MARKETING
4 key building blocks to success
Tech has turned marketing from a bit of a dark art to a tool for strategic business growth, but not without repercussions. Even more, consumers expect brands to not only remember — but to predict — their preferences, interests, likes and dislikes.
The omnichannel struggle is very painful to orchestrate and manage. Companies need a unified and seamless approach that eliminates siloed user experiences, making things more efficient internally and effective externally.
Marketing professionals now wear many hats. We need to be part marketer, part operations officer, part technologist, part data analyst, part revenue officer, part experience officer, consensus builder, diplomat, etc. We have to do more with less, as Gartner’s 2022 CMO Spend Survey found.
While marketing’s budget is rising (with over half of it going to digital channels), that same study reports that 61% lack the in-house capabilities to deliver their strategy. Part of that is because of the tech budget, or rather its constraints. A lack of resources — human, financial and time — poses challenges.
But managing all the cross-channel, interconnected moving parts can be overwhelming, particularly when working on many channels and trying to analyze all those disparate technologies.
How do you orchestrate ecommerce, campaign management, digital asset management (DAM), customer relationship management (CRM), customer data platforms (CDP) and personalization tools?
This is where a unified system — a digital experience platform (DXP) — can help make your marketing ops more efficient and effective. It does so much for you, not only saving you time and money but optimizing your marketing operations in the process.
What is a DXP?
Today’s customers expect seamless experiences as the baseline — so a DXP might sound very appealing. In a nutshell, a DXP promises an integrated way to manage all your tools and technologies in one place, from rich content to customer relationships to marketing automation and even internal workflows.
With so many tools, metrics and systems to keep track of to successfully deliver great customer experiences, a system that brings everything together might sound too good to be true.
But if you are ready and set up to use a DXP properly, it can be an incredibly powerful tool for:
- Updating content across all your channels and platforms.
- Carrying and inputting CRM data across multiple touchpoints.
- Helping you deliver consistent, personalized experiences to customers and internal stakeholders.
DXPs promise holistic, cross-platform seamlessness — but you must be prepared
While the promise of an integrated way to manage all your tools and technologies in one place is appealing, you need to be prepared. Ask yourself, is your company ready for this dynamic shift and prepared to invest long-term?
Many companies work very hard to prioritize customers getting that seamless experience. Yet, internally, they’re in a state of chaos because they don’t prioritize seamlessness holistically. It is critical to craft integrated and consistent solutions that are modular but connect the dots (and fill the gaps) of the digital experience.
This requires a shift in mindset. The organization must embrace a holistic, integrated approach and strong scenario planning to better predict what your business and stakeholders may need.
Dig deeper: Reinventing the digital experience platform
The 4 key building blocks to success
Being prepared can mean many things, but in my experience, it comes down to four things.
1. Internal and external alignment
A DXP functions best when there are clear priorities, tasks and functions across the company. You need all stakeholders to align on:
- What you’re doing.
- Who it’s for.
- Why you’re doing it.
- How you’ll do it (internal audit).
- Before building out your DXP apps and toolset, evaluate exactly what you have now. Then map out which ones you are already using, the functionality within them and what you are currently using them for.
- When you’ll do it.
- What success will look like.
- Roles and responsibilities.
Remember that buy-in and alignment require a data-backed strategy.
2. User-centered thinking
Always ask, “How do we meet our audience where they are in a way that’s relevant and easy for them to understand?” This comes down to empathy for:
- Your audience, employees, partners, stakeholders, etc.
- Their needs, pains and concerns.
Meet them where they’re at in their journey and deliver the right content to the right person at the right time, in the right place.
DXPs are massive, complex systems. It’s easy to get lost in the mechanics of integration and automation. With every new piece of functionality, you must remember the people you’re trying to serve and what their needs are.
Don’t let the system bog you down or make you lose sight of that. It’s about every stage of the interaction. The best user experience is one you don’t even know you’re having.
3. A consistent brand experience
If you’ve achieved alignment and created the map for the DXP, unifying your brand experience across all touchpoints will be a logical next step. Brand consistency is crucial as it can increase revenue considerably.
Why bother?
- Build loyalty and recognition.
- Branding will increase client trust in you.
Your brand is your business’s most valuable asset, but it’s an asset you never wholly own. Your customers also play a part in the opinions they form of you. A consistent experience is more than look, feel, voice and tone.
Externally, it’s about making sure that across touchpoints and platforms, every piece feels like it’s part of the same whole. Internally, it’s enabling your employees with the tools to do their jobs more effectively.
Let’s say a customer buys something in-store, signs up for an email list, gets an email, clicks through it, lands on a blog article and ends up on a product page where they’re pushed to your Instagram account. All throughout, the visuals and language need to be consistent. You need clear rules to make it easy for your team to uphold these standards.
Still, the key to a consistent brand experience for all your stakeholders stems from that alignment and user-centered thinking. It’s about being true to those goals through everything you do, how it gets expressed and how it’s implemented.
4. Creating a culture of feedback
DXP integration can make it easy to build opportunities for feedback into your processes across the board. However, designing a feedback culture isn’t something that just happens — it’s intentional. Build clear feedback processes to improve operations and performance.
No doubt, over time and probably right away, too. You’ll learn how to make significant improvements. Encourage your internal stakeholders to provide feedback on how these initiatives and tools are helping them in their day-to-day, but also what could be improved. Remember, it’s not enough to simply collect feedback. Action needs to be taken based on employee input.
Is it time to invest in a DXP?
Suppose you’re only investing in creating a seamless experience for your customers, while internally, you’re running around like chickens without heads. In that case, you’re doing yourself, your partners and employees and even your customers a disservice.
Eventually, something will fall through the cracks. You and your people are also today’s customers (for other companies), and you likely value seamlessness.
Are you experiencing any of the following?
- Siloed data across multiple platforms prevents you from really understanding what your customers are doing.
- The customer experience across your digital and physical channels is not personalized and disjointed.
- Decisions made are not data-driven and are based on guesswork.
- The cost of the tech stack needed to be efficient and effective is hard to justify.
- The cost of new customer acquisition is too high and you want to focus on retention and growing share of wallet.
If you’re hearing these points and nodding your head, your company is probably ready to invest in a DXP. Good luck!
Dig deeper: Does your marketing team need a digital experience platform (DXP)?
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Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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