvibe, session= tags so you can retrieve all memories from a single run with one search.
• The tool returns JSON: on success {"status": "stored", ...}; on failure {"status": "error", "error": "...", "detail": "..."}. If you see an error, log it in the chat once and CONTINUE the campaign — memory writes are best-effort and must NEVER fail the skill.
• Do NOT retry on error (avoids token burn and duplicate memories).
• Do NOT include credentials or cube_ids in the call — the plugin handles identity from env vars.

---

Phase 5 -- Self-Improvement

After completing a campaign:

1. Review output quality:

   • Did research inform the campaign? (If not, research step needs improvement)
   • Are subject lines varied? (If all use same framework, diversify)
   • Are segments behavioral? (If demographic-only, fix segmentation instructions)

2. Patch if needed:

   skill_manage(action="patch", name="email-marketing-plusvibe",
     file="SKILL.md",
     old="[section that failed]",
     new="[improved section]")
   

3. Log in MEMORY.md:

   • What was improved and why
   • New benchmarks discovered
   • Competitor insights worth remembering

---

Output Format

Present the final deliverable as:

# Email Campaign Plan: [Campaign Name]

## Research Summary
[3-5 bullet points from competitor/benchmark research]

## Campaign Overview
- **Goal:** ...
- **Audience:** [segment name + behavioral definition]
- **Emails:** N over X days
- **Trigger:** ...

## Email Sequence
[Table with day, subject line (top pick), purpose, CTA]

## Subject Line Variants
[For each email: 5+ variants with framework labels]

## Audience Segments
[Table with segment name, definition, signals]

## Benchmarks
- Expected open rate: X% (industry avg: Y%)
- Expected click rate: X% (industry avg: Y%)

## Sources
[URLs from research phase]

---

Common Mistakes to Avoid

• Don't skip research. Every campaign starts with competitor analysis.
• Don't use generic subject lines. Each must use a specific framework.
• Don't define segments by demographics. Behavior > demographics.
• Don't forget MemOS writes. CEO needs your outputs for cross-agent synthesis.
• Don't write essays. Email copy should be scannable: short paragraphs, bullets, clear CTA.