MARKETING
The smart CEO’s guide to strategic data management
Streaming 4K video uses up to 7 gigabytes of data every hour. In other words, if you streamed 4K television 24/7, it would amount to over 61 terabytes of data each year. That means that the streaming service stores not only those 61 terabytes of content but also data about you, your watching habits, the device you’re watching it on, your account and subscription information, your language and subtitle preferences and thousands upon thousands of other pieces of data.
Data is a driving force behind business in the modern age, which is why Strategic Data Management is too important for businesses to neglect. Strategic Data Management encompasses the entire lifecycle of data, from the kinds of data you collect to how you store and share it.
Key takeaways:
- Businesses are generating and collecting more data than ever.
- Strategic Data Management is a holistic framework for managing data from start to end.
- Optimizely can help you make the most of your data
Data in the digital age
Businesses generate, acquire and use huge amounts of data. The planet generated more than 64 zettabytes (or 64,000,000,000,000,000,000,000 bytes) of data in 2020 alone, a number that’s projected to grow by a compound annual growth rate of 23% every year.
While consumers generated some of that data, 95% of businesses say that managing unstructured data is a significant problem for their organization. As data increasingly drives business decision-making, companies are collecting more data than ever, which leads to a new complexity in storing and managing digital files.
However, despite the growing complexity of data management, it’s proven to be an effective way of boosting sales and increasing ROI. In other words, while data management is a difficult task, it’s an essential one. Data is so valuable for businesses that some have called it “the new gold” of the digital age.
Defining strategic data management
Strategic Data Management (SDM) is a set of frameworks or rules that an organization uses to manage data. Every company has data—things from documents to email records to directories. Strategic Data Management goes beyond simple data hoarding, which is why companies use it to gather the right kind of data, store it safely yet accessibly, glean insights and share it securely with others. Strategic Data Management covers four aspects of the data lifecycle: collecting, storing, analyzing and sharing.
- Collecting data is relatively easy, technologically speaking. What’s harder is collecting the right kinds of data and doing so in a way that makes that data useful throughout its lifecycle. That’s why companies use Strategic Data Management to define data acquisition and retention policies.
- Storing data used to be simple: back when business data existed exclusively on paper, data storage looked like a filing cabinet or a bookshelf full of ledgers. Today, data storage is exponentially more complicated but also exponentially more important. Data storage has to accomplish two things. First, data has to be secure so that unauthorized users can’t access or modify data. Second and seemingly conflictingly, data has to be accessible so that authorized users can access it reliably and remotely. Walking the balance between security and accessibility is part of why Strategic Data Management is such an essential practice for businesses.
- Analyzing data is what gives it its value. You already know every phone number in the world… you don’t know who the numbers belong to. Strategic Data Management includes a framework for making sense of data. Without a robust set of rules for how your company collects and stores data, even the best software in the world would have difficulty making meaningful insights out of it, which is why Strategic Data Management must be a comprehensive framework for managing data throughout every part of the lifecycle.
- Sharing data includes sharing with both internal and external parties. Similar to the double-natured requirements for storing data, sharing data has to be secure and accessible. Companies typically encrypt data when sharing it, a process that involves algorithmically “scrambling” plain text using an encryption key which the recipient then uses to decrypt the scrambled document back into plain text.
The value of strategic data management
In the past, data was just a byproduct of conducting business. Business activities generated data that companies could use to accelerate growth or discard with little consequence. Today that couldn’t be further from the truth.
Data is a key driver for business decision-making. Consumer data is a valuable commodity—for example, an email address is worth an average of $89 to a brand over time, while medical records can be worth thousands of dollars.
A study by Experian found that 85% of organizations consider data to be one of their most valuable assets, but a lack of understanding hampers their success. Those 85% of organizations are most likely correct: Forbes notes that some companies’ data is worth more than the companies themselves. For example, American Airlines’ market cap (a not inconsiderable $8 billion) is completely overshadowed by the $19.5-31.5 billion dollars of customer data they own.
If this data is so valuable, why aren’t companies capitalizing on it? Simply put, they aren’t using Strategic Data Management to its full potential. Much of this precious data disappears into history: companies only capture a little over half the data they have access to and only leverage a little over half of that. Altogether, companies use less than 32% of the data they have access to, leaving the other 68% either uncaptured (44%) or unused (24%).
Digital experience management with Optimizely
The digital world is revolutionizing the business landscape at an incredible pace. While the technology used to follow behind business practices, today, many businesses have found themselves sprinting to keep up with technology’s pace.
Optimizely can help.
Optimizely is a CMS platform that specializes in digital experiences. That includes e-commerce, marketing and SEO optimization, and how your company collects, stores, analyzes and shares data.
Strategic Data Management is too important to leave up to fate. Trust the professionals at Optimizely to help guide your digital experience journey and make the most of your assets.
To learn how Optimizely can help, request a meeting and customized demo today.
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.”
-
SEO7 days ago
Early Analysis & User Feedback
-
AFFILIATE MARKETING6 days ago
What Is Founder Mode and Why Is It Better Than Manager Mode?
-
SEARCHENGINES6 days ago
Daily Search Forum Recap: September 6, 2024
-
WORDPRESS6 days ago
John Kostak of Web Dev USA – WordPress.com News
-
SEARCHENGINES5 days ago
Google August Core Update Done, Google Interview, Google Ads & Merchant Center News & The YouTube Algorithm SEO
-
SEO5 days ago
Plot Up To Five Metrics At Once
-
SEO4 days ago
Google’s Guidance About The Recent Ranking Update
-
SEO6 days ago
Top 10 Affiliate Marketing Platforms To Maximize Sales In 2024
You must be logged in to post a comment Login