Does this require the Klaviyo API SDK?

Yes, the implementation patterns provided utilize the official klaviyo-api SDK for programmatic management of profiles and segments.

How does this skill help reduce Klaviyo costs?

It provides scripts and logic to identify and suppress unengaged profiles, which are the primary driver of Klaviyo's tiered pricing model.

Can I use this to prevent API rate limit issues?

Yes, it includes an API usage monitoring utility to track request volume and warn you before hitting steady-state rate limits.

What is event sampling in Klaviyo?

Event sampling allows you to track only a percentage of non-critical, high-volume events (like product views) to keep your data volume manageable and costs predictable.

Klaviyo Cost Tuning

Name: Klaviyo Cost Tuning
Author: jeremylongshore

byjeremylongshore

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2,028

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Automatización de Marketing

Optimizes Klaviyo billing and platform usage through automated profile management, list hygiene, and event sampling strategies.

This skill provides specialized guidance and implementation patterns for reducing Klaviyo platform costs by targeting the primary billing driver: active profiles. It enables developers to programmatically audit profile counts, automate the suppression of unengaged contacts, and implement event sampling for high-volume, low-value data tracking. By integrating these utilities into your workflow, you can prevent bill shocks, manage API rate limits, and maintain a lean, cost-effective marketing database without sacrificing essential performance metrics.

Características Principales

01Programmatic profile auditing and segment-based cost analysis scripts

02Automated identification and suppression of unengaged profiles to lower billing tiers

03Comprehensive cost reduction checklist for marketing automation hygiene

04Event sampling logic for high-volume tracking data like 'Viewed Product' or 'Page View'

05Real-time API usage monitoring to detect runaway processes and rate limit issues

062,028 GitHub stars

Casos de Uso

01Implementing 'sunset flows' to automatically suppress non-responsive contacts programmatically

02Reducing monthly SaaS expenses by cleaning up inactive or unengaged email subscribers

03Managing high-traffic data ingestion to avoid unnecessary message volume charges

Características Principales

01Programmatic profile auditing and segment-based cost analysis scripts

02Automated identification and suppression of unengaged profiles to lower billing tiers

03Comprehensive cost reduction checklist for marketing automation hygiene

04Event sampling logic for high-volume tracking data like 'Viewed Product' or 'Page View'

05Real-time API usage monitoring to detect runaway processes and rate limit issues

062,028 GitHub stars

Casos de Uso

01Implementing 'sunset flows' to automatically suppress non-responsive contacts programmatically

02Reducing monthly SaaS expenses by cleaning up inactive or unengaged email subscribers

03Managing high-traffic data ingestion to avoid unnecessary message volume charges