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How Your Company’s Attrition Rate Could Be Impacting Your Business

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How Your Company's Attrition Rate Could Be Impacting Your Business

Happy employees are the key to a successful business. According to the University of Oxford, happy employees are 13% more productive. High employee satisfaction can go a long way towards your bottom line.

Of course, when your employees are not happy, that shows too. You’ll likely see a slowdown in productivity, a change in the work environment, and you may start seeing an increase in employee turnover.

What have you noticed in your own organization? Are employees loyal and in it for the long haul, or are they leaving in droves? If you’ve been seeing more and more employees leaving the company in a short amount of time, it might be time to calculate your attrition rate and examine what’s really going on in your organization.

There are a variety of metrics that you can use to determine how your employees are doing. Many of them focus on productivity metrics such as progress to goals. However, these productivity metrics don’t tell the whole story.

That’s why it’s important to understand your attrition rate to help determine the health of your organization. Let’s discuss what an attrition rate is and how to lower it.

Understanding your team’s attrition rate is important for the health of your organization because having a high attrition rate can have devastating impacts on your team’s success. With too many experienced team members leaving at once, you run the risk of losing valuable organizational knowledge and losing revenue from repeated hiring and onboarding costs.

Now that you know what an attrition rate is, let’s review how to calculate it for your organization.

How To Calculate Attrition Rate

To calculate the attrition rate, take the number of people who have left your company (or team) and divide it by the average number of employees over a period of time. You then multiply that figure by 100 to present it as a percentage.

attrition rate: how to calculate the attrition rate of an organization

Let’s say at the end of the year you had 500 employees in your organization. During the first quarter of the following year, 100 employees left. This would leave you with an attrition rate of 20% for that time period.

It’s worth noting that a team’s attrition rate can be subjective based on the size of the company. Though there is no single number that is considered a good or bad attrition rate, later on, we’ll cover the important factors to keep in mind when reviewing your team’s attrition data, and when to take action.

Before we dive into that, we need to understand that not all employee exits are created equal. There are four different types of attrition and each one may be saying something different.

Types of Attrition

People leave jobs for various reasons – some voluntary and some involuntary. Let’s look at the four categories of attrition and what they mean.

  1. Voluntary attrition occurs when an employee chooses to leave a position on their own accord.
  2. Involuntary attrition occurs when an employee has been released from the company.
  3. Internal attrition occurs when employees move from one position to another within the same company.
  4. Demographic-specific attrition occurs when there is a noticeable pattern of a specific group leaving a team or company during a given time period (this can be age, gender, ethnicity, parental status, etc.)

Internal attrition is generally not a cause for concern. If employees feel comfortable staying within the same company, it’s often because overall, the culture is good and they are just looking for a promotion or new opportunity.

This can, however, be an issue if an entire department makes an exodus to other areas of the company. This suggests that you may have a management problem in that area.

Next would be involuntary attrition. These employees are being asked to leave the company. They may have been performing below expectations or weren’t a good fit for the role. When this happens, it’s a good idea to review hiring procedures and guidelines to ensure your team is hiring individuals who have the best chance at being successful in their role.

Voluntary attrition is much more concerning. If you have a large number of employees leaving the company at once, there may be an issue with your company culture, management, or compensation. In a bit, we’ll discuss how to identify and correct these issues.

Finally, if you are seeing demographic-specific attrition, there may be a very big problem at play. When people of the same gender, age group, ethnicity, sexual orientation, parental status, or any other personal characteristic are leaving en masse, it may be because of systemic issues in how your company is structured and operated. A close examination of your culture and operations is warranted.

High Attrition Rate

As mentioned above, attrition rates are relative depending on the size of the company. To understand if your attrition rate is higher than it should be, compare your attrition rate to your retention rate for the same time period. Your retention rate measures the number of employees who have remained in your organization.

To calculate your retention rate, divide the number of employees who have remained in your organization by the number of employees you started with (this should be the same figure you use to calculate your attrition rate) and divide this number by 100.

If you suspect a high attrition rate, it’s important to compare your numbers to other companies in your industry, in your geographic location, and within the company, compare departmental attrition numbers to other areas of your business. These comparisons will alert you to any problems or may put your mind at ease.

Aside from the possibility of having an unhappy team, there are several other problems that can occur when your attrition rate is high.

  • Frustrated Employees – When someone leaves, their work doesn’t stop getting done. Often other employees will have to take over their responsibilities until a backfill is hired. In some instances, that individual’s role may not be filled, and their work may be absorbed by other members of their team which could lead to overwhelm and burnout.
  • Team Dynamic – While you may not love everyone you work with, professional teams have often built rapport with one another. When one person (or more) leaves the team, there is an adjustment period that can be felt throughout the department.
  • Loss of Knowledge – If an employee chooses to leave, they will sometimes provide enough notice to document their processes and procedures for their replacement. However, even when they do, it’s unlikely that they’ll be able to provide them with the depth of knowledge they have accrued during their tenure.
  • Resource Constraints – Hiring costs can add up. It’s estimated that it costs about 50-60% of the departing employee’s salary to hire a replacement for their role.

Average Attrition Rate

With all this talk of attrition rates, you’re probably wondering how your company compares to other organizations out there.

First, it’s important to note that attrition rates can depend on a lot of different factors. As you can imagine, the stress level in certain industries and roles is considerably higher than in others. This may sometimes account for higher attrition rates. Geographic concerns such as rising home costs could also impact the number of employees leaving their jobs.

In 2021, the US Bureau of Labor Statistics reported the average turnover rate was 57.3% across industries.

Low Attrition Rate

It is important to note that while a high attrition rate can be bad for business for the reasons listed above, an extremely low rate could be detrimental as well. Why? Because without the ability to bring new employees who offer unique perspectives and skillsets to a team, an organization could reach a point of stagnation.

Bringing new people to the table can increase ingenuity and creativity, and help a company make positive changes.

How to Lower Your Attrition Rate

If you’ve calculated your attrition rate, compared it to other departments and other companies, and deemed it high, it’s time to get to work. There are a number of actions you can take to lower this attrition rate and put your company back on the right path.

The most important step is getting to the root of the problem. What is causing employees to leave? This is the biggest piece of information you need to make the correct changes.

Conduct Exit Interviews

There is nothing more valuable than feedback from an employee who has nothing to lose by being completely honest. You can set up a formal exit interview as employees give notice.

You’ll want to discuss a number of aspects of the business with them, including:

  • Pay and Benefits – Your employees may be leaving simply because another company is offering them more.
  • Recognition and Appreciation – Did they feel as if they were appreciated for their hard work?
  • Management – If multiple former employees point towards the same manager as a source of their issues, you may have a leadership problem on your hands.
  • Culture – Were they happy working for you? Were there aspects of the job and the atmosphere that caused stress or frustration?
  • Mental Health – Even the best compensation can’t make up for unbearable stress. Were workloads too heavy? Was there an unhealthy work environment for employees?
  • Safety – Did they feel that their safety was in danger as they carried out their responsibilities? If so, did they feel comfortable bringing their concerns to management? If they did speak to management, did they feel heard, and were any changes made?

Staff Interviews or Surveys

While current employees may feel more hesitant to air grievances, they can still offer valuable insight into the employee experience. While you may have workers willing to talk about their perceived issues, you may receive more thorough and honest feedback using anonymous surveys.

If you do choose to speak one-on-one with employees, avoid having interviews be conducted by their manager. If the problem is with management and leadership, they may not feel comfortable providing honest feedback.

Finally, if you do seek any feedback from current employees, ensure that their honesty is confidential. If any information shared in confidence becomes public knowledge traceable back to a specific employee, it can be a breach of trust and inhibit future feedback.

Employees leaving is a symptom of a problem, not the problem itself. While a high attrition rate can be concerning in any organization, it’s important to do the work and find out what’s actually causing the issue. Once you’ve identified areas for improvement, seek to make the necessary changes for your team.

company culture template


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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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