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Scheduling Best Practices for Remote Work Culture

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Scheduling Best Practices for Remote Work Culture

A study by Phorest in 2019 indicates that roughly 54% of bookings and appointments scheduled during work hours were made on the go. Ironically, scheduling and planning the day play vital roles in running a successful business, especially in remote or hybrid working cultures.

Remote/hybrid work demands more precise scheduling

Physical separation is not new in the business codex. Business transactions had happened online across the globe even before the pandemic hit. But what makes remote or hybrid work different today is the interaction between the players. This includes virtual communication between team members and between you and your customers/clients.

For example, when in-office work was still the norm, you could pop up at your colleague’s desk and have a short meeting or call your clients for impromptu discussions. In the remote, hybrid, and work-from-home business culture, everyone has more flexibility in deciding not only the ‘where’ to work but also the ‘when’ to work.

To avoid having unsuccessful meetings due to the absence of the other party, always schedule virtual meetings. Not only will you be sure that your partner has the time and capacity to talk, but will also get a few other benefits along the way.

Benefits of scheduling business meetings

Refining time and task management skills

Scheduling improves time and task management for individual employees and the company. For instance, you know when is the deadline to update your manager or clients about a particular task and can prioritize your work accordingly.

Blocking specific days and times for regular company meetings also helps manage your tasks. This is especially helpful for people who have a dynamic schedule such as inside sales reps, or workers who don’t spend most of their working time in front of a computer, for instance, the on-field workforce.

Good for your well-being

Knowing how your day will go can give you a better understanding of your tasks at hand. As a result, you don’t wing your day but plan things appropriately. By having certainty about what is going to happen next, you can give yourself peace of mind and avoid being caught up in some unexpected events.

Allocate time to tackle sudden tasks

That said, some urgent tasks or sudden meetings may still come up, but since you’ve scheduled all your appointments, you can ask for some meetings to be postponed or ask your colleagues to take over. This allows you to have some “crunch” time to work intensively to handle urgent cases on the go.

Scheduling Best Practices for Various Roles

Talent acquisition managers

Analyzing CVs and setting up interviews are parts of a talent acquisition manager’s day. Depending on the type of organization, some companies can recruit people who live in different time zones, which adds more difficulties to the meeting management process.

To stay on top of your recruitment efforts, use a booking management system in which the candidates can book a time slot individually. It can help talent acquisition leaders to manage all the appointments despite the time and geographical differences.

HR leaders

Organizing a ‘welcome’ meeting for new employees can be challenging, especially if you onboard several new talents in a short period. Not to mention the ‘end-of-the-first-day’ meetings, the ‘feedback’ meetings, and other ‘internal team’ meetings to help them up to speed with their new roles. Imagine setting up the event one by one.

Consider getting an automated employee onboarding tool to ease your pain of manually setting up meetings and onboarding tasks for each new joiner. This auto-pilot feature takes away the repetitive and tedious jobs of organizing appointments and onboarding steps and lets HR managers allocate their time for other tasks.

Take the automated approach one step further for managing development courses for your team. Block the participants’ calendar for the duration of the training sessions to avoid absences from the employee development events.

Salespeople

A different day is a different story. Sales are perhaps the job that relies most heavily on a proper scheduling method. Without scheduled meetings, salespeople will have difficulty managing their productivity.

If your sales forces consist of several players, automatic scheduling ensures that your sales team is available at the booked time so that no one will miss out on prospects. In addition, this will prevent double bookings or leaving meeting requests unassigned.

Freelance trainers or coaches

One of the factors for freelance trainers or coaches to maintain their stellar reputation is giving a top-notch booking experience. Ideally, clients can book, cancel, or re-schedule the meetings easily. This also reduces the chances of no-show meetings and saves your manual effort on managing individual appointments and communicating possible compensation.

Conclusion

Regardless of the job, scheduling boosts efficiency in the workplace by automating tasks such as booking and canceling appointments. It also enables you to prioritize or delegate specific tasks to your colleagues.

For recruiting managers, allowing candidates to book their interview time shows that your company has a flexible working culture. For HR managers who deal with organizing onboarding and training, automatic team scheduling grants more time to focus on more personal tasks. As for the sales teams and freelancers, letting customers pick the dates based on their preferences will positively impact your business.


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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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