Media buying today isn’t what it was even a few years ago. Back then, a skilled human buyer with solid instincts could make great decisions using spreadsheets, manual bidding and gut feel. Fast-forward to 2025, and we are living in a world where artificial intelligence is automating everything from campaign targeting to real time bidding.
So the question on everyone’s mind is which approach actually performs better ROAS in 2025: AI or human media buying? Let’s discuss.
What Is Media Buying?
Media purchasing is the act of buying ad space on the websites that your users go to- Google, Facebook, Instagram, YouTube, etc. It’s choosing the right medium, getting to the right people, getting budgets set up, and tracking performance.
Old-school media buying means someone has to do a lot of heavy lifting- searching, thinking, and deciding. AI media buying involves algorithms and machine learning to do a lot of that work for you.
The two approaches have the same final goal: get your ad in front of the right person at the right moment, without wasting money.
The Case for Manual Media Buying
Let’s start with what humans bring to the table.
- Deeper Brand Understanding
Regardless of how intelligent AI becomes, it does not really know your brand’s voice, objectives or people on an emotional level. A human media buyer has the ability to customize campaigns in a manner that suits long-term brand vision, tone and narrative. They are able to think creatively, not rationally.
- More Control
The buyer has complete control over campaign parameters like budget distribution, bidding method, timing and targeting. In case of a niche campaign or highly customized campaign, human management will ensure that wasteful spending is avoided and you can make subtle adjustments to strategy along the way.
- Creative Flexibility
Let’s say you’re running campaigns for mobile app optimization. A manual buyer can pair performance data with creative insights and come up with new angles to test. Maybe they notice a specific audience responds better to a particular in-app feature being highlighted. That kind of strategic thinking is still hard to automate.
The Problem With Manual Media Buying
Manual buying doesn’t scale well. The more campaigns you run the harder it gets to manage them all effectively.
Plus, human error is real. Forgetting to pause a low performing ad, misreading performance data or reacting too slowly to shifts in user behavior can quickly eat into your ROAS. In fast-moving environments like mobile app optimization every delay or mistake costs money.
What AI Brings to the Table
AI isn’t just a trend. It’s actually really good at some of the things manual buyers struggle with.
1. Speed and Scale
AI can analyze thousands of data sets in seconds. It checks what’s working across channels, devices and audiences. Therefore, it adjusts bids or creatives in real-time. You simply can’t beat that kind of efficiency manually.
For example, let’s say your mobile app optimization campaign is underperforming in one region but exploding in another. An AI system can detect that shift instantly and reallocate spend accordingly, something a human might not catch until hours (or days) later.
2. Better Targeting
AI doesn’t guess. It uses behavioral data, search history, purchase intent and location data to serve ads to people. This is especially useful for mobile app optimization, where user acquisition and engagement patterns vary wildly by segment.
3. Real-Time Optimization
The best part? AI doesn’t sleep. It’s optimizing around the clock. If a campaign starts at midnight, AI can pull back, spend or swap in better creatives while you’re still asleep. This kind of responsiveness often results in better ROAS—especially for high-volume campaigns.
But AI Isn’t Perfect
That being said, AI doesn’t get context like humans do. It can read data incorrectly, over-optimize, or overlook innovative potential. Suppose your ad contains a cultural reference, and AI gets the sentiment wrong—it could lead to a PR nightmare or poor performance.
Also, although AI is fantastic at execution, it’s not always fantastic at strategy. It can try variations, but it will never devise a whole new messaging direction that resonates with your niche audience.
And let’s not forget the price tag. Advanced AI tools and platforms can be pricey quickly, particularly for startups or smaller campaigns.
So, What Brings Better ROAS in 2025?
Here’s the truth: no AI and no human media buying wins every time. It just depends on your goals, budget, and how complex your campaigns are.
Strictly speaking of ROAS in 2025, though, AI wins especially in areas where scale, velocity, and data accuracy are critical. And that includes mobile app optimization.
AI platforms are able to learn user segments faster, test creatives at scale, auto-optimize bids on the basis of performance and do it all with less overhead. For instance, a mobile app might use AI to run hundreds of iterations of an ad. To find the optimal combination of headline, call-to-action and time-of-day performance, all without a human lifting a finger.
Hence, manual media buying is still a core component of creative strategy, niche targeting and brand storytelling. Top performing campaigns balance the best of both worlds. AI does the heavy data lifting and humans focus on the big picture.
The Hybrid Approach- A Practical Solution
This is where the fun happens. Increasing numbers of brands are taking a hybrid approach enabling AI to focus on its strengths (analyze, automate, optimize), while human teams take care of strategy, messaging and creative testing.
5 Things to Consider When Choosing Between AI and Manual
- Budget: AI tools cost money, but may lower your CPA (cost per acquisition) over time.
- Campaign Complexity: If your campaign involves multiple platforms, audiences and KPIs, AI can simplify it.
- Creative Needs: Need custom storytelling? Manual oversight still matters.
- Team Size: Smaller teams benefit from automation, freeing up time for strategy.
- Speed of Execution: Real-time optimization is where AI shines especially in mobile app optimization campaigns where performance changes by the hour.
Conclusion
In 2025, chasing better ROAS isn’t about picking sides; it’s about building the right system.
AI delivers speed, precision, and scalability. Humans contribute delicacy, originality, and brand consistency.
The best course of action is to embrace a combination of both if performance is important to you, particularly when it comes to mobile app optimization. You will save time, improve targeting and likely stretch your budget further.
Need help putting that balance into action? Well, AdSpin combines intelligent automation with expert strategy to help you hit your ROAS goals without losing sight of your brand voice. Because in the end, the goal isn’t just better ads. It’s better results.
