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Sky Spark Digital is a Gurgaon-based digital marketing agency focused exclusively on real estate. We help brokers and developers generate qualified leads through Meta Ads, Google Ads, and AI-powered follow-up systems.
If you run Meta Ads for a real estate project and you have noticed that the old tricks do not work like they used to, you are not imagining it. Narrowing your audience to "homeowners, age 30 to 45, interested in real estate" used to feel like the smart move. Now it often just makes your ads more expensive and your leads worse. There is a real reason for this, and it is called Andromeda.
This post explains what Andromeda actually is, in plain language, with real estate examples, so you understand what changed and what to actually do about it. No jargon left unexplained, no assuming you already know what a lookalike audience is.
For years, running a Meta ad meant you, the advertiser, had to manually tell Facebook who to show your ad to. You would pick interest categories like "real estate" or "home buying," set an age range, choose a city, and maybe build something called a lookalike audience, which just means "show my ad to people who look similar, on paper, to my past customers."
Think of it like handing a salesperson a printed list of characteristics and saying, go find me buyers who match this list. The salesperson does not actually know these people. They are just matching boxes on a form. Someone could tick every box on your list, "age 35, married, interested in real estate," and still have zero intention of buying a flat in Gurgaon this year.
Andromeda is Meta's newer AI system for deciding who sees your ad. Instead of matching people to the boxes you ticked, it looks at actual behavior, for every single person, across Facebook, Instagram, WhatsApp, and Messenger, and predicts how likely that specific person is to respond to your specific ad.
Here is the difference in plain terms. The old system asked "does this person match the description you gave me." Andromeda asks "based on everything this person has actually done recently, on any of Meta's apps, how likely are they to click, message, or fill your form right now."
That is a completely different question, and it is why manually narrowing your audience the old way now often works against you instead of for you.
Say you are running ads for a 3BHK project in Sohna Road. Under the old system, you might have set your audience to "Gurgaon, age 28 to 45, interested in real estate." That is it. Everyone who fits that description gets a shot at seeing your ad, whether they scrolled past ten property reels this week or have never once engaged with anything property related.
Under Andromeda, the system is instead looking at signals like someone who spent extra time on a video of a 3BHK walkthrough, someone who visited a builder's Instagram page and then also checked a home loan calculator, someone who sent a WhatsApp message to a different real estate page last week. None of that is something you typed into a targeting box. Andromeda picked it up from actual behavior and used it to decide this specific person is worth showing your ad to, even if their listed age or interests do not perfectly match what you set.
This is also why two advertisers running what looks like the identical campaign, same budget, same city, same age range, can get very different results. The one whose ad creative and landing experience actually earns real engagement gets fed to more of the right people. The system rewards actual response, not box ticking.
It helps to understand Meta's actual motivation here, because it explains why fighting the system rarely works. Meta makes money when ads perform well, because advertisers who get good results keep spending, and advertisers who waste money leave the platform. So Meta has a direct incentive to get better and better at showing each ad to the person most likely to actually respond to it.
The old interest based targeting was, honestly, a fairly blunt tool even at its best. Someone can have "real estate" listed as an interest because they clicked one article about mortgage rates three years ago and never touched the topic again. Andromeda replaces that guesswork with something closer to a live read of what someone is actually doing right now, this week, on any Meta app. From Meta's side, that is simply a better product. From your side as an advertiser, it means the rules you learned five years ago no longer describe how the system actually works.
This is the part beginners usually find the most confusing, so here is a concrete version. Say you are advertising a plotted development. Instead of running one static image ad to a narrow audience, a better approach under Andromeda looks like this: three or four different video creatives, maybe one walkthrough video, one drone shot of the site, one short testimonial style clip, and one simple offer graphic, all running to a wider city level audience rather than a tightly filtered one.
The system will naturally show more of whichever creative is actually getting engagement, to more of the people who are actually responding, and quietly show less of the ones that are not working. You are not manually deciding which ad goes to which person. You are giving the system enough real options and enough real audience room that it can do that matching itself, based on real behavior instead of your guesses about who your buyer is.
This is a genuinely different job than old school Meta Ads management. It is less about clever manual targeting tricks and much more about having enough good creative variety and enough patience to let the system find the pattern.
A few things follow from this, and they are the actual actionable part of this post.
Stop narrowing your audience aggressively. A tightly restricted audience gives Andromeda less room to find the people who will actually respond. Broader targeting with good creative usually outperforms a narrow audience with average creative now, which feels backwards if you learned Meta Ads the old way.
Your ad creative matters more than your targeting settings. Since the system is reading real response signals, an ad that actually gets people to stop scrolling and engage will get shown to more of the right people automatically. A boring template ad with perfect targeting settings will still underperform a genuinely good video with loose targeting.
Give the system more to learn from, not less. Running one ad to a tiny audience gives Andromeda almost no data to work with. Running a few different creative variations to a reasonably sized audience gives it real signal to find your buyers.
Expect a short learning period after any big change. Every time you change your audience or swap creative significantly, the system needs a few days of fresh data to relearn who is responding. Judging a new ad's performance after one day is judging it before the system has actually learned anything.
The most common thing we see is developers and brokers fighting the system instead of working with it. They keep manually shrinking their audience because that used to feel like control. Under Andromeda, this usually just starves the algorithm of the data it needs and makes your cost per lead go up, not down.
The better approach is the opposite of what feels intuitive if you learned Meta Ads years ago. Keep your audience reasonably wide, give the system multiple real ad variations to test, and let actual buyer behavior do the narrowing for you instead of doing it manually yourself.
Meta used to ask "does this person match the box you ticked." Now it asks "has this exact person shown real signs of interest recently, anywhere on Meta's apps." Your job as an advertiser has shifted from picking the perfect targeting boxes to giving the system enough good creative and enough audience room to find your real buyers on its own. If you take away nothing else, take away that one sentence, because it explains almost every confusing result you have seen in your ad account over the last year.
We build campaigns assuming Andromeda is doing the fine grained targeting, not us. That means our job shifts toward what actually moves the needle now, strong creative that earns genuine engagement, landing pages that convert once someone clicks, and enough budget and audience room for the system to actually learn. For real estate specifically, that also means feeding it property content people genuinely want to watch, not just a static image with a phone number.
If your campaigns feel like they used to perform better a year or two ago, this is very likely part of the reason. The platform changed under you. Understanding that is the first step to actually fixing it. If you want help rebuilding your Meta Ads strategy around how the platform actually works now, talk to us about your lead generation campaigns.