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What Is PDCA? Understanding the Plan-Do-Check-Act Method

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What Is PDCA? Understanding the Plan-Do-Check-Act Method

No matter the industry your organization operates in and the products and services you provide, your business needs to be constantly improving to keep up with a competitive marketplace and evolving consumer needs.

This process of change isn’t optional. It’s required if you want to succeed. The hard truth is that businesses that do not improve and evolve will eventually find themselves extinct.  

When change is required at your organization, how do you go about implementing it? Willy nilly action without planning can do more harm than good. Rather than approaching change blindly, you may want to borrow a concept from lean manufacturing philosophy — the Plan-Do-Check-Act Cycle. Read on to learn more.

What is PDCA?

PDCA, which stands for Plan-Do-Check-Act, is an iterative cycle for continuous improvement of people, products, services, and business processes.

The foundation for this concept was developed by American statistician and physicist Walter Shewhart who was passionate about using statistical analysis to create quality improvement. The model itself was developed years later by William Deming who took this concept and turned it into a learning and improvement cycle.

The PDCA model follows a four stage process, which we’ll discuss in more detail below.

The Four Stages of the PDCA Model

As mentioned earlier, approaching change without a plan can spell disaster for your business. Along those same lines, acting on a plan without evaluating your progress can be just as dangerous.

The PDCA cycle aims to eliminate those issues with a four step process, where each step is imperative because it sets you up for success in the next stage. Let’s take a closer look at these steps and what they represent.

pdca cycle model

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1. Plan

To devise a plan that will successfully implement the desired change in your organization, you will need to ask the following questions:

  • What’s the problem you are experiencing?
  • What resources will you need to fix this issue?
  • What resources do you already have available to us at this time?
  • How can you best solve this issue with your available resources?
  • What does success look like?

Depending on the magnitude of the problem, this step may be quick and easy, or it may take weeks or even months of discussion to arrive at a plan. Theoretically, the more time you spend here, the easier the rest of the steps will be.

2. Do

With your plan in place, it’s time to put your ideas into practice. The most important thing to keep in mind during this stage is that issues will arise no matter how solid your plan is. Take these problems in stride and be willing (and able) to make adjustments as you go. This is often done in a smaller, controlled environment so you can learn from mistakes and correct them.

Proper communication amongst your team members will help to limit the number of problems as everyone will have a clear idea of their responsibilities and expectations.

3. Check

The most important (and overlooked) stage of change implementation is the “Check.” How did your plan work in the controlled environment? Were your goals achieved or did your intentions fall flat during execution? Now’s your time to identify the flaws in the process and correct them. Perhaps it wasn’t a complete flop, but you have recognized some opportunities for improved effectiveness. Either way, this step is essential.

4. Act

Now that you’ve planned out your change, applied it, and then checked to make sure it was working, it’s time to act on it. If you determined during the Check phase that you met your goals, you can apply your initial plan. This then becomes the “standard” process and best practices for this aspect of your organization. It also becomes the jumping-off point for your next change implementation.

The PDCA Cycle doesn’t stop once you’ve achieved your initial goal, as it is a continuous system that you should consistently review. The great news is that the more you work with it, the easier it becomes. It will be your go-to plan for every member of your team and will help you reach new heights with your business.

PDCA Template

Now that you understand how the PDCA process can help you implement change in your business, you’re probably wondering how to get started.

Like any new program, process, or tool, it’s helpful to have a physical document to work in to compile all of your information, share it with team members, and make updates as time goes on.

You can create your own in Excel or your project management tool or use one of the ready-made templates available to you. The key to a successful PDCA template is clarity. You should write out every step in detail, along with who is responsible for getting it done and by when. The more detailed your plan, the better your execution will be.

pdca cycle template

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PDCA Best Practices

Along with utilizing a PDCA template, a few other tips will help you implement changes successfully.

1. Ensure that upper management is on-board with these changes. Without their approval, you will not be able to enforce the new policy or procedure you create.

2. Never stop improving. Remember that PDCA isn’t a one-and-done type of procedure. Repeat this cycle constantly, making improvements with each revolution and looking for the next opportunity to create positive change.

3. Once you’ve implemented a policy change, do so across your entire organization. Every department that deals with whatever shift you are creating should adopt this as a new way of operating.

Over To You

Implementing change across your organization won’t be difficult when you learn to plan, do, check, and act.

It is, however, necessary if you want your business to continue growing and thriving. The organizations that reinvent themselves to better meet market needs, their customers, and their employees are the organizations that we will see far into the future.

Adopt the PDCA cycle today and create the best business you can make.

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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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