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September 8, 2025 7 mins

Meta keeps popping “helpful” tips in Ads Manager, but should you trust them?

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I show a real example, explain my rule for the first three full days (let the algorithm learn), and share when I start turning things off on days four and five. 

I share how I decide whether to keep or kill an ad set, plus a quick way to spot bad recommendations so you don’t waste budget. If you want to see the screenshots I’m talking about, watch the episode on YouTube.



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‍‍Watch this episode on YouTube!


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Please click here to give an honest Rating/Review for the show on iTunes! Thanks for your support!



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Kwadwo [QUĀY.jo] Sampany-Kessie’s Links:

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Transcript

Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
So if you're running your ads and you've been asking
yourself, like Quajo or self,should I listen to Meta's advice
and what would you do, or whatwould Quajo do in this situation
, I'm going to show you some ofMeta's advice right now that I
would not listen to, based onthe context, I'm going to share

(00:20):
with you and explain to you howto make the decision if you see
this exact same suggestion.
All right.
So right here, I am in a clientaccount and I wanted to turn
off an ad set and Meta popped upthe advice saying keep this
campaign on and performanceshould improve.

(00:41):
How incredibly confusing.
Oh, by the way, pause, I knowyou're listening right now and
thank you, but go to the YouTubechannel.
The link is in below so you cansee this episode visually.
This is a visual episode whereyou'll want to see the ad
manager screenshot that I haveso you can look at the numbers
that I'm pointing to.

(01:01):
All, right back to the episode.
So the context is is that thisad set has 14 leads at $5.36 per
lead and I went to turn it off.
Now Meta says keep it onbecause we're still trying to
learn over here.
All right, so what would I do?
I'm gonna turn it off becausethese ad sets have been running

(01:22):
for four complete days Now.
This is crucial.
Why would I turn it off nowwhen Meta's saying performance
could improve?
Well, one, I doubt performancewill improve that much if the
ads have been running for fourcomplete days Now.
If you are testing your ads outin the beginning, here's a
strategy that I always use andthis will give you lots of

(01:43):
context.
When I turn ads on, I see thefirst three complete days as
time that the algorithm shouldbe doing its learning to figure
out who to best show the ads towithin the targetable audience
that I have chosen.
The analogy you should think ofin your mind is a partner dance.
Now, I live down here in Mexico, so I'm thinking of Latin

(02:06):
partner dances like bachata ooh,sensual or salsa or I don't
know.
It takes two to tango becauseI'm a dad so I get some dad
jokes, okay, and you don't wantto overlead or forcefully lead
or be that partner that's alwaysthrowing your other partner
around, unless you're doing likeswing dancing and you're

(02:27):
supposed to throw your partneraround.
But you know what I mean.
You don't want to be thepartner, the dance partner that
the other partner hates that thefollow hates, and so when
you're managing your ownFacebook and Instagram ads as an
ad manager, you well, becauseyou are managing your ads.
So, even if you don't seeyourself as a professional ad
manager, you are the onemanaging your ads, and I am an
ad manager since like five orsix years now.

(02:48):
But we, our partner, as peoplewho are managing ads, is the
algorithm, and you have to givethe algorithm time to do its
thing, okay, so I usually givethe algorithm three complete
days to optimize, to learnwithin the targetable audience
that I have chosen before Istart tinkering.

(03:09):
Alright, so the context here isthe ads have been running, as
you can see on the screen, forlike four complete days and I'm
on day five now.
If it's like day two,definitely, as an ads manager, I
try not to touch the adsbecause ad costs, yes, can swing
up and down on the second day.

(03:30):
So if I see an ad that's quiteexpensive or comparatively more
expensive than the other ads or,in this case, ad sets that I'm
running, then I'm not going totouch it on day two.
Maybe on day three I will gointo a more expensive ad set and
turn off some ads, but I'm notgonna start pulling out arrows

(03:54):
from my quiver of ad managementstrategies and pulling those or
shooting those arrows, so tospeak, energetically,
analogy-wise whatever word youchoose is up to you until like
day five on the first ad setthat I launch Okay, all right,
or the first sets of ad setsthat I launch.
So, coming back around, before Igive you that answer, let me

(04:16):
say if you don't yet know how toreduce your ad cost and still
get the highest quality lead,I'm talking about the same exact
framework that I use time andtime again inside of client ad
accounts to set up differentversions of ad copy and test
those with different visuals inthe best way possible.

(04:38):
That is called the ad testingcheat code and it's a great.
Everyone deserves, includingyou, to have the lowest possible
costing leads and still get thehighest possible lead cost.
Go get that.
It's a low-cost course and itwill pay you back over and over

(04:58):
and over and over again, becauseyou only have to learn and
practice this technique, thisframework, once or twice and
then you reap the benefitsforever, as long as you are
practicing ads.
That's in the show notes below.
All, right back to what I wassaying.
Now, if I saw this $5.36 priceor cost per lead on day two and

(05:25):
I saw other cost per leads at$1.32 or $2.09,.
I would leave it on becausethat cost could definitely swing
lower, but seeing this on dayfive, after four complete days,
I'm going to shut it off anywaybecause, after all that time,

(05:46):
the total number of leads thathave come in 407 leads.
After all that time, the totalnumber of leads that have come
in 407 leads.
After all that time, thealgorithm has definitely learned
, even though Meta will give methe advice saying it hasn't
learned.
So here's how you criticallyapproach in your own ads.
If you see this advice, are weon day one, two or three, or are
we on like day four or day fiveand beyond?

(06:09):
If we're on the first threedays of an ad set having
launched and we see that messagefirst three days, okay, don't
turn it off.
Yet If it's like day four, dayfive, day six and onward, from
after you've started a series ofad sets, yeah, probably don't
listen to it.
And of course, this is rightnow, in 2025, this kind of

(06:30):
advice If you're listening tothis podcast, please go over to
YouTube right now so you can seeexactly what I am referring to
Okay, and it's 2026 or later on.
Maybe Meta has had a lot moredata with which to learn on and
better deliver this advice, butright now, as an ad manager, I'm
giving you the exact strategyand context that I would use to

(06:53):
interpret this advice on thescreen.
Please leave a review on ApplePodcasts if you're an Apple
Podcasts listener, so I know howthis episode has helped you or
this Facebook and Instagram adsfocus is helping you.
That review really helps me.
As for feedback, deliver bettercontent for you, the listener,

(07:17):
and it helps the algorithm pushthis episode to people who need
it.
Take care, be blessed and seeyou in the next one.
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