Insights for Developers

A practical guide to the Meta Ads API for developers. Learn what changed in v22.0, why the raw API is painful, and how Xylo makes it dramatically simpler with clean REST endpoints.

Learn how to build AI agents that manage Facebook ad campaigns using the Model Context Protocol (MCP). Step-by-step setup with Claude Desktop and Xylo's MCP server.

An honest, feature-by-feature comparison of Xylo and Pipeboard for ads API integration. Covers platforms, pricing, access methods, and use cases.

A plain-English explanation of the Model Context Protocol (MCP), how it differs from REST APIs for AI agents, and which tools support it today.

How to build unified ad reporting across Meta and Google Ads with a single API. Covers data normalization, common metrics, and practical code examples.

Practical strategies for Facebook ad budget allocation, including AI-driven optimization approaches using the Meta Ads API and automated rules.

A detailed comparison of working with the raw Meta Ads API versus using Xylo's abstraction layer. Covers authentication, response formats, rate limits, and developer experience.

A developer's guide to Meta conversion tracking. Covers Meta Pixel setup, Conversions API (CAPI) implementation, event deduplication, and how to track conversions through Xylo.

Learn how to create, manage, and use Meta custom audiences programmatically. Covers customer lists, website audiences, lookalikes, and the Xylo audiences API.

A practical guide to Meta Ads API rate limits. Covers rate limit tiers, detecting 429 errors, implementing backoff strategies, and how Xylo's caching layer helps.

A step-by-step guide to building Meta lookalike audiences via the API. Covers source audience selection, sizing, country targeting, and optimization strategies.

A practical introduction to the Google Ads API for developers. Covers authentication, first API queries, campaign management, and how Xylo simplifies the integration.

A comprehensive reference for Google Ads Query Language (GAQL). Covers syntax, common queries, filtering, sorting, date ranges, and how Xylo abstracts GAQL away.

How to set up AI agents for Google Ads management using the Model Context Protocol (MCP). Covers Claude Desktop setup, common workflows, and automated optimization.

A practical comparison of the Model Context Protocol (MCP) and REST APIs for building AI agents. Covers architecture, developer experience, performance, and when to use each.

Five practical AI workflows for advertising optimization: budget allocation, creative testing, audience discovery, automated reporting, and anomaly detection. Includes code examples using Xylo.

A comparison of ads API platforms for building AI agents: Xylo, Pipeboard, Windsor.ai, and raw platform APIs. Covers MCP support, data normalization, pricing, and developer experience.

A feature-by-feature comparison of Meta Ads API wrappers and SDKs: Xylo, Pipeboard, Facebook Business SDK, AdEspresso API, and Smartly.io. Covers features, pricing, and use cases.

A step-by-step guide to automating ad management with AI agents. Covers setup, common automation patterns, safety guardrails, and scaling from monitoring to full management.

A practical guide to the TikTok Marketing API for developers. Covers authentication, campaign management, audience targeting, and how Xylo simplifies TikTok Ads integration.