How Marketers Can Adapt in a Volatile Economic Climate
YJ Kim
May 12, 2025
12
minutes read
Economic resilience often requires a dose of “tough love”, making difficult decisions now to ensure long-term success. As recent policy shifts and trade tensions usher in a new era of economic uncertainty, the implications for marketing are clear: navigating this landscape requires both caution and strategic vision.
As news of the sweeping tariffs rippled through boardrooms, marketing departments faced immediate pressure to slash budgets and retreat to safety. Yet history tells a different story about what actually works during economic turbulence. Research consistently shows that brands maintaining visibility during downturns emerge stronger in recovery phases, with one McGraw-Hill study finding that businesses that maintained advertising during the 1981 recession saw 256% higher sales by 1985 than those that cut back.
In this article, we'll explore how forward-thinking marketers can apply their own version of "tough love", balancing fiscal responsibility with strategic investment through agile forecasting, intelligent targeting, and full-funnel accountability to transform today's challenges into tomorrow's competitive advantages.
Economic headwinds are redefining the marketing playbook
Following recent tariff policy reversals and rising geopolitical tensions, brands are once again recalibrating their strategies, this time with flashbacks to early COVID-era disruptions. Increased costs on imported goods and lingering supply chain volatility are putting pressure on margins. As performance softens and ROI expectations heighten, advertisers are finding themselves stuck between tightening budgets and the pressure to deliver results that tie directly to revenue.
This economic uncertainty is already having measurable impacts across the advertising ecosystem. According to the Interactive Advertising Bureau's March 2025 survey, an overwhelming 94% of US advertisers express concern about tariff impacts, with 45% planning budget reductions as a direct result. These cuts won't be modest, over 60% of advertisers anticipate budget declines of 6-10%, while 22% are preparing for even steeper reductions of up to 20%.
Pic. 1. US digital ad spend, 2023-2029. Source: eMarketer.
The current market projections reflect this growing caution, eMarketer's latest forecast revises 2025 US ad spending growth down to 6.3% from 7.5% (including a significant $10 billion cut in US social media spend). This softening outlook echoes senior analyst Andrew Spink's concern about the $9 trillion in US debt requiring refinancing within six months, a macroeconomic challenge that could either burden taxpayers or push the economy toward recession to lower interest rates.
For marketers, these conditions create a complex strategic landscape reminiscent of previous economic disruptions, but with unique characteristics. As Chelsea Strategies CEO Greg MacDonald notes, the current environment has brands scrutinizing platform fees and working media more closely, exploring direct-to-publisher alternatives to demand-side platforms, and focusing resources on fewer, higher-impact initiatives.
History has shown that strategic investment during downturns pays off
Brands that maintain or increase media investment during economic downturns consistently outperform those that pull back. According to Analytic Partners, brands that increased advertising spend during past recessions saw an average 17% higher ROI. During the COVID-19 pandemic, Kantar found that brands going dark for just six months risked losing up to 39% of brand awareness, with 60% experiencing declines across critical brand health metrics. These findings underscore a fundamental truth: in times of uncertainty, agility and strategic investment don't just sustain performance; they build long-term competitive advantage.
📉 17% higher ROI: Brands that increased advertising spend during past recessions saw an average 17% higher ROI. (Analytic Partners)
📊 39% loss in brand awareness: Brands going dark for just six months risked losing up to 39% of brand awareness. (Kantar)
📋60% decline in brand health metrics: 60% of brands experienced declines across critical brand health metrics after going dark. (Kantar)
During the Great Depression, Post significantly reduced advertising while Kellogg's doubled its ad spend and introduced Rice Krispies, resulting in a 30% profit increase for Kellogg's and decades of category dominance.
Similarly, Toyota increased advertising during the 1973 recession while competitors retreated, becoming the top imported car manufacturer in the US by 1976.
In the 1991 recession, McDonald's reduced its advertising budget while Pizza Hut and Taco Bell capitalized on the opportunity, resulting in sales growth of 61% and 40% respectively, while McDonald's experienced a 28% decline.
Research from Peter Field and the B2B Institute provides further evidence, demonstrating that brands investing in advertising during downturns experience five times more significant business effects (including profit, pricing, and market share) and 4.5 times greater annual market share growth compared to those cutting back. These advantages compound over time, as maintaining brand visibility creates momentum that's difficult and expensive for competitors to overcome during recovery phases.
While the current economic situation presents unique challenges, marketers would be wise to consider Wal-Mart founder Sam Walton's famous approach to recessionary periods: "I thought about it and decided not to participate." This stance doesn't advise against strategic adjustment, but rather argues for thoughtful evolution rather than wholesale retreat.
A May 2008 Millward Brown paper titled "Marketing During Recession: Survival Tactics" revealed that creative quality has five times more impact on profit than budget allocation during downturns. This suggests that maintaining presence while ensuring high-quality, contextually appropriate creative offers the optimal balance between fiscal responsibility and market opportunity during volatile periods.
For today's marketers navigating 2025's uncertain terrain, these historical lessons provide a compelling framework: those who maintain strategic visibility while competitors retreat position themselves for disproportionate gains when economic conditions improve.
What This Means
The current economic landscape is reshaping marketing fundamentals in three critical dimensions. As brands process these shifts, they must develop new frameworks for investment decisioning, channel selection, and performance evaluation that reflect today's unique challenges. The most successful organizations will recognize that while tactical approaches may need adjustment, the strategic imperative to maintain market presence remains as powerful as ever.
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ROAS volatility and heightened scrutiny
As discretionary spending declines in sectors like hospitality and luxury goods, marketers are seeing softer returns across display, video, and CTV. Leadership is shifting focus from soft KPIs to measurable revenue impact, raising the stakes for every media dollar spent.
This shift reflects broader economic anxieties. According to Kantar's extensive survey of 25,000 consumers across 30 countries, 70% report that their household income has been affected or will be affected by the current crisis. This financial pressure directly impacts advertising performance, particularly in categories dependent on discretionary spending. Madison and Wall's forecast indicates that while digital advertising continues to gain market share despite economic concerns, the performance metrics within digital channels are showing increasing volatility.
The consequences are apparent in boardroom conversations. Marketing executives report intensified pressure to justify spending in terms of direct revenue contribution rather than traditional brand metrics. This scrutiny is particularly acute in the hardest-hit sectors identified by IAB research: retail/ecommerce, consumer electronics, media & entertainment, and automotive.
Demand for agility in media planning
Static media plans no longer hold. Advertisers must be prepared to plan around multiple economic scenarios, rapidly reallocate budgets, and optimize in real time as market conditions and consumer behavior shift.
The predictable quarterly cadence of media planning has given way to a more responsive approach. With IAB data showing that 34% of advertisers expect budget pullbacks in Q2 and 37% in Q3, media teams are developing modular plans that can quickly adapt to changing conditions. This agility becomes essential with tariff negotiations creating ongoing market instability and Wall Street increasingly pricing in a recession for 2025.
Media consumption patterns continue to evolve rapidly. As observed during previous economic disruptions, web browsing increased by 70%, traditional TV viewing by 63%, and social media engagement by 61% compared to pre-crisis levels. This creates both challenges and opportunities for marketers seeking to maintain reach while optimizing efficiency. According to IAB data, advertisers are responding with increased mobile device targeting (34%) and greater investment in CTV/OTT channels (35%), where audiences remain engaged despite economic headwinds.
Scott Shamberg, president/CEO of independent media agency Mile Marker, advises: "Our guidance has been, let's not do anything foolish. Let's see once we get into the second quarter where interest rates are, where the leading economic indicators are, and then revisit, because most of our clients have plans in place for the year." This measured approach emphasizes flexibility without overcorrection.
Blurring lines between brand and performance
With long-term brand equity and short-term conversion both top priorities, marketers are tasked with creating full-funnel strategies that engage consumers emotionally while driving immediate results.
The traditional division between brand-building activities and performance marketing is dissolving in response to current pressures. Marketers must simultaneously protect brand perception while demonstrating immediate return, a balancing act that requires integrating traditionally separate approaches. This convergence is reflected in how content creators are responding to anticipated spending patterns; creators are adjusting their monetization strategies to rely less on individual fan revenue and more on brand partnerships they perceive as more recession-resistant.
The shift in consumer expectations also drives this integration. Kantar's research found that 77% of consumers want brands to demonstrate how they're helpful in everyday life, 75% want to hear about brands' efforts to address current challenges, and 70% desire reassuring messaging. These findings suggest that purely promotional or transaction-focused approaches may miss the mark in the current environment.
This dual mandate requires marketers to develop creative approaches that can simultaneously build emotional connections while providing clear pathways to conversion. As Ogilvy North America head of influencer marketing Ansley Williams observed, "In challenging times, people lean on each other as communities, we turn to each other for shared experiences and learnings, and to platforms for education and insight on the latest of what's happening." Brands that can authentically engage within these community contexts while maintaining performance discipline are positioning themselves for both immediate results and sustained advantage.
Key solutions for marketers in a volatile economy
In this volatile economic climate, advertisers need solutions that combine agility with intelligence. Forward-thinking organizations are embracing several key strategies to not just weather economic uncertainty, but potentially capitalize on it.
Pic. 3. Current AI adoption rates in media planning & buying, suggesting agencies should prioritize implementation of AI solutions to maintain competitive advantage.
Forecasting agility with vertical-specific precision
Sophisticated forecasting systems now harness extensive historical data from past economic disruptions to simulate performance across various budget scenarios and media channels. These advanced platforms incorporate sector-specific insights for industries ranging from consumer electronics to CPG to luxury goods, allowing marketers to rapidly adjust strategies as market conditions evolve.
Breaking away from conventional methods that rely on generalized industry averages, cutting-edge predictive analytics incorporate performance data from thousands of campaigns executed during previous economic downturns. This nuanced approach enables customized projections tailored to sector-specific challenges. Consumer electronics brands facing tariff pressures can model audience sensitivity thresholds, while luxury retailers navigating discretionary spending declines can identify resilient high-value customer segments.
Leading systems now feature "cascade planning" functionality, automatically triggering pre-configured contingency plans when economic indicators cross predetermined thresholds. This innovation shrinks optimization response time from weeks to minutes, a crucial advantage when consumer sentiment can transform rapidly with breaking economic news.
Smart targeting amid shifting consumer behavior
Successful targeting in uncertain times requires a hybrid approach combining algorithmic intelligence with human strategic judgment to navigate fluctuating performance trends. These integrated systems pinpoint high-intent consumers while ensuring messaging aligns naturally with audience context and mindset.
Supply path optimization has emerged as a crucial efficiency tool during economic uncertainty. By analyzing billions of bid requests to identify optimal paths to premium inventory, marketers can eliminate wasteful spending, particularly valuable for sectors facing margin pressure.
As privacy changes continue eroding third-party tracking capabilities, contextual intelligence has become increasingly vital. Through semantic analysis of content and sentiment indicators, brands can craft messages that resonate with consumers' immediate environment and mindset—particularly important during downturns when audience receptivity becomes more selective.
Industry expert Ravit Ross captured this shift well: "You don't want to just 'hope' your message lands, you want to know it does," highlighting precision's growing importance in uncertain times.
Full-funnel accountability
Comprehensive analytics frameworks now bridge upper-funnel activities with concrete business outcomes through advanced attribution models and controlled experiments. Through brand lift research, teams can monitor shifts in sentiment and purchase intent, enabling personalized messaging that adapts to evolving consumer priorities.
This integrated approach tackles one of marketing's most persistent challenges during economic turbulence: finding the optimal balance between immediate conversion and long-term brand development. Contemporary data platforms now enable teams to explore campaign performance through conversational interfaces, delivering instant insights into the relationship between brand metrics and conversion outcomes.
The most insightful measurement systems incorporate experimental design methodologies to determine true incremental impact of advertising investments, moving beyond the limitations of traditional correlation-based attribution.
Open Garden reach and flexibility
Through Open Garden approach, advertisers gain the advantage of flexibility to optimize towards outcomes across channels and platforms. This strategy reduces media fragmentation by unifying cross-environment planning and execution, enabling marketers to reach audiences seamlessly across inventory sources, formats, and devices while maintaining full control over performance and delivery.
The Open Garden framework directly counters the limitations of walled garden platforms like Google, Meta, and Amazon that restrict data access and force advertisers to use proprietary ad tech. While these platforms often prioritize their owned inventory (for example, Google favoring YouTube), DSP-agnostic execution ensures ads are placed based on performance, not platform preference. This neutral approach provides advertisers with complete transparency into where their budgets are allocated and how campaigns are performing across the digital ecosystem.
This flexibility becomes particularly valuable during economic volatility, when rapid budget reallocation may be necessary. Rather than being locked into platform-specific commitments, Open Garden enables seamless shifts between channels and tactics as performance data indicates changing consumer behavior.
At AI Digital, we've built our solutions around these core principles, offering marketers the tools they need to navigate economic uncertainty with confidence and precision:
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Conclusion & the new marketing mandate: Act fast, forecast often, and focus on performance
What's clear is that businesses can no longer rely on static strategies, outdated media plans, or a "set-it-and-forget-it" approach to advertising. The successful marketers of tomorrow will be those who balance fiscal responsibility with market presence by embracing three key strategies:
Agile forecasting and planning that can rapidly adapt to economic shifts across verticals and channels
Intelligent targeting systems that blend AI-powered analysis with human strategic oversight
Full-funnel accountability that connects brand-building activities to measurable business outcomes
The new mandate for marketers requires a strategic application of "tough love" for your marketing approach: cutting what doesn't work while doubling down on what does.
The brands that will gain the most ground aren't waiting for economic clarity, they're acting now to refine their approach, optimize their spending, and maintain connections with their audiences.
As your team navigates these uncertain waters, consider how AI-powered solutions might be the compass that guides your strategy through the storm toward sustained growth in the quarters ahead.
Let’s keep the conversation going, feel free to reach out:
• Platforms own AI models and train on proprietary data • Brands have little visibility into decision-making • "Walled gardens" restrict data access
• Inefficient ad spend • Limited strategic control • Eroded consumer trust • Potential budget mismanagement
Open Garden framework providing: • Complete transparency • DSP-agnostic execution • Cross-platform data & insights
Optimizing ads vs. optimizing impact
• AI excels at short-term metrics but may struggle with brand building • Consumers can detect AI-generated content • Efficiency might come at cost of authenticity
• Short-term gains at expense of brand health • Potential loss of authentic connection • Reduced effectiveness in storytelling
Smart Supply offering: • Human oversight of AI recommendations • Custom KPI alignment beyond clicks • Brand-safe inventory verification
The illusion of personalization
• Segment optimization rebranded as personalization • First-party data infrastructure challenges • Personalization vs. surveillance concerns
• Potential mismatch between promise and reality • Privacy concerns affecting consumer trust • Cost barriers for smaller businesses
Elevate platform features: • Real-time AI + human intelligence • First-party data activation • Ethical personalization strategies
AI-Driven efficiency vs. decision-making
• AI shifting from tool to decision-maker • Black box optimization like Google Performance Max • Human oversight limitations
• Strategic control loss • Difficulty questioning AI outputs • Inability to measure granular impact • Potential brand damage from mistakes
Managed Service with: • Human strategists overseeing AI • Custom KPI optimization • Complete campaign transparency
Fig. 1. Summary of AI blind spots in advertising
Dimension
Walled garden advantage
Walled garden limitation
Strategic impact
Audience access
Massive, engaged user bases
Limited visibility beyond platform
Reach without understanding
Data control
Sophisticated targeting tools
Data remains siloed within platform
Fragmented customer view
Measurement
Detailed in-platform metrics
Inconsistent cross-platform standards
Difficult performance comparison
Intelligence
Platform-specific insights
Limited data portability
Restricted strategic learning
Optimization
Powerful automated tools
Black-box algorithms
Reduced marketer control
Fig. 2. Strategic trade-offs in walled garden advertising.
Core issue
Platform priority
Walled garden limitation
Real-world example
Attribution opacity
Claiming maximum credit for conversions
Limited visibility into true conversion paths
Meta and TikTok's conflicting attribution models after iOS privacy updates
Data restrictions
Maintaining proprietary data control
Inability to combine platform data with other sources
Amazon DSP's limitations on detailed performance data exports
Cross-channel blindspots
Keeping advertisers within ecosystem
Fragmented view of customer journey
YouTube/DV360 campaigns lacking integration with non-Google platforms
Black box algorithms
Optimizing for platform revenue
Reduced control over campaign execution
Self-serve platforms using opaque ML models with little advertiser input
Performance reporting
Presenting platform in best light
Discrepancies between platform-reported and independently measured results
Consistently higher performance metrics in platform reports vs. third-party measurement
Fig. 1. The Walled garden misalignment: Platform interests vs. advertiser needs.
Key dimension
Challenge
Strategic imperative
ROAS volatility
Softer returns across digital channels
Shift from soft KPIs to measurable revenue impact
Media planning
Static plans no longer effective
Develop agile, modular approaches adaptable to changing conditions
Brand/performance
Traditional division dissolving
Create full-funnel strategies balancing long-term equity with short-term conversion
Capability
Key features
Benefits
Performance data
Elevate forecasting tool
• Vertical-specific insights • Historical data from past economic turbulence • "Cascade planning" functionality • Real-time adaptation
• Provides agility to adjust campaign strategy based on performance • Shows which media channels work best to drive efficient and effective performance • Confident budget reallocation • Reduces reaction time to market shifts
• Dataset from 10,000+ campaigns • Cuts response time from weeks to minutes
• Reaches people most likely to buy • Avoids wasted impressions and budgets on poor-performing placements • Context-aligned messaging
• 25+ billion bid requests analyzed daily • 18% improvement in working media efficiency • 26% increase in engagement during recessions
Full-funnel accountability
• Links awareness campaigns to lower funnel outcomes • Tests if ads actually drive new business • Measures brand perception changes • "Ask Elevate" AI Chat Assistant
• Upper-funnel to outcome connection • Sentiment shift tracking • Personalized messaging • Helps balance immediate sales vs. long-term brand building
• Natural language data queries • True business impact measurement
Open Garden approach
• Cross-platform and channel planning • Not locked into specific platforms • Unified cross-platform reach • Shows exactly where money is spent
• Reduces complexity across channels • Performance-based ad placement • Rapid budget reallocation • Eliminates platform-specific commitments and provides platform-based optimization and agility
• Coverage across all inventory sources • Provides full visibility into spending • Avoids the inability to pivot across platform as you’re not in a singular platform
Fig. 1. How AI Digital helps during economic uncertainty.
Trend
What it means for marketers
Supply & demand lines are blurring
Platforms from Google (P-Max) to Microsoft are merging optimization and inventory in one opaque box. Expect more bundled “best available” media where the algorithm, not the trader, decides channel and publisher mix.
Walled gardens get taller
Microsoft’s O&O set now spans Bing, Xbox, Outlook, Edge and LinkedIn, which just launched revenue-sharing video programs to lure creators and ad dollars. (Business Insider)
Retail & commerce media shape strategy
Microsoft’s Curate lets retailers and data owners package first-party segments, an echo of Amazon’s and Walmart’s approaches. Agencies must master seller-defined audiences as well as buyer-side tactics.
AI oversight becomes critical
Closed AI bidding means fewer levers for traders. Independent verification, incrementality testing and commercial guardrails rise in importance.
Fig. 1. Platform trends and their implications.
Metric
Connected TV (CTV)
Linear TV
Video Completion Rate
94.5%
70%
Purchase Rate After Ad
23%
12%
Ad Attention Rate
57% (prefer CTV ads)
54.5%
Viewer Reach (U.S.)
85% of households
228 million viewers
Retail Media Trends 2025
Access Complete consumer behaviour analyses and competitor benchmarks.
Identify and categorize audience groups based on behaviors, preferences, and characteristics
Michaels Stores: Implemented a genAI platform that increased email personalization from 20% to 95%, leading to a 41% boost in SMS click through rates and a 25% increase in engagement.
Estée Lauder: Partnered with Google Cloud to leverage genAI technologies for real-time consumer feedback monitoring and analyzing consumer sentiment across various channels.
High
Medium
Automated ad campaigns
Automate ad creation, placement, and optimization across various platforms
Showmax: Partnered with AI firms toautomate ad creation and testing, reducing production time by 70% while streamlining their quality assurance process.
Headway: Employed AI tools for ad creation and optimization, boosting performance by 40% and reaching 3.3 billion impressions while incorporating AI-generated content in 20% of their paid campaigns.
High
High
Brand sentiment tracking
Monitor and analyze public opinion about a brand across multiple channels in real time
L’Oréal: Analyzed millions of online comments, images, and videos to identify potential product innovation opportunities, effectively tracking brand sentiment and consumer trends.
Kellogg Company: Used AI to scan trending recipes featuring cereal, leveraging this data to launch targeted social campaigns that capitalize on positive brand sentiment and culinary trends.
High
Low
Campaign strategy optimization
Analyze data to predict optimal campaign approaches, channels, and timing
DoorDash: Leveraged Google’s AI-powered Demand Gen tool, which boosted its conversion rate by 15 times and improved cost per action efficiency by 50% compared with previous campaigns.
Kitsch: Employed Meta’s Advantage+ shopping campaigns with AI-powered tools to optimize campaigns, identifying and delivering top-performing ads to high-value consumers.
High
High
Content strategy
Generate content ideas, predict performance, and optimize distribution strategies
JPMorgan Chase: Collaborated with Persado to develop LLMs for marketing copy, achieving up to 450% higher clickthrough rates compared with human-written ads in pilot tests.
Hotel Chocolat: Employed genAI for concept development and production of its Velvetiser TV ad, which earned the highest-ever System1 score for adomestic appliance commercial.
High
High
Personalization strategy development
Create tailored messaging and experiences for consumers at scale
Stitch Fix: Uses genAI to help stylists interpret customer feedback and provide product recommendations, effectively personalizing shopping experiences.
Instacart: Uses genAI to offer customers personalized recipes, mealplanning ideas, and shopping lists based on individual preferences and habits.
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