Black Friday performance marketing 2026: Plan with care

A fresh Black Friday finding—and its limits

A recent report offers a timely prompt for anyone building a Black Friday ad strategy. Billy Grace’s 2026 Black Friday Playbook draws on aggregated first-party data from ecommerce and omnichannel advertisers using its platform between September and December 2025. Its analysis spans nine paid channels, including Google, Meta, YouTube, TikTok, Pinterest, Snapchat, Reddit, Bing, and Criteo.

In the reported dataset, median CPMs rose from about €6.50 in September and October to €8.83 during Black Friday week 2025, while the median cost per order fell roughly 18% compared with the report’s pre-peak “runway” period. The report also says its median return on ad spend rose during peak week. These are findings from one vendor’s cohort and measurement approach, not a forecast for every retailer or a promise about 2026.

The details matter. The figures use Billy Grace’s Unified Marketing Measurement model, which combines multi-touch attribution and marketing mix modeling and credits view-through conversions. PPC Land’s coverage of the playbook notes that the study does not publish its advertiser count or a country breakdown, and describes important gaps in how the model was validated. Take the headline as a reason to ask better planning questions—not as a universal benchmark.

Why higher CPMs do not automatically mean worse results

CPM is the cost of a thousand ad impressions. It reflects the price of inventory, but it is not a complete measure of whether an advertising program is profitable. An increase can coincide with stronger, weaker, or unchanged business results; the CPM alone cannot establish which is happening.

That distinction is useful during Black Friday season, when competition for ad inventory can change. If CPM rises, the practical follow-up is not necessarily “turn the campaign off.” Instead, check what happens to your own cost per order, conversion rate, contribution margin, and return on ad spend, using measurements you trust. Conversely, a lower reported cost per order is not enough to justify adding budget if the orders have low margins or cannot be tied reliably to the campaign.

The 2025 Billy Grace finding illustrates why the metrics need to be read together: within its cohort and model, the media cost indicator rose while its modeled order-cost indicator fell. It does not prove the same relationship will occur for your store, nor that raising spend causes orders to become cheaper. The evidence gives planners a hypothesis to test, not an automatic budget rule.

Make attribution visible before budgets get busy

Different attribution methods can assign credit for the same sale differently. A last-click report emphasizes the final tracked click before conversion. A multi-touch approach can distribute credit across tracked interactions. Billy Grace’s reported UMM also includes view-through conversions and incorporates marketing mix modeling, so its channel-level results are not directly interchangeable with a last-click dashboard.

The report’s own comparison makes that point especially important: it says several social and video channels looked loss-making under Last Click but cleared break-even under UMM. That is a result of the report’s attribution analysis—not independent proof that each of those channels generated incremental sales. The vendor’s model may offer a useful additional view, but the measurement provider is also the source of the finding.

Before peak season, write down how the business will answer these questions:

• Which system is the source of truth for orders and revenue?
• Are click-through and view-through conversions labeled separately?
• What attribution window is being used, and is it consistent across reports?
• Can the team compare ad-platform results with first-party order records?
• Is there an incrementality test, holdout, or other validation for major channel decisions?

This does not require rejecting modeled attribution. It means distinguishing observed account results, modeled channel credit, and causal evidence rather than presenting them as the same thing.

A careful Black Friday performance marketing plan for 2026

Start with your own economics. Calculate the cost per order your business can sustain after product costs, fulfillment, discounts, returns, and other relevant expenses. Set a target range with finance or leadership before campaign budgets are expanded. A broad industry figure cannot replace this calculation because business margins and customer value differ.

Then prepare a baseline for your account before the busiest period:

1. Check measurement quality. Confirm purchase events, revenue values, analytics tags, and consent behavior are recorded as intended. Investigate unexplained differences between platform reporting and store orders.
2. Separate channel roles. Mark campaigns designed to capture existing demand separately from those intended to introduce new customers or products. Their timing and evaluation criteria may differ.
3. Define guardrails. Set acceptable cost-per-order or return ranges using the store’s unit economics, not a competitor or vendor’s cohort median.
4. Create budget scenarios. Decide in advance how spending will respond if auction costs rise, conversion quality weakens, or inventory and fulfillment become constrained.
5. Make changes measurable. Document the adjustment, expected outcome, comparison period, and conditions for scaling back. Avoid changing bids, budgets, audiences, and creative all at once if you need to understand what caused a result.
6. Plan a review cadence. Check pacing and tracking regularly, but avoid reacting to a single short-term fluctuation without considering the measurement window and business context.

This framework makes the recent report useful without treating its result as a forecast. The 2026 shopping calendar and your own past peak periods can inform preparation; your live data should determine what is working for your business.

Use experiments to settle high-stakes budget questions

If a channel’s value changes substantially depending on the attribution model, do not settle a major investment decision by choosing whichever dashboard supports the preferred answer. Where feasible, use a controlled experiment, geographic holdout, or another incrementality test designed with the relevant analytics team. The precise design depends on the business and available data; the important practice is to plan how the comparison will answer the question before spending changes begin.

An experiment is not a shortcut to certainty. It should have a clear outcome, an appropriate comparison, and a pre-agreed decision rule. When a formal test is not feasible, label the evidence honestly and triangulate it with first-party orders, new-customer quality, and account-level trends. Do not describe a model’s allocated revenue as proven incremental revenue unless the supporting test establishes that distinction.

For peak-week decisions, also account for practical constraints such as stock, delivery promises, and customer support capacity. A media campaign that drives orders beyond what the business can fulfill is not a success simply because its platform metric looks favorable.

A reporting checklist for teams and agencies

A short, consistent report can help marketing, finance, and operations avoid talking past one another. For each major channel or campaign, include:

• Spend and impressions, with CPM clearly labeled.
• First-party orders and revenue for the selected period.
• Cost per order and the business-defined target range.
• Attribution method, window, and any view-through treatment.
• Whether the number is observed, attributed, modeled, or experimentally measured.
• Inventory, promotion, and fulfillment context that may affect results.
• The next action, its owner, and the date for review.

If you cite an industry report, include the publisher, population described, measurement method, period, and key omissions. In this case, note that the Billy Grace finding comes from its platform cohort and UMM model, and that the published coverage says the advertiser count and country breakdown are not disclosed. This prevents a compelling number from silently turning into a guarantee or a target for a different business.

FAQ: Black Friday performance marketing in 2026

What does the 2025 Black Friday cost-per-order finding say?

Billy Grace’s reported cohort had a median cost per order roughly 18% lower during Black Friday week than its pre-peak runway period, while median CPMs were higher. The figures are specific to the report’s advertisers and Unified Marketing Measurement model.

Does that mean ecommerce brands should raise Black Friday ad budgets?

Not by itself. Use your store’s costs, margins, fulfillment capacity, and reliable account-level evidence to determine what budget is sustainable. The report is context, not a forecast or a causal test for your brand.

Why can last-click and modeled attribution disagree?

They can assign conversion credit differently. The Billy Grace report’s UMM includes view-through conversions and marketing mix modeling, whereas last-click emphasizes the final tracked click. Label the method and avoid treating the outputs as equivalent.

What should I measure before the holiday campaign starts?

Verify order and revenue tracking, establish a cost-per-order or return target grounded in unit economics, document attribution settings, and define how you will evaluate budget changes.

Zapplon offers performance marketing, AI agents, and AI video services to help businesses plan, launch, and improve their campaigns. Contact Zapplon to discuss what you need. Services start at $50.