When Shoppers Wait for a Discount: How to Adjust Amazon PPC Bids Around Demand Shifts

Traffic is up. Clicks are up. Orders are flat.

ACOS climbs every day.

For most sellers, that pattern triggers an immediate response: cut bids, trim budgets, tighten the account. In the week or two before a major sale event, that response is usually a mistake.

The shoppers have not disappeared. They are browsing, comparing, and adding products to their carts, and then waiting for the discount they know is coming. The demand is real. It has simply been postponed.

Sellers who cut hard into that waiting period often enter the sale itself with bids too low to compete, just as the shoppers they paid to attract are finally ready to buy.

Two Kinds of Demand Events

Not every seasonal moment works the same way, and the difference changes how advertising should be timed.

This article is about the first kind. In a purchase-during event, the period just before the sale is when intent is highest and conversion is lowest. That combination is what makes it easy to misread.

The effect is strongest for higher-priced products. A shopper considering a $500 coffee machine or a television has every reason to wait for a discount. A shopper buying a $9 consumable they need this week usually does not.

Why the Same Click Is Worth Less Before the Sale

Cost per order is roughly CPC divided by conversion rate.

Cost per order ≈ CPC ÷ Conversion rate

Before a sale, conversion rate falls while CPC holds or rises as competitors prepare. Every click buys less. Running the same bids into that window means paying full price for traffic that is mostly window shopping.

During the sale, the relationship reverses. Conversion rate jumps as deferred shoppers return, and each click becomes considerably more valuable. CPCs also rise, because every competitor is pushing at once.

The right bidding pattern follows that curve: modestly lower before the event, higher during it, and back to normal afterward.

A Worked Example: The Generic Keyword

Consider an illustrative case (not account data). A brand sells baby diapers and runs a single-keyword exact match campaign on "baby diapers." The CPC is $1.00. The keyword produces about one order a day at roughly 80% ACOS.

This is a broad, high-traffic term. Before a major sale, it attracts heavy browsing: shoppers type it in, click to check prices, and leave to see whether the price drops.

One reasonable plan:

Note that the event-day increase is calculated from the original $1.00, not from the reduced bid. The pre-event reduction is temporary. It should not become the new baseline.

Also note what the plan does not do. It does not pause the keyword or cut it deeply. If the product holds any organic rank on that term, dropping out of the auction entirely hands the sales momentum to competitors. A modest reduction saves money on low-intent clicks while keeping the product visible.

Event-Specific Keywords Rarely Earn Their Cost

A common instinct is to launch campaigns targeting phrases like "Black Friday deals" or "Prime Day deals for diapers."

In our experience across several years of managing accounts through these events, those keywords tend to spend without converting. They are extremely broad, every category competes on them, and the shoppers using them are browsing deals in general rather than looking for a specific product.

The better use of budget is generic and product-specific keywords that have already proven themselves. Search query data from the same period last year shows which terms actually drove purchases, and that list is a stronger starting point than any keyword containing the event's name.

Do Not Judge the Account on Waiting-Period Data

The most damaging mistake in this window is not the bid change itself. It is applying an efficiency review to data distorted by deferred demand.

If ACOS rises in the week before a sale and that week is used to identify wasteful targets, perfectly good keywords will look inefficient. Cutting them means entering the event with a depressed account.

Before making efficiency decisions in this period, compare against a longer date range. If a keyword performed well for the previous two months and only weakened in the last seven days, the keyword is probably fine.

Two safeguards make the whole period easier to manage:

• Take an ads backup before making event changes. A bulk file export of campaigns, bids, budgets, and placements captures the account's pre-event state. The best moment is before the waiting-period dip begins, so the backup reflects normal performance rather than depressed bids.
• Revert on a schedule. After the event, sales typically dip again for several days. Restoring the backup at a planned time prevents event-level bids from running into that dip.

Push the Event in Measured Steps

The event itself is where advertising should be most aggressive, but aggression should be staged rather than front-loaded.

Raising bids 40% or 50% on the first morning, and hoping conversions follow, can exhaust budgets by midday or produce an ACOS spike that is hard to recover from. Raising bids around 10% to 12%, monitoring every few hours, and increasing again where performance holds gives the same upside with far less risk.

Budgets need the same attention. Last year's event data shows how much more traffic the account received. Measure it in units sold rather than revenue, since discounts distort revenue. If the account sold twice its normal units during last year's event and is growing year over year, budgets that ran out at normal traffic levels will run out much faster.

Shoppers who added products to their carts before the sale are the warmest audience available. Retargeting them during the event, through audience targeting in Sponsored Display or Sponsored Products, reaches people who have already chosen the product and were only waiting for the price.

Check Whether the Pattern Applies

Not every account behaves this way, and not every product participates in every sale.

• Look at last year first. The business report for the same period last year shows whether sales actually spiked during the event and how demand moved afterward. Gift-friendly products often keep climbing into December, which changes how long elevated bids are justified.
• Treat non-participating products normally. Products without a deal or discount will not see the same surge. Optimize them on their own data rather than applying event bids across the catalog.
• Do not assume weekend patterns hold. An account that normally softens on weekends may not do so during a sale period. Use the event's own data, not routine schedules.

The Takeaway

When shoppers are waiting for a discount, the click in front of you is worth less today and more on the day of the sale.

Pull back modestly in the waiting period without disappearing from the auction. Avoid event-branded keywords. Judge efficiency against a longer date range, not the distorted week before the sale. Back up the account before changing anything, push the event in measured steps, and revert on schedule.

At Extension eCom, we plan sale-event advertising around how each account's shoppers actually behave, using last year's demand curve, current growth, and the products participating, rather than a single rule applied to every catalog.

If your conversion rate drops every time a major sale approaches and it is unclear whether to cut or hold, the answer usually depends on what last year's data shows. Extension eCom can review the account and build a bid plan for the whole event window.