Linkedin Analytics

LinkedIn Analytics

Get detailed analytics for your LinkedIn posts and profile using the Publora MCP server. Track impressions, engagement, follower growth, and interact with posts through reactions and comments.

Prerequisites

Plans: Starter (free), Pro, Premium - LinkedIn is available on all plans including free.

Getting Started

1. Create account at publora.com/register (free)
2. Connect LinkedIn via OAuth in Publora Dashboard
3. Get API key at publora.com/settings/api
4. Configure MCP in Claude Desktop (~/.claude/claude_desktop_config.json):

{
  "mcpServers": {
    "publora": {
      "type": "http",
      "url": "https://mcp.publora.com",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

REST API Fallback

If the MCP server is unavailable or returns errors, use the REST API directly:

Base URL: https://api.publora.com/api/v1

Authentication: Use x-publora-key header (NOT Authorization: Bearer):

# Get your connected platforms
curl -X GET "https://api.publora.com/api/v1/platform-connections" \
  -H "x-publora-key: sk_your_api_key"

# Get post statistics
curl -X POST "https://api.publora.com/api/v1/linkedin-post-statistics" \
  -H "x-publora-key: sk_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "platformId": "linkedin-abc123",
    "postedId": "urn:li:share:7123456789012345678",
    "queryTypes": "ALL"
  }'

# Get account statistics
curl -X POST "https://api.publora.com/api/v1/linkedin-account-statistics" \
  -H "x-publora-key: sk_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "platformId": "linkedin-abc123",
    "queryTypes": "ALL"
  }'

Platform ID Format: linkedin-{id} where {id} is from /platform-connections response.

Example IDs: linkedin-XXXXXXXXXX, linkedin-abc123xyz

📖 Full API documentation: docs.publora.com

Analytics Tools

linkedin_post_stats

Get engagement metrics for a specific LinkedIn post.

Parameters:

• postedId: LinkedIn post URN (e.g., urn:li:share:123456 or urn:li:ugcPost:123456)
• platformId: Platform connection ID (e.g., linkedin-abc123)
• queryTypes (optional): Metrics to fetch: IMPRESSION, MEMBERS_REACHED, RESHARE, REACTION, COMMENT

Response includes:

• Impressions (total views)
• Unique impressions (members reached)
• Reactions count
• Comments count
• Shares/reposts
• Engagement rate

linkedin_account_stats

Get aggregated statistics for your LinkedIn account.

Parameters:

• platformId: Platform connection ID
• queryTypes (optional): Metrics to fetch
• aggregation (optional): DAILY or TOTAL (default: TOTAL)

linkedin_followers

Get follower count or growth over time.

Parameters:

• platformId: Platform connection ID
• period (optional): lifetime or daily
• dateRange (optional): For daily period: {start: {year, month, day}, end: {year, month, day}}

linkedin_profile_summary

Get a combined profile overview with followers and stats.

Parameters:

• platformId: Platform connection ID
• dateRange (optional): Date range for stats

Engagement Tools

linkedin_create_reaction

React to a LinkedIn post.

Parameters:

• postedId: LinkedIn post URN
• platformId: Platform connection ID
• reactionType: One of the following:

linkedin_delete_reaction

Remove your reaction from a post.

Parameters:

• postedId: LinkedIn post URN
• platformId: Platform connection ID

linkedin_create_comment

Post a comment on a LinkedIn post (max 1,250 characters).

Parameters:

• postedId: LinkedIn post URN
• platformId: Platform connection ID
• message: Comment text (max 1,250 characters)
• parentComment (optional): Comment URN for nested replies

linkedin_delete_comment

Remove a comment you made.

Parameters:

• postedId: LinkedIn post URN
• commentId: Comment URN or numeric ID
• platformId: Platform connection ID

Example Prompts

Weekly Performance Review

Analyze my LinkedIn performance for the last 7 days.
Show me:
1. Which posts performed best
2. My engagement rate trends
3. Follower growth
4. Recommendations for improvement

Post Analysis

Get detailed stats for my last 5 LinkedIn posts and identify patterns in what content resonates with my audience.

Engagement Campaign

React with PRAISE to my colleague's post about their promotion (urn:li:share:123456) and add a congratulatory comment.

Follower Tracking

Show my LinkedIn follower growth for the last 30 days. How many new followers did I gain each week?

Metrics Reference

Engagement Rate Benchmarks

Average LinkedIn engagement rates by follower count:

Good performing posts typically have:

• 2x your average impressions
• Comment-to-reaction ratio above 10%
• Engagement rate above your baseline

Important Notes

1. Analytics delay: LinkedIn analytics may take up to 24 hours to fully populate. Querying immediately after posting returns partial data.

2. URN formats: LinkedIn URLs use urn:li:activity:xxx but the API requires urn:li:share:xxx or urn:li:ugcPost:xxx. Use the postedId from Publora's get_post response for accurate URNs.

3. Caching: Analytics responses may be cached. The response includes a cached field indicating if data came from cache.

4. Rate limits: LinkedIn has approximately 200+ API calls per hour. Implement backoff on 429 errors.

Troubleshooting

Thread Engagement Tracking (compounding layer)

Самый ценный engagement-сигнал на LinkedIn — личный ответ автора поста на твой коммент. Не лайк, не репост — именно ответ. Он переводит тебя из «прохожего» в «коллегу», открывает DM, и его видят все, кто заходит в тред.

Окно ответа автора — 6-24 часа

Эмпирически (замеры практиков LinkedIn): авторы отвечают на комменты в окне 6-24 часа после публикации. Раньше — пост ещё не набрал критическую массу. Позже — автор уже ушёл в следующий пост. Если отвечаешь автору, который ответил тебе → тоже в этом окне для максимума thread momentum.

Daily report shape

| Posted | Author        | Post           | Comment                      | Reply?           | Stage   | Action       |
|--------|---------------|----------------|------------------------------|------------------|---------|--------------|
| 18h    | Alex M.       | legaltech SaaS | "moat moved to taste"        | ✅ автор ответил | Warm    | Reply NOW    |
| 22h    | Dana R.       | CRM-вендор     | "integration depth moat"     | No               | Cold    | Skip         |
| 3h     | Priya S.      | retail-AI      | "twin economies"             | No               | Watch   | Check in 3h  |

Stage decision:

• Watch — <6h, ещё рано проверять
• Warm — 6-24h И автор ответил → срочно follow-up
• Warm-no-reply — 6-24h, автор не ответил → дополнительный коммент опасен (выглядит как push)
• Cold — >24h без ответа → закрыть, идти дальше

Implementation sketch

Сейчас Publora linkedin-post-statistics возвращает count реакций/комментов, но не парсит сам тред. Чтобы вытащить, кто ответил на твой коммент, нужно идти через ScrapeCreators (есть в твоём linkedin скилле):

# Список комментариев под постом, с авторами
curl -s "https://api.scrapecreators.com/v1/linkedin/post-comments?url=<POST_URL>" \
  -H "x-api-key: $SCRAPECREATORS_API_KEY" | python3 -m json.tool

В ответе для каждого коммента есть replies[]. Для своих комментов проверяешь, есть ли в replies[].author.urn URN автора поста — если да, это «author replied» сигнал.

Готовый скилл — linkedin-thread-engagement

Полная реализация в ~/.claude/skills/linkedin-comment-drafter/references/linkedin-thread-engagement/SKILL.md с:

• Daily monitoring всех твоих недавних комментов
• Авто-классификация по стадиям (Watch/Warm/Cold)
• Драфт follow-up reply через linkedin-reply-handler (с правильным top-level parentComment URN при 2-level flattening)
• Routing к DM при «автор-открыл-беседу» сигнале

Метрики качества thread engagement (а не просто посты)

Если author reply rate <5% → коммент-стратегия не работает (банальные takes, поздно зашёл, ICP не совпадает). См. linkedin-comment-drafter/references/comment-templates.md за паттернами «first-commenter / data-first / answer-the-closing-question / quotable-reframe».