Meta Andromeda: The New AI Brain That Decides Who Sees Your Ad

In October 2025 Meta rolled out globally the biggest update to its advertising system in the past five years. It's called Andromeda, and it has 10,000 times more capacity than the previous system. That's not a typo — ten thousand times.

What does that mean in practice? This system processes billions of signals per second and decides who sees which ad. Your carefully chosen interest targeting? It treats it as a gentle hint, not an instruction. Your three ads in an ad set? Not enough material for it to even get going.

In our previous article on Facebook advertising in 2026 we introduced Andromeda in the context of the overall strategy. Now it's time to go under the hood. In this article we'll look at how the system works technically, what Entity ID is (a concept almost nobody in the Czech Republic writes about), how the GEM model fits in and, above all — what to actually do about it. Whether you spend 500 CZK or 50,000 CZK a day.

In this article:

  1. What Meta Andromeda is (and why it has to matter to you)
  2. 4 changes Andromeda brought
  3. What to do — a practical guide for your campaigns
  4. And what about small budgets?
  5. What can go wrong (honestly)
  6. How Andromeda changes performance measurement
  7. FAQ

The summary for those who don't have time to read the whole article

What Meta Andromeda is (and why it has to matter to you)

When Meta announced Andromeda in 2024, it sounded like another marketing buzzword. Another cool name, another press release, another “game changer.” But this isn't a cosmetic tweak. It's a complete rewrite of the core of the system Meta uses to decide which ads get shown to whom. The old retrieval engine went in the bin. The new one grew up from scratch.

Why should this matter to you? Because Andromeda fundamentally changes what you, as an advertiser, influence — and what you don't.

You used to influence mainly who the ad was shown to (interest selection, demographics, lookalikes). Today you influence mainly what you show (the creative). Andromeda finds the who by itself.

How Andromeda works — 4 steps from ad to impression

When an ad is about to be shown to a user, four steps take place. The whole process takes a fraction of a second:

Step 1 — Retrieval (Andromeda). From tens of millions of active ads, the system narrows the selection down to thousands of candidates. It does this based on a semantic understanding of the ad's content and the user's profile. The whole thing takes up to 200 milliseconds.

Step 2 — Light ranking. From thousands of candidates, the system selects the few hundred most suitable. It uses simpler models so it can do it quickly.

Step 3 — Final scoring. It assigns each ad a score by the formula: Total value = Bid × Estimated action rate + User value. This is where the GEM model decides (more on that shortly).

Step 4 — Auction and impression. The ad with the highest score wins and is shown. The whole thing happens in real time, for billions of users at once.

What's crucial about this? Step 1. If your ad doesn't make it through the retrieval phase, it never reaches the auction. It doesn't matter how much you bid for it. Andromeda simply won't let it through, because it judges it irrelevant for that user.

Entity ID — how Andromeda “sees” your creative

This is a concept almost nobody in the Czech Republic writes about. And yet it's the key to understanding the whole system.

Andromeda assigns every ad a so-called Entity ID — a semantic fingerprint. It generates it from three inputs:

  1. Computer vision — it analyses the visual composition, colours, layout, scene and objects in the image or video.
  2. NLP (natural language processing) — it analyses the ad's text, benefits, tone of communication and keywords.
  3. Audio analysis — for videos it analyses the music, voiceover and sound effects.

From these three inputs a unique “fingerprint” of your ad is created. And here comes the important part:

If the Similarity Score of two ads is above 60%, Andromeda groups them under a single Entity ID. In practice this means that 50 ads which differ only in background colour or one word in the headline have, for Andromeda, the value of a single ad.

An analogy: imagine you go to a casting and send in 50 of your photos. In all of them you're wearing the same outfit, the same expression, you just shot them in a different room. The panel won't count you 50 times — it'll count you once.

That's why “having lots of creatives” doesn't mean “having lots of variants.” Andromeda needs conceptually different ads. A different format. A different angle. A different persona. A different benefit. A different emotion.

A practical test: If your two ads look similar even without the text (based on the visual alone), they'll probably fall under a single Entity ID.

GEM — the second brain almost nobody in the Czech Republic writes about

But this whole system is only half the story. The other half is called GEM — the Generative Ads Recommendation Model.

If Andromeda decides which ads can be shown (the retrieval phase), GEM decides which ads will be shown (the ranking phase). A nice analogy: Andromeda chooses what goes on the shelf in the shop. GEM decides what gets displayed at the front, at eye level.

GEM is the largest foundation model for recommendation systems in the world. Meta trained it at LLM scale (much like large language models such as ChatGPT or Claude are trained). It's 4 times more efficient than the previous generation of models.

The results?

What does that mean for you as an advertiser? GEM is the reason “letting the algorithm work” genuinely performs better than manual optimisation in 2026. You're up against a model trained on data from a billion users and a million advertisers. Manual bid tweaks and interest selection don't stand a chance against it.

4 changes Andromeda brought (and what they mean for your campaigns)

Creative = the new targeting

This is by far the biggest change. Meta says it officially: “Creative is the new targeting.”

You used to spend hours selecting interests, demographics and lookalikes. The new system bypasses all of that. It reads your ad — image, text, audio — and finds the people it's relevant to on its own.

If you have a video about how to get rid of dust mites in your bed, Andromeda will show it to people dealing with allergies and sleep quality. If you have a photo of a beautiful cake, it'll show it to people planning a birthday party.

And it does it more accurately than you ever could by hand. Because it sees signals you don't — browsing history, purchase behaviour, interactions with similar content.

The practical impact: Instead of hours setting up targeting, spend the time creating varied creatives. Each creative speaks to a different person — and Andromeda delivers it to the right one.

Fewer campaigns, more creatives

Meta has officially scrapped the old recommendation of “a maximum of 6 ads per ad set.” It now recommends 8–15 or more distinctly different ads in one ad set. The limit is up to 150 ads per ad set.

The reason? The system needs a large pool of creatives to choose from. The more conceptually varied ads you give it, the better it can match the right ad to the right person.

The key phrase is conceptually varied. Not 15 variations of one photo with different text. 15 completely different approaches — a different format, a different angle, a different persona, a different emotion. (Remember Entity ID.)

Broad targeting is the new standard

Manually selecting interests in 2026 restricts the algorithm more than it helps. You're telling it: “Only look here.” When it would find great customers elsewhere too, where you wouldn't think to look.

The recommendation: broad targeting — fill in only the country (the Czech Republic, or Slovakia), age and language. Leave the Advantage+ audience switched on. No interests, no lookalikes.

The data confirms it. According to a study by Five Nine Strategy, advertisers who consolidated into 1 ad set with 25 creatives and broad targeting achieved 17% lower CPA and 17% higher conversions compared with 5 ad sets of 5 creatives each with manual targeting.

The only exception? Retargeting. There you target people who have already interacted with your brand — site visitors, cart abandoners, IG engagers. That still makes sense in the Andromeda era.

Consolidation = better results

Consolidation means unification. Instead of 10 small campaigns with small budgets, have 2–3 larger campaigns.

Why? Every campaign needs data in order to learn. The more data in one campaign, the faster and better it learns to optimise. This is called data density.

At nanoSPACE we did exactly this. We consolidated dozens of smaller campaigns into 3–4 larger ones. The result: a 25% budget cut while maintaining revenue, and ROAS rose by 30% — from 3.73x to 4.87x on profit. Year on year, the store's total revenue grew by 59%.

What to do — a practical guide for your campaigns

Campaign structure in the Andromeda era

The recommended structure is surprisingly simple:

Campaign

Budget

Budget type

Number of creatives

Testing

10–20%

ABO (manual per ad set)

8–15 per set

Scaling

40–50%

CBO (automatic)

15–30+

Advantage+ Shopping

30–40%

Automatic

Catalogue + custom

Retargeting

5–10%

CBO/ABO

6–12

The Testing campaign is your laboratory. 3–5 ad sets, each with a different concept. ABO budget so you keep control. Broad targeting. Move the winners (10+ conversions at a reasonable CPA) into Scaling.

The Scaling campaign is your money machine. Ideally 1 ad set (yes, one). Higher data density = faster learning. 15–30+ winning creatives from testing + 10–20% new creatives as “fresh blood.”

Advantage+ Shopping uses your product catalogue. Meta automatically builds ad combinations from your products. With Andromeda it's even more effective — it reads the product photos and descriptions and matches the right product to the right person itself.

Retargeting brings back the hesitant. Merge all your remarketing audiences into one ad set. Focus the ads on overcoming doubts: reviews, guarantees, limited offers.

Creative strategy — the P.D.A. Framework

How do you create creatives that Andromeda perceives as genuinely different? Use the P.D.A. Framework — three axes you combine:

P — Persona (who you're speaking to)

Every product solves problems for different people. Take anti-allergy bedding from nanoSPACE, for example:

D — Desire (what they want)

Each persona has a different main desire:

A — Awareness (how much they know about you)

Each combination of P × D × A creates a unique creative that Andromeda perceives as different. Three personas × three desires × three awareness levels = 27 concepts. Even if you turn just 10 of them into ads, you have a solid creative base.

Audit checklist — how to tell whether your creatives are different enough

Go through your ads and answer these questions for each one. If you answer “no” to most of them, your creatives are probably under different Entity IDs:

  1. Do they look visually similar even without the text? (Cover the text — are the images/videos distinguishable at a glance?)
  2. Do they speak to the same persona? (Do they address the same person with the same problem?)
  3. Do they use the same format? (Are they all static images? All UGC videos?)
  4. Do they communicate the same benefit? (Do they all say “you'll save money”?)
  5. Do they have the same emotional tone? (Are they all humorous? All serious?)

The ideal mix for one ad set: 2–3 formats (static, video, carousel), 2–3 personas, 2–3 benefits. And at least one “wild” concept you wouldn't normally try — Andromeda will occasionally surprise you with what works.

💡 **TIP:** Have someone who doesn't know your creatives evaluate them. Show them two ads side by side for 3 seconds and ask: “Is this the same ad?” If they say yes, you have a problem.

And what about small budgets? (Because not everyone spends millions)

Here I have to be honest. Most of the “best practices” for Andromeda you'll find in articles (even the English ones) are designed for advertisers with a budget of 50,000 CZK (≈ €2,000) and up per month. At smaller amounts those rules don't just fail to work — they can actively harm you.

Why? On a small budget with 20 creatives in an ad set, the algorithm allocates 80% of the budget to 2–3 ads based on the first engagement signals. The remaining 17 ads get 1–3 CZK a day — they never gather enough data to prove whether they work or not.

A framework for a budget of 500–1,500 CZK/day (≈ €20–60) (from Allie Boyd, who manages campaigns worth $7M a month):

  1. 1 angle = 1 ad set = 1 ad. Each ad set has its own budget (ABO), at least 300–500 CZK/day (≈ €12–20).
  2. Test 3 angles for 5–7 days. Evaluate on conversions, not likes.
  3. The winning angle → test formats. Try the same angle as a static, a video and a carousel.
  4. Only then scale via CBO. Once you have a proven angle and format, move it into the scaling campaign.

Sounds like the opposite of what Meta recommends? It is. But Meta writes its recommendations for the average advertiser — and the average advertiser on Meta spends far more than a Czech online store with a budget of 15,000 CZK (≈ €600) a month.

💡 **TIP:** The minimum daily budget per ad set should be at least 3–5× your target CPA. If you want to pay a maximum of 300 CZK per purchase, put at least 900–1,500 CZK (≈ €36–60) a day on the ad set. If you don't have that much, cut the number of ad sets and put the money into fewer sets — but with enough behind each.

What can go wrong (honestly)

It would be unfair to write only about the positives. This system has a dark side too, and not every advertiser is thrilled. And we at LK Media see it first-hand — not every transition goes smoothly.

Ghost approvals

The ad passes review, the campaign is active, but it gets no impressions. No spend. It looks as if everything is working — but it's stalled. A surprising number of advertisers report this problem on Reddit and LinkedIn. The fix? Duplicate the ad, change a small detail in the text, republish. Sometimes restarting the whole ad set helps.

Performance volatility

A campaign that ran perfectly for a week suddenly doubles its CPA overnight. Andromeda switches between ads and audiences. Smaller advertisers feel it the most, because they have a smaller data cushion. The fix: don't kill the campaign. Give it 3–5 days. It often stabilises on its own.

Creative fatigue is faster

In the Andromeda era, top performers last 2–4 weeks instead of months. The system burns through an ad quickly because it shows it aggressively to the most relevant people. The fix: add 2–3 new creatives every week. Build a system for producing creatives — without it you won't succeed in 2026.

Sceptical voices from the industry

Not all experts are enthusiastic. Bram Van der Hallen, one of the most respected Meta Ads experts, called consolidation “absolute nonsense” — reach grows, but the real impact on sales doesn't. CTR improves thanks to cheaper formats (Stories, Reels), not thanks to better intent. Aazar Ali Shad, who manages campaigns worth $7 million a month, labelled Andromeda “snake oil” — he sees no real shift in results.

And on Reddit's r/FacebookAds you'll find dozens of posts from advertisers who recorded 50–90% drops in sales after switching to Andromeda. Especially online stores that relied on product photos and feature-focused copy with no emotional hook.

What follows from this?

Andromeda isn't a magic wand. It works excellently if you:

It doesn't work well if you:

At LK Media we moved to Andromeda gradually. First at nanoSPACE as a pilot client, then with the others. With each one we saw a different “adoption curve” — for some it clicked straight away, for others it took 3–4 weeks before the campaigns stabilised. The key was always the same: enough varied creatives and patience in the first weeks.

How Andromeda changes performance measurement

Czech articles don't talk about this at all, but it's fundamental.

Since January 2026 Meta has removed the 7-day view and 28-day view attribution windows. This means that conversions Meta used to attribute to an ad (because the user saw it, even without clicking) are now no longer counted.

Another change: engaged-view attribution has lowered the threshold from 10 seconds to 5 seconds. It used to be enough for a user to watch a video for 10 seconds — that counted as an “engaged view” and the conversion was attributed to the ad. Now 5 seconds is enough. Paradoxically, this can improve your numbers, because the count of “engaged views” goes up.

And finally: Meta is introducing Incremental Attribution — it measures only the conversions that wouldn't have happened without the ad. Not every conversion the ad contributed to. This is fairer, but your reported ROAS figures may drop.

What to do about it?

💡 **TIP:** Install the Meta Pixel Helper extension for Chrome. In 30 seconds you'll find out whether your pixel is working correctly. If it isn't, fix that before anything else. Without data, Andromeda is blind.

Conclusion

Let me put it plainly: Andromeda isn't evolution. It's revolution. A complete rewrite of the system's core with a 10,000-times-more-complex model and a two-layer architecture (Andromeda + GEM) that fundamentally changes how ads are delivered on Meta.

The key takeaway? Stop optimising who the ad is shown to. Start optimising what gets shown. Your creative is your targeting. Entity ID decides whether you have 20 chances in the auction or one. And GEM decides whether your ad wins.

Three things to do this week:

  1. Audit your creatives — are they really conceptually different? (Use the checklist above.)
  2. Check your tracking — is the Pixel working? Do you have CAPI? (Meta Pixel Helper → 30 seconds.)
  3. Consolidate — how many active campaigns do you have with the same goal? If more than 4, you have a problem.

And if this feels like a lot of work — you're right. Andromeda lowered the barrier to entry (setup is simpler) but raised the demands on creative and strategic thinking. In 2026, the winner isn't the one who clicks best in Ads Manager. The winner is the one who best understands their customer and can turn that into an ad that resonates.

Frequently asked questions about Facebook advertising

What is Meta Andromeda?

Andromeda is Meta's new AI retrieval engine (a search engine for ads), rolled out globally in October 2025. It has 10,000 times more capacity than the previous system. It analyses the content of ads (image, text, audio) and automatically matches them with the right users. It fundamentally reduces the importance of manual targeting — creative becomes the new targeting.

How does Andromeda affect ROAS?

According to Meta's official data, advertisers using Advantage+ (built on Andromeda) achieve on average 22% higher ROAS. In practice it depends on the quality of the creative and the budget. At nanoSPACE, after consolidating campaigns along Andromeda's principles, we saw ROAS rise by 30% — from 3.73x to 4.87x on profit.

How many creatives do I need for Andromeda?

It depends on the budget. At 3,000+ CZK/day (≈ €120+) per ad set: 8–15 conceptually different creatives. At 500–1,500 CZK/day (≈ €20–60): fewer creatives, but with more even budget distribution (1 angle = 1 ad set = 1 ad). The key is that the creatives have distinct Entity IDs — a different visual, a different format, a different persona, a different benefit.

Does interest targeting still work in Meta Ads?

Technically yes, but its importance has fallen dramatically. Andromeda treats manually entered interests as a “soft hint,” not an instruction. The data shows that broad targeting (no interests) combined with quality creative delivers better results than manual targeting. The exception is retargeting, where targeting specific audiences (site visitors, cart abandoners) still makes sense.

What is GEM and how does it relate to Andromeda?

GEM (Generative Ads Recommendation Model) is Meta's second AI system, which works together with Andromeda. While Andromeda decides which ads can be shown (the retrieval phase), GEM decides which will be shown (the ranking phase). GEM is the largest foundation model for recommendation systems in the world, 4× more efficient than the previous generation. It delivered +5% conversions on Instagram and +3% on Facebook Feed.

Meta title: Meta Andromeda: the AI brain reshaping Meta ads 2026

Meta description: How Meta Andromeda works, what Entity ID and the GEM model are. A practical guide for campaigns — including a strategy for small budgets.