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Million-Dollar Funnels Aren’t Made With Ads

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Million-Dollar Funnels Aren’t Made With Ads

Having a million-dollar marketing funnel is nothing to scoff at. 

It’s a huge accomplishment that deserves its’ kudos. There’s a lot of automation, dedication, and ideation that goes into making something like that happen.

It’s the type of benchmark that says, “Hey, I was a serious business owner at 6-figures. But now? I turned my serious business into an EMPIRE.”

So listen, if you already have one: congrats, I commend you for the hard work. Feel free to kick back, put your feet up, and hang out.

For anyone looking to scale their funnel to that million-dollar benchmark, you’ll want to take a couple of notes.

But before I get into that, let’s talk about me real quick—just to make sure you know I’m not some random schlub pretending to know a thing or two about marketing.

My name’s Yogev Almog, I’m a marketing consultant and copywriting strategist for 6, 7, and 8-figure brands. 

I’ve written for and consulted on funnels ranging from fitness, coaching, eCommerce, business automation, CPG, financial institutions, telehealth services, done-for-you businesses, chiropractors—name an industry and I’ve likely written something or at the very least given some advice on it. 

And just to put the cherry on top, my work has been a direct contribution to a handful of million dollar funnels. 

So, now that you know a little about me and my credibility, I feel pretty comfortable saying this next part:

If your end goal is simply “The Million-Dollar Funnel,” everything I’m about to say is probably going to upset you. 

In fact, it definitely will. And you know who I’m going to upset the most today? Ad experts. 

Dearest ad expert friends of mine: I love you, truly, I do. I promise this isn’t a shot at you. 

The thing is, entrepreneurs are especially obsessed with social media ads right now.

There’s this instant gratification that comes with an ad campaign because you can pretty easily track where a sale is coming from.

“Person sees ad. Person clicks on ad. Person spends time on site. Person buys.”

You can see how it might get addicting to watch as your phone blows up with sales confirmations but what people tend to be super quiet about is: 

  1. The amount of ad budget you need to kickstart a campaign
  2. All the creative you constantly need to test (Both the visual and written) 
  3. Following community guidelines to make sure your account doesn’t get shut down for saying the wrong thing
  4. The inevitable upward trend of ad spend due to market saturation

Talking about this often makes me think of a conversation I had with a client. 

On a call, she mentioned a competitor of hers in the coaching space who paraded around their million-dollar funnel. 

What’s important to note is this competitor went on a podcast talking about the $1.2 million they made that year but admitted to spending over a million on just ads alone…

…yea, that’s not what you want. 

Don’t get me wrong, loss leaders can be helpful in business, and turning a $200,000 profit is nothing to be ashamed of but the fact of the matter is that’s not $200,000 in profit. 

They still had to pay out employees, cover operating expenses, and ONLY THEN could they pay themselves out…  

…That’s a lot of work just to say you have a million-dollar funnel. 

Still, we see a few industry leaders truly killing it with Meta and Google Ads and all of a sudden that means everyone flocks to it as “the way” for every business to grow. 

Listen, there’s some truth to this. Ads can definitely grow your business and reach audiences you wouldn’t typically have access to. 

And sure, taking a loss on the frontend makes plenty of sense if you’re re-engaging repeat customers or people who didn’t initially buy on the backend—but how many people actually have that dialed? 

How many have figured out exactly what their ideal customer wants with organic traffic before putting money behind paid traffic? 

Ads are great, but only when they’re used the right way and only when you’re ready. 

(There’s nothing wrong with messy action, but if you’re not careful messy can become a disaster.)

And the only way you’re able to do that is if you recognize what is objective truth: ads aren’t THE answer, ads are just a tool—a piece of the bigger picture. 

Once you see that, you’re able to use them more effectively, efficiently, and you put power back into your hands. 

Because when you rely solely on social media ads as your lead and revenue generator, you basically are at the mercy of Meta and how they want to run things. 

So how do you put that power back into your hands and build a business not dependent on ads? You take a step back and look at all the pieces that make a successful million-dollar funnel. 

There Are 3 Key Components To Any Successful Million-Dollar Funnel:

  1. Attention
  2. Affection
  3. Retention 

I can dig deeper into each one of these in a later post but for now let’s just focus on the general idea.  

Attention is simply getting people to notice you. You’re creating awareness of something interesting or important. 

Typically this is where ads come into play but this can also be featured content, affiliate email programs, podcasts, you get the picture. 

Affection is what happens after you’ve grabbed their attention. The goal here is to connect with the audience and create a relationship that makes them want to buy from you.

This shows up as sales pages, email sequences, and even your everyday content on your social platforms but the bottom line is that you’re nurturing these people.

The last part is retention.

Now, whether or not this person has bought from you, they expressed interest in some form and you want to keep that person around. 

Why? 

Well, buyers will tell people how great your stuff is and anyone who didn’t buy might just need a little more time to think before they decide to buy from you. 

And again, even if they NEVER buy, best case they refer someone to you, worst case it doesn’t hurt to have one other person that likes you.

This piece also is largely working in your email and in the content you’re pushing out through your other channels. (Facebook, Instagram, podcast, blog, etc.) 

Okay, so remember when I said that entrepreneurs are addicted to ads? What I mean is, they’re so hyper-focused on making sure that Attention works that there’s little to no thought put into Affection or Retentionwhich is a problem

Those last 2 pieces of a successful million-dollar funnel can take time to build but are what can save you SOOOOO much time and money on cold ads and retargeting. 

Plus, if you set them up and automate the processes correctly, they account for the highest ROI in any successful business. (And I mean ANY.)

What really stops entrepreneurs from focusing on these areas is pretty simple: 

  1. It’s harder to track exactly where a sale came from
  2. It takes more time to see the results
  3. It’s really not sexy

And I sympathize with you, really, I do. 

I want my results on demand like everyone else does. 

The thing is, that’s not how you build a million-dollar funnel. 

You have to be willing to put in the time and effort to make it work. Not only that, you need a strategy that makes sense within your business that can effectively scale as you do. (Because trust me, that million-dollar funnel is NOT a one-person operation.) 

SO am I saying don’t use ads? Absolutely not. (My ad expert friends would kill me if I did.) 

Ads are an important piece of a flourishing market strategy. 

But remember, that’s exactly what they are: a piece. 

And when you go back to edit or build your funnel, you should treat them as such—just a piece of the bigger picture.

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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