Contra-Seasonal Advertising
Shift spend into competitors' quiet months to capture lower-cost attention.
- Difficulty
- Moderate
- Time to result
- ~months to results
- Steps
- 6
- Confidence
- 97%
Contra-seasonal advertising treats competitors' media calendars as an input to budget allocation. First identify the market's largest advertisers and estimate their monthly activity over a meaningful period. Aggregate the data to reveal months when category spending is above or below average, then investigate why individual brands create those patterns, such as tax season or market volatility. Instead of automatically matching the industry's peak periods, test moving incremental budget into trough months, when reduced competition may lower acquisition costs and improve reach. During expensive peaks, protect only essential demand and reduce inefficient spending. The strategy is dynamic: if competitors notice and enter the same quiet windows, reassess the auction and rotate toward newly underpriced periods.
Origin
Extracted from Marketing Against The Grain, where the hosts analyze spending seasonality across ten fintech advertisers to identify more economical campaign windows.
Core principles
- 01Competitor spending raises acquisition costs in shared advertising auctions.
- 02Industry spending patterns contain recurring peaks and troughs.
- 03Quiet periods can offer better marginal returns than conventional peak periods.
- 04Seasonality should be studied across multiple major spenders.
- 05The best window changes as competitors respond to market incentives.
How to run it
- 1
Map the competitive set
Identify the largest advertisers competing for the same audience and inventory. Include enough companies to represent category-level demand.
Pro tip Start with the ten most active spenders when reliable data is available.
Watch out A small or biased sample can mistake one company's campaign for an industry pattern.
- 2
Estimate monthly activity
Collect or model each competitor's paid-media activity by month. Normalize the figures so companies can be compared consistently.
Pro tip Use at least one full annual cycle to expose recurring seasonality.
Watch out Short windows can confuse temporary campaigns with seasonal behavior.
- 3
Find peaks and troughs
Calculate average category spending for every month and classify periods as above or below average. Note which companies contribute most to each movement.
Pro tip Visualize the result as a monthly heatmap or above-versus-below-average chart.
Watch out Aggregate averages can hide sharp differences between channels.
- 4
Explain the pattern
Connect seasonal changes to industry events, reporting cycles, customer demand, or company-specific triggers. Separate predictable causes from volatile ones.
Pro tip Distinguish consistent spenders from event-driven advertisers.
Watch out Do not assume low competitor spend automatically means strong customer demand.
- 5
Reallocate experimentally
Reduce discretionary spending in the most expensive peak periods and test incremental budget in trough months. Measure acquisition cost, conversion rate, and total qualified volume.
Pro tip Run controlled channel-level tests before moving the entire budget.
Watch out Lower auction costs do not compensate for traffic that cannot convert.
- 6
Monitor and rotate
Track whether competitors begin spending more in the previously quiet windows. Recalculate the seasonal advantage and move toward the next underpriced period when necessary.
Pro tip Refresh the analysis before each major planning cycle.
Watch out A successful arbitrage window may disappear once competitors copy it.
In the wild
The hosts examined ten major fintech advertisers to identify their highest- and lowest-spending months. The analysis attributed Intuit's bursts to tax season, described PayPal and Stripe as consistent spenders, and connected Coinbase activity to market volatility. It then highlighted below-average months as possible counter-cycle windows while recommending reduced budget exposure during expensive peaks.
→ The analysis produced a seasonal media calendar designed to seek better ROI when category competition was lower.
Common mistakes
Confusing low spend with high opportunity
Competitors may spend less because customer demand is weak, so validate conversion potential before reallocating substantial budget.
Ignoring company-specific seasonality
A category peak may be driven by one advertiser's unique calendar rather than a market-wide increase in competition.
Assuming the window stays open
Competitors can respond to attractive quiet periods, eliminating the original cost advantage.
Is it for you?
Best for
It is best for advertisers in auction-based channels where several large competitors create visible seasonal cost pressure.
Not ideal for
It is not ideal when customer demand disappears during quiet months or when competitor spending lacks a stable seasonal pattern.
From the transcript
“I'm trying to look for the peak months of spend and the trough months of spend because during the trough months of spend, I can…”
“counter-cycle windows offer a better ROI when those brands spend less.”
“So, basically what you want to do is go contra-seasonal, spend in the below-average month to get leverage.”
From the episode
This AI Tool Works Like a $300,000 McKinsey Consultant