Ad testing without analysis is guesswork. The Testing Data Analysis Framework, an Agent.so guide, shows you how to move from raw data to real decisions. If you’re running marketing experiments but struggling to extract clear, actionable insights, this guide offers the structure you need to evaluate results, optimize performance, and increase your return on ad spend.

With a step-by-step framework, you’ll learn to interpret test results with confidence and turn findings into strategy.

Build a system for smarter, faster decisions

This guide begins with foundational steps for creating a metrics framework tailored to your campaigns, helping you define what to track, why it matters, and how to monitor it consistently. You’ll then explore how to build clear, actionable dashboards that give you a full view of campaign performance at a glance.

From setting up statistical testing processes to validating outcomes, this guide ensures you avoid false positives and focus only on meaningful patterns in your data.

Move from insights to action, confidently

Once patterns emerge, the focus shifts to generating insights and planning action. You’ll learn techniques for spotting trends, understanding audience behavior, and comparing test segments, followed by guidance on using those findings to shape both short-term tweaks and long-term strategy.

This Agent.so guide also includes a roadmap for ongoing improvement, showing you how to store knowledge, document learnings, and create feedback loops that keep your marketing smarter over time.

Use this guide to turn your test results into repeatable wins, through clear analysis, strategic insights, and data-driven action.