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What is sales enablement?

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What is sales enablement?

As a practice, sales enablement occurs when marketing teams create materials or share information that helps sales teams better convert prospects. However, certain marketing technologies called sales enablement platforms can help marketers to do just that. Functionality typically found in sales enablement platforms may include content enablement, automation and workflow tools, training functionality and analytics tools that provide insights to inform future strategies.

In the B2B environment, marketers have long played a critical role in the early stages of the sales process, when buyers are independently conducting research and forming the views that shape what vendors they consider and with whom they engage.

Read next: The B2B customer journey is set on a digital track

Recently, as the COVID pandemic dramatically sped digital transformation, pushing trade show events online and generally limiting in-person interactions, that trend has become even more pronounced. More than 79% of B2B buyers wait until after they have fully defined their needs before contacting a salesperson, while nearly two-thirds (57%) identify solutions first and 37% only engage sellers to nail down the details of a deal, according to the Korn Ferry Buyer Preferences Study, 2021.

At least in part, this aversion to working with salespeople seems to be driven by a perception that sellers are more product-oriented than solution-oriented, and don’t really know how to add value. That challenge has grown even greater during the pandemic as salespeople lost some of the rapport-building opportunities at in-person meetings and at events.

To a greater or lesser extent, sellers have had to learn new skills and develop methods for being persuasive using digital tools, and they’re not yet very good at it, according to the Korn Ferry study. However, they need to get better at it to survive, and they need tools to enable them to succeed because virtual selling isn’t expected to be a temporary phenomenon.


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Capabilities of sales enablement platforms

Though sales enablement has come together as a category in recent years, there are still some significant differences between the tools offered by the various vendors in the space.

Sales enablement platforms aim to bridge the gap between marketing and sales in B2B operations in a few different ways, with features like the following:

  • Content management
  • Content search and discovery
  • Content personalization and distribution
  • Coaching and training
  • Virtual salesrooms, including 3D virtual showrooms and personalized portals
  • Communications tools like VoIP calling and video conferencing
  • Collaboration
  • Workflow automation tools to log activity
  • Analytics to measure activity and provide insights.
  • Integrations with other business technology

More advanced functionality that lets vendors distinguish their offerings include features like:

  • Conversational intelligence, possibly including real-time in-call coaching
  • Artificial intelligence to suggest next best steps or determine how best to coach or train individual salespeople
  • Content creation, including in 3D, VR and AR

Let’s look a little deeper at the range of features offered by sales enablement platforms.

Content management

The key capabilities of sales enablement platforms, at least where marketers are concerned, relate to content. Primary among these is the ability to ingest and organize content assets in a variety of formats, with an eye toward making them easily found by salespeople. In some cases, the platforms index content located on existing file storage systems like Google Drive, Microsoft SharePoint or Dropbox, saving marketers the time of uploading all their content to a new system.

As with digital asset management (DAM) systems, these assets can typically be tagged and metadata can be added. Some systems use a familiar organizational structure like files and folders, but the systems also allow for the curation of these assets into micro-sites or portals associated with particular business goals — products, initiatives, vertical customer types or individual customers, for example. Sophisticated permissions structures ensure users only access the content they’re intended to see.

Content personalization and distribution

One idea that’s been widely discussed recently is that of empathy — customer surveys consistently find that buyers want businesses to understand their circumstances and the challenges they face, and tailor their communications accordingly.

Sales enablement platform features that address this include the ability for marketers to build templated content that can either be personalized dynamically or by the seller as they prepare to meet with the prospect. Marketers can also provide the building blocks that allow salespeople to create customized portals that address a prospect or customer’s specific situation. Content can also be tailored for different stages in the sales cycle or to overcome common objections.

Once these personalized experiences are created, platforms typically integrate with email, file-sharing and video conferencing tools for distribution.

Content search and discovery

For sellers to be able to put together these customized pieces of content, they must be able to find the building blocks and templates. And, if they’re not aware of them, they need to discover them. Finding is facilitated by search and navigation, along with filters that allow users to narrow the pool of results. Discovery is a bit more tricky, but these tools enable marketers to curate content elements tailored for particular situations. Artificial intelligence can also assist here in suggesting the next-best piece of content that should be shared with the client or prospect.

Coaching and training

Depending on the structure of the organization, marketers may or may not be involved in this aspect of sales enablement. Sales enablement platforms incorporate functionality to onboard new salespeople and familiarize them with what they’ll be selling, as well as to inform and educate sellers on an ongoing basis. This can involve textual or video lessons, interactive quizzes, video roleplaying and the like. Sales leadership can utilize analytics features to determine what a given salesperson should be learning or AI functions can suggest areas a salesperson should brush up on, with recommendations based on content use and consumption by customers.

Virtual salesrooms

Thirty percent of B2B sales cycles will primarily be run through a digital or virtual salesroom by 2026, Gartner says, predicting that they will be used throughout the customer life cycle. These experiences can take a variety of shapes, from personal mini-portals to tools that let customers configure solutions and get quotes, to a full-fledged virtual showroom designed to show off products. These virtual salesrooms can also include features like file sharing, chat, meeting requests, video conferencing and contract signing.

Communications and collaboration tools

Sales enablement platforms include capabilities to facilitate communication between sellers and customers, such as dialers, email tools and videoconferencing. They also incorporate functions that help marketing collaborate with sales. For example, a tool may let sellers give marketers feedback on certain pieces of content so that it can be made more effective.

Workflow automation

Rather than spending time manually logging the results of sales meetings, salespeople using these platforms can use automation features that perform this task. Some tools also let sales leadership establish frameworks that conform to popular sales approaches, or customize them to their own philosophies.

Analytics

The sales enablement function of measuring all of the activity that occurs around the marketing and selling process is a key benefit, allowing marketers to perform analysis and iteration that lead to more effective content. Additionally, sales leaders can track individual sellers’ performance and establish best practices to be shared through the organization.

Integrations

As with many other types of business technology, the ability to integrate with other tools — especially CRMs and tools for content creation and distribution — is nearly a foregone conclusion. However, vendors differ in terms of the types of integrations that are included out-of-the-box and which must be developed using APIs.

Tied into this capability is the strength of the vendor’s own developers and the community of agencies and systems integrators that are familiar with their solutions. Some vendors have stronger partner networks in certain geographical areas or with more familiarity with certain verticals.

Advanced functionality

Many advanced features offered by sales enablement vendors tap into less-common technologies like virtual reality or 3D modeling, both of which facilitate virtual showrooms where prospects can interact with models of the items being sold. Vendors in the space are also integrating features common in call analytics platforms, such as recording, transcribing and analyzing conversations between salespeople and prospects. This also includes realtime coaching that can be used to “whisper” in a salesperson’s ear as they are engaged in conversation with the client or prospect.

Vendors are also incorporating more artificial intelligence and machine learning-driven capabilities, such as tools that analyze the available data and suggest a next-best-action (or piece of content) that would help move a sale discussion forward. This type of technology can also suggest training or coaching that would benefit a salesperson.


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The benefits of using sales enablement platforms

The specific benefits of using an enterprise sales enablement platform include – but are not limited to – the following:

  • Improved effectiveness of sales content. Using the content repository within sales enablement platforms allows marketers to better showcase the content they’re creating for use by sales. With search and curation, sellers can more easily find assets that apply to their particular situation, plus customize them to address the buyers’ specific circumstances and business needs. Analytics functions let businesses determine how content is being consumed and what assets drive deals and revenue. When used effectively, this kind of function can improve the overall revenue picture.
  • Time savings for marketers and salespeople. Improved findability and curation mean sellers aren’t having to spend time searching for the appropriate assets. Workflow and content distribution capabilities can also drive efficiency if salespeople don’t have to switch from one software to another to get their jobs done. Savings for marketers will depend somewhat on how resources are deployed at your company.
  • Closer integration between marketing and sales. The analytics delivered by a sales enablement platform are of great interest to both marketing and sales, enabling the two functions to become more closely aligned. Collaboration capabilities allow marketers to educate sellers on the needs a particular piece of content is meant to address, while
    salespeople can provide marketers with feedback that allows for learning and iteration of content creation.
  • Better ROI from content investments. The analytics functions that help marketers understand how content is being consumed — both by sellers and by the clients and prospects they’re wooing — enable them to learn and adjust their strategy for developing new content. Additionally, since assets are more easily findable and customizable, each asset can be more fully utilized, rather than being allowed to drop off the radar after a given period of time.
  • Faster, more effective onboarding of new salespeople and adoption of new initiatives. Coaching and training functions can help businesses more quickly train new employees so they can begin to close deals. They can also assist marketers in rolling out new products to salespeople as offerings change or the sales approach shifts.
  • More holistic customer view, including of separate individuals in the buying committee. B2B purchasing decisions are typically made by a group of stakeholders (an average of 11 and sometimes as many as 20, Gartner finds), each of whom has their own role and interests. The analytics capabilities in a sales enablement platform can give users a more holistic view of a customer’s interests over time and can allow marketers to drill down into the particular needs of each member involved in the process.
  • Better compliance with legal regulations and brand initiatives. In today’s environment, salespeople frustrated by hard-to-find or missing content often “go rogue,” creating their own slide decks or other communications without consulting with marketing. A sales enablement platform can meet sellers’ needs while keeping them from distributing content that may not be aligned with corporate priorities or comply with restrictions that apply to highly-regulated industries.

About The Author

Does your marketing team need a digital experience platform DXP

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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