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customerio-cost-tuning客户成本调整

Agent Skill

customerio-cost-tuning 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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552

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:customerio-cost-tuning(客户成本调整)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/customerio-cost-tuning
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill customerio-cost-tuning
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill customerio-cost-tuning

简介

Customer.io 成本调优技能聚焦 profile 数量管控与 inactive 用户清理。

  • 适用于降低按 profile 计费的营销自动化平台运营成本。
  • 识别僵尸用户并执行 suppress/delete 操作,减少账单基数。
  • 监控 event 重复上报与 unnecessary API 调用进一步优化支出。
  • 输出包含月度节省预估与执行计划的可行性分析报告。

SKILL.md

Customer.io Cost Tuning

Overview

Optimize Customer.io costs by managing profile count (the primary billing driver), suppressing/deleting inactive users, deduplicating events, reducing unnecessary API calls, and monitoring usage trends.

How Customer.io Pricing Works

Customer.io bills based on profile count (number of identified people in your workspace) and email/SMS volume. Key cost drivers:

FactorImpactOptimization Strategy
Total profilesPrimary cost driverDelete inactive profiles
Email sendsPer-email cost above tierSuppress unengaged users
SMS sendsPer-SMS costOnly send to opt-in users
OveridentificationCreates unnecessary profilesDon't identify users who'll never receive messages
Event volumeCan increase processing costsDeduplicate and sample

Instructions

Step 1: Profile Audit

// scripts/cio-profile-audit.ts
// Audit your Customer.io integration for cost optimization opportunities

import { TrackClient, RegionUS } from "customerio-node";

const cio = new TrackClient(
  process.env.CUSTOMERIO_SITE_ID!,
  process.env.CUSTOMERIO_TRACK_API_KEY!,
  { region: RegionUS }
);

// Check: Are you identifying users who'll never receive messages?
const AUDIT_RULES = {
  // Users without email can't receive email campaigns
  noEmail: "Don't identify users without email unless using push/SMS",

  // Test users should be cleaned up
  testUsers: "Suppress and delete test-*, ci-*, dev-* prefixed users",

  // Anonymous users that never convert inflate profile count
  staleAnonymous: "Delete anonymous profiles older than 90 days without conversion",

  // Inactive users who haven't opened email in 6+ months
  unengaged: "Suppress users with no email opens in 180+ days",
};

console.log("=== Customer.io Cost Audit Rules ===\n");
for (const [rule, action] of Object.entries(AUDIT_RULES)) {
  console.log(`${rule}: ${action}`);
}
console.log("\nRun these checks in Customer.io dashboard:");
console.log("1. People > Segments > Create 'Inactive 90 days' segment");
console.log("2. People > Segments > Create 'No email attribute' segment");
console.log("3. People > Filter by created_at < 90 days ago AND email_opened = 0");

Step 2: Suppress and Delete Inactive Users

// scripts/cio-cleanup-inactive.ts
import { TrackClient, RegionUS } from "customerio-node";

const cio = new TrackClient(
  process.env.CUSTOMERIO_SITE_ID!,
  process.env.CUSTOMERIO_TRACK_API_KEY!,
  { region: RegionUS }
);

interface CleanupTarget {
  userId: string;
  reason: string;
}

async function cleanupInactiveUsers(
  targets: CleanupTarget[],
  dryRun: boolean = true
): Promise<void> {
  let suppressed = 0;
  let deleted = 0;
  let errors = 0;

  for (const target of targets) {
    if (dryRun) {
      console.log(`[DRY RUN] Would suppress+delete: ${target.userId} (${target.reason})`);
      continue;
    }

    try {
      // Step 1: Suppress — stops all messaging immediately
      await cio.suppress(target.userId);
      suppressed++;

      // Step 2: Destroy — removes from billing
      await cio.destroy(target.userId);
      deleted++;

      // Rate limit to 50/sec for bulk operations
      await new Promise((r) => setTimeout(r, 20));
    } catch (err: any) {
      errors++;
      console.error(`Failed ${target.userId}: ${err.message}`);
    }

    if ((suppressed + errors) % 100 === 0) {
      console.log(`Progress: ${suppressed} deleted, ${errors} errors`);
    }
  }

  console.log(`\nResult: ${suppressed} suppressed, ${deleted} deleted, ${errors} errors`);
}

// Usage: Build target list from your database
// const inactiveUsers = await db.query(`
//   SELECT id FROM users
//   WHERE last_login_at < NOW() - INTERVAL '180 days'
//   AND email_verified = false
// `);

Step 3: Event Deduplication

// lib/customerio-dedup-events.ts
// Prevent sending duplicate events that inflate volume

import { createHash } from "crypto";
import { TrackClient, RegionUS } from "customerio-node";

const cio = new TrackClient(
  process.env.CUSTOMERIO_SITE_ID!,
  process.env.CUSTOMERIO_TRACK_API_KEY!,
  { region: RegionUS }
);

// Simple LRU dedup (use Redis in production)
const recentEvents = new Map<string, number>();
const MAX_CACHE = 50_000;
const DEDUP_WINDOW_MS = 60 * 1000;  // 1 minute window

function isDuplicate(userId: string, eventName: string, data?: any): boolean {
  const hash = createHash("sha256")
    .update(`${userId}:${eventName}:${JSON.stringify(data ?? {})}`)
    .digest("hex")
    .substring(0, 12);

  const last = recentEvents.get(hash);
  if (last && Date.now() - last < DEDUP_WINDOW_MS) {
    return true;
  }

  recentEvents.set(hash, Date.now());

  // Prevent unbounded growth
  if (recentEvents.size > MAX_CACHE) {
    const cutoff = Date.now() - DEDUP_WINDOW_MS;
    for (const [key, time] of recentEvents) {
      if (time < cutoff) recentEvents.delete(key);
    }
  }

  return false;
}

export async function trackDeduped(
  userId: string,
  name: string,
  data?: Record<string, any>
): Promise<void> {
  if (isDuplicate(userId, name, data)) {
    return; // Skip duplicate
  }
  await cio.track(userId, { name, data });
}

Step 4: Event Sampling for High-Volume Events

// lib/customerio-sampling.ts
// Sample high-volume events to reduce API calls

const EVENT_SAMPLE_RATES: Record<string, number> = {
  page_viewed: 0.1,          // Sample 10% of page views
  button_clicked: 0.25,      // Sample 25% of clicks
  search_performed: 0.5,     // Sample 50% of searches
  signed_up: 1.0,            // Always track signups
  checkout_completed: 1.0,   // Always track purchases
  subscription_cancelled: 1.0, // Always track cancellations
};

export function shouldTrack(eventName: string): boolean {
  const rate = EVENT_SAMPLE_RATES[eventName] ?? 1.0;
  return Math.random() < rate;
}

// Usage
if (shouldTrack("page_viewed")) {
  await cio.track(userId, {
    name: "page_viewed",
    data: { url: "/pricing", sampled: true },
  });
}

Step 5: Usage Monitoring

// scripts/cio-usage-monitor.ts
// Track your Customer.io usage trends

interface UsageMetrics {
  identifyCalls: number;
  trackCalls: number;
  transactionalSends: number;
  broadcastTriggers: number;
  webhooksReceived: number;
}

class UsageMonitor {
  private metrics: UsageMetrics = {
    identifyCalls: 0,
    trackCalls: 0,
    transactionalSends: 0,
    broadcastTriggers: 0,
    webhooksReceived: 0,
  };

  increment(metric: keyof UsageMetrics): void {
    this.metrics[metric]++;
  }

  report(): void {
    console.log("\n=== Customer.io Usage Report ===");
    console.log(`Period: ${new Date().toISOString()}`);
    for (const [key, value] of Object.entries(this.metrics)) {
      console.log(`  ${key}: ${value.toLocaleString()}`);
    }
    const total = Object.values(this.metrics).reduce((a, b) => a + b, 0);
    console.log(`  TOTAL API calls: ${total.toLocaleString()}`);
  }

  reset(): void {
    for (const key of Object.keys(this.metrics)) {
      this.metrics[key as keyof UsageMetrics] = 0;
    }
  }
}

export const usageMonitor = new UsageMonitor();

Cost Savings Estimates

OptimizationTypical SavingsImplementation Effort
Delete inactive profiles (180+ days)15-30% profile costLow
Event deduplication5-15% event volumeLow
Event sampling (analytics events)50-80% event volume for sampled eventsLow
Suppress bounced emails2-5% email costLow
Don't identify email-less users5-20% profile costMedium
Annual billing10-20% total costNone

Monthly Cost Review Checklist

  • Review profile count trend (People > Overview)
  • Identify and delete stale test profiles
  • Review segment for users with no email attribute
  • Check bounce rate and suppress chronic bouncers
  • Review event volume by type (optimize high-volume/low-value events)
  • Compare plan tier vs actual usage

Resources

Next Steps

After cost optimization, proceed to customerio-reference-architecture for enterprise patterns.

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