- Is it really worth using Meta's new AI tools for your campaigns?
- What Meta presented at Advertising Week: the actual facts
- What changes in practice for those who manage Meta campaigns every day?
- How much 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?
- What Meta AI tools exist today and how do they compare?
- How to get started: the steps to integrate Meta AI into your campaigns?
- What are the most common mistakes when using Meta's AI tools?
- How to figure out if Meta AI tools are really improving your campaigns?
- So, is it really worth adopting Meta's new 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 down 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.
- Marketers who adopt the Meta AI Business Assistant's suggestions average 5% more conversions at the same cost, according to data published by MediaPost.
- For an Italian SME, the concrete advantage is one: 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 tried these features yet, the gap with those who use them widens every quarter.
Is it really worth using Meta's new AI tools for your campaigns?
Yes, if you manage campaigns on Facebook or Instagram and want to reduce time spent on analysis and creative variants. The new features do not require advanced technical skills and integrate into your existing workflow.
Meta introduced three features currently in testing at Advertising Week 2026: importing external creatives directly into the platform, new tools for creative insight (meaning automated analysis of what works in your ads) and an improved conversational guide to use AI features. None of the three require changing how you work: they fit right into 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 competitors adopt them?».
| Your situation | Is it worth it? | why |
|---|---|---|
| Manage Meta campaigns independently or with an agency | Yes | Fewer hours on manual analysis, more time for strategic decisions |
| You have a large product catalog and many creative variations | Yes | AI import reduces upload and testing work |
| Spend less than €500 per month on Meta ads | Currency | The benefits are there, but time savings are more obvious on higher budgets |
| You don't have a consolidated campaign structure yet | No, for now | First optimize the structure, then add AI automation |
What Meta presented at Advertising Week: the actual facts
Meta is testing three features: importing external creatives, automatic creative insights analysis, and an improved conversational AI guide. They are in the testing phase, 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 the creative import : you can upload images and videos produced outside of Meta (from an agency, a photographer, or an external tool) and let the AI do the work of adapting them to various formats and placements. The second is the creative insight : the platform automatically analyzes which visual and text elements of your ads generate the best results, and explains it to you in plain English. The third is a conversational guide improved: you can ask the AI for tips on budgets, targets, and creatives just like you would with a consultant, right inside the dashboard.
These features fit into an already very advanced ecosystem. The suite Advantage+ — Meta's suite of AI tools that automatically optimizes audiences, creatives, and budgets — has hit a yearly run rate of 75 billion dollars in the second quarter of 2026, according to data published by Marketing Dive . This isn't an experimental feature: it's already the main engine of Meta campaigns.
In the second quarter of 2026, Meta recorded 59.4 billion dollars in ad revenue, with a 27% increase compared to the same period of the previous year. Ad impressions grew by 14% and the average price per ad by 12%, according to the Form 10-Q filed with the SEC . These numbers say one thing only: the platform is healthy and advertisers are investing more and more in it.
What changes in practice for those who manage Meta campaigns every day?
Manual work is reduced on two fronts: building creative variants and reading performance data. AI handles the repetitive stuff, the ads manager sets the direction.
- 1 · Ads manager Upload external creatives Import images and videos made outside Meta. The platform automatically tweaks them to fit the right sizes (Stories, Feed, Reels).
- 2 · Meta AI Analyze creative performance The system identifies which visual and text elements work best and generates a report in plain language.
- 3 · Ads manager Read creative insights Get clear guidance on what to optimize: colors, copy, format, call to action. Decide whether to apply the suggestions.
- 4 · AI Meta (conversational guide) Answers operational questions The ads manager can directly ask: "Should I increase the budget on this campaign?" and get a contextual answer.
- 5 · Ads manager Approve and publish The final decision always remains in human hands. AI suggests, the ads manager validates.
The bottom line is that none of these steps replaces the ads manager. They just speed things up. Anyone who currently spends two hours making creative variants and another hour reading reports can now use that time for big-picture choices: which product to push, what audience to expand into, when to crank up the budget.
How much do Meta's AI campaigns really perform compared to manual ones?
Available data shows a measurable advantage: Advantage+ generates on average a 22% higher ROAS compared to manually managed campaigns, and those using the Business Assistant get 5% more conversions.
The ROAS (Return on Ad Spend, meaning how much you earn for every euro invested in advertising) is the most direct metric to compare the two approaches. Data published by Social Media Today show that Advantage+ campaigns pull in an average of $4.52 for every dollar spent, compared to $3.70 for manual campaigns.
On the cost per acquisition front, Advantage+ campaigns that consolidated fragmented structures achieved a reduction in CPA (cost per customer acquisition) of up to 32%compared to manually managed multi-campaign setups, according to data cited by Optimyzee . The Meta AI Business Assistant , on the other hand, brings an average of 5% more conversions at the same cost.
Numbers that, on a monthly budget of 5,000 euros, mean about 250 euros in additional conversions without spending a single cent more. Illustrative example: the numbers serve to show the calculation, they are not real client data.
Three concrete scenarios: what changes for an e-commerce, a professional firm, and a manufacturing company?
The benefits change depending on the type of company and the volume of creatives managed. Here are three illustrative cases to understand where the advantage is most concrete.
| Company type | Current problem | How Meta AI helps | Expected benefit |
|---|---|---|---|
| E-commerce (fashion or furniture) | Lots of product variants, hard to test all creatives | Automatic import and format adaptation, creative insights to identify winning variants | Fewer setup hours, faster testing |
| 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 made by outside agencies, hard to integrate them | Direct import of external creatives, automatic adaptation to Meta formats | Smoother workflow between agency and platform |
The creative import feature is especially useful for those working with external agencies or photographers. Today the process requires downloading files, manually uploading them to Meta Ads Manager, adapting them to 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 euros and is growing at double digits. Those who don't adapt to AI tools risk losing efficiency compared to competitors already using them.
In 2025 the Italian Internet advertising market reached 6.2 billion euros , with an 11% growth compared to the previous year. For 2026, the Internet Media Observatory of the Politecnico di Milano estimates growth of up to 7 billion euros (+12%). Digital advertising already represents 53% of all Italian advertising investments.
Globally, 9 million small businesses are already using at least one Meta creative AI tool, as stated by Mark Zuckerberg and reported by MediaPost A year ago they were less than a million. The adoption curve is steep. For Italian SMEs that advertise on Meta, the time to evaluate these features is now, not in six months.
This topic fits into a broader context of paid media transformation: if you are following the evolution of Meta tools, it is also worth reading how Meta is reshaping the relationship between brands and creators with the new hub for brands and creators , and how formats are evolving with the Episodic reels on Instagram and Facebook .
What Meta AI tools exist today and how do they compare?
Meta already offers several AI tools for campaigns. The new features add to an already structured ecosystem: understanding what each one does helps you choose where to start.
| Tool | What it does | Who is it for | Status |
|---|---|---|---|
| Advantage+ Shopping | Automatically optimize targeting, creatives, and budgets for e-commerce | E-commerce with 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 manage campaigns autonomously | Available |
| GEM (Generative Recommender) | Match ads and user preferences with advanced language models | Automatic on the platform side | Active from Q2 2026 |
| Creative Insight AI | Analyze what works in your creatives and explains it clearly | Ads manager and agencies | In testing |
| AI creative import | Import and adapt 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 to get started: the steps to integrate Meta AI into your campaigns?
No need to revolutionize everything. Start with an existing campaign, turn on the available AI features, and measure the results before rolling out the approach further.
The most effective path for those starting from scratch with Meta AI tools follows a simple logic: first consolidate, then automate. If you have ten fragmented campaigns, unifying them into an Advantage+ structure is the first step. Only after that does it make sense to add creative analysis and import features.
For those managing 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 manager Check the current structure Count how many active campaigns you have. If there are more than 5 with similar goals, consider consolidating them before adding AI.
- 2 · Ads manager Activate Advantage+ on a pilot campaign Choose the campaign with the most historical data. Turn on Advantage+ Audience and let it run for at least 2 weeks without changes.
- 3 · Ads manager Read available creative insights Even before the new features being tested, Meta already shows data on creative performance. Get used to checking them every week.
- 4 · Ads manager + creative team Prepare creatives for import Once this feature rolls out, you'll need top-notch files in all the main formats. Get your stuff organized early.
- 5 · Ads manager Measure and compare After 4 weeks, compare the ROAS and CPA of the AI campaign with the manual one. Decide whether to roll out the approach further.
What are the most common mistakes when using Meta's AI tools?
The most common problems aren't about technology, but how you set up the work before turning on the AI. Automation amplifies what's already there: if the structure is wrong, the 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 |
|---|---|---|
| Activate Advantage+ on campaigns with little historical data | AI needs data to learn: below 50 conversions per month, results are unreliable | Wait until you have at least 50 monthly conversions before activating automatic optimization |
| Modify 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 thinking AI will improve them | AI optimizes delivery, not content quality | Invest first in creative quality, then in automation |
| Ignoring creative insights because they seem technical | Creative performance data is the main value of the new features | Spend 30 minutes a week reading AI reports and making a concrete decision |
| Relying solely on AI without a content strategy | AI optimizes toward the goal you give it: if the goal is wrong, it optimizes in the wrong direction | Define business goals first, then set up your AI campaigns |
How to figure out if Meta AI tools are really improving your campaigns?
Three metrics are enough to understand if the AI is working well: ROAS, CPA, and campaign learning rate. If all three improve in the first four weeks, you are 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 from 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 | Down compared to manual campaigns | Increasing or stable without creative improvements |
| Campaign learning status | If the algorithm has enough data to optimize | «Learning complete» in the Meta panel | «Limited learning»: you need more conversions or fewer changes |
| Ad frequency | How many times the same user sees your ad | Below 3 in the first week | Above 5: the audience is saturated, new creatives are needed |
| CTR (click-through rate) | Percentage of people clicking on the ad | Growing compared to previous campaigns | Declining: creatives aren't working, change content |
So, is it really worth adopting Meta's new AI tools for your business?
It is worth it if you have active Meta campaigns with at least 50 monthly conversions, work with externally produced creatives, and want to cut down the time spent on manual analysis. The boost in ROAS and CPA is measurable within the first few weeks.
A middle ground you have a limited budget or campaigns still in the testing phase. Turn on Advantage+ Audience on a pilot campaign, measure for a month and then decide whether to expand. You don't need everything right away.
Not yet if you don't have a solid campaign structure yet 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 just another thing to manage. The new Meta features — creative insights, automatic import, conversational guide — go precisely in this direction: they remove repetitive work and give back hours that can be used for strategic decisions.
We believe that automation should be integrated methodically, not activated all at once. With the clients we manage on Meta campaigns, the starting point is always the structure: first you consolidate, then you automate. Only in this way does AI amplify results instead of amplifying mistakes.
If you want to understand how to integrate these tools into your workflow, you can explore our approach to Strategic AI integration or learn more about how we manage Meta campaigns for Italian SMEs and companies. For those who want to train their internal team, there is also the training path of business process automation training .
To stay updated on everything related to paid media and performance advertising, follow the section Marketing and ADV performance of our blog. You can also find the complete guide on how Meta is preparing campaigns for the holidays: Meta holiday guides 2026 is a great starting point for planning the upcoming months.
Frequently Asked Questions
The three features showcased at Advertising Week 2026 — creative import, creative insights, and improved conversational guidance — are still in testing. They don't have an official release date for all advertisers yet. Meanwhile, Advantage+ and the Meta AI Business Assistant are already available and delivering measurable results.
There is no official threshold, but below 50 conversions per month the algorithm struggles to learn. In practice, with less than 500-1,000 euros per month the benefits of automation are limited. With higher budgets, the advantage in terms of ROAS and CPA becomes more evident and measurable within the first few weeks.
Yes. The Meta AI Business Assistant is specifically designed for those who manage campaigns without advanced technical expertise. It answers operational questions in plain language and suggests concrete optimizations. The upcoming conversational guide will further strengthen this feature.
No. AI optimizes ad delivery and analyzes performance, but strategy, goal setting, and results evaluation remain 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 properly tracked monthly conversions, your campaigns have been running for at least 30 days without frequent edits, and you have decent-quality creatives. If all three boxes are checked, you can turn on Advantage+ for a test campaign and measure results after 4 weeks.
Yes, but 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 (like visiting the product page or filling out a form) instead of the final contact request, to give the AI enough data to work with.
Meta's AI isn't a tool to do more stuff: it's a tool to stop doing things that don't need a human brain.
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