Oct 7, 2026 · 17 min · 8 segments
FREE: the tools and templates to become an indispensable marketer: indispensablemarketer.com/free/ There's a rule at Disruptive Advertising: never push campaign changes live on a Friday. It exists…
Jacob BaadsgaardGuestChad de LisleHostSo in a lot of ways, A data funnel is the reason that disruptive advertising even exists.
They are looking at channel-specific performance, and usually those metrics are at a very high level.
Things like click-through rates and cost per lead, and not really getting into that level of specificity.
So when it comes to the data funnel, what's important? Because there is all kinds of data.
But what's actually important when it comes to just distilling what matters most?

Well, I love all the conversations that we've had layer nicely into this because if you define your target customer well, you architect the journey that you want to take them through, the data funnel is just how you're going to measure each stage of that journey.

And because of privacy laws and data capture, it's actually become more opaque than clear recently.

And so you may not have as much visibility as we've even had in the past as marketers.

How many impressions are we getting at the awareness level? How much engagement are we getting to demonstrate interest? How many are going from interest to actually considering and getting to different pages on the website? And with e-commerce, it's a little bit more straightforward because the transaction and the sale happens on the site.

But what most marketers aren't doing there is they're not actually tying it into repeat purchases.

They're not tying it into refund rates, return rates, those types of things as well.

On the lead gen side, whether it's B2B or B2C, they're not actually fully getting end to end to say like, these are the ones that are actually driving paying customers.

These are the ones that are driving customers that pay and buy multiple times or the ones that refund and don't end up working out long term.

And so at each stage of the customer journey that's theoretically been mapped at this point, you just say, what's the volume metric I'm going to capture? And then what's the conversion metric that would show me how effectively we got them from this stage to this stage? And like you said before, most marketers are doing this at a channel-only level, and they don't actually understand how their funnel is performing overall.

And when you architect it this way, what it allows you to do is when performance is not working or is not achieving goals, you can immediately look at where in the funnel are things breaking down.

And then I can zoom in and understand exactly what's going on there and go have the same conversation that I did, which is it worked or it didn't work.
So in a lot of ways, A data funnel is the reason that disruptive advertising even exists.
They are looking at channel-specific performance, and usually those metrics are at a very high level.
Things like click-through rates and cost per lead, and not really getting into that level of specificity.
So when it comes to the data funnel, what's important? Because there is all kinds of data.
But what's actually important when it comes to just distilling what matters most?

Well, I love all the conversations that we've had layer nicely into this because if you define your target customer well, you architect the journey that you want to take them through, the data funnel is just how you're going to measure each stage of that journey.

And because of privacy laws and data capture, it's actually become more opaque than clear recently.

And so you may not have as much visibility as we've even had in the past as marketers.

How many impressions are we getting at the awareness level? How much engagement are we getting to demonstrate interest? How many are going from interest to actually considering and getting to different pages on the website? And with e-commerce, it's a little bit more straightforward because the transaction and the sale happens on the site.

But what most marketers aren't doing there is they're not actually tying it into repeat purchases.

They're not tying it into refund rates, return rates, those types of things as well.

On the lead gen side, whether it's B2B or B2C, they're not actually fully getting end to end to say like, these are the ones that are actually driving paying customers.

These are the ones that are driving customers that pay and buy multiple times or the ones that refund and don't end up working out long term.

And so at each stage of the customer journey that's theoretically been mapped at this point, you just say, what's the volume metric I'm going to capture? And then what's the conversion metric that would show me how effectively we got them from this stage to this stage? And like you said before, most marketers are doing this at a channel-only level, and they don't actually understand how their funnel is performing overall.

And when you architect it this way, what it allows you to do is when performance is not working or is not achieving goals, you can immediately look at where in the funnel are things breaking down.

And then I can zoom in and understand exactly what's going on there and go have the same conversation that I did, which is it worked or it didn't work.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.