Reporting workflows for revenue growth in performance marketing

Reconciles what each ad platform claims against CRM or order data, and produces a trust factor per channel for budgeting.

Finds Google Display ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Finds LinkedIn ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Finds Meta (Facebook & Instagram) ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Finds Reddit ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Finds Snapchat ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Finds TikTok ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Finds X ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

Finds YouTube ads that are wearing out (rising frequency, falling CTR, rising cost) before they drag down the account.

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.

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.

Tags every ad across channels by angle, hook, format and offer, then finds which creative attributes drive performance across channels.

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.

Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints.

Restates every channel's cost per goal and return using impact-test results, so budget decisions are based on real results, not attributed ones.

Reports ChatGPT revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports Google Display revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports Google Search revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports Meta (Facebook & Instagram) revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports Microsoft (Bing) revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports Reddit revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports Snapchat revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports TikTok revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports X revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Reports YouTube revenue and new-customer share against your return target and profit margin, not just platform-reported revenue.

Grades ChatGPT campaigns on activated and paying users from product data, not raw signups.

Grades Google Display campaigns on activated and paying users from product data, not raw signups.

Grades Google Search campaigns on activated and paying users from product data, not raw signups.

Grades Meta (Facebook & Instagram) campaigns on activated and paying users from product data, not raw signups.

Grades Microsoft (Bing) campaigns on activated and paying users from product data, not raw signups.

Grades Reddit campaigns on activated and paying users from product data, not raw signups.

Grades Snapchat campaigns on activated and paying users from product data, not raw signups.

Grades TikTok campaigns on activated and paying users from product data, not raw signups.

Grades X campaigns on activated and paying users from product data, not raw signups.

Grades YouTube campaigns on activated and paying users from product data, not raw signups.

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.

A weekly ChatGPT readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly Google Display readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly Google Search readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly LinkedIn readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly Meta (Facebook & Instagram) readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly Microsoft (Bing) readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly Reddit readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly Snapchat readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly TikTok readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly X readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

A weekly YouTube readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

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.

A simple daily check of yesterday's ad spend, revenue and return by channel against target, for ecommerce teams.

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.

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.