How To A/B Test Your Meta Ads Creatives (+ Free Cheat Sheet)
Summary
TLDRIn this informative video, SED from Vertex Marketing Agency shares a step-by-step guide on AB testing Facebook ads in Ads Manager. He discusses the agency's process for testing creatives, common questions like test duration and handling winners and losers, and emphasizes the importance of generating and refining ad ideas. The video provides insights on ad account setup, the benefits of using broad audiences, and a detailed manual AB testing method, including campaign structure, budget optimization, and monitoring strategies to identify and scale winning ads.
Takeaways
- 😀 AB testing is crucial for generating new ideas and optimizing Facebook ad performance.
- 📊 The speaker prefers manual AB testing over Facebook's built-in feature due to flexibility in managing test duration and momentum.
- 🎯 For effective testing, use a broad audience targeting to ensure a wide reach and easy scalability.
- 📝 Maintain consistency with the main campaign's objective when setting up a testing campaign to facilitate easy duplication and comparison.
- 🔢 Utilize ad set budget optimization to control spending on individual tests rather than campaign budget optimization.
- 📈 Start with a minimum of two and a maximum of six ad variations per ad set to ensure sufficient testing without overwhelming the analysis.
- 🔑 Test variations should focus on a single variable at a time, such as different hooks or headlines, to identify clear winners.
- 🚫 Avoid mixing different types of creatives in the same ad set to prevent skewed results.
- 🕒 Monitor new ads for at least 5 days to gather enough data for an informed decision on ad performance.
- 🏆 Identify and duplicate the best-performing ads from the testing campaign into the main campaign to capitalize on their success.
- 🔄 Continuously create new ad sets with fresh creatives to keep the testing process dynamic and iterative.
Q & A
What is the primary focus of the video?
-The primary focus of the video is to demonstrate how to AB test Facebook ads in Ads Manager, covering the process used by the agency to test creatives and answer common questions about the testing process.
What does the speaker suggest is their favorite part of managing Facebook ads for clients?
-The speaker suggests that their favorite part of managing Facebook ads for clients is the AB testing aspect, as it involves generating new ideas and testing them to see if they are effective.
What is the significance of using a broad audience in the AB testing process?
-Using a broad audience in the AB testing process is significant because it allows for targeting a specific geographical area without narrowing down the audience too much, making it easier to scale and test different creatives effectively.
Why does the speaker recommend against using the built-in AB testing feature in Facebook Ads Manager?
-The speaker recommends against using the built-in AB testing feature because it requires setting a start and end date, which can limit the ability to continue running successful tests and can disrupt the momentum of performing ads when moved to a main campaign.
What is the recommended number of ad variations per ad set during AB testing?
-The recommended number of ad variations per ad set during AB testing is between two and six, to ensure enough testing without overwhelming the analysis with too many variables.
Why is it important to keep the engagement from a performing ad when moving it to the main campaign?
-Keeping the engagement from a performing ad is important because it retains social proof in the form of likes, comments, and shares, which can boost the ad's performance and provide valuable insights from the testing phase.
What is the recommended approach to scaling a successful ad set?
-The recommended approach to scaling a successful ad set is to gradually increase the budget every two days by about 20% as long as the ad continues to perform well, based on the cost per result or other relevant metrics.
What should be done with the ads that are not performing well in the testing ad set?
-Ads that are not performing well in the testing ad set should be paused after a sufficient testing period and enough data has been gathered to make an informed decision.
How long should an ad be monitored before making a decision about its performance?
-An ad should be monitored for at least 5 days, depending on the sales cycle, to gather enough data to make an informed decision about its performance.
What is the main reason for avoiding mixing different types of creatives in the same ad set during AB testing?
-Mixing different types of creatives in the same ad set can lead to unequal comparisons and make it difficult to accurately determine which elements of the creative are contributing to its performance.
What is the purpose of the provided cheat sheet mentioned in the video?
-The purpose of the cheat sheet is to provide a quick reference guide for AB testing creatives, ensuring that viewers follow all the necessary steps and can easily reference the process during their own testing.
Outlines
😀 Introduction to AB Testing on Facebook Ads
The speaker, SED from Vertex Marketing, introduces the topic of AB testing for Facebook ads within the Ads Manager. The video aims to demonstrate the agency's process for testing creatives and answering common questions such as test duration, handling winning and losing ads, and the importance of generating and testing new ideas. The speaker emphasizes the significance of AB testing in ad management and shares a personal preference for testing, suggesting it's a key part of their job that involves creating, testing, and scaling effective ad strategies.
📈 Setting Up the Ad Account for AB Testing
The video script explains the typical ad account setup used by the agency, which includes a main campaign for the majority of the budget and broad ad sets for targeting specific countries or cities without additional audience restrictions. The speaker discusses the evolution of targeting strategies, moving from lookalike audiences to broader ones due to advancements in Facebook's ability to understand ad content and customer demographics. The script also covers the benefits of using a broad audience for easier scaling and testing, and provides a walkthrough of the ad account structure, including the creation of testing campaigns and the manual approach to AB testing as opposed to using Facebook's built-in AB testing feature.
🛠 Detailed Steps for Creating a Testing Campaign
The script outlines the process of setting up a new campaign for AB testing, emphasizing the importance of aligning the campaign objective with the main campaign to facilitate the transfer of successful ads. It discusses ad set budget optimization versus campaign budget optimization, advocating for the former to maintain control over budget allocation among different ad sets. The speaker also explains the selection of a broad audience for testing to ensure a large enough pool for accurate results and to avoid overlap with retargeting audiences in the main campaign. The paragraph concludes with advice on naming the ad set and considerations for the number of variations to include in each ad set.
🎯 Crafting Ad Variations and Launching the Test
This section of the script focuses on creating multiple ad variations within an ad set, recommending a range of two to six ads to test different hooks, headlines, or video lengths while avoiding mixing different types of creatives. The speaker advises against combining various ad formats in the same test to maintain a fair comparison. The script then moves on to the launch and monitoring phase, suggesting a 5-day monitoring period post-launch to gather sufficient data before making any decisions. It also touches on the importance of understanding the sales cycle and adjusting the monitoring period accordingly.
🏆 Analyzing Results and Scaling Winning Ads
The final paragraph of the script details the process of analyzing the results of the AB test, identifying the top-performing ads, and deciding whether to incorporate them into the main campaign. It discusses the criteria for determining a winning ad, which includes comparing its performance to the worst-performing ads in the main campaign. The speaker shares strategies for scaling successful ads by gradually increasing the budget and monitoring performance over time. The script concludes with a reminder to continually monitor winning ads and to repeat the AB testing process with new creatives to maintain an effective ad strategy.
🎉 Conclusion and Additional Resources
The script concludes with a brief mention of additional resources, specifically a cheat sheet available in the video description, which viewers are encouraged to download for reference during their AB testing process. The speaker reiterates the importance of the steps covered in the video and bids farewell to the audience.
Mindmap
Keywords
💡AB Testing
💡Facebook Ads Manager
💡Creatives
💡Campaign Objective
💡Ad Set
💡Broad Audience
💡Budget Optimization
💡Lookalike Audience
💡Testing Campaign
💡Scaling
💡Winner
Highlights
Introduction to AB testing Facebook ads using the same process as Vertex Marketing Agency.
Importance of AB testing in generating and refining creative ideas for ads.
The presenter's preference for testing and its role in managing Facebook ads for clients.
Explanation of using broad audience targeting in Facebook ads for better scalability and testing.
Advantages of broad audience targeting over lookalike audiences in current Facebook ad strategies.
Details on setting up a typical ad account with a main campaign and multiple ad sets.
Manual AB testing preference over Facebook's built-in AB testing feature due to flexibility.
Instructions on creating a new campaign for AB testing with the same objective as the main campaign.
Importance of keeping the campaign objective consistent when duplicating successful ads.
The role of adset budget optimization in controlling spend and testing different ads effectively.
Guidelines on structuring the testing campaign with appropriate naming and broad audience selection.
Recommendation on the number of variations per ad set, ranging from two to six for effective testing.
Strategies for creating different creative variations to test within the same ad set.
Advice against mixing different types of creatives in the same ad set for accurate testing.
Process of launching and monitoring ads for a minimum of 5 days to gather sufficient data.
Method for identifying the best performing ads and deciding whether to scale, duplicate, or pause them.
Emphasis on continuous monitoring and optimization of winning ads within the main campaign.
Final thoughts on the rinse and repeat process of AB testing to continually refine ad performance.
Transcripts
hey everyone SED from vertex marketing
agency and in this video I'm going to be
showing you how to AB test your Facebook
ads in ads manager and I'm going to show
you the exact same process that we take
in our agency to test creatives and
answer some of the common questions like
how long should I leave a test running
what do I do with my winners what do I
do with my losers and a lot more and I
thought actually this video would be the
perfect time to wear my this t-shirt so
I'd rather be a testing cuz it's true to
be honest that's probably my favorite
part about my job which is you know
managing uh Facebook ads for clients is
the AB testing set of things and I think
that's also the most important part
because it's really all about generating
new ideas like with creatives and copy
and implementing on those ideas right so
getting those let's say those ugc videos
those images and just going in ads
manager and testing them and hey was it
a good idea or was it a bad idea if it's
a bad idea you learn from it so that you
Tred to put those ideas on the side and
just think about the good ones in the
future but then if it's a good idea
perfect you scale that and then you
think huh like how how could I replicate
this or how could I create something new
that is similar to this and it's like a
loop you just want to keep repeating
that process but it all starts by
knowing how to AB test and how to really
structure everything and that's exactly
what I'm going to be showing you in this
video okay so I am now Inside My Demo ad
account and I first want to talk about
the typical ad account account setup
that we usually will Implement for
client so we will always have like a
main campaign and that main campaign
that well that's the one receiving the
majority of the bud buget um and inside
that main campaign usually we'll have
like maybe one two to three different
ads sets but like 99% of the time we
will have a broad adset and what does
broad mean broad just means that we're
just selecting the specific let's say
country or maybe states that we want to
Target or if it's local advertising
we'll select the city um and we actually
don't include anything else in the
audience but instead we do the targeting
with the ad so now with the advancement
in technology Facebook can actually just
understand a your copy but B your image
and your video and the lending page and
really just understand what you're all
about what you do and who your customers
are and because you have tracking set up
and you're sending let's say a lead
event or a purchase event back to
Facebook it knows exactly who your
customers are so by using this
information they can just go ahead and
kind of like create your own lookalike
audience which that's what we really
used to do like back in would say 2019
is we would create you know lookalike
audiences but now those tend to not work
as well as something as like a broad
audience so that's number one um and
then another reason why we like the
broad audience is because once you can
make it work with the broad audience is
really easy to scale because you don't
have a limit with the frequency I mean
if you do it's more of like an issue
with Facebook meaning like you're
spending just way too much and Facebook
just doesn't have a big enough audience
for you which at that point you know
like that's a whole other issue so
that's why we really like the broad
audience and and it makes it also really
easy to test but I'll get into that in
just a second I just want to show you
kind of like what the typical add
account structure will look like I'm not
saying that everyone just only gets one
campaign one adset but usually the
majority of the budget is going to go
towards that main campaign um but it
doesn't mean that we don't have like
another campaign like doing like a
catalog sales or other specific type of
campaign maybe targeting specifically
like different countries and we just
want to have those separate again what
I'm saying is most of the time there's
going to be one campaign in your at
account that is receiving the majority
of the budget um and that's what we call
like a main campaign but with that being
said now let me show you how you would
go ahead and structure that uh testing
campaign so now creating your testing
campaign there's a few different ways of
doing it I actually like to create just
a brand new campaign and doing it a
little bit more manually uh but if you
talk to like a meta specialist they
would probably say or refer you to this
feature right here which is AB testing
but I'm personally not a big fan of that
and I've talked to a lot of other
advertisers and you usually have the
same opinion and the reason I'm not a
big fan of the ab test feature here is
because once you create it you have to
set a start and an end date and what I'm
going to show you is if ever your ad set
or really your test is performing well
like well don't pause it and then a meta
specialist will usually say well yeah
just pause it and bring that inside your
main campaign and you know the ad is
going to be running there just with
experience and also if you have
experience running Facebook ads you'll
notice often that your test might
actually perform really well in your
testing campaign but once you bring it
inside your main campaign it doesn't
have the same momentum that it had
inside your testing Campaign which is
fine that will happen but that's why you
want to just ideally just keep that test
running for as long as it performs well
and with that feature it just doesn't
really allow you to do that so that's
one of the main reason why I'm not
really a big fan of that feature so I've
made this notion document and this is
kind of like a cheat cheat and uh the
link of this document is going to be in
the description of this video you don't
need to give me your email or to
download anything to get it just click
the link and you'll see it but what
we're going to do is we're going to
follow this cuz that's actually uh what
I follow to AB test are uh creative so
the first thing you want to do Step One
is setting up your campaign so you're
going to go to ads manager you're going
to create a new campaign and the
campaign objective needs to be the same
objective that you have inside your main
campaign um so if you've selected sales
in your main campaign I'm going to
select sales here and that's what I've
done but if you're service based company
in your main campaign you've selected
leads you're going to select leads um
and that's really important because if
you don't select the same objective when
you do find a good test you're going to
want to duplicate that ad to bring it
inside your main campaign and if it
doesn't have the same objective you
won't be able to duplicate it someone
could make the point that okay well just
you know just upload and create that ad
inside your main campaign sure you can
do that but if you do that that's going
to be a different ad ID and I mean at
this point you're kind of losing some of
the learnings that that ad as made um
but then the other thing and with that's
probably for me that least the main
reason is you're losing the engagement
so when you're duplicating an ad uh from
an ads set like your testing ad set to
bring it inside your main campaign if
you uh select select the same campaign
objective and you also select the option
that says keep existing engagement
you're going to be able to keep that
engagement and I mean social proof right
CU you're paying for those likes those
comments and those shares and when you
get ideally good comments it's free
social proof and actually helps it gives
your add a little boost so that's why I
always like to select the same campaign
objective so I'm going to select sales
here and I'll usually just select manual
sales campaign and uh go to the campaign
level here so first thing I say here is
like name your campaign testing so I'm
going to go ahead and do
that testing and then this is going to
really depend on your you know your
business model so are you in a special
ad category credit employment or housing
if you are obviously you want to select
that if not you're going to get your ad
account disabled this here use a catalog
I always turn that off um and then
create AB testing I do not use that
feature so I leave that off I always AB
test my ads manually so the way that I'm
showing you in this video and I do not
use that feature because with this
feature you need to add a start and an
end date so we're not going to do that
and I do not turn this feature on right
so that's actually step uh or Point
number two here budget optimization so
choose adset budget optimization so
adset budget optimization is when the
budget is on the adset this is a
campaign right so we don't want to set
the budget here if I were to turn this
on what would happen is it would allow
me to set the budget on a campaign and
it's fine if you only have one test that
you're running but what I'm going to
show you is how to potentially have like
two or three different adset testing
different types of ads and what that's
going to do if you have this on it's
just going to spend the money on the
adet that has the lowest cost per result
which you might think oh well that's
fine like I want to spend the money
wherever it makes sense yes but if one
ad set has been running for longer than
another ad set that one's going to have
momentum and probably have maybe a a
better cost per result than another ad
set and now that new test that you want
to run to see if it performs better and
every time you're running a new test
that probably means that you think those
ads will perform better than any current
ads that you're running so you want to
at least have a minimum amount of spend
that you can dedicate to that ad set and
have control on potentially increasing
that budget decreasing that budget and
forcing basically a specific amount of
send towards that adset and with
campaign budget optimization right this
option right here it's just not really
going to allow you to do that in the
same way that adset budget optimization
would do so I'm going to turn that off
and uh now we're ready to go on the
adset level so for the adset level I
usually will do this so I'll name this
testing and I'll say Broad and the
reason I'm using a broad audience here
is that inside my main campaign I'm also
using a broad audience I usually want to
look at the results that I'm having
inside my main campaign and compare the
results with the results I'm getting in
my side my testing campaign here but if
in my main campaign I'm using Broad and
here I would you use let's say a
lookalike or retargeting audience that
would mean that I'm not looking at the
same thing right what here I'm testing
and what I'm showing you how to do is
how to abest your creatives if I guess
you wanted to abest audiences then what
you would want to do is you would want
to use the same ads that are inside your
main campaign bring those ads inside
that testing ad set and now only change
the ad set so you have one variable and
that's what I'm a big fan of have one
variable so are you testing the audience
or you testing the creatives most of the
time I am testing the creatives that's
why I'm I'm not you know spending too
much time showing you and talking about
this different like audience variations
I'm going to be talking more about
different creative variation because to
me that's what I found just drives the
most amount of results for like you know
input versus output I will usually use a
broad audience and if you're not using a
broad audience inside your main campaign
make sure that the audience here is
Broad enough so don't have a bunch of
Interest targeting like if they need to
meet this and this and this and this and
this in order to fall in this audience
because that means that the audience
size is going to be a little bit too
small okay so just keep that in mind
and another reason you want to have a
big enough audience is because here I'm
using the same audience I'm using inside
my main campaign and inside your main
campaign you're only doing retargeting
most likely what you will see is an
audience overlap so you want to try to
avoid that as much as you can by using a
big enough audience so that hopefully
there's not an overlap but outside of
that you're going to come here and if
inside your main campaign you're sending
people to your website you're going to
select that option here if you're doing
a website and Shop in your main campaign
you're going to select that option right
so you really want to duplicate what
you're doing with your main campaign on
the adset level right here so you're
going to go ahead and select obviously
the same pixel the same conversion event
all the same settings um and this is
where you set your budget so in terms of
budget it kind of depends on what your
cost per result is so if your cost per
result is really low you can get away
with a lower budget because let's say
you're only spending I don't know $100 a
day in this test and your cost for
purchase is $10 well you know every day
you're going to potentially have about
10 purchases but if you let that run for
about 5 days you're probably going to
have 50 purchases and if you only have
four ads 50 purchases dividing with all
those ads like it's going to give you
enough purchase to be able to clearly
understand and identify a winner right
but since it's a demo I'm just going to
set it to let's say 150 a
day and that's pretty much it in terms
of what I would do in the uh ad set but
obviously if you're targeting United
States you would go ahead and change the
location here but this is demo I'm just
going to leave it to default and for me
that's Canada and again I don't I'm not
changing anything anything else here so
let me let me go back here I want to
talk about number of variations so each
adet should have a minimum of two and a
maximum of six ad set so the reason for
that is just like what I said so if you
have too many uh ads it's going to be a
lot harder for you to actually make a
decision on which ad is actually
performing best because what's probably
going to end up happening is some of
them will not get enough spend for you
to be able to make an informed decision
and you have two little ads then I mean
you're just not testing enough at this
point so you The Sweet Spot is between
two and six and if you want to find like
maybe even a better middle ground for
your company again it depends on your
cost per result and your spend so if
your cost per result is low and your
spend is really high you can probably be
closer to the five or six ad that you're
testing per ad set but if it's the other
way around then you know you probably
want to aim around two or three but
never go below two and I don't recommend
companies to go above six unless you
know you're a really really large
company and you're spending a lot on
Facebook ads um the second thing here
that I'm going to talk about is the
different types of variation so what you
want to do is maybe just try different
hooks so it could be like the first 5c
of the video if it's an image maybe it's
just like the the headline that you're
changing maybe it's a copy so same video
same videos or same images and you're
just trying out different copy so I
usually like to grab like let's say a
video concept or an image concept and
just change a lot of different things
about that image or video to create
different variation but what I don't do
and that's what I explain here I try to
avoid using different types of creatives
inside the same adset let me give you an
example I will not have one video and
then testing two different carousels
because at that point they're different
types of creatives and they're not
really equal but usually what I found is
that carousels when they're mixed with
videos and images they sometimes suck up
all the budget so what you want to avoid
is mixing different types of creatives
together so if you're testing images
like I said test different hooks um test
different colors maybe in the image but
test only images and the concept should
be similar and same thing with videos if
you're if you're testing like let's say
you have a specific video you want to
test just make different versions if
it's a ugc video ask the Creator okay
like record this content but the first
like let's say your hook let's try this
hook that hook and like three different
hooks so now you have three different
versions to test but just stick with
Carousel if that's what you want to test
with that ad set okay so for for step
two create enough but not too much
creatives and I give you different
examples of what to test so it could be
a different headline it could be just a
different hook or it could actually be
the same video but like one video is
longer let's say 55 seconds and the
other one is like cropped to 25 seconds
so you're testing long versus short uh
so those different types of tests you
can make and again the biggest takeaway
here is don't mix and match so number
three is launch and monitor so
everything's good with your ad set and
your ads you're going to go ahead and
and click the launch button what you
want to do is you want for the next 5
days to just monitor your ad just look
and see okay our purchases or our leads
flowing in but you don't want to make
any changes yet and just please note
that the review process or the launch
and monitor process will depend on your
sales cycle so if you have a short sales
cycle then regardless I don't recommend
that you go below 5 days maybe 4 days
would be acceptable if you have a really
really uh short s cycle but definitely I
I I wouldn't really recommend it like
honestly 5 days I think is perfect um
but if you have a longer s cycle then
maybe you want to let the ads that run
for let's say two weeks so it really
depends on your company and if ever you
do have a really long sale cycle and
where it's like maybe you're you're at
the end of the day you're trying to see
if those leads are converting into deals
because you're a service based company
then maybe at that point you're not
optimizing for the deals because that
will take too long maybe you're trying
to like identify how many let's say
valid lead this adet generat right so
you're trying to find maybe a metric
that is closer to let's say the deal
stage but is not really the deal stage
because maybe that just takes too long
and if ever you have an Ecom store where
your product costs I don't know $500 so
there's a long s cycle then again maybe
you want to just wait or wait a little
bit longer or find another metric that
you could use to identify like early
success in an adet or with an ad but
guys that's a launch and monitor stage
identify the winner all right so that's
my favorite part so where what you're
going to do is you're going to go inside
ads manager so let's pretend that this
one has been launched we have my testing
ad set and my regular broad campaign
right both of them have the same
audience and I would just go to the
result tab obviously this demo account
so there's no data but I would look at
how many results they generating but
more importantly what is the cost per
result and if you're in the Ecom space
and maybe you're also looking at things
like the return on ad span right you're
adding that to your view and you're just
kind of looking on the adset level now
which one is performing better if if
your main campaign is performing better
than your testing adset don't give up
yet just go now select your main
campaign and select your testing adset
and you want to go to the ad level and
what you're trying to see here is are
any of my ads that have enough data what
I mean by enough data is inside your
testing adset when you're looking at
your results you want to look at this
and say okay because of my budget and my
cost per result and what I see in let's
say a 5day uh period I can actually
confidently see that this ad or that ad
is actually performing well or maybe who
knows none of them are performing well
right but you need to have enough data
to be confident that okay this was a
good test or this wasn't a good test and
if this was a good test let's say one of
your ad inside your testing ad set is
actually performing better than any of
your ad inside your main campaign what
you're going to do is you're going to
duplicate that ad and you're going to
bring it inside your main campaign and
if ever it did not perform well then
what you're going to do is after the f
day again if it has been enough time and
you're confident about the data you can
go ahead and pause that testing ad set
right and then let's say inside of your
testing ad set you find an ad that is
performing well but when you compare it
to your main campaign it doesn't match
the results of your best ad inside your
main campaign well then the next
question you want to ask yourself is it
better than the worst ad inside my main
campaign if that's the case same thing
here you're going to duplicate that ad
and bring it inside your main campaign
and now the question that I get all the
time is okay Cedric so once I brought
that good ad inside my main campaign
like what do I do now well if the ad is
performing well inside your testing
campaign leave it there right let that
adset run and sometimes what I'll even
do is I'll even scale a testing adset
what I'll do is for as long as it's
performing well every two days I'll go
inside my adset and I'll increase the
budget by let's say 20% and I'll can
just continue scaling scaling scaling um
until I see a drop in the cost per
result or again Ron as Bend depending on
the metric that you're using but don't
pause something that works right don't
try to reinvent the wheel so if ever
testing ad set is performing well leave
that running and you can what you can go
is you can kind of just like monitor it
and that's what actually the the last
step is right here is keep an eye on the
winner so whenever you do find a winner
just keep an eye on it monitor it and if
ever let's say you have three ads that
are performing really well inside your
testing ad set and after let's say 3
weeks let's say one of them stops
performing well but the other two are
still doing well then just pause the one
that is not doing well and you're going
to keep running those two that are doing
well again until they don't perform well
and it's kind of like a rid and repeat
process and that's why I say to use
adset budget optimization and not
campaign budget optimization because I
really wish for you that you find an
adet that performs well and that you're
going to leave running for let's say a
month so for that one month period you
don't want to just have one ad set that
is running because you want to test
other stuff so what you do is you kind
of like rinse and repeat so you would
create another adset and in that adset
it would just be like three or four or
five or six different creatives that
you're testing and you're going to do
the same process that you just did with
the prior ad set right so you let it run
for enough days look at your data is it
a good test or is it a bad test and it's
really uh a Rin and repeat process so
guys that is it for this video um now
hopefully you know exactly how to AB
test your creatives and if ever you want
that cheat sheat again it's in the
description of this video I recommend
that you take a look at it even maybe
like download it and when you're AB
testing just reference that sheet and
make sure that you're following all the
different steps but guys that is it for
this video bye for
[Music]
[Music]
[Applause]
now
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