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Elevating Women in SEO for a More Inclusive Industry

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Elevating Women in SEO for a More Inclusive Industry

Know your value

It’s essential for women to recognize their worth and advocate for themselves in the workplace. It’s important to know your value and not be afraid to own it.

For a lot of women, myself included, doing this can feel horribly unnatural. It’s often hard to admit that you’re good at things or that you have big ambitions because of how society treats us. I, for example, often struggle with writing my own bio or answering questions about my career path and successes. I even struggled while writing this article in many ways, describing my personal experiences and opening myself up.

It’s easy to underestimate our value and downplay our contributions, but it’s essential to recognize the unique skills, talents, and perspectives that we bring to the table. So, take a moment to reflect on your achievements, expertise, and strengths. Don’t be afraid to speak up and advocate for yourself in meetings, negotiations, and performance reviews. While it may sound daunting, there are actionable steps you can take to get started.

Track your achievements and, as much as possible, quantify the impact. Document projects you’ve worked on, results you’ve achieved, and positive feedback or recognition you’ve received from colleagues or supervisors. Use data and metrics to demonstrate the value you bring to the table. And when the time comes to discuss salary and benefits, you will be prepared with everything you need to ask for what you deserve. Try writing a script and reading it aloud to prepare yourself. It may feel silly, but it works.

More tactically, do your research. Find salary benchmarks from places like Glassdoor or LinkedIn. Use Fishbowl to find people talking candidly about salary ranges for roles similar to yours. There are multiple “Bowls” dedicated to salary, compensation, and negotiations. You may just find people comparing notes on salary from your company.

Remember, you deserve to be recognized and rewarded for your hard work.

For those in leadership positions, we can advocate for more transparency around salary and compensation. That doesn’t have to mean that an entire company has access to everyone’s personal income, but it could mean that, as a company, you share salary ranges for different positions based on experience. It could mean that you clearly define the factors that go into determining salary or a raise and how these factors are weighted. Every company is different, but the goal should be to foster a culture of transparency and accountability.

Overcoming imposter syndrome

Overcoming imposter syndrome and self-doubt is key to promoting yourself and establishing a strong professional identity. It’s natural to experience moments of insecurity and self-doubt. It’s natural to have a sense of not belonging. I know I have certainly experienced it. But just because you feel impostor syndrome or you’re not sure you can do something doesn’t mean you shouldn’t try. Don’t disqualify yourself.

In my experience, men more often specialize in technical SEO than women, which can cause a lot of women to doubt themselves around the more technical side of things. Data from Lidia’s article on the gender divide in topics illustrates this very well. Last year, men wrote the overwhelming majority of content on technical SEO and AI. In contrast, women tended to author more of the “soft” topics. This could be related to women in our industry feeling like they can’t or shouldn’t author content on certain technical topics.

But it’s essential not to let imposter syndrome hold you back from reaching your full potential. So, next time you feel a sense of not belonging, remind yourself of your accomplishments, resilience, and unwavering determination. And remember, you are not alone — many successful women have faced imposter syndrome and overcome it, and so can you.

Make your own credentials

In today’s competitive world, it’s not enough to rely on others to recognize your talents and achievements — you need to take control of your own narrative and actively promote yourself.

You don’t have to write a dissertation to be considered an expert. You also don’t have to share a brand new idea or point of view to be considered a thought leader. The key is to find inefficiencies and unique perspectives  —  whether about the industry as a whole or specific to SEO specialties or verticals  —  and be vocal about it.

Leverage social media and your personal or company website as a platform to express your opinions and share your ideas. Join SEO communities like Sisters in SEO on Facebook or Women in Tech SEO on Slack. These are your peers who will not only happily support your thought leadership efforts but also serve as a sounding board and support system for you. Seek out speaking opportunities and podcast guest appearances. Submit your work and yourself for awards. Don’t be afraid to put yourself out there and showcase what you bring to the table.

I created my own website a few years back to showcase my expertise. With options like WordPress and Wix, it’s easier than ever to get a site up and running. It’s also relatively inexpensive to maintain. Today, I use it as a portfolio that showcases all of my accomplishments, from publications to speaking engagements.

Just remember  —  innovation is great, but it’s not a requirement. A new perspective on something old can be just as valuable as a shiny new idea.

Depth over breadth

Not everybody has to be (or can be) an expert on all things SEO. But you can become an expert on a very specific topic or aspect of SEO. You can also work to become the local expert within your company, city/region, or even a particular vertical. The goal is to be the go-to person about a certain topic or facet of the industry. Maybe you want to be the voice of local SEO like Darren or the data scientist like Annie. Use that angle to start small and master your niche.

Building your own credentials isn’t magic. It just feels that way when it works.

Creating a clear and impactful online presence that reflects what you do and what you stand for will allow you to stand out as a true thought leader. Strong personal branding also provides an opportunity for women in SEO to gain valuable support by connecting with other female leaders. The more value you can provide, the stronger your credentials will be, and the wider your reach can grow.



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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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