Everyone is talking about AI in marketing right now. New tools launch every week. LinkedIn is full of people claiming AI has changed everything. And somewhere in the middle of all that noise, actual marketers are trying to figure out what is genuinely useful and what is just hype.
I have been testing AI tools across my campaigns for the past couple of years. Some have genuinely changed how I work. Others turned out to be overhyped features wrapped in a nice interface. In this post I will tell you what I have actually found useful — and what you can probably ignore for now.
Where AI Is Genuinely Making a Difference
1. Smart Bidding on Google Ads
This is probably the most impactful AI application in performance marketing today — and it has been around longer than most people realise. Google’s Smart Bidding uses machine learning to adjust your bids in real time based on hundreds of signals: device, location, time of day, search history, audience behaviour, and more.
A human cannot do this manually. Even the best campaign manager cannot process that many variables simultaneously for every single auction. Smart Bidding can — and in most cases, it outperforms manual bidding once it has enough conversion data to learn from.
The key word is ‘enough data’. Smart Bidding needs at least 30 to 50 conversions per month in a campaign to work well. If your volume is lower than that, it can actually underperform.
2. Meta’s Advantage+ Campaigns
Meta has built AI deeply into its advertising system with Advantage+ campaigns. Instead of you manually selecting audiences, placements, and creative combinations, Meta’s AI tests different combinations and allocates budget to what is working.
For the right type of campaign — particularly e-commerce and app install — this works extremely well. For more niche B2B or local service businesses, it can sometimes be too broad. The solution is to layer in some manual signals and audience constraints while still letting the AI optimise within those boundaries.
3. AI for Ad Creative and Copywriting
This is where I see the most practical day-to-day value. AI tools like Claude, ChatGPT, and Jasper can produce ad copy variations, email subject lines, landing page headlines, and social captions quickly. This accelerates creative testing significantly.
Instead of testing two or three variations of an ad, you can test ten. More testing means faster learning. Faster learning means better performance over time.
The important thing to understand: AI generates the options, but a human needs to review, edit, and apply judgment. AI does not understand your brand, your audience’s specific cultural context in the UAE, or the nuances of your market. Use it as a drafting tool, not a replacement for thinking.
4. Predictive Audience Targeting
Tools like CustomerLabs and Segment can analyse your existing customer data and build predictive audiences — groups of people who look like your best customers and are statistically more likely to convert. These can then be pushed into Meta and Google as custom audience targets.
In the UAE, where advertising costs are high, finding the right audience before spending money (rather than through expensive trial and error) is extremely valuable.
What Is Mostly Hype Right Now
Fully Automated Campaigns With No Human Oversight
Some tools claim you can run AI-managed campaigns with minimal human input. In my experience, this is not yet ready for complex campaigns. AI optimises within the parameters it is given — but it cannot set strategy, understand business context, or make judgment calls about brand positioning. You still need a human in the loop.
AI-Generated Video Ads at Scale
The quality of AI-generated video has improved dramatically, but for most professional services and healthcare businesses in the UAE, it is not yet at a standard that builds trust with a local audience. People here expect a certain level of polish and cultural authenticity. AI video tools are useful for internal content or early-stage testing, but not yet for your main brand campaigns.
| Key Takeaway: AI works best in performance marketing when it handles the repetitive, data-heavy optimisation tasks — bidding, audience matching, creative variation testing. Human marketers are still essential for strategy, brand judgment, and cultural context. |
Practical AI Tools Worth Using Right Now
- Google Smart Bidding — for campaign bid optimisation once you have sufficient conversion data
- Meta Advantage+ — for testing creative combinations at scale, especially for e-commerce
- Claude or ChatGPT — for generating ad copy variations, email drafts, and blog outlines
- CustomerLabs — for building predictive audiences and server-side tracking
- Canva AI or Adobe Firefly — for quick creative asset generation and resizing