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0:00 Intro
0:39 Using Northbeam to Analyze First Click vs Clicks Only to Boost Omnichannel Marketing
5:01 Need help with Google Ads? Get your FREE action plan here: https://sol8.com/ap/
6:40 Using MER and CAC in scaling your business
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Getting into it.
Kasim:Another question.
Kasim:One thing I thought was interesting.
Kasim:so North Beam just rolled out they now have one day benchmarks, which
Kasim:is pretty cool because, A lot of us have used North Beam and we're
Kasim:doing that calculation manually.
Kasim:So they have that actually, they just rolled out subscription
Kasim:capabilities too, which is pretty cool.
Kasim:But to, you have a point about utilizing a Tip u, utilizing first click.
Kasim:Versus clicks only to see where new customer acquisition is starting
Kasim:when running omnichannel accounts.
Kasim:Do you wanna talk about how you use that?
Kasim:I thought that was really interesting.
Kasim:We've touched on it a little bit.
Kasim:Mm-hmm.
Kasim:Like, we've touched on some parts of it, but how do you specifically do that?
Kasim:Yeah.
Kasim:And so what's interesting is because you're going to look at first
Kasim:click, what I like is that, clicks are always those are reliable.
Kasim:Those are very reliable and it's only because the fact that any
Kasim:third party data analyzing tool like attribution tool is going to need to
Kasim:redistribute data that it can't see.
Kasim:So what I mean by that is it says, okay, I know I have 50 direct users.
Kasim:We don't exactly know where these people came from.
Kasim:There's just, , privacy policy, they had to use app, whatever it may be.
Kasim:We just can't see it.
Kasim:what any tool will do is take those and, model it to what the click
Kasim:data and historical averages and spend amounts have been doing.
Kasim:that's.
Kasim:Fairly accurate.
Kasim:It's not a hundred percent accurate.
Kasim:Nothing ever will be, but a way to get closer to what's actually
Kasim:happening is looking at those first touch points that you know are not.
Kasim:Prospecting heavy channels things like inbound, for example,
Kasim:inbound search, inbound shopping.
Kasim:those things that are identifying where the first touch points are
Kasim:that you know is cold traffic.
Kasim:So when you're looking at first touch, it allows you to identify.
Kasim:The first path of the sequence that you can scale very hard to scale.
Kasim:The second click very impossible to scale the last click.
Kasim:That's why people usually dump a whole bunch in the brand and call
Kasim:it a day and call themselves a good marketer, cuz they only look at roas.
Kasim:. Scaling first touch allows you to identify, okay, if this is
Kasim:a inbound campaign, I don't care that they joined email.
Kasim:I don't care that they came back directly, organically, whatever it may be.
Kasim:Got remarketed by Facebook, remarketed by my own YouTube campaign, doesn't matter.
Kasim:First touch allows you to say, okay, this is where I need to start to
Kasim:push, because regardless of their return path, which is gonna be 75
Kasim:paths long, this is what I can scale.
Kasim:So that's the part that I think is really important.
Kasim:And this is omnichannel.
Kasim:It doesn't matter.
Kasim:it doesn't matter what, platform you're using.
Kasim:So, When you look at the difference between clicks only, which is linear,
Kasim:essentially it's going to divide the clicks up by multiple channels.
Kasim:That's okay, but where do they first click?
Kasim:And lemme just grab the platform here.
Kasim:There we go.
Kasim:So when you're looking at Google, for example, taking the first time versus
Kasim:returning customers and changing it from clicks only to first touch.
Kasim:I have multiple monitors here, so sometimes I'll, Put 'em together
Kasim:and I'll be able to identify the deltas between the two.
Kasim:I'll use first clicks on one view.
Kasim:I'll use clicks only on the other one and see what the differences is and
Kasim:anything that usually has a lower cac.
Kasim:First time on on clicks, you can push there.
Kasim:for example, this should be pretty simple now to adjust.
Kasim:So the feed only one is getting 26 first touch and 21 clicks only.
Kasim:Okay, so the first touch point that was able to be seen by Nor Beam is $5 higher.
Kasim:Good.
Kasim:That's still lower than my average.
Kasim:This is using cold traffic.
Kasim:Targeting is trying to keep my standard.
Kasim:Shopping is doing good, so that's where you'll look at the clicks only
Kasim:versus First Touch Standard Shopping.
Kasim:This pillowcase, 78 clicks only First Touch 80.
Kasim:Okay.
Kasim:This is not always the first path in the sequence.
Kasim:This went higher.
Kasim:So looking at what is the lowest first touch and looking at, is it
Kasim:cold traffic and is it scalable?
Kasim:That's where you real reallocate your ad spend.
Kasim:If you're looking at linear, you can't scale.
Kasim:Linear can't scale that.
Kasim:You can only scale where the interest is coming from.
Kasim:That you can confirm is non brand cold traffic.
Kasim:So flip flop in the two will say, is it good because it's.
Kasim:Multiple paths.
Kasim:Okay, that's fine.
Kasim:But is it also good on first touch?
Kasim:Good.
Kasim:Now you'll have the first touch, the seven touch, and then an organic
Kasim:return traffic that was gonna convert.
Kasim:Perfect.
Kasim:That's your conversion path that you're starting to push into.
Kasim:Yeah, I mean, that kind of thing is, insane in reference to.
Kasim:Just having more control.
Kasim:I mean, just, just like it's, it continues to be what you're talking
Kasim:about, which is just more information.
Kasim:and I mean, I'm a client, I want an that's incredible information.
Kasim:Mm-hmm.
Kasim:to know that it goes across all channels.
Kasim:We've worked very closely with all of the advertisers inside of businesses
Kasim:and I'm like, Hey, first touch on inbound demand for this is doing good.
Kasim:Take Facebook and start to push the demand's there.
Kasim:We just need to sync.
Kasim:So it's great.
Kasim:Yeah.
Kasim:I mean, so taking, kind of continuing the idea of of control.
Kasim:So you've talked a lot about m e r how do you use e r to track scale for
Kasim:these top of funnel campaigns for like YouTube instead of clicks and views?
Kasim:I mean, Because there's obviously inherent loss of attribution
Kasim:in some of those channels.
Kasim:Yep.
Kasim:And it's also gonna kind of cover like two things, I guess I would say.
Kasim:One is me r, but the other one is also gonna be specific me R
Kasim:goals or CAC goals or ROAS goals.
Kasim:you'll see that it doesn't matter.
Kasim:And that's what what's really interesting is top line is
Kasim:the only thing that matters.
Kasim:This is year over year performance for one of our clients.
Kasim:It's the 12th through the 12th, so last 366 days, I added a day.
Kasim:It's okay.
Kasim:So last year over year performance, what you'll see here is that
Kasim:our cost total increased by 22%.
Kasim:Our revenue increased by 37%, so we got 12% better growth year over year with 20%
Kasim:growth year over year with a 10% less cac.
Kasim:Facebook stayed the same.
Kasim:Facebook, we didn't add a dime to it.
Kasim:It's the person kind of doing it themselves.
Kasim:They don't really know what they're doing.
Kasim:they're happy with just kind of hanging tight and doing the same thing they've
Kasim:been doing for the last five years.
Kasim:And I said, I'm gonna go elsewhere.
Kasim:That's fine.
Kasim:you'll see that Google Ads got better, it increased by 20%.
Kasim:M e r, that's not much of what I was doing.
Kasim:I'm still using Performance Max.
Kasim:I'm still using standard Shopping.
Kasim:Like, it's been a fairly similar strategy.
Kasim:The only thing that we've actually introduced is YouTube.
Kasim:So you see YouTube went up a thousand percent to 36,000 this last year.
Kasim:three grand a month in YouTube.
Kasim:Now it looks like this is failing.
Kasim:Right?
Kasim:A 1.57 is way worse than Facebook, way worse than Google,
Kasim:way worse than everything else.
Kasim:Mm-hmm.
Kasim:But because we're using clicks and views or clicks, only I.
Kasim:Both linear models, this is being heavily reduced because it is saying,
Kasim:Hey, they see a YouTube ad and then they go through Share a Sale because
Kasim:they Google this brand's coupon code.
Kasim:They come in through other, which we can't identify.
Kasim:They join the email list and then they convert Facebook remarket them.
Kasim:People started to get picked up on the Refersion and then Google
Kasim:Ads got better brand and we won.
Kasim:Great.
Kasim:We won.
Kasim:I don't care.
Kasim:This is a 1.57.
Kasim:The client, I love this client, they wouldn't do it, but a client
Kasim:calls me and said, you know what?
Kasim:I don't like YouTube.
Kasim:I'd be like, I'm not doing it.
Kasim:You have to fire me.
Kasim:If you wanna cancel this, I'm not doing it.
Kasim:Mm-hmm.
Kasim:So that's where we're looking at top line where everything gets helped.
Kasim:We had 40% new users where Google didn't.
Kasim:Google got less.
Kasim:Google Ads had less and more visitors.
Kasim:We got 40% newer users for 35% more transactions.
Kasim:So the only thing that we did year over year different was add three grand a
Kasim:month on YouTube and it helped everything.
Kasim:But it got a 1.57 roas.
Kasim:I don't care.
Kasim:that's diluted.
Kasim:It actually probably got a four, but it hit three other channels.
Kasim:Right, right, right.
Kasim:Yeah.
Kasim:It's part of, it's part of the overall path.