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Why website health is critical to demand generation success

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Why website health is critical to demand generation success

“What we’ve noticed over the years is that there is a gap in many demand gen machines,” said Shachar Radin Shomrat, CMO of Deepcrawl, in her presentation at The MarTech Conference. “In some, a whole piece is completely missing. In others, it exists, but is underperforming.”

The single most important challenge growth marketers face, according to Shomrat, is allocating resources across the many marketing activities they engage in. Marketers call this the “demand gen problem.”

demand generation problem
Source: Shachar Radin Shomrat

One of the ways marketers address this issue is by employing demand generation machines, which are systems set up to help brands optimize demand processes. And although these tools address demand generation well most of the time, many marketers fail to optimize them effectively.

Shomrat believes one of the main causes of these issues is marketers’ underprioritization of organic channels.

“More often than not, marketers are putting the bulk of their earning energy and spend into paid digital acquisition channels,” she said. “The problem, however, is that those are expensive channels that drive up the cost of customer acquisition and over time will provide diminishing returns.”

demand generation funnel
Source: Shachar Radin Shomrat

“It’s time for marketers to prioritize organic channels,” she added.

Embracing the benefits of an optimized technical structure

When most brands think of organic marketing, they tend only to consider keywords, off-site links, and content elements. Unfortunately, this neglects one of the foundational pieces of website health: the technical structure.

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“The technical foundations are critical for the website performance in search,” Shomrat said. “In general, they are typically deprioritized at best or completely overlooked.”

She added, “Today, succeeding in organic search is about a lot more than just keywords and content — it demands technically sound websites.”

The key to a healthy technical site foundation, according to Shomrat, is efficient resource allocation. Rather than focusing primarily on short-term, costly boosts with paid channels, growth-minded marketers must allot more resources to technical elements that can help grow organic visibility.

Here are some of the key areas where marketers can allocate resources to improve their sites’ technical soundness and help extend their organic reach.

Architecture

An optimized site architecture lays out pages so search engines and users can easily understand where each piece of content is found. This helps increase engagement.

Availability and crawlability

Your site pages need to be accessible to search engines and users via valid HTTP status codes. This allows for crawling, which is the process in which search engines assess your page content.

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Site owners should make sure the pages they want to be included in search engines have a 200 HTTP status code, which signals that the page exists and can be crawled — just so long as it’s not blocked by the site’s robots.txt file.

Indexability

Just because your pages are crawlable doesn’t mean they’re indexable. Marketers need to make sure their pages’ robots tags allow for indexing, and, in turn, ranking in the search results.


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Authoritative, relevant content

“If a page does not appear to be credible or authoritative, then it will [probably] not rank as highly as pages that appear more credible or authoritative in the search engine results,” said Shomrat.

Marketers can build their site authority by creating relevant content that demonstrates expertise in its subject area.

But, no matter how authoritative a page’s content is, it will ultimately fail to connect with audiences if it’s not relevant to their needs.

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“If a page does not contain content elements that clearly address a user or a customer’s needs and pain points, then users will not click on the page,” she said.

Experience

People are less likely to convert on sites that offer poor experiences, such as slow-loading pages. Google and other search engines encourage site owners to optimize their technical structures to prevent this from happening, allowing their content to shine in the search results.

“If you do not fix your [technical] foundation, your content and keyword investments are not going to get the return that you expect,” Shomrat said.

What happens when optimizing website health isn’t driving ROI?

“While there are some businesses that overlook their website health, there are others for whom it has always been critical, even before the recent digital acceleration and search ranking algorithm changes,” said Shomrat. “Those are the businesses for whom the website is the product. For example, e-commerce brands, online marketplaces, and global brands with hundreds of local sites.”

“The central truth is that even those growth marketers that understand and acknowledge the value of website health often struggle with getting it right,” she added.

Shomrat says businesses that struggle to maintain technical soundness despite prioritizing website health often face budgetary and resource issues. To address these hold-ups, she recommends marketers work with other operations teams, using their expertise to help improve technical processes.

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“The research has clearly shown that website health and organic search suffer from operational challenges,” she said. “To solve them, a cross-functional approach is needed.”

search ops intersection with marketing ops
Source: Shachar Radin Shomrat

Adopting a cross-functional strategy that spans departments can help eliminate data and operation siloes that contribute to poor website health. Shomrat recommends marketers work to bring these ops teams together to more effectively maintain their site’s structural integrity for the long term.

“Expanding your operational view by thinking of marketing ops as digital ops will help break down those silos and create new, more seamless pathways to [improve] your website health efforts,” she said.

SEO platforms: A snapshot

What is SEO? Search engine optimization encompasses a wide range of marketing activities, including content marketing, user experience strategy, technical analysis, and more, all with the goal of increasing the traffic websites receive from search engines.

What do the tools do? SEO platforms help marketers draw more insights from their work. They offer capabilities such as rank-checking, advanced keyword research, competitive intelligence, and backlink analysis. What’s more, enterprise-level platforms take these functions to new heights with extensive auditing and analysis of page performance, making it easier to find key areas needing improvement.

Why we care. SEO has remained one of the key foundations of digital marketing for years. Search drives roughly 50% of website traffic on average, according to a study on SimilarWeb data by Growth Badger. And while marketers have developed strategies to keep up, SEO’s growing complexity has made this a more complicated marketing discipline that companies cannot afford to ignore.

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Read next: What do SEO platforms do and how do they help marketers get found on search engines?


About The Author

Guide to what you missed at the fall 2022 MarTech

Corey Patterson is an Editor for MarTech and Search Engine Land. With a background in SEO, content marketing, and journalism, he covers SEO and PPC to help marketers improve their campaigns.


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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.”

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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.”

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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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