MARKETING
How to Use Social Media to Find and Hire the Right Talent
Building a powerful and talented team is the most essential step to creating a successful business.
Hiring the right people is the most important part of that process.
But there’s one huge dilemma in finding the right new employees: All the great ones are already hired, and more often than not valued in their companies, simply because they are awesome.
How to find them and lure them to join your brand?
If there’s one thing I’ve noticed about a successful hiring strategy, it’s that they tend to be super organized. Disciplined too.
Here are a few new tactics and trends to help you attract the right talent:
Using Social to Proactively Recruit
However, something else has been happening for ages too. Over a period of decades, headhunters have carefully nurtured their networks and positioned themselves to proactively approach candidates when the mandate is right.
This allowed them to reach out to a hand-picked shortlist of candidates – and so put forward for consideration candidates that companies missed when relying on recruitment advertising alone.
One of the less talked-about aspects of social recruiting is the degree to which social media and social networking sites have made it possible for ANY recruiter to now source candidates this way. So in this article, I want to share with you 3 things you ought to investigate if you have any aspirations of attracting the right people to your company:
- Using Twitter lists to create targeted candidate pools
- Making use of LinkedIn contacts as your comprehensive recruiting database
Using Twitter Lists To Create Targeted Candidate Pools
Twitter lists have always been a powerful way of organizing the people you want to engage with. But for the purposes of recruiting, they’ve always been limited by the restriction of only being allowed 20 lists and a maximum of 500 Twitter accounts on each list.
The good news is, Twitter increased these limits, enabling you to create 1,000 lists and add up to 5,000 Twitter accounts to each list. That’s a massive change – and one that empowers you to really use Twitter as a proactive recruiting tool.
In all likelihood, there are specific companies that your company would ideally like to poach staff from. Imagine now that you can create lists of potential candidates for each and every specific skill/location/ company combination you might want to target in the future. By using a tool that searches Twitter users’ bios, you can quickly find and add candidates to relevant candidate lists.
There are many out there, Followerwonk is one that I’ve been having a lot of joy using. By searching to find who’s been tweeting niche content in your sector, you’ll be able to add many more who don’t have this information in their bios but who you then come to learn about (and can populate the missing data by researching elsewhere).
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You could also have lists of people who have expressed an interest in working at your company with particular skills/locations/company profiles.
Twitter lists also allow you to better target your daily engagements. You can create lists for niche experts that you really need in your team, and engage with them daily.
Just like with general branding, employer branding can take a lot of touchpoints before your dream candidate remembers your brand and starts considering it as a possible future workplace. You can also slowly but surely make them aware of your company culture and milestones.
You can also share your Twitter list with your current employees and let them interact with those experts as well. Not only will it help them to better understand your niche, but it will also demonstrate to your dream candidates that your whole company works as a team.
There are quite a few business phone apps and productivity apps that make this type of cross-team collaboration possible.
In your day-to-day Twitter activities, you now have a means of filtering who you’re engaging with and prioritizing those you can see your business is most likely to be targeting in the coming months. But now imagine that each time you start a new assignment, you can dig into your Twitter lists to identify candidates you’d like to approach.
Some you may see also appear on your lists of people who want to work at your company. Bingo! Others you can approach knowing already that they’re in your prime target market.
With 1,000 lists to play with, the possibilities here are huge. So if you’ve made Twitter part of your social recruiting activities, start getting organized with Twitter lists and position yourself to be ready to pounce as new requirements land on your desk.
Making Use of LinkedIn Contacts As Your Comprehensive Recruiting Database
Have you ever wished that you’d been organized enough that every candidate and client you’ve ever come into email contact with you’d added as a LinkedIn connection? Just think how powerful a database of headhunting contacts (and client prospects) that would be! Well with the new LinkedIn Contacts, this dream is in part fulfilled.
Alongside your existing LinkedIn connections, you can now import anyone whose email address you have. They’ll then appear as searchable contacts on LinkedIn, with their name and current occupational details populated from their LinkedIn profile.
This is immensely powerful (and free!). Whereas your candidate database and Outlook address book are full of out-of-date candidate information, by importing those contacts into LinkedIn Contacts you now have a database – searchable by Company, Job Title, and Location – which references their very latest details. If their LinkedIn profiles are up to date, so too is your candidate database. It’s therefore more comprehensive than anything you could maintain in-house.
From within LinkedIn Contacts, you can track your activity with those candidates (or clients), plus set yourself reminders for when you should next contact them. So it’s also great as a candidate relationship management tool. The potential is immense for any recruiter wanting to more proactively source candidates in the future.
Another tool that consolidates several social media networks to help you participate in relevant discussions and find the right people is called Ddevi which is a browser extension that scans your Linkedin feed, Facebook Groups, Reddit, and Twitter discussions for your keywords to generate one consolidated feed for you to engage with.
You can then use the built-in AI writer to post replies to relevant discussions. This is a great way to build stronger relationships with niche experts who you hope will join your team.
Concluding Remarks
A lot of the current media focus has understandably been on the visible side of what can be achieved with social media. How to engage, how to interact, whose messages are being best received, and so on. Hopefully, with this article, I’ve awoken you to the fact that there’s a whole other side to social networking.
A side that – through preparation and organization now – can position you to proactively source candidates in the coming months. Good luck!
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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.”