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Time For a Content Strategy Pivot? Here’s How To Decide (and Get Started)

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Time For a Content Strategy Pivot? Here’s How To Decide (and Get Started)

No matter how good your content marketing strategy is, you’ll need to change it at some point.

A content pivot – small or large – can ensure your content marketing stays relevant as customer behavior shifts. Executing a smooth pivot without losing your audience requires work.

What is a content pivot?

A content pivot changes the direction of your content strategy. It’s usually triggered by a shift in your target audience and/or its behavior. They may have been impacted by local or global events, an algorithm shift on a social media platform, or even an adjustment in your business strategy.

A #content pivot often is prompted by a shift in the target audience and/or its behavior, says Grace Lau of @dialpad via @CMIContent. Click To Tweet

Your content should be timely, high-quality, and valuable to your audience. When that isn’t the case, it’s probably time for a change. But how do you know when your content isn’t delivering?

In general, look for these red flags:

  • Decline in engagement
  • Lower rankings on search engine results pages
  • Plateau in web traffic
  • Drops in conversions
  • Low monthly search volume for target keywords

While these metrics are general indicators, you have to dive deeper to determine if a pivot is really necessary. Conduct a content audit. Look at how well your content assets perform. Does the content still align with your business goals? Could disappointing metrics be caused by factors other than the content itself? Is the content too long or not long enough? Are SEO best practices used? Are you posting enough content? Too much?

If you conclude that the content – how well it resonates with the audience and the business – is the problem, it’s time to pivot by following these steps.

TIP: You may want to pivot even if your audience is the same and your content is producing desired results. A new feature on an existing platform could prompt a pivot. For example, TikTok recently launched TikTok Now, which prompts users to share images or 10-second videos when they get the “Now” notification. If that’s relevant to your brand, a small pivot might be helpful.

How to implement a content pivot

Each content pivot has different motivations, financial requirements, and expectations. It’s helpful to know those parameters as early as possible, so you and the team have a clear understanding of the goals, timeline, and budget.

1. Document the start

Create a baseline, so you know if the content pivot is yielding results. Detail the performance of past content – engagement, traffic, conversions, etc. – that you want the content pivot to improve.

Begin to think about:

  • What do you want to improve? Consider the potential KPIs, such as traffic, conversions, brand awareness, etc.
  • How often will you assess progress?
  • Which channels are involved?

With those thoughts in mind, you’re ready for the next step.

2. Reassess your current strategy

Look at how your target audience’s behavior, preferences, and pain points have changed. For example, your keyword search reports may show a shift in them using the phrase “local calling in Canada” to “international calling from Canada” in search. If that’s the case, you can make a small pivot in your content marketing strategy.

Know where (and how) your target audience turns today for information about your industry. For instance, is their interest in a social media platform still the same? Are they obtaining the information on different devices?

Analytics tools like Google Analytics can help find the answers. You also could also send out surveys or hold focus groups to hear directly from your customers. Or talk to your colleagues in sales and customers for their insight.

TIP: Create a customer empathy map to understand what content will speak to them and resonate with their interests and issues.

Of course, changes in how the audience behaves aren’t the only reason to pivot. Your business strategy may have changed so the previous target audience isn’t the current target. A shift like that often requires a content pivot.

A change in business strategy may prompt the need for a #content pivot, says Grace Lau of @dialpad via @CMIContent. Click To Tweet

A pivot by your competitors may present a great opportunity to learn about your potential pivot. What prompted their change? Do you know the results? What went well? What didn’t? These insights can inform your pivot plan.

3. Set a measurable goal

You need to set a measurable goal and KPI to track your pivot’s progress.

The best goals are SMART – specific, measurable, achievable, realistic, and time-bound. For example: “To increase organic traffic to our website by 20% over the next year.”

Ensure the goals align with your desired audience behavior and your business strategy.

4. Create the pivot plan

If you’re making a small pivot, like introducing a new blog topic or adding a digital brochure, you can weave the pivot into your existing plan. If you’re planning a large pivot, such as overhauling your website content or branding, you need to start from scratch.

An effective pivot plan specifies the following:

  • Timeline – Include a start date and don’t forget factors that could affect the timeline, such as seasonality or product launches.
  • Evaluation points – Detail check-in frequency and results will be communicated.
  • Hypothesis – Create a testable hypothesis based on your audience research. For instance, “If we do X, we expect organic traffic to increase by Y.”
  • Target audience – Include any new audiences you want to reach.
  • Testing – Document how you plan to assess your pivot, such as A/B or user testing and who oversees it.
  • Implementation and tracking – State who’s in charge of the implementation and tracking of your strategy.

A #content pivot plan should test a hypothesis based on your audience research, says Grace Lau of @dialpad via @CMIContent. Click To Tweet

A clear pivot plan will keep you and your team focused and help you secure buy-in from your colleagues and stakeholders.

5. Launch your pivot

You are ready to roll out the content pivot. If it’s a major change, you may want to do a trial with a pilot group with loyal customers to gauge their reaction.

Once the pivot is implemented and success is experienced, you should optimize or remove old content that doesn’t work in the new pivot. If you’ve given the pivot time to bear fruit and are disappointed with the results, don’t be afraid to make changes.

Move forward cautiously

The changes accompanying a content pivot can be unnerving or unsettling for the existing audience and even business leadership:

  • Keep your customers informed. Tell them what you’re doing and why, and listen to their feedback. Otherwise, you could alienate them.
  • Pace the pivot. If you change your brand overnight, you risk confusing and frustrating your customers. Instead, take the long view, and don’t let your short-term changes compromise your brand’s identity.

Content pivoting is an important skill that helps content marketers keep up with the times and stay relevant to their audience. To effectively pivot your content strategy, you need a clear goal, a detailed plan, and a KPI to track its success.

Sometimes, though, pivots still don’t go as planned. If that happens, don’t panic. Failure is a valuable learning opportunity. You can use them to revise your pivot or help shape future pivot strategies when your content strategy plan shifts.

Want more content marketing tips, insights, and examples? Subscribe to workday or weekly emails from CMI.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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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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