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Automate ChatGPT Ads reporting workflows

Automate ChatGPT Ads reporting workflows

Browse 22 ChatGPT Ads reporting workflows in the Workflow Automation Library. Each one runs inside a Roadway AI coworker, with changes held for approval. ChatGPT Ads are a new surface where intent shows up as prompts, so the agent maps prompt themes to offers and tracks answer-level visibility. Pick a workflow, add it to your Roadway agent, and review the first run before anything goes live.

All matching workflows

Joins ChatGPT leads to CRM stages so you can see which campaigns create pipeline, not just form fills.
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+4
Tags every ad across channels by angle, hook, format and offer, then finds which creative attributes drive performance across channels.
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Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints.
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Reports ChatGPT revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.
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Grades ChatGPT campaigns on activated and paying users from product data, not raw signups.
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A weekly ChatGPT readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.
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+4
A simple daily check of yesterday's ad spend, revenue and return by channel against target, for ecommerce teams.
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Works across all channels

+5
Reconciles what each ad platform claims against CRM or order data, and produces a trust factor per channel for budgeting.
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+5
Forecasts month-end spend, goal volume and cost per goal for each channel with a likely range, and says what to change today to hit plan.
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+5
Measures the true impact of big account changes (a restructure, a bid strategy switch, a new channel) against a comparison group rather than before and after.
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+5
Reports what a new customer costs overall and on paid channels, how fast that cost pays back and how it compares with customer value, using CRM and billing data rather than platform conversions.
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+5
Restates every channel's cost per goal and return using impact-test results, so budget decisions are based on real results, not attributed ones.
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+5
Connects launch campaigns to feature adoption, activation and pipeline in product and CRM data, so launch spend is judged on business impact.
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+5
Shows how fast paid-sourced opportunities move and close by channel: win rate, deal size and cycle length, not just pipeline created.
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+5
The performance marketing agent's general report: one view of spend, results and cost per goal across every connected channel, with what changed and why. Affiliate and SEO numbers are optional extras that need a data source you connect.
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+5
A 30-day review of a launch across channels: what drove adoption or pipeline, what to fold into always-on, and what to stop.
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+5
A short morning digest of yesterday vs. normal on spend, attributed conversions and cost per new customer for every channel, with anything off-pace or broken called out first.
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+5
A simple daily check of paid signups and what each costs by channel, plus yesterday's activations, for PLG teams.
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+5
Ranks the biggest dollar opportunities across every channel this week (budget-limited winners, wasted spend, expansion and tests to run) so Monday's approval queue starts with what matters.
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+5
A simple read on how launch campaigns did in their first 7 days by channel: spend, reach, clicks and goal events.
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+5
A weekly snapshot of pipeline created by paid channels: qualified leads, opportunities and pipeline value by channel.
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+5
Reviews what every coworker did, what it changed and what happened (Task History plus action-impact memory), and proposes the next workflows worth automating, or the ones to retire.
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