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Amazon PPC

Amazon TACOS Guide

Amazon TACOS, or Total Advertising Cost of Sales, is ad spend divided by total revenue. Unlike ACOS, which only evaluates ad-attributed sales, TACOS shows whether advertising is improving the whole business, including organic sales, repeat orders, and total SKU growth.

TACOS vs ACOS

TACOS Decision Matrix

Signal Meaning Action
ACOS stable and TACOS falling Ads may be supporting organic growth Maintain spend and monitor margin
ACOS improving but TACOS rising Ad efficiency is improving but total sales are not scaling Review organic rank, conversion, and product demand
TACOS rising with flat total revenue Ad spend is not creating incremental growth Cut low-contribution campaigns and review search terms
TACOS high during launch with rank movement Possible short-term growth investment Set a time-boxed test and margin guardrail

Set TACOS Targets by Stage

  1. Launch stage: tolerate higher TACOS while building rank and review velocity.
  2. Growth stage: TACOS should trend down as organic sales contribute more.
  3. Mature stage: keep TACOS within profit guardrails and cashflow limits.

Weekly Review Loop

Common Mistakes

Takeaway

ACOS and TACOS should be used together. ACOS manages tactical efficiency. TACOS validates long-term growth quality. Margin modeling should remain the final decision layer before scaling spend.

FAQ

What is Amazon TACOS?

Amazon TACOS is total ad spend divided by total revenue. It shows how much total sales rely on advertising, not just how efficient ad-attributed orders are.

What is a good TACOS?

A good TACOS depends on product margin, launch stage, repeat purchase behavior, and organic sales share. It should generally trend down as a product matures.

Can ACOS improve while TACOS gets worse?

Yes. ACOS can improve inside campaigns while total revenue stays flat or organic sales decline. That is why TACOS should be reviewed with total sales and margin.

How often should TACOS be reviewed?

Review 7-day and 28-day trends weekly. Avoid making large decisions from one noisy day unless there is a clear spend anomaly.