Klaviyo Performance Tuning

Overview

Optimize Klaviyo API performance with response caching, request batching, cursor-based pagination, sparse fieldsets, and connection pooling. This skill diagnoses where an integration is slow, then applies the right technique — payload reduction, memory caching, bounded pagination, request coalescing, or rate-limit-aware concurrency.

Read this file for the workflow and the decision guide. Full, copy-pasteable code for every step lives in references/implementation.md; combined real-world scenarios live in references/examples.md.

Prerequisites

• klaviyo-api SDK installed
• Understanding of Klaviyo's rate limits (75 req/s burst, 700 req/min)
• Redis or in-memory cache (optional)
• For batching/concurrency helpers: dataloader, p-queue, lru-cache

Klaviyo API Performance Characteristics