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What matters in Marketo’s January 2022 release

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What matters in Marketo's January 2022 release

Let’s talk about the elephant in the room. Marketo Sky is sunsetting. According to Adobe, on March 11, Marketo Sky will no longer be available as Adobe focuses its resources on delivering the next-generation user experience.

On a personal note, I can finally stop thinking about Tom Cruise’s Vanilla Sky every time I read about Marketo Sky.

Now that we have that out of the way– let’s jump into the January 2022 Marketo Release Notes along with a few more references to popular culture along the way.

Landing page details facelift

According to Adobe, the next-generation experience will allow users to discover landing page asset details more efficiently.

So how can you view the next-generation experience? On your landing page view, you will see a notification bar allowing users to toggle between old and new experiences.

Read next: A marketer’s guide to Marketo today

The order of the drop-down list values under “landing page actions” has changed, and the UI has been updated with three buttons; notably, there is an “approve draft” option, so you don’t have to go to the landing page actions drop-down list. 

Information such as “created by/date” and “last modified by/date” are helpful additions to the landing page details page.

Why we care. Small changes in user experience may not make a huge impact. However, they all add up over time, resulting in improved efficiency. If we’re talking facelifts, this falls into the non-invasive surgery category versus a complete face swap like in “Face/Off,” the 1997 film starring John Travolta and Nicolas Cage.

The overall organization of the landing page details seems intuitive and improves the user experience.

AEP to Marketo connector for new lead creation

The ability to create net new leads from Adobe Experience Platform has arrived. When sending audience segments from AEP to Marketo, people who aren’t already in your database will be automatically added once you’ve completed the setup below.

When creating a destination, there is a new drop-down option. Previously, there was only the option to match existing Marketo people only. Now, users can match existing people and create the missing people in Marketo.

Here are the steps to take to enable this feature:

  1. From the destinations catalog, activate your Marketo Engage destination.
  2. Choose your account and make your destination. Select the new option for matching existing people and create the missing people in Marketo.
  3. Once the destination is created, you can add segments.
  4. Here, you will choose which segment you want to send to Marketo with additional mappings for the new people you will be creating in Marketo (email, first name, last name, and company name). Mapping these four fields to the source field is required for the connector to work correctly.
  5. Lastly, you will need to sync a segment from Marketo to AEP.

Why we care. For AEP users, the ability to create new people in Marketo by populating a segment will likely eliminate the need for manual list uploads. Automating list upload tasks is a great way to increase marketing operations efficiency.


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Getting tighter with form rules

Landing page and form security has been enhanced so that users can create global form validation rules in Admin.

In Admin, you can create new rules for the form, including the error message to show if someone violates the rule. For example, you can block a specific domain from submitting a form. If someone from the domain tries to submit the form, they will receive the error message you define in Admin.

There is a built-in rule-set that will block 2,000+ free consumer domains! You can activate this with a single click. The rule is populated in your instance (right now), and it’s called: Consumer Email Domain Blocklist. Note: This is where all the Marketo admins run to view the new Global Form Validation Rule option in Admin.

What matters in Marketos January 2022 release

Why we care. We love this update and plan to test right away to see if we can eliminate any unwanted form fills and encourage website visitors to use their business email versus a free consumer domain like gmail.com.

First of all, what is Sales Connect?

So what is Sales Connect anyway? First, a bit of history. Sales Connect was formerly Toutapp, acquired by Marketo in April 2019. It’s a paid add-on with your Marketo instance.

David Desrosiers, VP of product for our Marketo campaign operations tool, Jeto, explained, “The product falls into the sales enablement category, similar to tools like Salesloft. This Marketo Add-On for sales engagement helps manage calls, email nurture, and track activity– surfacing engagement signals and ultimately prospects.”

Now that you better understand the product, the feature release includes new call outcomes. Call reasons have been released to allow sales teams to log fully customizable values like “left voicemail” or “demo booked.”

Why we care. Desrosiers also explained, “Sales Connect acts like a mini CRM perhaps for customers without a CRM and definitely for customers without SFDC– since features are overlapping with SFDC Marketo Sales Insight.

It allows users to “push” leads to Marketo Campaigns individually, and more recently (2021) in bulk. Plus, users can track real-time prospect activity on a dashboard (sales and marketing related engagement actions).”

With more insights, outbound sales teams can better prioritize leads and efforts. In Salesforce, there will be two new custom activity fields, call outcome and call reason. This matters because it will enhance reporting capabilities. For example, compare positive call outcomes to campaigns to relate call outcomes to campaigns.

New governance capabilities will allow team leaders to mandate a call reason and call outcome in the Sales Dialer, as seen below before a call is completed. Admins can adjust the settings as needed, including customizing the list of call outcomes and call reasons.

1644005002 234 What matters in Marketos January 2022 release

Lastly, additional metadata will be captured and stored, including tracking activity like emails, calls, and meetings. According to Adobe, this feature enhancement will build alignment and visibility across sales teams. More metadata around sales activity will allow for better reporting with advanced segmentation based on metadata.


What matters in Marketos January 2022 release

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My type of sales insight

For those with Sales Insight (a paid add-on), a new column has been introduced on Sales Insight to identify the type of prospect in the Best Bets view. The new column is called type and will differentiate between prospects and leads. You will also notice the standard Adobe branding with the latest update and an updated API version.

Why we care. Previously, a seller could not differentiate between leads & contacts on the Best Bets tab. The branding and API updates are not expected to impact your work, other than retired older API versions.

Microsoft Dynamics users getting some love

Dynamics users will benefit from a few updates. Adobe describes those as follows:

  1. Syncing of the Multi-Select Optionset Field Type
  2. Server to Server (S2S) Authentication for Microsoft Dynamics 365 Online
  3. Sales Insight for Microsoft Dynamic/Updated Account Layout

Why we care. According to Adobe, these features will help users capture more granular contact information and bi-directionally sync data fields with multi-select options set fields. Think about use cases related to topics of interest or preferred modes of communication. As a result, Marketo users can use these fields within Smart List.

Related to S2S, documentation has not caught up with reality. For Dynamics integrations, Adobe and Microsoft both sent out notices that Basic Authentication will not be sufficient as of April. For integrations where the Marketo native connection was set up with Username/Password only, clients must upgrade to OAuth connections (using client ID and client secret).

S2S is one of the two connection protocols Marketo offers for OAuth (the new one). The other method is Resource Owner Password Credential (ROPC, already familiar to us as the method we had previously been using with OAuth connections).

This feature will allow sales teams to track activities both at the contact and account level– plus, view behaviors and surface engaged prospects with the Sales Insight enhancements. We are waiting to see evidence of Account level insights in our Sandbox instance of MSI.

View the January ’22 release innovations webinar here.


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

1644005002 630 What matters in Marketos January 2022 release
With 20+ years of experience in marketing, John is demand generation director at Perkuto, a MERGE company. His ultimate flow-state is positioning products and services, developing buying personas, and executing plans to attract best-fit customers. Determining the right content, campaigns, channels, and budget to hit revenue KPIs is where John thrives. Outside of the office, John is a father, husband and outdoors enthusiast.


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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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