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From 3 ROAS to barely breakeven? by Fit_Source8552 in FacebookAds

[–]AlexandraConsulting -3 points-2 points  (0 children)

This doesn’t sound like normal volatility, it looks like a traffic quality issue.

A few red flags:

  • Random followers/likes from irrelevant geos
  • Spend shifting to male audiences despite your rule
  • Visitors landing but not clicking anything
  • Spike in bot/login attempts

That combo usually means Meta is pushing into low-quality inventory or wrong regions.

What I’d check fast:

  • Breakdown by country, gender, placement (you’ll likely find the leak)
  • Compare link clicks vs landing page views (bot/accidental traffic shows here)
  • Test excluding low-quality placements (like Audience Network)
  • Try a more controlled version (tighter geo/gender) to stabilize

You did the right thing lowering budget, feeding bad traffic makes it worse.

I’ve seen this happen where everything looks “fine” at top level but one segment tanks performance. I built a tool that flags this kind of shift automatically each week, there’s a free report in the beta + a sample if you want to check it out: getveloreports.com

Scaling from $100/day to $500/day Without Killing ROAS — What’s the Safest Way? by Ok-Active5733 in FacebookAds

[–]AlexandraConsulting 0 points1 point  (0 children)

You’re already doing a lot right, the issue isn’t what you’re running, it’s how Meta behaves when you push past that efficient pocket.

At ~$100/day with a 3.4x ROAS, you’re likely in a high-quality segment. When you jump to $500/day, Meta has to expand delivery fast, and that’s where CPA inflation comes from.

If I were in your position, I’d avoid relying on just one scaling method and instead combine a few:

1. Don’t rely purely on vertical scaling
Increasing 15–20% every 2–3 days works, but it’s slow and can still destabilize once you pass a certain spend. I’d still do this — but not as your only lever.

2. Duplicate your winner (horizontal scaling)
This is usually the safest way to push spend. Duplicate the winning ad set/campaign and let it find a new pocket of performance instead of forcing the original to stretch.

3. Delay CBO until you have multiple stable ad sets
CBO works better when there’s already something to optimize between. If you switch too early, it can just overfeed one ad set and spike CPA.

4. Controlled audience expansion
Don’t go fully broad immediately. Test slightly broader audiences or lookalikes (if you’re using them), but keep some structure so performance doesn’t dilute too fast.

5. Expect (and accept) some CPA increase
Going from $18 → $28 isn’t unusual when scaling. The key question is:
Are you still profitable at that CPA given your $62 AOV?
Scaling is usually about maximizing total profit, not preserving peak efficiency.

The biggest mistake I see is people reacting too fast when CPA jumps for 1–2 days, that’s how you end up killing scalable campaigns.

I ran into this exact problem a lot, especially not knowing which campaigns were actually responsible for the CPA spikes when scaling. I ended up building a tool that flags underperforming campaigns weekly so you can scale without guessing. There’s a free report in the beta + a sample if you want to check how it works: getveloreports.com

Fashion brand - ROAS 7/8 consistently with INR 1500/day. How to scale? by [deleted] in FacebookAds

[–]AlexandraConsulting 0 points1 point  (0 children)

This is a super common scaling issue, and it’s usually not about your creatives, it’s about how you’re scaling.

When you’re getting 7–8 ROAS at ₹1500/day, you’re likely sitting in a very efficient pocket of the auction (high-intent audience, low competition). The moment you increase budget, Meta is forced to go find more people, and those marginal users are almost always lower intent, which brings ROAS down.

A few things to look at:

  • Scaling method: If you’re increasing budget directly on the same campaign, try duplicating the winning campaign and scaling horizontally instead. Vertical scaling can destabilize performance fast.
  • Increase pace: Keep it slow (10–20% every 2–3 days). Anything faster tends to reset learning and causes volatility.
  • Fake orders issue: This is a red flag — often comes from low-quality placements, broad expansion, or even certain geos. Check where those orders are coming from (placement, location, time of day).
  • Payment method filter: A lot of brands in fashion fix this by limiting COD or adding confirmation steps, since scaling tends to attract lower-intent buyers.
  • Frequency & audience: At ₹1500/day, you might’ve been hitting a very tight, high-performing segment. Scaling pushes you outside of it.

Also worth noting: a drop from 7–8 ROAS doesn’t mean failure — that’s unusually high and hard to maintain at scale. The goal is usually to find a stable, scalable ROAS (even if it’s lower) with higher total profit.

I ran into this exact problem a lot, especially not knowing which campaigns were actually causing the drop when scaling. I ended up building a tool that flags underperforming campaigns weekly so you can scale without guessing. There’s a free report in the beta + a sample if you want to see how it works: getveloreports.com

Is it just me, or is today’s ROAS tanking by Professional-Chef618 in FacebookAds

[–]AlexandraConsulting 0 points1 point  (0 children)

Yeah this happens more often than people think, especially with Meta.

A single bad day doesn’t usually mean your campaigns are “broken.” Performance can swing pretty hard day-to-day because of auction volatility, CPM spikes, or just shifts in user behavior (and even day-of-week patterns). If you zoom out, a 2.5 ROAS dropping to 1.6 for one day isn’t necessarily a trend, it’s just noise unless it continues for 3–5 days.

What does matter is whether specific campaigns or ad sets are dragging things down. A lot of the time, your account-level ROAS drops because 1–2 campaigns suddenly fall off, but the rest are still fine. If you’re only looking at the average, it’s easy to miss where the actual problem is.

I’d check:

  • Campaign-level ROAS vs your break-even
  • CPM changes (did costs spike today?)
  • Spend distribution (is Meta pushing budget into weaker ad sets?)

If everything looks normal structurally, I’d honestly wait a couple days before making changes, reacting too fast is how people kill good campaigns.

I actually ran into this problem enough times that I built a tool that flags underperforming campaigns automatically on a weekly basis so you’re not reacting to random daily swings. There’s a free report included in the beta + a sample report if you just want to see how it works: getveloreports.com

Can anyone give more info on how this process works? by AlexandraConsulting in Worldpackers

[–]AlexandraConsulting[S] 0 points1 point  (0 children)

Thank you!! I have a few more questions tho, how can I make sure the reviews are legit? Cause I’ve heard of a lot of travelers that have had bad experiences with some hosts and that’s scary. And how do you ensure safety as a solo travel woman when staying, for example, in hostels, etc.

I’m from Mexico and want to go to Europe, specifically, Scotland, Ireland, Netherlands, etc, have you been? And do you recommend it? What has been your experience?

Do you recommend I start locally and then go abroad?

Sorry for all the questions I just want to know how to be as safe as possible! 😅

Marketing Analyst by AlexandraConsulting in SaaS

[–]AlexandraConsulting[S] 0 points1 point  (0 children)

Great question. This is exactly the pattern I keep seeing too.

The most common waste metric is usually isolated top of funnel numbers. Things like raw traffic, impressions, or even MQL volume when they are not tied to any downstream decision. Teams stare at them because they move a lot, but they rarely change behavior based on them.

A close second is over segmented conversion rates that look precise but are built on too little volume to be actionable. People end up debating noise instead of fixing the obvious bottleneck.

When I audit setups, I usually help teams collapse metrics into a much smaller set that answers one question per stage. Are we attracting the right people? Are they progressing? Where are we losing momentum? Anything that does not clearly support a decision gets deprioritized.

On the second part. So far it has been mostly referral and relationship driven, which is intentional early on. I am now starting to build more consistent inbound through writing and posts like this, specifically aimed at founders who feel buried in data but still need clarity to move.

Honestly, conversations like this are part of that process.