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Optimizely 2022 Partner Awards: Congratulations to our winners!

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Optimizely 2022 Partner Awards: Congratulations to our winners!



Our Optimizely partners are critical to our growth and success. During Opticon 2022 and the road tour events, we were delighted to recognize these partners and the impact they have on our customers and community across the world.  

The Optimizely Partner Awards honor the outstanding contributions from our partners, and we’re pleased to announce our 2022 winners in the North American, Asia-Pacific, and EMEA regions. Check out the full list of categories and winners below.  

 

The Solution Partner of the Year award honors top-performing partners that have demonstrated outstanding business performance and excellence in the sales and delivery of Optimizely solutions. These partners have made the most significant contribution to the success and growth of Optimizely over the past year.  

  1677459180 105 Optimizely 2022 Partner Awards Congratulations to our winners

The Rising Star Solution Partner of the Year award recognizes emerging solution partners that are making exceptional efforts in collaborating with Optimizely to deliver innovative digital experience solutions. These companies have displayed remarkable growth in sales performance, product knowledge and implementation expertise and demonstrate exceptional promise. Congratulations to our winners!  

1677459180 893 Optimizely 2022 Partner Awards Congratulations to our winners  

The Digital Experience Solution Partner of the Year category focuses on the adoption of the Optimizely Digital Experience Platform (DXP) through solution partners. These partners are top drivers of DXP adoption and have successfully implemented DXP solutions that yielded significant business results and drove long-term growth for clients. Congratulations to our winners! 

  1677459180 615 Optimizely 2022 Partner Awards Congratulations to our winners

The Experimentation Solution Partner of the Year category focuses on Optimizely projects that drive experimentation, optimization and personalization. These solution partners have successfully implemented or maintained digital experimentation solutions that enabled clients to deliver customer-centric digital experiences that drove engagement and significantly boosted conversions. Congratulations to our winners! 

1677459180 753 Optimizely 2022 Partner Awards Congratulations to our winners

The Commerce Partner of the Year category focuses on the adoption of Optimizely’s B2B and/or B2C Commerce Cloud through solution partners. These partners are top drivers of Commerce Cloud adoption and have successfully implemented data-driven digital commerce solutions that resulted in sustained ecommerce growth for clients. Congratulations to our winner! 

  1677459180 122 Optimizely 2022 Partner Awards Congratulations to our winners

The Customer Choice Partner of the Year award recognizes solution partners with the highest quality of implementation and customer service. These partners are experts at helping Optimizely users drive business success and have shown a high level of engagement with clients and a deep understanding of their needs and outcomes. Congratulations to our winners:  

1677459180 922 Optimizely 2022 Partner Awards Congratulations to our winners 

The Technology Partner of the Year award honors the most forward-thinking technology partner that has added significant business value to Optimizely customers. This partner is a top driver of digital innovation and has successfully delivered highly effective solutions that integrate with the Optimizely platform.  

Congratulations to our winner Contentsquare! 

1677459181 931 Optimizely 2022 Partner Awards Congratulations to our winners  

The Industry Solution Award honors a technology partner that is changing the way organizations leverage data to unlock digital potential. This partner has proven mastery of the art and science of data-driven decision-making in their work, helping companies optimize customer journeys and drive significant business impacts.  

Congratulations to our winner Siteimprove!  

1677459181 669 Optimizely 2022 Partner Awards Congratulations to our winners  

The Digital Experience Technology Partner of the Year award honors a technology partner that has excelled in delivering applications and integrations that help Optimizely customers meet their unique digital experience needs, empowering them to build a smarter tech stack that enables advanced personalization.  

Congratulations to our winner Quantum Metric! 

1677459181 94 Optimizely 2022 Partner Awards Congratulations to our winners  

The Rising Star Technology Partner of the Year award honors a technology partner that has set the pace for innovation, empowering businesses to create digital experiences that drive outsized outcomes. This partner has displayed ongoing and exceptional growth in their Optimizely knowledge and integration expertise.  

Congratulations to our winner Fullstory! 

1677459181 818 Optimizely 2022 Partner Awards Congratulations to our winners 

The Best Technology Partner Newcomer award honors a technology partner that demonstrates commitment and the potential for long-term excellence within the digital experience category, significantly contributing to joint customers’ positive outcomes to improve digital experiences. 

Congratulations to our winner User Testing! 

Once again, thank you to all our partners for your ongoing commitment to innovation and excellence – and congratulations to our Optimizely 2022 Partner Awards winners!  

Looking for an Optimizely partner that can help you accelerate digital transformation? Explore our global partner network to find the right partner that suits your digital needs.  

Interested in growing your business with Optimizely? Learn about our partner program to find out how you can join us on our journey to boundless digital invention. 


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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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