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2022 Predictions: E-commerce everywhere

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2022 Predictions: E-commerce everywhere

Next year, e-commerce will be a driving force in how marketers engage with customers. E-commerce strategies will penetrate channels like TV, social media and in-store experience, to a greater extent than marketers could have imagined.

Marketers will adapt their e-commerce strategies to be more personalized, simplify their customer data and marketing stack, incorporate shoppable ads and even retrain their in-store associates to better accommodate digital-first shoppers.

Simplified stack

The future of e-commerce will be driven by personalization. To improve accuracy in messaging, as well as ROI, brands will have to simplify data sources and their e-commerce stack, according to Tracey Ryan O’Connor, Group Vice President at personalization technology company Qubit, which was recently acquired by AI-powered experience platform Coveo.

“Overall, brands have achieved a high return on investment in their personalization spend, but the e-commerce and digital marketing stack has grown very complex, which has led to disparate data sources that threaten the effectiveness of delivering personalized experiences,” said O’Connor. “As a result, brands began efforts to simplify the tech stack and cut down on the number of customer data sources from which they create actionable intelligence in 2021. 

She added, “I believe these efforts will accelerate in 2022 with simplification as the driver for further innovation in personalization leading to convergence with product discovery.”

Getting more personal

As we saw in the most recent holiday shopping push, seasonal events are spreading out over a longer period of time. Cyber Monday has become Cyber Month. And Amazon’s Prime Day summer promotions are really more like “Prime Week.”

In 2022, buyer journeys will continue to get more personalized. Marketers who pay attention to these data signals will gain a competitive edge.

“By merging personalization and product discovery, brand marketers and merchandisers will be able to leverage data from these sources, including the combined view of customers, to ensure they are tailoring each visit and experience at every level and every touch point of the shopping journey,” said O’Connor.

AI optimization

“We’ll see AI-powered personalization evolve to deliver more highly customized experiences in 2022,” O’Connor stated. “This entails machine learning models that consider all customer behaviors as well as various data sources that can be fed, ingested, and leveraged to better understand consumers at scale.” 

She added, “We’ve already moved past the one-size-fits-all AI model, to algorithms that meet the demands of individual customers without having to ‘test and learn’ each time. For example, new AI models can be used to power product carousels that are based on your location, or behavior, or even the weather.”

E-commerce merges with in-store

While the product discovery journey will be individualized through personalization, experiences in-store and online will merge. To understand the shape that this trend will take in the coming year, it’s important to note that e-commerce will be the engine that drives this merge.

“As in-store and online shopping merge, ecommerce will explode in 2022,” said O’Connor. “While shoppers are returning to physical stores, we’re not seeing a decrease in online shopping – in fact, we’re seeing continued growth. In 2021, we saw more people starting their shopping journey online, searching for the products they want at the best price and the actual transaction happening in-store. Even when the pandemic dissipates, online shopping will continue to flourish because this behavior is now ingrained and habitual.”

She explained, “In 2022, brands will be faced with determining how to adapt the blended online/in-store shopping experience to match the leaps and bounds that e-commerce has made over the past two years. This will be particularly important for retail sectors where shoppers still prefer an offline component to the experience, such as fashion or beauty, but in the end, we do not anticipate the online performance to decline because stores have reopened.”

Holistic approach to brick-and-mortar

Expect a holistic approach to physical store experiences that incorporates e-commerce and enables digital shoppers to get what they want out of their visit, said Nikki Baird, Vice President of Retail Innovation at retail technology provider Aptos.

“Prior to the pandemic, there was a lot of focus on creating experiential store concepts, almost as a way of trying to compete with the online channel,” said Baird. “Fast-forward to 2022 and we’ll see retailers pursue holistic store experiences that are focused on helping shoppers transition between physical and digital interactions with their brand.”

Baird suggested that one tool retailers might adopt more widely is the “virtual closet.” Shoppers would carry with them a digital representation of all the products they own from that retailer. They could reference this as they shop, as could store associates.

Empowered store associates

“Store associates will get a digital upgrade to contribute to the CX,” said Baird. “With all the investments that retailers made in online engagement during the pandemic, as store traffic rebounds, we’re seeing a lot of retailers begin to evaluate how they can offer a similar level of digital engagement in their stores.”

Sure, retailers want to make sure they don’t drop the ball by offering a seamless transition from digital shopping to in-store experience. The successful retailers in 2022 will make sure not to leave associates out of this equation.

“There’s still a significant percentage of shoppers who visit stores to engage with associates,” Baird said. “In 2022, savvy retailers will look to elevate the role of associates in the overall store experience and leverage mobile technologies to support this.”

IT upgrades

As more physical stores open up, a new era of digitally-enabled shopping will require investment for personalization, optimization and experience.

“Retailers’ financial recovery, combined with the fact that omnichannel shopping behaviors pushed legacy IT systems close to the breaking point during the pandemic, is going to drive investments in foundational modern technology systems in 2022,” said Baird. 

Supply chain challenges in the last year, along with raised consumer expectations, require retailers to provide real-time knowledge of what items are available for purchase and when they can be delivered.

“Retailers are at the point where they know they can’t fake it anymore,” said Baird. “They have to get the basics right – and this includes real-time inventory visibility. If retailers can’t provide real-time inventory visibility, they’ve already lost. There’s no way retailers can keep up with the speed of consumers without it.”

Ads will be more shoppable

Personalization and real-time visibility into inventory will also impact advertising, making ads more shoppable.

“Shoppable ad functionality is now playing a bigger role than ever before, especially as work-from-home shopping habits are colliding with supply chain issues,” said Oz Etzioni, CEO of AI-driven dynamic ad-serving and ad personalization platform Clinch. “The benefits of shoppable commerce extend beyond the consumer as well, providing retailers with invaluable insight into consumer preferences for future campaigns and for the brand overall.”

Channels like email and SMS have long used personalized data like recent purchases and abandoned cart items in order to become more relevant to shoppers and to boost sales. However, these personalized elements will be more integrated in display and TV ads in 2022.

“Both the biggest challenge and the biggest opportunity for marketers deploying shoppable campaigns in 2022 will be in shoppable TV,” said Etzioni. “The key will be utilizing all the tools available to them in making those shoppable ads as relevant as possible. This requires layering in first-party data and personalization that reflects a shopper’s environment, including time-of-day, weather, regional promotions and more. From there, marketers can gain a deeper understanding of their consumers and adapt more quickly with relevant CTAs that allow their customers to make purchasing decisions in real time.”

He adds that with continued supply chain issues challenging product availability, marketers should consider some kind of dynamic creative optimization (DCO) to send the most relevant up-to-date messages to customers.

“Now that product scarcity is growing across the board, retailers have had to rebalance focus from mid- to upper-funnel objectives, and they have had to do it quickly,” Etzioni explained. “For example, a car manufacturer with limited inventory wouldn’t want to fade away in the minds of consumers, so they’ve been shifting towards making sure that their customers are still aware of their presence, but not necessarily drive them towards the dealership.”

Social commerce will diversify

Social media platforms have long been sources of valuable word-of-mouth buzz for brands and products. In 2022, these digital communities will be major sources of shoppable revenue. And this means brands will be looking beyond Facebook to diversify and keep ad costs down.

“Diversifying your social shopping to new channels will be key,” said Rob Van Nuenen, CEO of e-commerce solution provider Channable. “Disruptive social channel Tik Tok will likely generate nearly 2 billion users in 2022, while Instagram and Pinterest are delivering relevant social commerce experiences. With that, social commerce revenues are poised to reach nearly $50 billion, so it is important to create a strategy using these channels.”

Marketers will add value to their social spend by incorporating “social proof” (user-generated comments and reviews) into their social presence and promoting special events and other engagement strategies, according to Rosa Hu, Vice President of Product Marketing for e-commerce marketing platform Yotpo.

TikTok’s recent partnership with Shopify — and its in-app purchasing capabilities — will give brands far better return on ad spend vs. competitors in 2022,” Hu said.

Many of these new e-commerce innovations will be driven by ROI. But to earn that return, marketers will have to become more nimble with their personalization data strategy, DCO execution and social media engagement. In doing so, they’ll build a deeper relationship with customers in 2022 while increasing efficiencies in their marketing budgets.

Read next: 2022 Predictions: Customer Experience & Digital Experience

About The Author

2022 Predictions Data strategy and privacy
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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