- Are Meta's new AI tools really worth using for your campaigns?
- What Meta presented at Advertising Week: the hard facts
- What changes in practice for people who run Meta campaigns every day?
- How well do Meta's AI campaigns really perform compared to manual ones?
- Three concrete scenarios: what changes for an e-commerce, a professional firm, and a manufacturing company?
- Why everyone's talking about it now: is the Italian advertising market really ready?
- Which Meta AI tools exist today, and how do they compare?
- How to get started: steps to integrate Meta AI into your campaigns
- What are the most common mistakes when using Meta's AI tools?
- How can you tell if Meta AI tools are really improving your campaigns?
- So, is it worth adopting the new Meta AI tools for your business?
- How we see it at SHM
- Frequently Asked Questions
- Meta is testing AI tools to import external creatives and read campaign insights automatically, cutting the manual work for ads managers.
- The Advantage+ suite (Meta's set of AI features for campaigns) has already reached an annual run rate of $75 billion: it's not a niche feature, it's the core of the system.
- People who adopt the Meta AI Business Assistant's suggestions see on average 5% more conversions at the same cost, according to data published by MediaPost.
- For an Italian SME, the concrete benefit is simple: fewer hours spent building creative variants and more time to read the results and decide.
Over 9 million small businesses already use at least one Meta creative AI tool. If your company hasn't touched these features yet, the gap with those who use them widens every quarter.
Are Meta's new AI tools really worth using for your campaigns?
Yes, if you run campaigns on Facebook or Instagram and want to cut the time spent on analysis and creative variants. The new features don't require advanced technical skills and fit into your existing workflow.
At Advertising Week 2026, Meta presented three new features in testing: importing external creatives directly into the platform, new creative insight tools (automatic analysis of what works in your ads) and improved conversational guidance for using the AI features. None of the three requires you to change how you work: they're added to the dashboard you already use.
The right question isn't “Should I use them?” but “How much does it cost me not to use them while my competitors adopt them?”
| Your situation | Is it worth it? | why |
|---|---|---|
| You run Meta campaigns on your own or with an agency | Yes | Fewer hours on manual analysis, more time for strategic decisions |
| You have a large product catalog and many creative variants | Yes | AI import cuts the work of uploading and testing |
| You spend less than €500 a month on Meta ads | Currency | There are benefits, but the time savings are more noticeable with higher budgets |
| You don't have a consolidated campaign structure yet | No, for now | Optimize the structure first, then add AI automation |
What Meta presented at Advertising Week: the hard facts
Meta is testing three features: external creative import, automatic analysis of creative insights and improved AI conversational guidance. They are in testing and not yet available to everyone.
The original source on Marketing Dive describes three areas of development presented by Meta at Advertising Week 2026.
The first is creative import: you'll be able to upload images and videos produced outside Meta (by an agency, a photographer or an external tool) and let the AI adapt them to the various formats and placements. The second is creative insight: the platform automatically analyzes which visual and text elements of your ads drive the most results, and explains it in plain language. The third is improved conversational guidance: you can ask the AI for suggestions on budget, targeting and creatives as you would with a consultant, right in the dashboard.
These features fit into an already very advanced ecosystem. The Advantage+ suite, Meta's set of AI tools that automatically optimizes targeting, creatives and budget, reached an annual run rate of $75 billion in the second quarter of 2026, according to data published by Marketing Dive. It's not an experimental feature: it's already the main engine of Meta campaigns.
In the second quarter of 2026, Meta recorded $59.4 billion in ad revenue, up 27% from the same period last year. Ad impressions grew 14% and the average price per ad 12%, according to the Form 10-Q filed with the SEC. These numbers say one thing: the platform is healthy and advertisers are investing more and more.
What changes in practice for people who run Meta campaigns every day?
Manual work shrinks on two fronts: building creative variants and reading performance data. AI handles the repetitive part, the ads manager sets the direction.
- 1 · Ads managerUploads external creativesImports images and videos produced outside Meta. The platform automatically adapts them to the required formats (Stories, Feed, Reels).
- 2 · Meta AIAnalyzes creative performanceThe system identifies which visual and text elements work best and generates a report in plain language.
- 3 · Ads managerReads the creative insightsGets clear guidance on what to optimize: colors, copy, format, call to action. Decides whether to apply the suggestions.
- 4 · Meta AI (conversational guidance)Answers operational questionsThe ads manager can ask directly: “Should I increase the budget on this campaign?” and get a contextual answer.
- 5 · Ads managerApproves and publishesThe final decision always stays in human hands. AI suggests, the ads manager validates.
The key point is that none of these steps replaces the ads manager. They make the role faster. If you spend two hours building creative variants and another hour reading reports, you can now put that time into strategic decisions: which product to push, which audience to expand, when to raise the budget.
How well do Meta's AI campaigns really perform compared to manual ones?
The available data shows a measurable advantage: Advantage+ delivers an average ROAS 22% higher than manually managed campaigns, and advertisers using the Business Assistant get 5% more conversions.
ROAS (Return on Ad Spend, or how much you earn for every euro spent on advertising) is the most direct metric for comparing the two approaches. Data published by Social Media Today shows that Advantage+ campaigns generate an average of $4.52 for every dollar invested, versus $3.70 for manual campaigns.
On cost per acquisition, Advantage+ campaigns that consolidated fragmented structures cut CPA (cost per customer acquisition) by up to 32% compared with manually managed multi-campaign setups, according to data cited by Optimyzee. The Meta AI Business Assistant, meanwhile, brings an average of 5% more conversions at the same cost.
On a monthly budget of €5,000, those numbers mean roughly €250 in additional conversions without spending a cent more. Illustrative example: the numbers show how the calculation works and are not real client data.
Three concrete scenarios: what changes for an e-commerce, a professional firm, and a manufacturing company?
Benefits vary depending on the type of business and the volume of creatives you manage. Here are three illustrative cases to show where the advantage is most concrete.
| Company type | Current problem | How Meta AI helps | Expected benefit |
|---|---|---|---|
| E-commerce (fashion or furniture) | Many product variants, hard to test every creative | Automatic import and adaptation to formats, creative insights to identify winning variants | Fewer setup hours, faster tests |
| Professional firm (lawyers, accountants) | Limited budget, little time to manage ads | AI conversational guide to optimize campaigns without technical expertise | More efficient campaigns with less supervision |
| B2B manufacturing company | Creatives produced by external agencies, hard to integrate | Direct import of external creatives, automatic adaptation to Meta formats | Smoother workflow between agency and platform |
The creative import feature is especially useful if you work with external agencies or photographers. Today the process means downloading files, uploading them manually to Meta Ads Manager, adapting them to the various formats and then setting up tests. With the new feature, much of this work becomes automatic.
Why everyone's talking about it now: is the Italian advertising market really ready?
The Italian digital advertising market is already worth €6.2 billion and growing at double-digit rates. If you don't adopt AI tools, you risk losing efficiency against competitors who already use them.
In 2025 the Italian Internet advertising market reached €6.2 billion, up 11% from the previous year. For 2026 the Osservatorio Internet Media of Politecnico di Milano estimates growth of up to €7 billion (+12%). Digital advertising already accounts for 53% of all advertising investment in Italy.
Globally, 9 million small businesses already use at least one Meta creative AI tool, according to Mark Zuckerberg as reported by MediaPost. A year ago it was fewer than one million. The adoption curve is steep. For Italian SMEs advertising on Meta, the time to evaluate these features is now, not six months from now.
This topic is part of a broader transformation in paid media: if you're following the evolution of Meta's tools, it's also worth reading how Meta is redesigning the relationship between brands and creators with the new hub for brands and creators, and how formats are evolving with episodic Reels on Instagram and Facebook.
Which Meta AI tools exist today, and how do they compare?
Meta already offers several AI tools for campaigns. The new features add to an ecosystem that's already well established: understanding what each one does helps you choose where to start.
| Tool | What it does | Who it is for | Status |
|---|---|---|---|
| Advantage+ Shopping | Automatically optimizes targeting, creatives and budget for e-commerce | E-commerce with a product catalog | Available |
| Advantage+ Audience | Automatically finds the best audience for your campaign | All advertisers | Available |
| Meta AI Business Assistant | Suggests optimizations in natural language | Those who run campaigns on their own | Available |
| GEM (Generative Recommender) | Matches ads and user preferences with advanced language models | Automatic on the platform side | Active since Q2 2026 |
| Creative Insight AI | Analyzes what works in your creatives and explains it in plain terms | Ads managers and agencies | In testing |
| AI creative import | Imports and adapts external creatives to Meta formats | Those who work with external agencies | In testing |
| AI conversational guide | Answers operational questions about campaigns in real time | All advertisers | In testing |
How do you get started: the steps to integrate Meta AI into your campaigns
You don't need to overhaul everything. Start from an existing campaign, turn on the available AI features and measure results before extending the approach.
The most effective path if you're starting from scratch with Meta AI tools follows a simple logic: consolidate first, then automate. If you have ten fragmented campaigns, merging them into an Advantage+ structure is the first step. Only then does it make sense to add creative analysis and import features.
If you run campaigns across multiple platforms, it's worth comparing this approach with LinkedIn's: the LinkedIn checklist for B2B campaigns offers a similar method for the professional channel.
- 1 · Ads managerCheck your current structureCount how many active campaigns you have. If there are more than 5 with similar objectives, consider consolidating them before adding AI.
- 2 · Ads managerTurn on Advantage+ for a pilot campaignChoose the campaign with the most historical data. Turn on Advantage+ Audience and let it run for at least 2 weeks without changes.
- 3 · Ads managerRead the creative insights availableEven before the new features in testing, Meta already shows creative performance data. Get into the habit of reading it every week.
- 4 · Ads manager + creative teamPrepare your creatives for importWhen the feature becomes available, you'll need high-quality files in the main formats. Organize your materials in advance.
- 5 · Ads managerMeasure and compareAfter 4 weeks, compare the ROAS and CPA of the AI campaign with the manual one. Decide whether to extend the approach.
What are the most common mistakes when using Meta's AI tools?
The most common problems aren't about technology. They come from how you set up the work before turning on AI. Automation amplifies what's already there: if the structure is wrong, AI gets it wrong faster.
Here are the five mistakes we see most often when a company turns on Meta AI features without proper preparation.
| Error | Why it is a problem | How to avoid it |
|---|---|---|
| Turning on Advantage+ for campaigns with little historical data | AI needs data to learn: below 50 conversions a month, results are unreliable | Wait until you have at least 50 conversions a month before enabling automatic optimization |
| Editing AI campaigns every 2-3 days | The algorithm needs a learning period: frequent changes reset it | Let the campaign run for at least 7-14 days without touching it |
| Using low-quality creatives and expecting AI to improve them | AI optimizes delivery, not content quality | Invest in creative quality first, then in automation |
| Ignoring creative insights because they seem too technical | Creative performance data is the main value of the new features | Spend 30 minutes a week reading the AI reports and turning them into one concrete decision |
| Relying on AI alone with no content strategy | AI optimizes toward the goal you give it: if the goal is wrong, it optimizes in the wrong direction | Define your business goals first, then set up your AI campaigns |
How can you tell if Meta AI tools are really improving your campaigns?
Three metrics are enough to tell whether AI is working well: ROAS, CPA and the campaign's learning status. If all three improve in the first four weeks, you're on the right track.
| Indicator | What it measures | Positive signal | Red flag |
|---|---|---|---|
| ROAS (return on ad spend) | How much you earn for every euro invested | Higher than the ROAS of manual campaigns over the same period | Lower than or equal to manual campaigns after 4 weeks |
| CPA (cost per acquisition) | How much you spend to get a customer or a conversion | Lower than manual campaigns | Rising or flat with no creative improvements |
| Campaign learning status | Whether the algorithm has enough data to optimize | "Learning complete" in the Meta panel | "Learning limited": you need more conversions or fewer edits |
| Ad frequency | How many times the same user sees your ad | Under 3 in the first week | Over 5: the audience is saturated, you need new creatives |
| CTR (click-through rate) | Percentage of people who click on the ad | Growing compared with previous campaigns | Falling: the creatives aren't working, change the content |
So, is it worth adopting the new Meta AI tools for your business?
Worth it if you have active Meta campaigns with at least 50 conversions a month, work with externally produced creatives and want to cut the time spent on manual analysis. The ROAS and CPA advantage is measurable within the first few weeks.
A middle path if you have a limited budget or campaigns still in the testing phase. Turn on Advantage+ Audience in a pilot campaign, measure for a month, then decide whether to expand. You don't need everything at once.
Not yet if you don't have a solid campaign structure or enough historical data. Optimize the structure manually first, then add AI automation. Otherwise you risk automating mistakes.
How we see it at SHM
For us, AI in advertising campaigns only makes sense when it frees up time to think, not when it becomes one more thing to manage. Meta's new features (creative insights, automatic import, conversational guidance) go exactly in this direction: they remove repetitive work and give back hours you can spend on strategic decisions.
We believe automation should be integrated with a method, not switched on all at once. With the clients we support on Meta campaigns, the starting point is always the structure: first you consolidate, then you automate. That's the only way AI amplifies results instead of amplifying mistakes.
If you want to see how to bring these tools into your workflow, explore our approach to strategic AI integration or learn more about how we manage Meta campaigns for SMEs and Italian companies. If you want to train your in-house team, there's also our training on business process automation.
To stay up to date on everything about paid media and performance advertising, follow the Marketing and performance ADV section of our blog. You'll also find the complete guide to how Meta is preparing holiday campaigns: Meta guide holiday 2026 is a good starting point for planning the coming months.
Frequently Asked Questions
The three features presented at Advertising Week 2026 (creative import, creative insights and improved conversational guidance) are still being tested. They have no official release date for all advertisers. In the meantime, Advantage+ and the Meta AI Business Assistant are already available and deliver measurable results.
There's no official threshold, but below 50 conversions a month the algorithm struggles to learn. In practice, with less than €500-1,000 a month, the benefits of automation are limited. With larger budgets, the advantage in ROAS and CPA becomes clearer and measurable within the first few weeks.
Yes. The Meta AI Business Assistant is designed for people who manage campaigns without advanced technical expertise. It answers practical questions in plain language and suggests concrete optimizations. The upcoming conversational guidance will strengthen this feature even further.
No. AI optimizes ad delivery and analyzes performance, but strategy, goal setting and the evaluation of results stay in the hands of the ads manager. The final decision on what to publish and how much to spend is always human. AI reduces repetitive work, not strategic work.
Check three things: you have at least 50 correctly tracked conversions a month, your campaigns have run for at least 30 days without frequent changes, and your creatives are of adequate quality. If all three conditions are met, you can activate Advantage+ on a pilot campaign and measure the results after 4 weeks.
Yes, with a few precautions. B2B campaigns on Meta tend to have lower conversion volumes, which slows down the algorithm's learning. In these cases, it's best to set a more frequent action as the goal (such as a product page visit or a form submission) instead of the final contact request, to give AI enough data to work with.
Meta AI isn't a tool for doing more. It's a tool for no longer doing the things that don't need a human brain.
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