MARKETING
What’s Next for CRO Programs?
For nearly half a decade, Google Optimize has served as an online tool utilized by marketers for split-testing and personalization, enabling them to optimize conversions and enhance the user experience of websites.
However, as of September 30, 2023, both Google Optimize and Optimize 360 will no longer be available. In the period leading up to this date, marketers can continue running tests, but any ongoing experiments and personalizations will come to an end.
If you have not yet considered your options for the upcoming September deadline, now is the time to start evaluating alternative solutions. To assist you in this process, our experts offer an unbiased perspective on the next steps you should consider.
Why is Google Optimize Going Away?
Google plans to invest in partnerships with platforms like Optimizely and VWO which can offer more robust capabilities than Google Optimize currently does. Their primary focus now lies in providing effective tools for improving the user experience, leveraging the power of Google Analytics 4 and other integrations.
According to Google’s statement:
“Optimize, though a longstanding product, does not have many of the features and services that our customers request and need for experimentation testing. We therefore have decided to invest in solutions that will be more effective for our customers.”
What Does the Google Optimize Sunset Mean for Marketers?
The initial response from marketers regarding this news may not have been overwhelmingly positive. However, the good news is that there are alternative options available for marketers to utilize before the sunset of Google Optimize.
As previously mentioned, it is crucial for marketers to take action now and begin exploring these alternative solutions without delay to ensure a smooth transition before it becomes too late.
Can I still use Google Optimize after September 2023?
Effective September 30, 2023, both Google Optimize and Google Optimize 360 will be deactivated. Any ongoing experiments or personalization campaigns will remain active until this date, but they will be discontinued once the service goes offline.
Does this apply to Optimize 360?
Yes, the same applies to Optimize 360. It’s important to note that after September 30th, you will no longer have access to your experiments, and you will be unable to export or interact with them. Therefore, it is crucial to wrap up any necessary actions or data retrieval related to your experiments before the specified deadline.
How will Google Optimize impact my UA or GA4 setup?
If you’ve already completed the migration from Universal Analytics to GA4 – congrats! In that case, you can disregard this step. However, if you’re one of the companies who have yet to migrate (we sure hope you have by now) to GA4, it is advisable to consider including the migration of your A/B Testing tool along with it. By doing so, you can avoid the hassle of migrating from Optimize 360 to GA4’s Optimize, only to have to transition again after a few months.
What will happen to my historical Optimize data?
Google is encouraging all users to download their historical data from within the Optimize user interface before September 30, 2023. To download your historical data before the sunset date, see Export your Optimize report data. To access your historical raw data, use the Google Analytics Data API. Keep in mind, you won’t be able to access your experience inference results or your historical Google Analytics raw data after the sunset date.
Should I Keep A/B Testing After Google Optimize Sunsets?
The big question is for businesses that have been using Google Optimize’s free tool, is it now worth it to invest in a paid platform? Yes!
Here’s why:
- Conversion rate optimization (CRO) and landing page optimization (LPO) increases the value of your traffic, which makes your advertising dollars go further. When you increase your return on ad spend (ROAS), you can afford to spend more on advertising. More traffic plus higher conversion rates ultimately leads to more revenue!
- Furthermore, optimized landing pages increase your Quality Score and decrease CPCs.
Which Tools Can Replace Google Optimize?
At Tinuiti, we’re objective in looking at A/B testing platforms for our clients. Ultimately, we recommend the tool that best suits our client needs. Tinuiti’s CRO Strategist, Theresa Farr, dives into Tinuiti’s top picks for a Google Optimize alternative.
For businesses that are using Google Optimize, Tinuiti’s top two recommendations include VWO and Convert.com and here’s why:
1. Both platforms are established businesses (not startups reacting to the recent sunset) and they are among the first few testing platforms with a strong reputation.
2. Both platforms have sophisticated testing capabilities at an affordable price. VWO is now offering a FREE starter plan for up to 50k users per month.
3. Both platforms offer excellent customer service.
4. They also provide the ability to run mutually exclusive experiments to prevent cross-contamination of data.
5. They have appropriate guardrails in place for security, privacy and compliance.
To learn more about what is covered in each platform (see below):
Now, let’s take a closer look at these two market-leading A/B testing tools for enterprise businesses that use experimentation and conversion rate optimization:
VWO
Founded in 2009, benefits of using VWO include:
Connectivity of Insights: This includes heatmaps, recordings, forms, and surveys so marketers can get testing ideas and also conduct post-campaign analysis. Pro-tip: If you already use Hotjar, however, that can be integrated with either VWO or Convert.com.
Easy to use interface: This is helpful for tasks such as segmentation and reporting. Additionally, you can also do variation level traffic allocation.
Support for Multi-armed Bandit Testing (MAB): This allows marketers to dynamically increase visitor allocation in favor of the better-performing variations of your experiments. Pro-tip: This is a great feature to help reduce the opportunity cost of running an A/B Test.
Convert.com
Founded in 2008, benefits of using Convert.com include:
Built-in flicker prevention: They’ve conquered the dreaded flicker with a patent-pending SmartInsert technology. In fact, CXL ran a study that showed that Convert is one of the fastest A/B testing tools (ranked by time to load test variation).
Robust integration set: They have 90+ out-of-the-box integrations (compared to VWO’s 44).
Making a positive impact on the planet: Convert.com is climate-neutral certified (15x carbon positive) and a conscious business.
Google Optimize Alternatives for Small Businesses
For small businesses with limited or no budget for an A/B testing tool, we recommend the following options:
Utilize a free starter kit like VWO’s Free Starter Plan.
Implement Launch-and-Watch testing. Make a change to your website and compare data from one time period to another. Keep in mind that this method is less precise than A/B testing as it allows for external factors that can influence the results.
Consider user testing by hiring individuals to record their screens while attempting specific tasks on your website. This approach provides valuable insights into areas where users may encounter confusion or frustration. You can explore services such as UserTesting, Userbrain, and Trymata.
Conduct paid traffic campaigns that direct visitors to two different landing pages, and carefully track and analyze their performance to determine which one yields better results.
What’s Next for Google’s A/B Testing Capabilities?
Google and Optimizely have recently announced a collaboration related to GA4, but specific details regarding the implications of this collaboration have not been released yet.
Alex Atzberger, the CEO of Optimizely, expressed their commitment to assisting prominent brands in obtaining valuable data and remaining ahead of their customers’ evolving needs. He also mentioned the anticipation of welcoming Google Optimize customers into their community.
Considering that Google Optimize was free and Optimizely primarily catered to enterprise clients, this collaboration raises several questions about the potential beneficiaries. It remains unclear whether the collaboration is exclusively intended for Google Optimize 360 clients or if it will extend to a wider range of users. Further information is awaited to shed light on the specifics and the potential benefits that this collaboration will offer to businesses and users.
Next Steps
As the end of Google Optimize and Optimize 360 approaches, there’s no need to panic. During this period, marketers can still conduct tests, but it’s important to plan ahead for the September deadline. If you need guidance, Tinuiti’s experts are available to provide guidance and help you navigate next steps and the future of CRO together.
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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