Optimize Customer.io costs and usage efficiency. Use when reducing profile count, cleaning inactive users, deduplicating events, or right-sizing your plan. Trigger: "customer.io cost", "reduce customer.io spend", "customer.io billing", "customer.io pricing", "customer.io cleanup".
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Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/customerio-pack/skills/customerio-cost-tuning/SKILL.mdOptimize 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.
Customer.io bills based on profile count (number of identified people in your workspace) and email/SMS volume. Key cost drivers:
| Factor | Impact | Optimization Strategy |
|---|---|---|
| Total profiles | Primary cost driver | Delete inactive profiles |
| Email sends | Per-email cost above tier | Suppress unengaged users |
| SMS sends | Per-SMS cost | Only send to opt-in users |
| Overidentification | Creates unnecessary profiles | Don't identify users who'll never receive messages |
| Event volume | Can increase processing costs | Deduplicate and sample |
// 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");// 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, ${errors} errors`);
}
// Usage: Build target list from your database
// const inactiveUsers = await db.query(`
// SELECT id FROM users
// WHERE last_login_at < NOW() - INTERVAL '180 days'
// AND email_verified = false
// `);// lib/customerio-dedup-events.ts
// Prevent sending duplicate events that inflate volume
import { createHash } from "crypto";
import { TrackClient, RegionUS } from "customerio-node";
const cio = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_TRACK_API_KEY!,
{ region: RegionUS }
);
// Simple LRU dedup (use Redis in production)
const recentEvents = new Map<string, number>();
const MAX_CACHE = 50_000;
const DEDUP_WINDOW_MS = 60 * 1000; // 1 minute window
function isDuplicate(userId: string, eventName: string, data?: any): boolean {
const hash = createHash("sha256")
.update(`${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 });
}// 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 },
});
}// 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();| Optimization | Typical Savings | Implementation Effort |
|---|---|---|
| Delete inactive profiles (180+ days) | 15-30% profile cost | Low |
| Event deduplication | 5-15% event volume | Low |
| Event sampling (analytics events) | 50-80% event volume for sampled events | Low |
| Suppress bounced emails | 2-5% email cost | Low |
| Don't identify email-less users | 5-20% profile cost | Medium |
| Annual billing | 10-20% total cost | None |
After cost optimization, proceed to customerio-reference-architecture for enterprise patterns.
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