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Foundations of Agency Success: Simplifying Operations for Growth

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Foundations of Agency Success: Simplifying Operations for Growth

Foundations of Agency Success Simplifying Operations for Growth

Why do we read books like Traction, Scaling Up, and the E-Myth and still struggle with implementing systems, defining processes, and training people in our agency?

Those are incredibly comprehensive methodologies. And yet digital agencies still suffer from feast or famine months, inconsistent results and timelines on projects, quality control, revisions, and much more. It’s not because they aren’t excellent at what they do. I

t’s not because there isn’t value in their service. It’s often because they haven’t defined the three most important elements of delivery: the how, the when, and the why

Complicating our operations early on can lead to a ton of failure in implementing them. Business owners overcomplicate their own processes, hesitate to write things down, and then there’s a ton of operational drag in the company.

Couple that with split attention and paper-thin resources and you have yourself an agency that spends most of its time putting out fires, reacting to problems with clients, and generally building a culture of “the Founder/Creative Director/Leader will fix it” mentality. 

Before we chat through how truly simple this can all be, let’s first go back to the beginning. 

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When we start our companies, we’re told to hustle. And hustle hard. We’re coached that it takes a ton of effort to create momentum, close deals, hire people, and manage projects. And that is all true. There is a ton of work that goes into getting a business up and running.

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The challenge is that we all adopt this habit of burning the candle at both ends and the middle all for the sake of growing the business. And we bring that habit into the next stage of growth when our business needs… you guessed it… exactly the opposite. 

In Mike Michalowitz’s book, Profit First he opens by insisting the reader understand and accept a fundamental truth: our business is a cash-eating monster. The truth is, our business is also a time-eating monster. And it’s only when we realize that as long as we keep feeding it our time and our resources, it’ll gobble everything up leaving you with nothing in your pocket and a ton of confusion around why you can’t grow.

Truth is, financial problems are easy compared to operational problems. Money is everywhere. You can go get a loan or go create more revenue by providing value easily. What’s harder is taking that money and creating systems that produce profitably. Next level is taking that money, creating profit and time freedom. 

In my bestselling book, The Sabbatical Method, I teach owners how to fundamentally peel back the time they spend in their company, doing everything, and how it can save owners a lot of money, time, and headaches by professionalizing their operations.

The tough part about being a digital agency owner is that you likely started your business because you were great at something. Building websites, creating Search Engine Optimization strategies, or running paid media campaigns. And then you ended up running a company. Those are two very different things. 

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How to Get Out of Your Own Way and Create Some Simple Structure for Your Agency…

  1. Start Working Less 

I know this sounds really brash and counterintuitive, but I’ve seen it work wonders for clients and colleagues alike. I often say you can’t see the label from inside the bottle and I’ve found no truer statement when it comes to things like planning, vision, direction, and operations creation.

Owners who stay in the weeds of their business while trying to build the structure are like hunters in the jungle hacking through the brush with a machete, getting nowhere with really sore arms. Instead, define your work day, create those boundaries of involvement, stop working weekends, nights and jumping over people’s heads to solve problems.

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It’ll help you get another vantage point on  your company and your team can build some autonomy in the meantime. 

  1. Master the Art of Knowledge Transfer

There are two ways to impart knowledge on others: apprenticeship and writing something down. Apprenticeship began as a lifelong relationship and often knowledge was only retained by ONE person who would carry on your method.

Writing things down used to be limited  (before the printing press) to whoever held the pages.

We’re fortunate that today, we have many ways of imparting knowledge to our team. And creating this habit early on can save a business from being dependent on any one person who has a bunch of “how” and “when” up in their noggin.

While you’re taking some time to get out of the day-to-day, start writing things down and recording your screen (use a tool like loom.com) while you’re answering questions.

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Deposit those teachings into a company knowledge base, a central location for company resources. Some of the most scaleable and sellable companies I’ve ever worked with had this habit down pat. 

  1. Define Your Processes

Lean in. No fancy tool or software is going to save your company. Every team I’ve ever worked with who came to me with a half-built project management tool suffered immensely from not first defining their process. This isn’t easy to do, but it can be simple.

The thing that hangs up most teams to dry is simply making decisions. If you can decide how you do something, when you do it and why it’s happening that way, you’ve already won. I know exactly what you’re thinking: our process changes all the time, per client, per engagement, etc. That’s fine.

Small businesses should be finding better, more efficient ways to do things all the time. Developing your processes and creating a maintenance effort to keep them accurate and updated is going to be a liferaft in choppy seas. You’ll be able to cling to it when the agency gets busy. 

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“I’m so busy, how can I possibly work less and make time for this?”

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You can’t afford not to do this work. Burning the candle at both ends and the middle will catch up eventually and in some form or another. Whether it’s burnout, clients churning out of the company, a team member leaving, some huge, unexpected tax bill.

I’ve heard all the stories and they all suck. It’s easier than ever to start a business and it’s harder than ever to keep one. This work might not be sexy, but it gives us the freedom we craved when we began our companies. 

Start small and simple and watch your company become more predictable and your team more efficient.


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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.”

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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.”

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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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