time-cyclical

Analyze Google Ads performance patterns across days and hours by CPA, ROAS, and CVR.

17|5|Updated Jun 25, 2026
One-click install
npx skills add https://github.com/portermetricsample/marketing-skills --skill time-cyclical
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: time-cyclical
Source: https://github.com/portermetricsample/marketing-skills/tree/main/google-ads/segmentation/time/cyclical
Command: npx skills add https://github.com/portermetricsample/marketing-skills --skill time-cyclical

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of identifying recurring performance inefficiencies in Google Ads by surfacing patterns across days of the week and hours of the day that are otherwise hidden in aggregate data.

Core Features & Use Cases

  • Cyclical Pattern Analysis: Ranks day-of-week and hour-of-day slots by CPA, ROAS, and CVR to highlight high-performing and low-performing time windows.
  • Data-Driven Filtering: Applies a volume floor to ensure insights are statistically significant, excluding thin slots that lack sufficient conversion data.
  • Use Case: Use this to determine if your ads are consistently underperforming on Sunday mornings or peaking during specific weekday hours, allowing you to optimize your scheduling strategy.

Quick Start

Analyze the cyclical time patterns for the current Google Ads account to identify the best and worst performing hours and days.

Frequently Asked Questions about time-cyclical

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify recurring performance patterns in Google Ads by time of day?

Analyzing cyclical patterns in Google Ads evaluates day-of-week and hour-of-day segments using CPA, ROAS, and CVR. It applies a volume floor to exclude slots with insufficient conversion data, ensuring statistically significant scheduling insights.

Can I find which days of the week have the best ROAS in my Google Ads account?

You can find the best ROAS days by ranking day-of-week performance metrics. The analysis highlights high-performing days while applying a volume floor to filter out time slots with insufficient conversion data for reliability.

Do I need a specific amount of conversion data for reliable day-of-week ad analysis?

Reliable day-of-week ad analysis requires sufficient conversion volume to ensure statistical significance. The analysis applies a volume floor to exclude thin time slots that lack enough conversion data, preventing skewed optimization decisions.

What is the best way to optimize Google Ads scheduling using CPA and CVR metrics?

The best way to optimize Google Ads scheduling is to rank day-of-week and hour-of-day slots by CPA and CVR. This reveals underperforming windows, such as Sunday mornings, enabling targeted bid adjustments.

Why does my Google Ads aggregate CPA hide hourly performance inefficiencies?

Aggregate CPA hides hourly performance inefficiencies because it masks cyclical patterns across days and hours. Segmenting Google Ads data by hour-of-day and day-of-week surfaces these hidden low-performing windows for better scheduling.