The US holiday shopping season puts advertising budgets under pressure. With Black Friday, Cyber Monday and Christmas campaigns running across paid search, paid social, programmatic display, online video and connected TV (CTV), understanding which channels are delivering results becomes increasingly important.
Each channel plays a different role in the customer journey and reports performance using different metrics. The challenge is understanding how these activities work together and whether the overall media investment is delivering the intended results.
A shopper might discover a product through a streaming ad, research it through search and eventually purchase after clicking a retargeting ad. Each platform may report its own contribution to that sale, making it difficult to determine which interactions influenced the outcome and how efficiently the overall budget was spent.
For agencies managing multiple clients, this creates another layer of complexity. They need to clearly explain performance, justify media investment, and identify opportunities to improve results while campaigns are still running.
Measuring holiday advertising ROI across channels requires a consistent approach to campaign objectives, reporting and optimisation. It also means recognising what the available data can demonstrate, and where attribution alone cannot provide the full picture.
1. Define What Success Looks Like Before Campaigns Launch
Before comparing channels, establish what the campaign is expected to achieve. Without clear objectives, even a detailed performance report can lead to the wrong conclusions.
An ecommerce brand focused on holiday sales will have different priorities from a business generating leads or a consumer brand building awareness. A sales campaign may be evaluated using revenue, conversion rate, cost per acquisition (CPA) and return on ad spend (ROAS). An awareness campaign may focus more on reach, frequency, viewability and brand lift, where measured. A lead-generation campaign may need to consider lead quality and progression through the sales pipeline.
These differences matter when building a multichannel media plan. A CTV campaign designed to introduce a product to new audiences should not be judged solely on immediate sales. Similarly, a retargeting campaign aimed at shoppers who have already shown interest should be evaluated against its ability to generate meaningful actions.
Agree on the primary business outcome, supporting metrics, conversion definitions and reporting periods before the campaign begins. This gives agencies and clients a shared basis for evaluating performance and reduces the risk of changing the definition of success halfway through the holiday season.
2. Understand the Difference Between ROI and ROAS
ROI and ROAS are often used interchangeably in advertising reports, but they answer different questions.
Return on ad spend (ROAS) compares attributed revenue with advertising spend. For example, if a campaign generates $60,000 in attributed revenue from $15,000 in advertising spend, its ROAS is 4x. In other words, the campaign recorded $4 in attributed revenue for every $1 spent on advertising.
However, that does not mean the campaign generated $45,000 in profit. Product costs, fulfilment, discounts and other expenses affect profitability.
Return on investment (ROI) measures the financial return relative to the investment, accounting for the relevant costs and returns included in the calculation. While ROAS helps assess media efficiency, ROI provides a broader view of financial return when the necessary cost and revenue data is available.
For agencies reporting to clients, this distinction is important. A campaign with a lower ROAS may still be valuable if it attracts new customers who go on to make profitable repeat purchases. Conversely, a high ROAS does not necessarily mean a campaign is profitable or that all its attributed revenue resulted from advertising.
The right interpretation depends on the campaign objective, attribution method and economics of the business. Reports should make clear whether they show attributed revenue, media efficiency or a broader measure of financial return.
3. Evaluate Each Channel According to Its Role
Comparing channels is useful, but only when the comparison accounts for what each channel is designed to achieve. A conversion, a completed video view and an increase in brand awareness are different outcomes, so they should not all be judged by the same measure.
Paid search can capture existing demand when consumers actively look for products, gift ideas or seasonal offers. Conversion rate, CPA and attributed revenue can help advertisers assess how effectively that demand translates into purchases. Where possible, separating branded and non-branded search activity can also help distinguish existing brand interest from broader product discovery.
Paid social can support discovery, consideration and conversion, depending on the audience and campaign objective. Prospecting campaigns intended to reach new audiences should be evaluated differently from retargeting campaigns aimed at people who have already interacted with a brand.
Programmatic display and online video offer opportunities to reach audiences across websites, apps and digital environments. Reach, frequency, viewability, qualified site visits and conversions can help explain delivery and performance. For retargeting, conversion rates and frequency can help indicate whether continued exposure is useful or becoming excessive.
CTV extends campaigns into streaming environments. Reach, frequency and video completion can help assess delivery, while brand-lift studies and downstream website activity may provide further insight when suitable measurement methods are available. A purchase that follows a CTV impression, however, does not prove that the impression caused the purchase.
For agencies managing these channels together, the goal is to understand each channel’s contribution to the campaign objectives, then interpret the results alongside the wider media mix. A channel that generates fewer immediate conversions may still play a useful role in introducing products or supporting later interactions.
4. Understand What Attribution Can and Cannot Tell You
Attribution helps advertisers assign credit for conversions to advertising interactions. The model used can influence how much credit each channel receives, which affects how campaign performance is interpreted.
Consider a shopper who sees a CTV ad, visits a website through paid social, researches a product through search and eventually purchases after clicking a display retargeting ad.
Under a last-click attribution model, the display interaction may receive credit for the conversion. This can be useful for understanding which eligible interaction preceded the purchase, but it does not establish that display advertising alone generated the sale.
Last-click attribution is not inherently wrong. It can provide a practical reporting view when applied consistently and interpreted within its limitations. The problem arises when the last interaction is treated as a complete explanation of the customer’s buying journey.
Other attribution models assign credit differently. Data-driven attribution, where supported, uses a platform’s modelling approach and available interaction data to estimate how eligible advertising interactions contribute to conversions. The available models and the interactions they consider vary by platform.
Even with a more sophisticated model, attribution remains a method of assigning credit to observed conversions. It does not, by itself, establish that advertising caused an additional sale.
That is where incrementality testing differs. Holdout experiments or other controlled tests can help estimate whether advertising generated outcomes that would not otherwise have occurred, provided the campaign and available data support a reliable design.
For agencies, the practical takeaway is to be clear about what the reporting demonstrates. A channel receiving credit for a conversion is not necessarily the same as that channel causing an additional sale. Consistent tracking and transparent attribution rules provide a useful starting point, while more advanced measurement methods may be appropriate when the investment and business question justify them.
5. Build a Consistent Cross-Channel Reporting Framework
Individual advertising platforms can report their own performance accurately while still producing results that are difficult to compare. Attribution settings, conversion windows, reporting periods and measurement methods may differ across platforms.
For example, three platforms may each report a conversion from the same purchase. Adding those figures together could overstate the number of unique purchases if their reported conversions overlap.
A cross-channel reporting framework helps agencies address this by establishing common definitions and making the basis of comparison explicit. It should show how much was spent, which outcomes were recorded and how those outcomes were attributed. Depending on the campaign, it may also include reach, frequency, CPM, CPA, revenue and ROAS.
The objective is not to force every channel into one universal KPI. It is to make results comparable where appropriate and explain the differences where they are not.
Consistent campaign naming, tracking parameters, conversion definitions and reporting windows make analysis easier. Agencies should also document each platform’s attribution method and distinguish between platform-reported conversions, deduplicated business outcomes where suitable data is available, and incremental results estimated through appropriate testing.
Once the reporting framework is established, teams can look for patterns rather than simply collecting platform dashboards. A campaign might deliver strong reach but generate little qualified site activity. A retargeting segment might record high frequency without a corresponding improvement in conversions. These findings provide a basis for further investigation and more informed optimisation decisions.
6. Use Performance Insights to Optimise Campaigns While They Are Live
Measurement is most useful when it informs decisions during the campaign, not just when the final report is prepared.
Holiday campaigns operate within a limited window. Waiting until January to identify underperforming audience segments or inefficient placements leaves little opportunity to improve results during the season.
Regular performance reviews help agencies identify where adjustments may be worthwhile. If a campaign is generating qualified conversions efficiently, increasing its budget may be worth considering, provided there is sufficient audience scale and additional spend is likely to remain cost-effective. Results should be monitored after the adjustment, since existing performance does not guarantee that additional investment will deliver the same efficiency.
Audience targeting can also be refined as new performance signals emerge. Behavioural, contextual, geographic and eligible first-party data signals may help advertisers reach more relevant audiences. Frequency controls can limit unnecessary repetition, while retargeting exclusions can prevent acquisition messaging from continuing after a purchase.
Creative performance deserves similar attention. If different messages or offers are being tested, results should be evaluated against the campaign objective and the amount of data available. More impressions or clicks do not necessarily mean a creative variation is contributing to better business outcomes.
Budget decisions should be based on meaningful patterns rather than isolated fluctuations. Conversion delays, sample size, seasonality and the campaign’s role in the customer journey can all affect how quickly reliable conclusions become available.
The aim is to use live performance signals to make measured adjustments, monitor their effects and continue refining the campaign as new information emerges.
7. Turn Holiday Campaign Results Into Better Media Plans
The final campaign report should explain what happened and identify what the results can tell the team about future investment.
For ecommerce advertisers, this may involve examining repeat purchases, new-customer acquisition and post-holiday conversions. For lead-generation campaigns, the analysis may extend to lead quality and progression through the sales pipeline. Awareness campaigns may benefit from brand-lift findings or changes in qualified website traffic, where those outcomes have been measured.
The reporting period matters, too. Some holiday campaigns generate immediate purchases, while others influence consideration before a later conversion. Analysis should account for the relevant buying cycle and distinguish observed results from outcomes that have not yet materialised.
It is equally important to recognise the limits of the available data. Strong attributed revenue does not prove that all the revenue was incremental. Similarly, a campaign that generated few last-click conversions may still have contributed to earlier stages of the customer journey.
Use the findings to understand which audiences responded, which channels supported campaign objectives, where optimisation improved performance and which measurement gaps need attention. These insights can inform future decisions about channel allocation, audience strategy, creative testing and reporting requirements.
For agencies, the value of a holiday campaign review lies in turning performance data into clear recommendations for clients, rather than simply repeating the previous year’s budget split.
Common Questions About Holiday Advertising ROI
How do you measure holiday advertising ROI across channels?
Start by defining the business outcome, such as revenue, profit or qualified leads. Establish consistent conversion definitions and reporting methods, then compare channel-level performance in the context of the wider media mix. Distinguish between attributed results and incremental outcomes where the latter can be measured reliably.
What is the difference between ROI and ROAS in advertising?
ROAS compares attributed revenue with advertising spend. ROI measures financial return relative to the investment, accounting for the relevant costs and returns included in the calculation. ROAS helps assess media efficiency, while ROI provides a broader financial perspective when the necessary data is available.
Which channels deliver the best holiday advertising ROI?
There is no universally best channel. Results depend on the audience, product, campaign objective, buying cycle, creative and measurement method. Paid search may capture existing demand, while paid social, programmatic display and CTV can support awareness, consideration or conversions. Evaluate each channel according to its intended role and the business outcomes it supports.
How can agencies compare results across advertising platforms?
Use consistent conversion definitions, reporting periods and attribution rules wherever possible. Account for overlapping conversion claims when comparing platform reports, and distinguish platform-attributed results from deduplicated business outcomes and incremental results. The right approach depends on the available data and the decisions the analysis needs to support.
How often should holiday advertising campaigns be optimised?
Review performance regularly throughout the campaign. The frequency depends on campaign scale, conversion volume and how quickly reliable data becomes available. Delivery and cost metrics can be monitored frequently, while major decisions based on conversion performance may require more time and data.
What metrics should agencies track during Black Friday and Cyber Monday campaigns?
For performance-focused campaigns, useful metrics include spend, CPM, CPC, conversion rate, CPA, attributed revenue and ROAS. Reach, frequency, viewability and engagement may also matter, depending on the campaign objective. Retailers may benefit from examining new-customer acquisition and incremental sales where these can be measured reliably.
