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How To Run an Effective Social Media Audit in 5 Easy Steps

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How To Run an Effective Social Media Audit in 5 Easy Steps

Social media marketing can be an extremely useful weapon in your digital marketing arsenal. If utilized well enough, it can encourage significant growth in your business.

You may have already implemented what seems to be a thoroughly thought-out social media marketing campaign, but how do you know it’s effective? Maybe you’ve identified your buyers, determined which channels are most likely to produce the best results, and even started posting. But you’re still unsure if your strategy is working.

The following guide will explore how you can ascertain the efficacy of your social media campaign by running an audit in five easy steps.

What Is a Social Media Audit?

More than half of the world’s population uses social media. If you want to take advantage of this user base, you must have an effective social media campaign strategy. Social media metrics provide you with measurable empirical data to help determine whether your campaigns work and establish benchmarks for the future.

A social media audit will help you gather and analyze data from your social accounts. Additionally, it will allow you to eavesdrop on the conversations about your brand and see how it is evaluated next to your competitors.  

Conducting a social media audit will allow you to:

  • Identify trends that will help you develop or re-establish your social media strategy.
  • Determine customers’ attitudes towards your brand.
  • Identify which approaches are effective or ineffective. In turn, it allows you to justify social media spending to executives.
  • Identify new benchmarks and develop key performance indicators (KPIs).
  • Determine new tactics to improve customer engagement.  

How To Build an Optimal Social Media Audit

You should conduct a social media audit at least once a year. As with most technology, social media is ever-evolving, so you need to constantly monitor your metrics. But where should you start?

Step 1: Decide How You Will Record and Display Your Data

A large portion of your social media audit will be dedicated to analyzing large volumes of data. There are different ways to record this information. Traditionally, simple tabbed spreadsheets have worked best for data collection and modeling.

However, social analytics tools such as SocialPilot, Sysomos, and Netbase are far more efficient. They allow you to automatically aggregate your data without manually pulling and compiling it from each metric channel.

Some social media platforms offer built-in tools to acquire these metrics. For instance, Facebook offers Audience Insights. It is an interactive social media analytical tool that allows you to gather information on how audiences engage with your page(s).

However, it isn’t the only platform with this feature. Twitter, YouTube, LinkedIn, Instagram, and Pinterest all offer built-in analytics tools to help you scrape and explore data. The metrics for each platform may differ slightly, but there are some equivalences and comparable fields.

Once you’ve decided which tool to use, you can begin compiling a list of auditable data.

Step 2: Identify Which Social Media Channels You Own

If your company is large enough, you’ll have multiple profiles and social media accounts. You must track which social media accounts you own and who runs them. It is crucial to find out who has the passwords, who has been granted access to the channels, and their access levels.

This will help you ascertain if you require additional governance for your channels. Employees come and go, so you need to ensure that there aren’t any people who still have access to your social media credentials despite no longer being a part of your company.

Additionally, you should consider tracking your non-owned channels. Are there channels illegally using your brand assets and potentially taking a portion of your followers? Are there fan channels that may be misappropriating your brand’s image? Identifying these non-official accounts can help determine if you should file takedown notices against these channels. Alternatively, you can develop better approaches to interacting with those accounts.

If there are indeed channels that are co-opting your brand’s visuals (logo, avatars, cover images, etc.), you can report them to the individual platforms for removal.  

Step 3: Identify and Keep Track of Your Followers

One of the best ways to identify how well your social media campaigns are doing is by tracking the complete number of followers you have for each official social channel. It will show you which social channels need more attention or resources dedicated to them.

Again, you should also track the followers of your non-owned channels.

Step 4: Ensure Your Profile Consistency

Your social media profiles should share a uniform look and feel despite being on different platforms. Consequently, your social media visuals, such as icons, cover images, and avatars, must adhere to your company’s brand guidelines. Furthermore, your brand’s tone and voice should be consistent across your channels.

Step 5: Measuring Your Content Performance

This is the most important step. Your company must analyze each channel’s content performance individually. You can use this data to determine if that content may resonate differently or better in other channels. Some of the metrics you should track include:

  • Which posts and content are performing the best (and the worst)
  • How frequently is content posted on each channel
  • Which posts have the most engagement
  • When the best-performing content was posted (date and time)
  • Number of views for video content
  • Click-through to content
  • Post reach and impressions
  • Number of mentions (Twitter)
  • Effective keywords
  • Response rate
  • Sentiment        

You can typically judge post engagement by the number of comments and likes they have. Some tools allow you to measure positive and negative sentiment.

If you’re doing large-scale social media advertising, conducting a separate in-depth audit is recommended. You can perform this audit using the above-mentioned analytics and ad tools provided by the respective social media platforms.

Other Metrics Worth Auditing

In addition to the above metrics, you should always keep track of your budget, A/B testing results, return on investment (ROI), and any potential areas of opportunity.

A thorough audit is also necessary for any referral program integrated into your ad campaigns. Important metrics to analyze here are campaign impressions to measure exposure, the share rate to evaluate whether the reward is motivating enough, and top referrers to identify which users could be turned into brand ambassadors.

You should also keep an eye on what your competitors are doing. You can track their activities by visiting each competitor’s social media channels and analyzing how they use their networks. A thorough examination of the competition will allow you to contextualize your social media presence and identify any gaps you must fill.

Conclusion

An immediate audit may be unnecessary if you have just initiated your social media campaign. However, understanding how to develop an effective audit can help you set up a framework to help you track the efficacy of your social media campaign.

You can identify weaknesses in your approach, ascertain if you need more resources, determine what is working well, and halt ineffective programs. Conducting an audit may be time-consuming, but it can be a game changer for your business. As you do this, you must remember to be mindful of your buyer persona and business goals.

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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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