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What Is It & Why You Should Use It

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What Is It & Why You Should Use It

Every year, a new digital platform emerges. In the last year alone, Discord, Twitter Spaces, and Twitch have all become very popular with consumers all around this world.

Now, social media marketers are faced with this issue: Should you curate content for each platform and its audience or should you save some time and cross-post on multiple platforms?

In this article, we’ll discuss the do’s and dont’s of cross posting, the benefits of this strategy, and some tools to help you leverage it.

Who can get the most out of this strategy?

  • Small brands with a limited marketing budget
  • New brands that haven’t produced much content
  • Social media marketers that want to focus on strategy instead of posting

Benefits and Drawbacks of Cross Posting

Cross posting is a time-saving measure that allows you to share your content with a wider audience without having to put in the extra effort.

The main benefit of cross-posting is that it saves you time. Instead of creating separate pieces of content for each social media platform, you can just share the same content on all of them.

This is especially helpful if you’re short on time or if you’re managing multiple social media accounts.

Another benefit of cross-posting is that it allows you to reach a wider audience. By sharing your content on multiple platforms, you’re increasing the chances that people will see it and engage with it.

cross posting example

While cross posting has many benefits, there are also a few drawbacks to consider.

The first is that not all platforms are created equal. What works on one platform might not work on another.

That’s why many marketers prefer to tailor their content to each platform and its specific audience.

Another drawback of cross posting is that if some users follow you on multiple platforms and see the same content, they may get bored and stop paying attention to what you post.

As with every strategy, you have to be flexible in your approach.

Cross Posting Mistakes

Now that you know what cross posting is and how to do it, let’s take a look at some mistakes you should avoid.

One mistake to avoid is reposting the exact same content on every social media platform. Just because you can cross-post everywhere doesn’t mean you should.

Your followers on each platform are likely to be different, so it’s important to customize your content for each audience. More on that in the next section.

Another mistake I often see on social media is brands posting content featuring watermarks from other platforms.

For instance, when you upload a video to TikTok and save it, the brand’s logo will automatically appear on the video. Instagram recently announced that it would deprioritize videos with the TikTok watermark to avoid recycled content from its competitor.

This practice also compromises your video quality while signaling to audiences that you’re focusing on other social platforms.

Here’s an easy solution: Edit and prep your content on a third-party platform like Canva or iMovie then upload to the respective platform to add additional elements like filters, sounds, and captions.

That will not only keep you from getting shadowbanned but also preserve the quality of your content, as it’s only being uploaded once.

Best Cross Posting Practices

When it comes to cross posting, the most important factor is the quality of your content. This might seem obvious, but it’s important. If your content isn’t good, people won’t want to read it or share it, no matter what platform it’s on.

cross posting example 2

Once you have great content, the next step is to tailor it to each specific platform. Now you might be thinking, “Is the whole point of cross-posting that I don’t have to tailor content to the platform?” The truth is that while cross posting takes the bulk of the work out, you’ll still have to do some customizing.

This means seeing which platforms deserve which approach. For instance, TikTok and Instagram Reels are both short-form video platforms. This offers an easy cross-posting opportunity.

However, posting a TikTok video on Twitter may not work as well since the latter is mostly text-based. As such, maybe Twitter and Facebook could be a better match-up.

On Facebook, you might want to include a photo or video along with your update whereas you could use the copy only for Twitter.

The key is to make your content engaging and interesting based on audience behavior on each platform.

And finally, to make cross posting easy, consider using software. There are a number of options available, let’s cover that next.

Cross Posting Software

Now that we’ve discussed the benefits of cross posting, you may want to look for tools that will facilitate this process.

First, here are key features you’ll want to look out for:

  • Scheduling – The best cross posting software will allow you to schedule your content in advance so you can set it and forget it.
  • Customization – As we mentioned before, it’s important to tailor your content for each social media platform. The best cross posting software will allow you to do this with ease.
  • Analytics – It’s also key to track the performance of your cross-posted content. You’ll need software with advanced analytics so you can see what’s working and what isn’t.

Let’s take a look at some tools that will help you do it.

Hootsuite

best cross posting app hootsuite

Hootsuite is one of the most popular social media management platforms. It allows you to schedule and publish content, track who’s talking about your brand, and measure your performance.

It also has a feature that lets you cross-post content to multiple social media accounts with just a few clicks.

Buffer

best cross posting app buffer

Another tool you can use is Buffer.

Like Hootsuite, Buffer lets you schedule and publish content, track your brand mentions, and measure your performance.

It also has a cross-posting feature that makes it easy to share your content.

Sprout Social

best cross posting app social

Sprout Social is a third option for those looking for a social media management platform. It has all of the features you’d expect, like the ability to schedule and publish content, track your performance, and engage with your audience.

It also has a cross-posting feature that lets you share content on multiple social media platforms.

When done correctly, cross posting can be an effective way to grow your online presence. Just make sure to avoid the mistakes we discussed and use one of the tools we mentioned to make the process easier.

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MARKETING

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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