PPC & Ads · Blog post · source The page shows no publish date.
Amazon Ads Budget Forecasts with Skai Celeste
Forecast ad budgets and explain new-to-brand growth across business units
“$839K in incremental revenue opportunity identified across 3 clients for Q4”
Per source From the tool's vendor, not independently tested.
Copy-paste prompt
For each campaign, show the hours per day it ran out of budget over the last 30 days, the sales per hour it earns while live, and the revenue it likely missed. Rank campaigns by missed revenue, and recommend a new daily budget for the top 10 that stays within a total increase of [amount], with the expected revenue for each change.
The source didn't publish its exact prompt. We wrote this starter so you can try the same workflow. Replace anything in [brackets].
What they did
The agency Code3 used Skai's Celeste AI, a GenAI agent that answers questions over performance data, on large Amazon advertisers with several business units. It asked Celeste about out-of-budget trends by campaign, tactic and business unit to get budget recommendations with forecast revenue impact; replaced manual audits with cross-unit gap analysis; built custom new-to-brand columns and saved prompts on what drives customer acquisition; kept a shared prompt bank for client reporting with each client's KPIs, promotions and tentpoles in the prompts; and asked for bid, budget and targeting recommendations tied to ROI goals.
How it went
Skai reports 17-50% more time in budget (3-7 hours gained), $839K in incremental revenue opportunity identified across 3 clients for Q4, a $240K-$661K revenue increase from improved time in budget, a 12-19% rise in new-to-brand share of sales, and 25% faster insight generation for client reporting.
We only report what the source says. Results are self-reported unless noted.
Worth knowing
A vendor case study with no publish date on the page. The $839K is an identified opportunity, not booked sales. The shared prompt library is the part any team can copy.