AI-assisted marketing and ad performance reporting, pattern detection, summaries, and analysis

Meta announced on August 19, 2026 that Meta AI — on web, mobile, and a new Mac desktop app — can connect to a business’s Facebook and Instagram accounts, its Meta ad campaigns, and Google Workspace. It analyses performance and drafts recommendations. It does not execute changes, and it is not Advantage+.

I use AI almost every day. And there are still things I refuse to let it do.

Everyone wants to tell you AI is either going to save marketing or ruin it. And honestly, I think both takes are a little lazy.

I’ve tested a lot of AI tools for marketing, and over time, I’ve figured out what actually helps me and what I’d rather just do myself.

Here’s where I’ve landed.

What earned a permanent spot:

1. Research and first drafts.

When I have a pile of information to go through or an idea I need to get out of my head quickly, AI helps me get started.

It saves me from staring at a blank page for 30 minutes.

But that’s what it is for me: a speed tool, not a thinking tool.

2. Finding patterns in data.

Going through large amounts of data and trying to spot trends used to take up a lot of time.

Now, AI can help me identify those patterns much faster.

And that gives me more time to focus on what actually matters: understanding the insight and deciding what we should do with it.

What didn’t make the cut:

1. Final copy, untouched.

I don't think I’ll ever be comfortable taking AI-generated copy, posting it as it is, and calling it done.

You can usually tell when nobody has gone back to add their own voice to it.

Every piece still goes through me because tone, context and judgment are things I’m not willing to outsource.

2. Strategy.

AI can help you understand a market. It can summarise competitors, spot patterns and give you ideas.

But it can't and shouldn't decide what your brand should stand for.

Because that still requires understanding people, the business and the bigger picture.

And I don't see that changing anytime soon.

So, my real take?

AI didn't replace the job, it replaced some of the boring parts of the job.

And honestly, nobody is complaining about that.

The goal isn't to use AI for everything.

It’s to know where it actually makes you better and where you still need to bring your own brain to the table.

Where do you personally draw the line with AI in your work?

#AIinMarketing #DigitalMarketing #MarketingTools #GrowthMarketing #FutureOfMarketing #MarketingStrategy #AITools

Quick Rant - I don’t like when I see an AI image in my feed.

I don’t like that I have to zoom in and analyze an image or video to figure out if what I’m looking at is real.

And I don’t love when my clients want to use AI-generated images in their social media or ads.

They all know my opinion on it. 😂

Ultimately, it’s their business and they can do what they want.

But here’s where I sound like a hypocrite:

I LOVE AI.

I use it constantly.

I use it to build project plans and Gantt charts.

Research local events and audiences.

Organize ideas.

Tweak copy.

And my personal favourite?

Writing reports. Because if a robot wants to help me turn 17 tabs of data into something a human actually wants to read, have at it!

The difference for me is where AI sits in the process.

I want AI behind the scenes helping us work faster, research deeper, organize better and get through the tedious stuff.

I don’t want it replacing the human part people actually came to see.

Your face.
Your product.
Your customers.
Your ideas.
Your weird little creative decisions.
Your actual point of view.

Maybe that’s my line with AI:

Let it do the work. Don’t let it become the personality.

I’m actually going to start qualifying new clients this way so we’re aligned.

What’s your take? AI images or nah?

Claude just introduced Cowork with Computer use, and this could change how performance marketers manage Meta Ads It can now interact with your screen, navigate platforms, click buttons, and complete actions inside Meta Ads Manager. What it can do:
‣ Pausing underperforming ad sets
‣ Adjusting campaign budgets
‣ Updating bids
‣ Creating new campaigns
‣ Editing ad copy
‣ Pulling performance reports
‣ Checking audience overlap
‣ Reviewing creative fatigue

Example prompts:
‣ Pause ad sets with a CPA above $60
‣ Increase budgets by 30% for ad sets with a ROAS above 3
‣ Find ad sets with zero conversions and pause them
‣ Create a new campaign for [product]
‣ Pull performance by ad set for the last 7 days.
‣ Which creatives are showing signs of fatigue?

You describe what you want, and it does it.

Before: AI gives advice, you do the work.
Now: AI does the work, you review.

This is not about replacing media buyers. It's about eliminating repetitive tasks so marketers can spend more time on strategy, testing, creative thinking, and driving growth.

Comment "Meta" and I will share a simple setup guide.

#PerformanceMarketing #MetaAds #MarketingAI #PaidMedia

The question isn't whether you should use AI. The question is whether AI is strengthening your brand or slowly erasing it.

Everyone is talking about AI, but I am not always sure in the right way.

Over the last six to nine months, its capabilities have expanded at an incredible pace.

As a marketer, consultant, and lecturer, I use AI EVERY DAY....not just to enhance the aesthetics of my work, but to improve how I serve my clients, analyse data, develop strategies, create content, and support my teaching and training.

However, I'm also very intentional about how I use it.

AI is an incredibly powerful productivity tool, but if we're not careful, it can make our content sound, look, and feel generic.

The more businesses rely on the same prompts and the same outputs, the harder it becomes to stand out.

Your competitive advantage has never been AI itself.

Your competitive advantage is your thinking, your experience, your perspective, and your authentic voice.

For me, the real opportunity isn't allowing AI to replace my expertise.

It's training AI to understand how I think as a consultant, how I communicate, how I teach, and how I solve problems.

When used well, AI should amplify your expertise, not dilute it.

The organisations and professionals who will win aren't those who simply adopt AI.

They'll be the ones who learn to integrate it into their systems in a way that increases productivity while preserving what makes them unique.

Use AI to work smarter.

But never let it erase the very thing your clients choose you for, your authentic brand.

How are you using AI without losing your authentic voice?

Is AI making us better marketers, or just faster at being mediocre?

I use AI. For stress-testing ideas before I share them. For first drafts on headlines. For analysis when it's integrated with my data.

But I've also had moments where every answer I got back was vanilla. Generic. Safe.

And I only recognized it as mediocre because I had the experience to know what good looks like.

That's the trap.

If you don't have the expertise yet, AI feels like a shortcut. But you're skipping the reps that build the muscle.

Writing and thinking — I still do those myself. Not because AI can't. Because that's what makes me 𝗮𝗻𝘆. That's the differentiator.

There's a line from Greg McKeown that stays with me:

If it's easy now, it will be hard tomorrow.
If it's hard today, it can be easy tomorrow.

AI is a tool. But tools don't build expertise. The hard work does.

So the question isn't "should I use AI?"

It's: "Am I using it to grow, or to hide?"

“AI CMO” posts are starting to annoy me.

Higgsfield launched Supercomputer and people are already framing it as a marketer you hire once: one prompt, it studies TikTok, Meta ads, X, analytics, then ships new content while you sleep.

That sounds great in a post. But the expensive part of marketing was never opening 14 tabs.

The expensive part is judgment.

Who decides the strategy? Who knows when a hook is clever but wrong for the customer? Who has enough pattern recognition to catch the 20% of an LLM answer that’s off before it costs the company real money?

Neil and I were talking about the Grand Theft Auto CEO’s point on AI. Thousands of games can get made every year. Only a few become hits. More output doesn’t replace taste.

Same thing with a CMO.

AI will replace pieces of the marketing workflow: research, ideation, creative variations, reporting, first drafts, analysis.

But someone with real experience still has to know what to ask for, what to ignore, and what to kill.

AI doesn’t make the CMO obsolete.

It makes weak judgment more expensive and strong judgment more scalable.

Marketing teams don't lack data. They're overwhelmed by it.

Every week brings another round of manual exports and another reporting deadline. The gap between having customer data and acting on it keeps widening, and the repetitive production work to bridge that gap eats hours that could go toward strategy, creativity, and growth.

That changes today. Klaviyo's expanded integration with Anthropic brings agentic marketing workflows to Claude, shifting from "analyst who tells you what to do" to teammate who actually does the work.

Connect Klaviyo’s autonomous B2C CRM with Anthropic’s Claude - helping brands turn customer data into reports, insights, and campaign-ready assets faster.

Meta released Ads AI Connectors in open beta yesterday.

Link: https://www.facebook.com/business/news/meta-ads-ai-connectors

From their post, it is basically MCP + CLI for Meta ads. MCP can connect your AI tool to the ad account through Meta auth, and they say no developer credentials, API setup or coding required.

It can pull reports, create/edit campaigns, manage catalogs/product feeds, and check signal diagnostics.

The interesting part to me is how normal this makes AI inside ad ops.

I have been using the Meta API a bit for client work, but very carefully. Mostly read-only or staged. Pull performance. Compare against CRM lead quality. Check events/offline conversions. Draft changes. Then review before anything goes live.

Meta always felt more scary than Google for this stuff, at least to me because of these recent posts about ban-waves.

So the official MCP is quite interesting and seems like a stamp of approval.

For reporting and diagnostics, great. For catalog/feed issues, probably very useful. For campaign creation, maybe useful if the account structure and naming rules are clear. For live edits to budgets, bids, exclusions or conversion settings, I would still want approvals and a change log.

And also the context problem is still there too.

Meta can tell you a campaign got leads. It cannot tell you if those leads were trash in the CRM, if sales ignored them, if the form broke, or if the conversion event is inflated.

So I think the good setup is Meta as one source inside the whole client workspace.

Curious how people are thinking about using it.

Mostly read-only reporting? Campaign creation? Actual live edits?