You know your average ROAS, not where your next dollar is profitable.

We build predictive models based on your historical AMC data to forecast ads performance and allocation.

Ad Spend →Sales↑Average ROASlooks good (steep line)Marginal ROASnearly flat (diminishing)Are you here?Profitable zoneDiminishing returnsThe curve flattens →each new dollar returns less

The Challenge

Your average ROAS

You know this number. You don't know where the next dollar stops being profitable.

DSP Attribution

DSP says it's working. How many sales were going to happen anyway?

Cross product sales

A customer clicks one ad and buys three other products. The ad interface explains that nowhere.

What we look at

01

Where spend stops being profitable, product by product

02

Whether DSP is adding sales or claiming credit

03

Which products drive revenue for others without showing it

04

Custom data driven AMC analysis driven to show context and opportunities

What this won't explain to us

Organic ranking momentum. Review velocity. Competitive defense. Category growth.

AMC gives us the context

The saturation and incrementality analysis shows you the math, AMC the context. The strategy accounts for what the math can't measure.

What you walk away with

Concrete assets to transform your advertising strategy.

Performance report with per product recommendations
Holistic review with specific fixes
Audience fixes and event calendar
Walkthrough strategy session

Who's behind it

You're probably wondering if this is another AI generated report. It's not.

Data driven custom analysis, built by a team who ran $1M+ in DSP campaigns in and out of Amazon, built tools before AI, and won an Amazon Ads Partner Award doing it.

Ready to find out?

VICTOR.AD is an Amazon DSP planning tool. Consultancy is the expert layer for accounts that need diagnosis first.

1Call2Audit3Report

Not every account has enough data for this. No commitment, no pitch.