The past two weeks surfaced a recurring tension across paid media: reach is still expanding, but confidence in that reach is getting weaker.

Creator marketing is growing, yet its economics remain difficult to prove. Social media still commands attention, but people are posting less and participating more cautiously. Google is adding more value-based controls to automation, while ChatGPT Ads is starting to look less like an experiment and more like an early performance platform.

Here’s what changed, and what we think it means for paid media

Influencer Marketing ROI: Why Creator Economics Are Getting Harder to Defend

Influencer marketing continues to attract brand investment, but the underlying economics are becoming more difficult to evaluate. A recent piece in The Drum argues that the industry’s headline return figure, often cited as $5.78 for every $1 spent, is based on earned media value rather than direct revenue. That matters because earned media value usually relies on estimated impressions and rate-card logic, not commercial outcomes.

The article also points to deeper structural issues: a significant share of followers on average creator accounts may be fake or purchased, while more than half of creators earn under $15,000 a year. At the same time, brands are shifting more budget toward nano-creators just as users appear to be posting less publicly than they did five years ago.

Our take

Creator marketing is not collapsing, but the story around it needs to mature. The original promise was trust at scale. In practice, much of the channel now behaves more like fragmented reach with uneven measurement quality. That does not make creators irrelevant. It means brands need to stop evaluating influencer activity through inflated proxy metrics and start separating real commercial impact from visibility that only looks efficient on paper.

For performance teams, the question is no longer whether creators belong in the mix. It is whether creator investment can be tied to incremental demand, stronger conversion paths, and measurable audience movement beyond engagement screenshots.

Social Media Fatigue: Why Users Are Posting Less and What It Means for Paid Social

Incogni’s 2026 digital fatigue research shows that people are withdrawing from active social participation. In a representative survey of 1,000 US adults, 55% said they post less than they did five years ago, while 53% said they have become more selective about who can see their content. Nearly half had deleted a social or messaging app because of stress or anxiety, and 51% said maintaining an online presence feels like work.

The key shift is not mass deletion. It is quieter participation. Users may still scroll, watch, search, and consume, but they are becoming more careful about what they share and where they show up publicly.

Our take

This has direct implications for how brands interpret social signals. Likes, comments, shares, and follower counts were already imperfect indicators of attention. If users are becoming more passive and guarded, engagement becomes an even narrower view of what is actually happening.

For paid social, this makes creative quality and incrementality more important. A campaign may influence consideration without generating visible interaction. At the same time, a high-engagement post may not translate into trust or buying intent. The social feed is still powerful, but it is less useful as a simple readout of audience enthusiasm.

Google Ads Automation: New Value Controls for Retail and Performance Marketing

The latest Google Beta Cards include several updates worth watching for retail advertisers. Multiplication Value Rules for Customer Lifecycle Solutions would allow advertisers to set incremental conversion values for new, lapsed, or high-value customers as percentage multipliers rather than flat value adders. Product Value Adjustments would apply similar multiplier logic by product group, helping advertisers prioritize higher-margin categories without rebuilding campaign structures.

Google is also testing AI-powered Dashboards inside Google Ads, where advertisers can create custom reporting views through conversational prompts instead of manually building everything in Report Editor.

Our take

This is a practical but important shift. Automation has often been criticized for optimizing toward platform-visible outcomes rather than business value. These betas suggest Google is giving advertisers more ways to inject commercial logic into automated systems.

For retail clients, this matters because not every conversion is equal. A new customer is not the same as an existing one. A high-margin category is not the same as a low-margin one. A campaign that drives revenue can still be strategically weak if the system is optimizing toward the wrong type of value.

The direction is clear: performance management is moving from manual campaign control toward better business inputs. The teams that understand customer value, margin structure, and lifecycle economics will be able to guide automation more effectively than those relying on default revenue signals.

Google Ads Bidding Update: Why Target CPA and Target ROAS Need Closer Review

Google is preparing changes to target-based bid strategies from August 17, 2026. The update applies to campaigns limited by budget using Target CPA, Target ROAS, and Target CPC for Demand Gen. Google says the system will optimize more consistently toward the target advertisers set, including when budgets change.

That sounds like a stability improvement, but there is a catch. Campaigns that have historically outperformed their stated target may start moving closer to the target entered in the platform. Google gives a simple example: if a campaign’s Target CPA is set at $10 but has recently delivered a $5 CPA, it may begin trending closer to $10 unless the target is adjusted.

Our take

This is a reminder that automation only works as well as the instruction it receives. Many accounts carry legacy targets that no longer reflect actual business goals, especially after months of budget changes, seasonality, and incremental optimizations.

Before the rollout, advertisers should review campaigns that are limited by budget and outperforming their targets. Otherwise, the system may treat outdated targets as permission to spend less efficiently. The risk is not that Google changes the budget automatically. The risk is that the campaign starts behaving more literally against a target no one has updated.

ChatGPT Ads: How AI Advertising Is Becoming a Performance Marketing Channel

ChatGPT Ads is adding new tools that bring it closer to the standard feature set advertisers expect from mature platforms. Recent updates include conversion-optimized CPC campaigns, average daily budgets, automatic budget pacing, geographic exclusions, AppsFlyer and Adjust integrations, enhanced website conversion measurement, bulk API updates, and refreshed product feed ads with pricing and star ratings.

The timing matters because ChatGPT Ads is moving beyond novelty. Earlier conversations focused on whether AI-native ads would exist at all. Now the platform is building the operational infrastructure needed for real budget: bidding, measurement, pacing, exclusions, feeds, and API support.

Our take

This is the kind of update that makes an emerging channel more testable. ChatGPT Ads still lacks the depth, predictability, and reporting maturity of Google or Meta, but the direction is clear. It is becoming a platform advertisers can manage, not just an experimental placement.

For brands in considered-purchase categories, this is worth watching closely. AI environments sit earlier in the decision journey, where people compare options, narrow choices, and ask for recommendations. If ChatGPT can pair that influence layer with improving performance infrastructure, it becomes more than another paid channel. It becomes a new point of demand formation.

The opportunity is still early. But the window for learning before costs rise is likely narrower than it looks.

What These Paid Media Signals Mean for Measurement, Trust, and Automation

Across these signals, the same pattern keeps appearing: the industry is gaining more automation, more inventory, and more ways to reach people, but the quality of those signals is under pressure.

Creator reach may be inflated. Social engagement may understate real attention. Automated bidding depends heavily on the targets and value inputs advertisers provide. AI-native ads are becoming more scalable, but measurement is still catching up.

That does not mean performance marketing is becoming less measurable. It means the old signals are no longer enough on their own.

The next advantage will come from knowing which signals to trust, which ones to challenge, and how to feed platforms with better commercial context before they optimize on your behalf.

Key Takeaways

· Paid media reach is expanding, but the quality and reliability of that reach are becoming harder to prove.  

· Influencer marketing needs stronger measurement beyond earned media value, impressions, and engagement screenshots.  

· Social media fatigue is changing how users behave online, making visible engagement a less reliable signal of real attention or intent.  

· Google’s latest automation updates show that business inputs like customer value, margin, and lifecycle stage are becoming more important for campaign performance.

· Target-based bidding will put more pressure on advertisers to keep CPA, ROAS, and CPC targets accurate and aligned with current business goals.  

· ChatGPT Ads is moving from an experimental AI placement toward a more structured performance marketing channel.  

· The next advantage in paid media will come from knowing which signals to trust, which ones to question, and how to give platforms better commercial context.

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Unsure how these updates could impact your campaigns? Reach out to us.

Relevant Insights

· Article: AI Ad Spending Will Double and More by 2030. What It Means for Search and Chatbot Advertising

· Article: Market Signals #5: How AI and Fragmented Attention Are Reshaping Brand Discovery  

· Article: Market Signals #4: AI Moves Deeper Into Advertising Infrastructure

About Crealytics

Crealytics is an award-winning full-funnel digital marketing agency fueling the profitable growth of over 100 well-known B2C and B2B businesses, including ASOS, The Hut Group, Staples and Urban Outfitters. A global company with an inclusive team of 100+ international employees, we operate from our hubs in Berlin, New York, Chicago, London, and Mumbai.

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