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How Full-Cycle Recruiting Can Improve Your Recruitment Process

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How Full-Cycle Recruiting Can Improve Your Recruitment Process

Job vacancies can cost a company an average of $500 per day.

Companies can save money, improve the quality of their hires, eliminate communication gaps, and increase accountability during the recruitment process by implementing a full-cycle recruitment strategy.

The full-cycle recruitment process is managed by a single full-cycle recruiter or full-cycle recruiting agency.

Full-Cycle Recruiting Process

full cycle recruitment process

The full-cycle recruiting process includes six stages: preparing, sourcing, screening, selecting, hiring, and onboarding.

Preparing

The first stage of the full-cycle recruiting process is the preparing stage. A recruiter will begin this stage by working with a hiring manager to identify a hiring need and create a persona — a fictionalized profile of your company’s ideal candidate.

During the next step of the preparing stage, the recruiter and hiring manager will determine how much compensation a candidate will be offered. This information will be used to create a job posting that includes an overview of the role, responsibilities, salary range, benefits, and information about the company.

Sourcing

After creating a persona and job posting, a recruiter will use word-of-mouth, internal recruiting, employee referrals, social media, job boards, or career websites such as LinkedIn and Glassdoor to find jobseekers that fit the ideal candidate persona.

Screening

After finding potential candidates, a recruiter will carefully review applicants’ resumes and cover letters with the help of HR software. Then, the recruiter will perform a phone screen or on-demand interview.

For most talent acquisition leaders, resume screening is the most time-consuming and challenging part of recruitment.

Selecting

After screening and shortlisting candidates, the recruiter will determine which candidate is the best fit for the role by conducting face-to-face or virtual interviews.

A recruiter will ask candidates in-depth questions to learn more about their professional background and qualifications during a face-to-face interview. The recruiter may also have candidates complete writing assignments or a series of tasks to prove they are a good choice for the position.

Once the recruiter selects the best candidate, they will check the candidate’s references or order a background check.

Hiring

The hiring stage is the most important of the process.

After choosing the best candidate for the role, the recruiter will contact the candidate with an official job offer and may have to negotiate the terms of the offer. The candidate may feel more comfortable receiving a job offer from the full-cycle recruiter rather than the hiring manager because the recruiter has been the candidate’s primary contact throughout the hiring process.

Onboarding

The final stage of the full-cycle recruiting process is the onboarding stage. During the onboarding stage of the process, a hire is integrated into the company. The full-cycle recruiter will familiarize the new hire with the company culture and team members using a welcoming orientation or introductory path.

1. Identify the ideal candidate for the role.

A candidate persona is a description of your ideal applicant. Creating a candidate persona will help your recruiter choose the best applicant for the role by honing in on the criteria that your ideal candidate should meet.

To create a persona, start by asking yourself questions about your ideal candidate to identify their skills, qualifications, experience, education, and background. For example, what industry do they currently work in? Do they hold the role that you are hiring for? What are their professional goals? What work environment do they thrive in?

Once you have answered the questions, interview managers at your business who would oversee your ideal candidate and ask about the skills that would help employees thrive in the role. Use the managers’ recommendations to help craft your ideal candidate’s persona.

2. Find potential candidates.

Create advertisements that target jobseekers who fit your ideal candidate persona. Post the advertisements to social media websites and job boards such as LinkedIn, Facebook, and Glassdoor to reach potential candidates searching for new positions.

You can also use promotions and transfers to recruit existing employees who may qualify for the position. Internal recruiting can help your company reduce onboarding time, boost morale, and save time and money.

3. Review candidates’ resumes and cover letters.

Use applicant tracking software (ATS) to scan applicants’ resumes and cover letters for criteria that matches your ideal candidate persona, such as education, years of experience, and previous job titles.

If you are reviewing resumes and cover letters manually, scan each resume for keywords that match the open position. Next, separate them into 3 categories: resumes that do not meet the criteria for the position, resumes that meet some of the criteria, and resumes that meet all of the criteria. Double-check the resumes in each category.

Place the candidates that are closest to your company’s ideal candidate persona on a shortlist.

4. Conduct face-to-face or virtual interviews with shortlisted candidates.

Interviewing shortlisted candidates can help you find the best fit for the job. By interviewing candidates, you can learn more about their experiences and qualifications, their potential to fit into your company culture, and their soft skills, such as how they perform under pressure.

Conducting standardized interviews can also help you view candidates objectively and prevent bias in the hiring process.

5. Contact the best candidate with an official job offer.

After conducting interviews, extend an official job offer to the best candidate. Indeed recommends contacting the candidate by phone the same day as their final interview or within one day of making your decision.

Benefits of Full-Cycle Recruiting

Full-cycle recruiting improves the efficiency of the hiring process in five key ways:

Faster Hiring

The full-cycle recruiting process reduces time-to-hire, making the recruitment process more efficient. Time-to-hire is a measure of the time between when a candidate enters the pipeline and when they are officially hired. A shortened time-to-hire reduces the risk of a company losing out on highly qualified candidates that may be simultaneously interviewing at other companies.

Streamlined Strategy

Using a full-cycle recruiting strategy streamlines the recruitment process. It eliminates delays caused by communication gaps because the process is handled by a single recruiter or agency that can construct a simple strategy and follow it through to the end.

Improved Quality of Hire

Quality of hire measures the value a new hire contributes to a company’s overall success. Improving the quality of hire increases employee engagement, improves job satisfaction and productivity levels, and decreases turnover costs.

A full-cycle recruiter implements a more personalized and thorough process than a traditional recruiter. As a result, full-cycle recruiting improves the quality of hire by precisely identifying the best candidate for a position.

Increased Accountability

Because one person manages the entire full-cycle recruiting process, all of the successes and failures of the process are their responsibility. The recruiter benefits from this responsibility because they can’t lose a candidate due to someone else’s mistakes.

Improved Communication

In full-cycle recruiting, candidates remain in communication with a single person throughout the hiring process. Therefore, the process alleviates any possible concerns a candidate may have about delays caused by miscommunication between hiring personnel.

Full-Cycle Recruiting Process Results

A well-executed full-cycle recruiting process will result in an employee who feels prepared on their first day. This is all thanks to a full-cycle recruiter who guided them through the recruitment process, maintained communication, and provided necessary information about the job position and the company.

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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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