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What is a digital experience platform?

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What is a digital experience platform?

digital experience platform

A digital experience platform, also called a DXP, is software that enables the creation, management, delivery and optimization of digital experiences in a variety of channels and contexts. A DXP differs from a content management system (CMS) in that it delivers to multiple digital channels, has commerce built-in and scales, among other things.

The core capability of the digital experience platform is managing and delivering the digital user experience — primarily web pages, but also mobile apps and other types of content — a need that has long been served by content management systems (CMS). While the growth of CMSs let marketers wrest control over websites from the IT department, which was largely in charge of the early web, marketers’ needs have grown beyond CMSs’ ability to meet them in recent years. Over time, businesses have undergone digital transformations to drive efficiencies, remain competitive in the marketplace and respond to changes in customer behavior. To perform everything expected of a modern marketing operation, marketers adopted adjacent technologies to enhance what their CMS was able to do.

For example, Web analytics helped marketers gather data about user behavior and the conversion funnel, with more sophisticated optimization systems allowing for A/B and multivariate testing. Customer journey analytics (CJA) gave marketers a more sophisticated sense of the path users take on the route to purchase. For many businesses, e-commerce capabilities became essential to their digital operations. Connecting all the data in these systems to the right customer or prospect and keeping track of it all required a customer relationship management (CRM) tool or even a customer data platform (CDP).

Applying the insights gained required another set of tools for orchestration, and making sure digital platforms were safe, reliable and fast required technologies like content delivery networks (CDNs).

Though each of these technologies provides a way to improve the user experience and helps modern marketers meet the demands now placed on them, this hodgepodge of systems has increasingly become a liability. In some cases, marketers are weighed down by the costs of licensing all of these disparate systems. With so many moving parts, there are more opportunities for things to go wrong.

These challenges, along with developments like the increased digitization of business brought about by the COVID pandemic and ever-heightened customer expectations, are some of the factors that have led to the rise of the DXP.


What is a digital experience platform

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What DXPs do

A DXP enables the creation, management, delivery and optimization of digital experiences in a variety of channels and contexts. It serves as the hub that brings together capabilities from multiple applications or modules to deliver a seamless digital experience.

Marketers considering the adoption of a DXP should understand that the way these platforms have come together — through acquisitions and integrations, for the most part — means that native capabilities differ from one offering to another. Additionally, the modularity of these offerings is a point of differentiation — some vendors offer more composable configurations than others. However, all should feature either native functionality or connections that enable the full range of capabilities explored here.

The core capabilities of DXPs, provided either natively within the platform or via an integration include:

  • Content management, which may include digital asset management and/or product information management (PIM)
  • Support for multiple platforms and types of experiences
  • Delivery, presentation and orchestration of content and experiences
  • Personalization
  • Analytics and optimization
  • Search and navigation
  • Customer data management
  • Strong functionality for integration and extensibility

Additional capabilities which may or may not be part of a DXP are:

  • Commerce capabilities, including payment gateways
  • Customer relationship management and communications
  • Campaign management
  • Marketing performance management
  • Development platforms for multiple types of experiences, including low-code application development
  • Data enrichment

Let’s explore each of these capabilities in more detail.

Content management

Digital experience platforms provide CMS functionality such as an interface for inputting and editing textual content. This may include built-in or customizable workflows for collaboration, editing and approvals. Because this content repository will store elements to be delivered and displayed on multiple platforms and in a variety of contexts, the tools typically allow for extensive customization of the fields associated with an individual piece of content.

Functionality also often includes the capability to re-use and re-purpose modular content blocks within larger assets.

Like CMSs, DXPs will always include some sort of media library supporting images and videos, but some go further by integrating full-fledged DAM or PIM solutions. Support for more advanced types of content, such as 3D objects, VR or AR will differ from solution to solution.


What is a digital experience platform

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Support for multiple platforms and types of experiences

One of the developments driving the growth of DXPs is the proliferation of devices and platforms to which marketers must deliver content. DXPs enable the same content, or versions of the same content, to be delivered to websites, mobile apps, smart speakers, podcasts and OTT. They may also support platforms, such as in-store kiosks or drive-through displays, that take digital content into the bricks-and-mortar world.

The DXP may incorporate functionality to convert content from one format to another (PDFs to JPGs, for example), or from one language to another, to facilitate the customization of content to the place where it will be consumed.

Delivery, presentation and orchestration of content and experiences

In addition to serving as a repository for content of all types, DXPs must be able to (either natively or through integrations) deliver experiences that utilize personalization and context awareness. Many players favor a headless or hybrid approach, which allows for flexibility in presentation and enables marketers to more easily make shifts to respond to changes in the marketplace. This element may include or link to a content delivery network, which can
improve the speed of delivery and redundancy.

Personalization

Key to that delivery and presentation is the ability to leverage data and insights to tailor experiences to the needs of the content consumer. This capability may be enhanced by artificial intelligence or machine learning, which can enable automated personalization.

Personalization features tie closely into the analytics and optimization functionality as well as customer data management.

Analytics and optimization

DXPs may include features for A/B or multivariate testing and optimization, as well as analytics to provide insight on customer journeys, campaign optimization and the business impact of content.

Search and navigation

DXPs include features that enable sophisticated site search by indexing content and interpreting search queries, as well as presenting results. This can also include category pages to aid navigation, as well as filters that let users drill down to find the information or products they’re seeking.

Customer data management

Customer data management in a DXP is often offered via a built-in or integrated customer data platform, which collects data from across the enterprise and resolves identity to create individual profiles. Features include the development of audiences that can be utilized in the orchestration of campaigns or experience personalization.

Strong functionality for integration and extensibility

This is probably the most important capability offered by DXPs, because it is fundamental to their role of bringing together all of the technologies that contribute to a customer-centric experience. To fulfill this mandate, many vendors offer pre-built connectors, plug-ins or advanced integrations that have already been created and proven reliable. Such capabilities can speed implementation and time to realizing value.

When pre-built connectors aren’t available, DXPs have APIs that enable integrations, though setting these up will require application development.

It should be noted, however, that all APIs are not equal. While a REST API has become standard for nearly every martech application, many developers don’t consider it adequate for the content management use case because it is relatively indiscriminate in the data it returns for queries. Some vendors offer the newer GraphQL API, which is more flexible, allowing more specific queries that deliver more granular results. This efficiency reduces the
load on the webserver and therefore results in a faster experience.

Another related capability — stronger in some vendors than others — is the community of developers, systems integrators and agencies that vendors have fostered. In many cases, especially for customers with complex business needs, the support of strategic and integration partners will be critical, especially at the start of DXP adoption. In short, the more developers out there familiar with the ins and outs of a vendor’s technologies, the easier it will be for a customer to find assistance at a reasonable price point.

Low- or no-code development platforms

While this capability is not universal among vendors, it’s an area that appears to be gaining steam. These platforms allow non-developers to create applications and experiences in a more user-friendly interface — more user-friendly than writing lines of code, anyway. Using these platforms still requires a fairly sophisticated understanding of technology, however.

What are the benefits of using digital experience platforms?

Modern marketers are called upon to deliver coherent, customized and compelling user experiences to more devices and platforms than ever before. Enterprise digital experience platforms can help marketers in this pursuit by providing the following benefits:

  • Faster, higher-performance websites with better search engine optimization. Traditional CMSs have become a pain point for marketers seeking to speed the delivery of their content — especially on more bandwidth-constrained devices like smartphones. With Google penalizing slow-loading sites by ranking them lower in search results, failing to achieve speed benchmarks can have serious revenue implications. Adopting a more modern headless or hybrid architecture that shifts the computing heavy lifting to earlier in the publishing process — well before the end-user device requests the content — can improve speed, and with it, revenue, dramatically.
  • Ability to deliver a better user experience. Beyond the speed improvements offered by headless and hybrid CMSs, they also allow developers to tap into more modern programming languages and frameworks. Additionally, developers can be more creative and craft solutions that are more tightly tailored to a business’ needs, rather than being constrained by the limitations of a traditional CMS.
  • More stability and reliability. Traditional CMSs deliver websites from a single server or a few redundant servers. With the DXP approach, content can be delivered from a highly distributed content delivery network, where one server can pick up the slack if another is down, ensuring that the site is never unavailable. This benefit can be especially compelling for e-commerce sites, which risk customers buying elsewhere if they have technical difficulties.
  • Easier delivery of content to new and emerging platforms. The number and types of digital devices — from desktop computers to in-store kiosks to VR headsets — is inevitably going to continue to grow. Rather than develop an entirely new CMS to deliver content to these new device types and apps, a DXP allows brands to utilize the existing content repository with a new presentation layer designed for that particular form factor. This also saves the ongoing time and resources that would be required to copy content from one platform to another when it’s meant to be delivered to multiple destinations.
  • Enhanced ability to reuse and repurpose content, leading to greater ROI. What a digital asset management system can do for visual content, a headless or hybrid CMS can do for textual content — it can serve as the single source of truth for brands’ content strategies. With tagging and other capabilities built into these platforms, it becomes easier to find, reuse and repurpose pieces of content for other devices and locales (sometimes automatically), resulting in greater revenue driven from the initial investment in creating each piece of content. Given the fact that DXPs often incorporate DAM or PIM capabilities, these benefits carry over to content in other formats, as well.
  • Fostering a modular, more agile approach to content. While it’s difficult to quantify, another benefit of these systems is that they encourage marketers to think about content in a more granular and agile manner. The more flexible architecture and general approach enables regular learning and iteration, and may help marketers gain a different perspective.
  • Unification of analytics, giving marketers a more comprehensive view of strategy and spend. DXPs also unify analytics so the task of evaluating the ROI delivered from content can be done on a single platform, rather than shuttling data from one system to another.
  • Improved personalization, optimization and the unification of customer data. A DXP’s approach to managing customer data — especially those with full-fledged CDPs as parts of the platform — brings with it the benefits of unifying data across the enterprise. This allows marketers to get a more comprehensive view of the customer journey which, in turn, lets them customize the user experience to deliver the next-best-action for each individual.

1643752149 694 What is a digital experience platform

Explore platform capabilities from vendors like Sitecore, Optimizely, Pantheon, WordPressVIP and more in the full MarTech Intelligence Report on digital experience platforms.

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About The Author

1641869137 309 Does your marketing team need an SEO platform

Pamela Parker is Research Director at Third Door Media’s Content Studio, where she produces MarTech Intelligence Reports and other in-depth content for digital marketers in conjunction with Search Engine Land and MarTech. Prior to taking on this role at TDM, she served as Content Manager, Senior Editor and Executive Features Editor. Parker is a well-respected authority on digital marketing, having reported and written on the subject since its beginning. She’s a former managing editor of ClickZ and has also worked on the business side helping independent publishers monetize their sites at Federated Media Publishing. Parker earned a master’s degree in journalism from Columbia University.


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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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