# Amazon Ads Campaign Intelligence: Which Recommendations to Apply Before Black Friday

Amazon Ads campaign intelligence is live for US sellers. Which bid, budget and targeting recommendations to apply before Black Friday, which to edit, which to skip.

**TL;DR:** Amazon's campaign intelligence dashboard, live for US sponsored ads advertisers from October 2026, recommends bid, budget and targeting changes you apply, edit or skip. It sees the auction, not your margin or stock. Apply increases only below break-even ACoS with stock to cover Black Friday, turn targeting expansions into capped tests, and skip anything that reverses a deliberate decision.

URL: https://autron.ai/blog/amazon-ads-campaign-intelligence-dashboard  
Updated: 2026-10-26  
By: Adrian Steele

---

You open a campaign in Amazon Ads this week and there is a new panel at the top: a short explanation of what is driving the campaign's results, and a list of suggested changes, each with an Apply, Edit and Skip button. One says a top keyword is losing impression share and offers a higher bid. Another offers more budget. A third wants to widen your targeting.

That panel is the **Amazon Ads campaign intelligence** dashboard. Amazon [announced it in September](https://advertising.amazon.com/library/expert-advice/sponsored-ads-small-business-tools) and is rolling it out to every US sponsored ads advertiser in October 2026, at no extra cost. The timing matters: Black Friday is November 27, Cyber Monday is November 30, and CPCs climb every week between now and then. Applying the wrong suggestions in the next four weeks costs more than at any other point in the year.

This post covers what the dashboard does, what it cannot see, how to decide on each recommendation, and what changes in January when Amazon starts acting on its own suggestions.

## What the Amazon Ads campaign intelligence dashboard does

According to [Amazon's announcement](https://advertising.amazon.com/library/expert-advice/sponsored-ads-small-business-tools), the dashboard "analyzes activity, explains how each campaign is performing, what is impacting results, and how to improve." The recommendations fall across three controls: targeting, bidding and budget.

| | |
|---|---|
| Where it lives | The campaign overview page for sponsored ads |
| Who gets it | All US sponsored ads advertisers, from October 2026 |
| Cost | No extra cost |
| What it recommends | Bid adjustments, budget changes and targeting changes |
| Example from Amazon | A top-performing keyword losing impression share, with a bid increase to recapture it |
| Control | You apply, edit or skip each action. Nothing changes until you do. |
| What comes next | Auto-optimization, planned for US advertisers in January 2027 |

The explanations are the most useful part for most sellers. A plain-language note that a campaign's sales fell because a keyword lost impression share is faster to read than a [search term report](https://autron.ai/blog/amazon-search-term-report-guide). The recommendations need more care.

## Why a recommendation is not a decision

The dashboard is good at reading the auction. It can see impressions, clicks, impression share, spend and attributed sales for every target in the campaign. Its suggestions are sensible readings of that data: if a keyword converts well and is losing visibility, bidding more will usually win it back.

What it cannot see is everything that decides whether winning it back makes you money:

- **Your margin.** The dashboard knows your ACoS, not your break-even ACoS. Amazon's holiday peak fulfillment fees started on October 15 and [lower break-even ACoS by roughly two points](https://autron.ai/blog/amazon-break-even-acos-q4-2026-peak-fees) on a typical FBA unit, so a keyword that was profitable in September may not be now.
- **Your stock.** More traffic on a product with three weeks of cover before Black Friday is a stockout, and a stockout costs organic rank as well as sales.
- **Your intent.** If you paused a campaign, narrowed to your strongest ASINs or cut a keyword on purpose, the data can make that look like a missed opportunity.
- **Your listing.** A falling click-through rate can be a bid problem, a weaker main image than the competitor beside you, or a price that stopped being competitive. A higher bid only fixes the first.

None of that is a flaw in the dashboard. Its goal, more of your good campaigns winning more auctions, is reasonable. It just is not the same as your goal, which is profit per unit after fees. That gap is where the decision sits.

## How to triage each Amazon Ads recommendation

Treat every card as a question, not an instruction. For each one, you need two numbers you probably already have: the target's ACoS over the last 30 days, and your break-even ACoS for that product (margin before ad spend, divided by price). If you have not recalculated break-even since the October fee change, do that first: the [break-even ACoS calculator](https://autron.ai/tools/acos-calculator) works it out per SKU, and the [ACoS vs TACoS guide](https://autron.ai/blog/acos-vs-tacos-amazon) explains why the ceiling moves.

![A decision flow for an Amazon Ads campaign intelligence bid recommendation: well below break-even ACoS with stock for eight weeks means apply, close to break-even means edit to half the increase or a capped test, and above break-even or short on stock means skip](https://autron.ai/blog/amazon-ads-campaign-intelligence-dashboard/triage.webp)

| Recommendation | Apply when | Edit when | Skip when |
|---|---|---|---|
| Raise a bid to recapture impression share | ACoS is at least 5 points below break-even and stock covers 8+ weeks | ACoS is close to break-even: take half the suggested increase | ACoS is above break-even, or stock is short |
| Raise a campaign budget | The campaign runs out of budget before evening and is profitable overall | Spend is spread across good and bad terms: add negatives first | Most spend goes to terms above break-even |
| Expand targeting (new keywords, broader reach) | You have a proven product and room in the budget | Almost always: move it into a separate campaign with a capped budget and a lower bid | The campaign is an exact-match winner you want kept clean |
| Performance explanation | Always read it | Check the cause before acting | Never ignore it |

A few rules sit underneath the table.

**Bid increases on proven terms are the safest cards.** A keyword with 30 days of conversions below break-even, losing impression share in the busiest month of the year, is exactly where more spend pays. These are the recommendations to apply first.

**Budget increases should follow cleanup, not replace it.** If a campaign is capped by budget, the first question is what the existing budget is buying. Cutting non-converting search terms with [negative keywords](https://autron.ai/blog/amazon-negative-keywords-guide-cut-wasted-ad-spend-2026) often frees enough money that the increase is no longer needed.

**Targeting expansion is best as a test.** New keywords and broader reach can find real demand, especially in Q4 when shoppers search more widely for gifts. But mixing them into a tightly built exact-match campaign muddies its data and shares its budget. Edit the suggestion into its own campaign, cap it, and promote the terms that convert.

**Undoing your own decisions needs a reason.** If a recommendation reverses something you did deliberately, skip it unless the reason you made that decision has changed.

## A weekly routine from now to Cyber Monday

The dashboard is most useful as a fixed habit rather than an occasional check. Fifteen minutes on a set schedule, with a log, is enough.

![A timeline of Amazon Ads recommendation reviews before Black Friday 2026: weekly reviews now, Black Friday budgets set in mid-November, checks every one to two days from November 26 to 30, and a December 1 rollback, tracked in a change log](https://autron.ai/blog/amazon-ads-campaign-intelligence-dashboard/routine.webp)

1. **Now to mid-November: weekly.** Recalculate break-even ACoS per product with the peak fees. Apply bid increases on proven terms with stock to cover. Turn targeting expansions into capped test campaigns, so they have three weeks to show results before the peak.
2. **November 16 to 25: weekly, tighter.** Decide your Black Friday budgets now, not on the day. Use the dashboard's budget suggestions as a check on campaigns you expect to cap out early, and add negatives before adding budget.
3. **November 26 to 30: every day or two.** Cyber Five traffic moves fast. Watch for campaigns running out of budget before evening, and for products where stock is falling faster than planned. On a product near stockout, lower bids instead of raising them.
4. **December 1: roll back.** Return holiday bid and budget increases to pre-peak levels, then let the data from December decide which ones stay.

Keep a simple log for every card you apply: date, campaign, the change, and the ACoS before. Two weeks later, compare. This is the only way to know whether the dashboard's suggestions work on your account, rather than on average across Amazon's.

## Auto-optimization: when recommendations become actions

The dashboard is the first step. In January 2027, Amazon plans to launch [auto-optimization](https://advertising.amazon.com/library/expert-advice/sponsored-ads-small-business-tools) for US advertisers. It will expand product targeting, add relevant keywords, pause underperforming ones, and pick up seasonal search terms, working "within the advertiser's existing campaign settings." Amazon says you can see how each action performs and reverse it at any time.

Amazon reports that in beta, keyword auto-optimization delivered [a first sale 40% faster and a 13% increase in sales](https://advertising.amazon.com/library/expert-advice/sponsored-ads-small-business-tools). Those are sales figures. Amazon has not published what happened to ACoS or profit in the same test, so read them as evidence the feature finds demand, not that it finds profitable demand.

![An Amazon Sponsored Products campaign drawn as a fenced field, with bid caps, daily budget and negative keyword lists as the fences that keep automated keyword additions and pauses inside the seller's limits](https://autron.ai/blog/amazon-ads-campaign-intelligence-dashboard/guardrails.webp)

The phrase "within existing campaign settings" is the important one. Once Amazon acts on its own, your settings become the guardrails: your bid caps, your budgets and your negative keyword lists decide how far automation can go. The sellers who do best in January will be the ones who spent November setting those limits deliberately, with margin in mind, and who already have a log showing which kinds of recommendation pay on their account.

## Where Autron fits

The weak point of any recommendation feed is the step between seeing a card and deciding on it. A recommendation nobody applies is worth nothing, and one applied without checking margin can cost money. That gap is what [Autron](https://autron.ai/) is built to close.

**Autron Pro** runs the daily loop for you against a target you set, ACoS or TACoS, with your product costs as an input: bid optimization through the day, placement adjustments, dayparting, negative keyword harvesting, and new exact-match campaigns from search terms that convert. It decides against your margin rather than the auction alone. Pro is $150 a month plus a small share of the ad sales Autron drives, paid from day one. See [pricing](https://autron.ai/pricing) for the full tiers.

If you want to look at your own account first, the free plan gives you the Autron agent on 5 credits a day, no card needed. Ask it which of your keywords are running above break-even after the peak fees, or which campaigns ran out of budget last week. Start with a [free PPC audit](https://agent.autron.ai/start?intent=audit) before you apply the cards in your dashboard.

## FAQ

### What is the Amazon Ads campaign intelligence dashboard?

It is a dashboard on the campaign overview page for sponsored ads, announced by Amazon in September 2026 and rolling out to all US advertisers in October at no extra cost. It explains how each campaign is performing and what is driving results, then recommends targeting, bidding and budget changes, each with a visual of its likely impact.

### Should I apply every Amazon Ads recommendation?

No. The dashboard reads your campaign data, not your product costs, stock levels or the strategy behind your account. Apply bid and budget increases only where the keyword or campaign runs below your break-even ACoS and you have inventory to sell through the extra traffic. Edit targeting expansions into capped tests, and skip recommendations that undo a decision you made on purpose.

### Does the campaign intelligence dashboard change my campaigns automatically?

No. Every recommendation waits for you to apply, edit or skip it. Automatic changes arrive separately with auto-optimization, which Amazon plans to launch for US advertisers in January 2027 and which works within your existing campaign settings.

### How often should I check the dashboard before Black Friday?

Once a week until November 25, then every day or two from Thanksgiving, November 26, through Cyber Monday on November 30. Log what you apply with the date, so you can compare each change against the period before it and roll back increases on December 1.