In peak season there is far more traffic than your existing campaigns are structured to capture, and it does not behave the way it does in March. **Running five auto campaigns per product at different bids is a way of buying that traffic without having to predict which bid is right.**

**You are not optimising. You are sampling — then killing the losers fast and tripling down on the winners.**

[Watch the walkthrough](https://kb.trackiq.com/kb-assets/kbvideo-bulkauto-explainer-0dbd75bd.mp4)

*Prefer to watch? One hundred and seventy seconds on building the bid ladder from your average CPC, the daily kill-and-scale rules, and watching TACOS rather than ACOS alone.*

## **Who this is for**

**Your best-selling products only**, and specifically those that do **at least 1.5× their normal sales** in peak.

**Not the whole catalogue.** This tactic needs daily attention, and spreading it across twenty products means none of them gets the daily attention it depends on.

## **Step 1: launch five auto campaigns per product**

**Five campaigns, identical except the bid.**

**Set the bid ladder from your current average CPC.** The bids sit below it, spaced evenly:

| Your average CPC | Bid ladder |
|---|---|
| **$1.80** | $0.75 / $0.80 / $0.85 / $0.90 / $0.95 |
| **$1.00** | $0.35 / $0.40 / $0.45 / $0.50 / $0.55 |

**All four targeting groups on:** close match, loose match, substitutes, complements.

**Close match bid 15–20% higher** than the other three.

**Top of Search modifier 30%.**

**Budget $10–30 per campaign.**

**The ladder is the mechanism.** You do not know which bid clears in a market where everyone's CPC is inflated, so you buy five answers and let the data pick.

## **Step 2: the first seven days**

**Checked daily. Not weekly — daily.** Peak season compresses everything, and a campaign wasting money for six days has wasted most of its season.

**Three checks:**

**1. Is it spending?** Under 75% of budget → **raise under-clicked target bids 7%**, or **raise Top of Search 15%**.

**2. What is bleeding?** A target with **15+ clicks and no sales → pause the target.** A campaign with bad ACOS or heavy clicks and no sales → **pause the campaign.**

**3. What is working?** A campaign at good ACOS → **triple the budget.** Raise bids on strong targets **5–7%**. Raise placement bids where placements perform.

### **Define good and bad against breakeven, not by feel**

**Bad ACOS = 15% above your breakeven.**

**Good ACOS = at least 5% below your breakeven.**

**Anything between the two is neither — leave it alone and let it run another few days.**

**One exception on placements: do not raise the Product pages bid**, even when it looks like it is performing. Detail-page traffic in peak converts differently and scales badly.

![Campaigns against target, sorted by what needs attention](/kb-assets/shot-adv-campaigns-view-77ace2.png)

**Ranking every campaign against its breakeven daily is what makes a five-campaign-per-product structure manageable** — see [**Rule-Based Optimization: Automating Bids and Budgets**](https://kb.trackiq.com/hc/knowledge-base/articles/rule-based-optimization). Twenty-five auto campaigns across five products, checked by hand every morning through Q4, is a full-time job.

## **Step 3: expand what is working**

**Once the first five show real performance, launch five more at different bids.** Same optimisation rules.

**Then launch a third set with dynamic bids up-and-down**, to test whether letting Amazon raise bids improves things. In peak it often does — but test it rather than assuming it.

**Then roll the whole tactic out to additional products** in the portfolio.

**The sequence matters.** Expand only after the first set proves itself on this product, in this season. Peak behaves differently every year.

## **Step 4: keep reallocating**

**Profitable and hitting its budget cap → raise the budget.**

**High ACOS → cut the budget or pause.**

**Move the money from the second group to the first**, continuously.

**And if product TACOS is where you want it and budget is available, create more auto campaigns.** There is no natural limit here other than TACOS and attention.

**Watch TACOS daily, not ACOS alone.** ACOS tells you whether a campaign is efficient; TACOS tells you whether the whole product is still profitable while you scale — see [**Setting Target TACOS per Product**](https://kb.trackiq.com/hc/knowledge-base/articles/setting-target-tacos-per-product).

## **Why it works**

**Auto campaigns find search terms your manual campaigns do not have**, and peak season brings shoppers using language your keyword research never saw.

**Five bids per product means you are not betting on one guess** about what a click is worth in an inflated market.

**And killing losers on a 15-click rule means the failures are cheap** while the winners get tripled.

**It is deliberately a volume strategy.** Most of the campaigns will be cut. That is the design, not a failure of it.

## **Common mistakes**

**Running it on average products** instead of the ones with genuine peak uplift.

**Checking weekly.** The whole method depends on a daily cycle.

**Defining good and bad ACOS by feel** rather than against breakeven.

**Scaling budgets without watching TACOS**, and growing revenue into a loss.

**Raising Product pages placement bids** because they look good in week one.

**Expanding to more products before the first set has proven itself.**

**Leaving it running after peak.** These bids and budgets are built for inflated traffic; in January they are simply overspending.

## **Related**

- [**Easy-Win Campaigns**](https://kb.trackiq.com/hc/knowledge-base/articles/easy-win-campaigns) — the year-round version of buying cheap traffic.
- [**Prepare for Prime Day: Budget Rules and Inventory Cover**](https://kb.trackiq.com/hc/knowledge-base/articles/prepare-for-prime-day) — the same discipline at a shorter event.
- [**Setting Target TACOS per Product**](https://kb.trackiq.com/hc/knowledge-base/articles/setting-target-tacos-per-product) — the ceiling all this scaling runs against.