Your peak-season ROAS targets are probably wrong for retail too

Surge pricing during a big event doesn't mean the ride got worse. It means a lot more people needed a ride at the same time, and the price moved to reflect that. Nobody looks at a $40 fare on New Year's Eve and assumes the driver is suddenly bad at their job, but that's sort of what happens every year when retail brands grade their peak-season campaigns against the same ROAS target they use in a slow week in March.

For a brand selling through retail partners, the weeks around Black Friday, Cyber Monday, and the holiday season are often the highest-revenue stretch of the entire year, both online and in-store, which makes them exactly the wrong moment to be reading your numbers wrong.

Key takeaways

• Marketing efficiency shifts during peak retail periods, so grading peak-season campaigns against a flat, year-round ROAS target misreads both performance and context.
• Retail promo periods pull both online and in-store demand at the same time, so halo-effect revenue tends to accelerate right alongside direct sales.
• A campaign that looks less efficient during a peak week can still be the most valuable spend of the year once you account for where that revenue actually lands.
• Standard budget optimization approaches have been shown to significantly overspend during peak seasonal windows because they struggle to separate the demand a campaign created from demand that would have shown up anyway.
• Saturation doesn't hit every campaign or every retail channel at the same point, so assuming you've already maxed out a channel heading into peak season can leave real revenue on the table.
• Retail brands need a peak-season benchmark that reflects both online and in-store impact, not a target inherited from an average week.

Why a flat ROAS target breaks down once retail hits peak season

Most ROAS targets get set once and reused all year, which works fine when demand is roughly steady. Peak retail periods aren't steady. Costs go up because everyone's competing for the same shoppers, but so does purchase intent, so a slightly lower ROAS during a peak week can still represent far more profitable spend than a higher ROAS in a slow one.

The mistake shows up in both directions. Some brands pull back the moment ROAS dips below their usual benchmark, right when demand is at its highest. Others assume any number above their target during peak season means they've found a winning formula, when really the whole market got easier to sell into for a few weeks because everyone’s primed to buy.

What peak season actually does to retail halo effects

Retail promo periods lift direct online sales, but they also pull shoppers toward a purchase everywhere a brand sells, including a retailer's own site and the physical store itself. A campaign that nudges someone to add an item to their holiday shopping list is often doing double duty: some of that intent converts online, and some of it walks in the door at Target or Ulta the next time the shopper is already there.

If a brand is only crediting the online portion, a campaign that's actually driving real in-store traffic during the busiest weeks of the year can look far weaker than it is. That's the same underrating problem that shows up any time of year, just amplified, because peak season is when both online and in-store demand are moving at once.

What the research says about peak season budget errors

Prescient's research team has found that standard optimization approaches used broadly across the industry can lead brands to substantially overspend during peak seasonal windows, largely because those approaches can't reliably tell the difference between revenue a campaign created and revenue that would have shown up anyway during a naturally high-demand week. We've written about the mechanics behind that finding in detail here.

For retail brands specifically, this risk compounds. Since online and in-store demand are both spiking together during peak season, there's more room for a model to get confused about which revenue came from a campaign and which was always going to happen, and more budget on the line when that miscalibration turns into a spending recommendation.

Why "already maxed out" is often the wrong read

A lot of brands walk into peak season assuming their top campaigns are already saturated. Saturation curves don't apply evenly across every campaign, and they don't apply evenly across every retail channel either. A campaign that plateaus in a normal week can still have real room to scale once demand shifts into a higher gear.

Treating every channel as maxed out by default means leaving revenue on the table during the exact weeks when the market has the most appetite to spend. The channels worth scaling during peak season aren't always the ones you'd expect based on how they performed in October.

Building a peak-season benchmark that actually fits your retail mix

A benchmark built for an average week was never going to hold up during the biggest revenue window of the year. Retail brands need peak-season targets that account for both the direct and halo-effect revenue a campaign drives, across online and in-store, so the campaigns actually earning their spend during peak season don't get mistaken for underperformers.

Where Prescient comes in

Prescient's model adjusts to what's actually happening in your business instead of applying one static efficiency target across the calendar. That includes accounting for halo-effect revenue landing in a retailer's online shop and physical location during the exact weeks when that kind of spillover accelerates the most.

Heading into peak season with a benchmark that reflects your real retail mix allows brands like yours to confidently scale their best campaigns. Book a demo to see how the Prescient platform can reveal what your peak-season numbers actually look like once halo effects are in the picture.