During Black Friday, it’s easy to fall into the same trap as every other year: more discounts, more media, more urgency, and more ads fighting for the attention of the same consumer. The problem is that the consumer has changed, too.
According to Google research for Black Friday 2026, 48% of people arrive at the season with a shopping list already in hand, and 44% start researching prices and conditions before the official period begins. Furthermore, 57% are already using artificial intelligence tools in their shopping journeys.
In other words: by the time your campaign launches, part of the decision may have already been made.
This means that optimizing a Black Friday campaign doesn't just depend on increasing your budget or finding the most aggressive promotion. There is a greater opportunity in making better use of the signals retailers already have: purchase intent, location, product availability, consumer behavior, and individual store performance.
Here are five strategies that can help your operation do just that.
1. Let inventory inform your media decisions
Typically, campaigns are optimized by looking at metrics like conversion, ROAS, cost per acquisition, and sales volume. But there is another piece of information that can completely change that decision: where there is still product available to sell.
Imagine a chain with dozens of stores advertising the same pair of sneakers during Black Friday. In one region, the product is practically sold out. In another, there are dozens of units available. Even so, the media continues to distribute investment equally between the two locations.
There is demand. There is inventory. They just aren't in the same place.
A smarter strategy is to incorporate availability into your campaign analysis. Products with strong demand and available stock in specific regions can receive more exposure, while media for items nearing stockouts can be reduced, redirected to another location, or replaced with equivalent products.
Before Black Friday, try mapping out:
- products with the highest inventory depth by region;
- items with a history of high demand and stockouts;
- stores with excess stock of strategic SKUs;
- regions where there is digital demand but low sales participation;
- substitute products that can take over the campaign if a specific SKU sells out.
In practice, inventory stops being just operational information and starts functioning as a signal for media decisions as well.
2. Create campaigns for needs, not just products
For years, a large portion of retail advertising was built around categories and products.
“55-inch TV.”
"Laptops on sale."
"Refrigerators at 30% off."
This logic still works, but it no longer represents the full scope of how consumers search.
Google notes that searches performed in AI mode are, on average, three times longer than traditional searches. Instead of just entering a product name, consumers are able to explain context, budget, preferences, and the problem they want to solve.
A search for "laptop," for example, might turn into something like:
"Which laptop under $800 is best for video editing and carrying in a backpack every day?"
For Black Friday, this opens up an interesting opportunity: organizing part of your communication around shopping missions, rather than just categories.
Instead of presenting a sequence of isolated products, your campaign can help the consumer solve situations such as:
- furnishing their first apartment;
- upgrading their phone without exceeding a specific budget;
- setting up a home office;
- buying gifts for different profiles;
- starting a new activity or hobby;
- replacing an old appliance with a more energy-efficient option.
Google's own analysis of Black Friday 2026 points to a shift from "product" to "need": the consumer arrives with a more clearly defined problem and expects brands and systems to help them find the solution.
This can influence ads, landing pages, category pages, creative assets, and even how products are grouped.
The discount still exists.
But it is no longer the entire message.
3. Make your nearest store part of the offer
Online, almost every brand competes using the same elements: Price.
Coupons.
Shipping.
Installments.
Discounts.
But retailers with physical stores have an advantage that is often overlooked in media strategy: proximity.
For many consumers, knowing that a product is available nearby and can be picked up that same day can be just as relevant as a few extra percentage points off the price.
This means that the physical store can be part of the campaign's core value proposition.
Instead of driving every consumer to a generic, national experience, brands can leverage messaging and experiences centered on local availability.
“Available near you.”
“Buy online, pick up in-store.”
“Find it at a location near you.”
The point isn't just to add the store to the ad. It’s about using location and availability to reduce one of the biggest uncertainties in the customer journey: “Will I actually be able to buy this when I get there?”
This strategy becomes even more critical during Black Friday, when stock levels and delivery times can change rapidly.
A store with stock can capture demand that e-commerce might not be able to meet within the desired timeframe. Another location might offer immediate pickup. A third might have exactly the product that sold out in another region.
“On Black Friday, the physical store doesn't need to compete with digital. It can be one of the reasons why the digital campaign converts.”
For this to work, however, there is one condition: inventory, product, and location data must be sufficiently connected so that the consumer finds a promise the operation can actually keep.
4. Adjust your investment to match what happens throughout the day
Black Friday is one of the few situations where a campaign landscape can change radically in just a few hours.
At 8 a.m., a store might have 80 units of a certain product.
By noon, 35.
By 4 p.m., only five.
Yet, the campaign might continue receiving budget exactly as planned days before.
This is where another optimization opportunity lies.
Instead of working only with a strategy defined before Black Friday, retailers can establish criteria to react to operational behavior during the campaign itself.
If a specific SKU is close to running out in a region, for example, there are several possible decisions:
- reduce its exposure in that location;
- prioritize a similar product;
- direct consumers to a nearby store;
- redistribute investment to regions with higher stock;
- increase the exposure of products that need higher turnover.
The same logic applies to positive movements.
According to Google, automated and AI-based operations delivered an 18% higher ROAS than manual operations in a Brazilian meta-analysis that evaluated R$ 12 billion in media investment.
The point is not simply to automate campaigns.
It is to reduce the gap between a change in operations and the strategy's ability to respond to that change.
5. Also measure the sales that could have happened
When Black Friday ends, some indicators appear immediately.
Revenue, conversions, ROAS, average ticket, new customers—all are important.
But there is another question that can yield much more relevant insights for your next campaign:
Where was there demand that your operation failed to capture?
A campaign can perform well and still hide missed opportunities.
Google found an interesting signal regarding this difference between generating demand and actually capturing it. In an analysis conducted by Google Cloud with 35 major Brazilian e-commerce retailers, 18 experienced some type of technical or process failure in the customer journey during the previous Black Friday. More than half.
This shows that there is a layer of performance that happens after the click. It could involve inventory, integration, the shopping experience, availability, or the ability to turn data into decisions.
That is why a post-Black Friday analysis can go beyond asking which campaigns had the best return.
The best campaign may be the one that reacts best
During Black Friday, competing for attention alone is becoming increasingly expensive.
Half of consumers say they have difficulty identifying which promotions are actually worth it, according to Google's research for 2026. In an environment saturated with offers, simply adding another campaign to the feed may not be enough.
The opportunity lies in making better use of what large chains already produce daily: data on products, demand, inventory, location, stores, and shopping behavior.
When this information starts to connect, media stops being just a tool for generating traffic. It begins to help steer demand toward where there is the greatest opportunity to convert it. And perhaps that is an important shift for this Black Friday.
