MARKETING
Twitter Releases New Political Ad Policy Following Announcement of Ban on Political Ads
Twitter CEO Jack Dorsey was heavily praised last month when he announced, in no uncertain terms, that Twitter would ban all political advertising on its platform.
We’ve made the decision to stop all political advertising on Twitter globally. We believe political message reach should be earned, not bought. Why? A few reasons…????
— jack ???????????? (@jack) October 30, 2019
This followed a speech from Facebook CEO Mark Zuckerberg, in which he defended his platform’s decision not to subject political ads to fact-checking, under the guise of ‘voice and free expression‘ – i.e. letting the people decide what’s true and what’s not from political candidates. By comparison, Dorsey’s stance was a welcome relief, a social platform CEO who was willing to take a stand.
But even as Dorsey announced it, others – like Presidential candidate Elizabeth Warren, and Instagram chief Adam Mosseri – questioned how it might actually work in practice.
This is one of the key issues many miss about banning political ads on any platform. You can’t ban these ads without significantly inhibiting the ability of activists, labor groups, and organizers to make their cases too. https://t.co/YjIgKsVDyJ
— Adam Mosseri (@mosseri) November 5, 2019
Now, Twitter has released its full, revised political ads policy, which doesn’t go as far as initially suggested, but does seek to limit the use of Twitter ads for political campaigning.
First off, Twitter says that it will prohibit the promotion of political content, with “political content” defined as:
“Content that references a candidate, political party, elected or appointed government official, election, referendum, ballot measure, legislation, regulation, directive, or judicial outcome. Ads that contain references to political content, including appeals for votes, solicitations of financial support, and advocacy for or against any of the above-listed types of political content, are prohibited under this policy. We also do not allow ads of any type by candidates, political parties, or elected or appointed government officials.”
Which seems petty clear-cut – but what about the noted conflict between political campaigning and activism by non-politically affiliated groups?
For this element, Twitter has also launched a new ad category called ‘Cause-based advertising‘.
Under its ’cause based’ banner, Twitter will allow for restricted promotion of ads that:
“Educate, raise awareness, and/or call for people to take action in connection with civic engagement, economic growth, environmental stewardship, or social equity causes.”
These ads cannot be used to “drive political, judicial, legislative, or regulatory outcomes”, and advertisers will need to be certified to run such promotions.
Twitter will also limit the targeting capacity of any such ads:
“Targeting is restricted and limited to geo, keyword, and interest targeting. No other targeting types are allowed, including tailored audiences.
- Geo-targeting may only happen at the state, province, or region level and above. Zipcode level targeting is not allowed.
- Keyword and interest targeting may not include terms associated with political content, prohibited advertisers, or political leanings or affiliations (e.g., “conservative,” “liberal,” “political elections,” etc.).”
Additionally, news publishers who meet Twitter’s exemption criteria will be allowed to run ads that reference political content and/or prohibited advertisers under its political content policy, “but may not include advocacy for or against those topics or advertisers”. So publishers can promote their coverage of the news, but not opinion pieces which advocate for a specific political angle.
That’s quite a few exceptions, a lot of wrinkles and potential gaps that Twitter will need to work out.
As noted by Will Oremus of OneZero:
“What it all means is that Twitter will now be in the business of divining the primary goal of every advertiser who places an ad that might have political ramifications, and deciding which ones will be allowed and which won’t. If that sounds hard to do in the United States, where Twitter is headquartered, imagine the difficulty in applying it to every country in which Twitter operates.”
And that really is a key consideration. The big focus here is obviously the upcoming US Presidential Election, but in 2020, there are also major polls happening in Egypt, France, Serbia, Brazil and many more. Even if Twitter does have a team equipped to manage and decide on US election ad approvals, based on these parameters, will it have the same capacity to handle all of these separate polls? Is it possible for Twitter to actually enforce these regulations in a uniform and balanced way across every election in every region?
It seems like a very difficult task – which is partly why Facebook has decided not to undertake it. Another, more skeptical view is that Facebook has less interest in removing divisive, debate-worthy content of this type because it fuels on-platform engagement – in a recent Facebook overview of its policy decisions on such, it included this fake news story as an example of content it won’t remove.
That post, by any scientific measure, is misinformation, and by allowing it, Facebook, and other platforms, enable such questioning of established facts to germinate. So should it take a stronger stand? And if it did, what impact would that have on Facebook engagement overall?
Would Facebook stand to lose out, with users then switching to other platforms to share such theories and false facts, and their related discussion?
There does appear to be some logic to the idea that Facebook may not be so interested in enforcing rules against political misinformation because of the higher levels of on-platform engagement it facilitates, and in this respect, Twitter deserves additional praise for even attempting to block the same. The impacts of removing political advertising on Twitter will not be the same as they would be on Facebook (Twitter made $3 million in revenue from political ads around the 2018 US Midterms, while Facebook has projected that US political ads would make up around 0.5% of its 2020 revenue, equivalent to around $428 million). But still, it’s a difficult task, and one which is going to open up Twitter to a lot of scrutiny, while also potentially hurting engagement.
The fact that they’re even attempting such is worthy of praise.
How effective Twitter’s bans will be remains to be seen, but Twitter has said that this is just the first step, and that it expects to learn as it goes, and build out more detail, especially for international markets.
It’s an ambitious attempt to address one of the core issues leveled at social media in recent times – and if it works, it may set a new precedent for dealing with the same on other platforms.
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.”
-
SEARCHENGINES6 days ago
Daily Search Forum Recap: September 10, 2024
-
SEARCHENGINES5 days ago
Daily Search Forum Recap: September 11, 2024
-
WORDPRESS7 days ago
Roadmap Update – WordPress.com News
-
WORDPRESS5 days ago
14 Tools for Creating and Selling Digital Products (Expert Pick)
-
SEO7 days ago
Expert Embedding Techniques for SEO Success
-
SEARCHENGINES4 days ago
Daily Search Forum Recap: September 12, 2024
-
SEO7 days ago
7 Strategies to Lower Cost-Per-Lead
-
WORDPRESS6 days ago
The Secrets of One of the World’s Largest Ad-Free Blogs – WordPress.com News