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How app marketplaces are putting marketers in the driver’s seat

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How app marketplaces are putting marketers in the driver’s seat

As the martech space matures, so have app exchanges that offer easier access for marketers to load up their stacks.

Today, Salesforce unveiled a new homepage for their AppExchange that helps marketers better navigate the marketplace of over 7,000 prebuilt partner apps. And this serves no small portion of Salesforce’s client base. They report that 91% of their total business customers use AppExchange apps, and that the exchange has surpassed 10 million downloads.

Teams have become more remote over the last two years, and business processes in many companies have transformed as a result. Even as some professionals reunite at the office and at live events, bringing people together requires more technology, not less. Hence, Salesforce’s Safety Cloud.

In feeding this appetite for digital transformation, HubSpot has more than doubled the number of app partners integrated with its CRM platform, reaching the 1,000-app milestone earlier this year. Organizations are using these tools to connect processes, teams and, importantly, their data.

“People are looking to aggregate their data in one common place and then looking at how they can activate it,” said Scott Brinker, VP of platform ecosystems at Hubspot. “What’s important to us in martech is that everybody loves innovation, but marketers don’t want to be in the business of fitting these things together.”

New intuitive experience for AppExchange

Salesforce is activating their customer data to help streamline the app discovery process in their AppExchange. They have a single source for each customer called the Trailblazer ID, and this helps surface a personalized experience through recommendations based on preferences, search history and other data points for Salesforce customers.

For instance, specific tech categories that a user has previously shown interest in or worked with, like within the Sales or Marketing Cloud, will appear now in the Top Categories section of the homepage when that user visits the AppExchange homepage.

An AppExchange live-chat icon also provides the opportunity for Salesforce customers to speak directly with app partners in real time. Additionally, the homepage surfaces relevant case studies for customers to view.

“We’ve seen an evolution with the AppExchange from a directory to a marketplace to a recommendation engine, and the use of AI really changed it,” said Leslie Tom, SVP of AppExchange Marketing for Salesforce. “The experience has gone from allowing customers to find and search for an app to more of a marketplace, where they look and find what they need. We’re moving in the direction where the experience is pushing the right apps by personae to customers, along with the right content and consulting partners.”

Video content isn’t embedded yet in the app experience, but it’s on the roadmap, Tom said.

“From our perspective, the same thing happened [internally as with our customers] where digital transformation was happening at lightning speed,” Tom explained. “When the pandemic hit, they needed the tools now to get business done.”

Partner integrations for B2B customers

Integrations for work-from-home tools like Zoom skyrocketed during the pandemic, pressing app marketplaces to expand their partnerships.

“Recommending apps to support customers was something that changed so much because we depend on bringing partners, customers, and the workforce together,” said Tom. “How do we connect customers and partners together? With AppExchange we’re asking how can we bring the experience back together.”

Read next: HubSpot app marketplace teams up with ON24

“Platforms like HubSpot have a responsibility to open up our API to make it possible to integrate with us,” said Brinker. “From a discovery perspective, our responsibility is to provide an organization governance, certifications, and show that the platform has reviewed an app. The platform’s job is to make it easier to integrate, install and trust.”

Connecting teams and departments within the organization

Now that there’s an even greater need for organizations to connect remotely, they need to find and install apps that streamline processes. Increasingly, teams across different departments also need access to work together.

“The category of products and the way they integrate is kind of related,” said Brinker. “For instance, between marketing and sales. There’s been a collapse of the customer experience through marketing and sales departments. Customers can’t distinguish what’s a marketing touchpoint or a sales touchpoint. These are internal hurdles in determining who was doing what. So that’s the low-hanging fruit – greater alignment between sales and marketing, just making sure to have data in common platforms.”

He added, “I think this next stage we’re at, is that an organization might have pretty good alignment, but they’re expanding that to customer service and support functions. If you have digital products or e-commerce, you want to connect that universe. And increasingly there is a need for finance and financial relations with these customers – showing the company is in good standing and producing lifetime value as finance sees it.”

Tom also cited financial services as a major growth area in the Salesforce AppExchange, with currently over 200 app in that category.

“Integrations are getting deeper, so it’s not just sharing data,” said Brinker. “Workflow automation enables work across these functions. Teams want to see if there’s some issue that’s happening in support or the renewals department. More and more of these integrations are being implemented in a shared workflow.”


About The Author

datafuelX launches predictive analytics solutions to improve linear TV and
Chris Wood draws on over 15 years of reporting experience as a B2B editor and journalist. At DMN, he served as associate editor, offering original analysis on the evolving marketing tech landscape. He has interviewed leaders in tech and policy, from Canva CEO Melanie Perkins, to former Cisco CEO John Chambers, and Vivek Kundra, appointed by Barack Obama as the country’s first federal CIO. He is especially interested in how new technologies, including voice and blockchain, are disrupting the marketing world as we know it. In 2019, he moderated a panel on “innovation theater” at Fintech Inn, in Vilnius. In addition to his marketing-focused reporting in industry trades like Robotics Trends, Modern Brewery Age and AdNation News, Wood has also written for KIRKUS, and contributes fiction, criticism and poetry to several leading book blogs. He studied English at Fairfield University, and was born in Springfield, Massachusetts. He lives in New York.


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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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