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What Is Blockchain Marketing and How to Use It?

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What Is Blockchain Marketing and How to Use It?

Blockchain technologies have disrupted multiple industries – retail, real estate, and media just to name a few and transformed the marketing landscape, big time. To get ahead of the game, some of the major-league companies such as Apple, Microsoft, and IBM have already started implementing blockchain marketing strategies. Today, we’ll be digging deeper into this topic to puzzle out the concept of blockchain in marketing and advertising for you and explain it all through several use cases.

Blockchain Marketing Explained

The financial and banking industries are no longer the only ones leveraging the power of blockchain technologies. Now, IT, telecommunication, media and marketing industries are finding ways to implement different blockchain strategies into their existing strategies to boost efficiency, juggle marketing tasks, create better advertisements, and secure better relationships with customers.

According to tradecrypto.com, blockchain marketing is, in a nutshell, a game-changer element that brings together brands/businesses and their (potential) customers since it singles out middlemen and intermediaries (typical for centralized financial systems) which increases transparency, security and privacy, builds trust (all of which explain decentralization best), and reduces advertising frauds. The absolute best DeFi platforms could be good example of principles of decentralization and their reach has has been rapidly growing in the past few years for the above mentioned reasons.

What Is the Blockchain?

Blockchain is a decentralized public ledger that uses P2P (peer-to-peer) network for storing data across multiple nodes or, simply said, locations. New data exchanges are getting verified and stored into blocks while each of the blocks contains information such as the cryptographic hash of the preceding blocks, transaction data, and a timestamp.

Each and every transaction has to be first verified by users that are solving complex math problems and, once it does get verified, all nodes on the network get instantly updated. Once new blocks are verified, there is no way to reverse or change them.

What Are Blockchain Marketing Use Cases?

Affiliate and influencer marketing, social commerce, blockchain-based social media platforms – blockchain technologies offer a myriad of opporunities for all types of businesses.

Affiliate marketing is a multi-million dollar industry. Numerous companies and brands have their own affiliate programs or pay big bucks to affiliate networks. Either way, most of them are just wasting money. By using the power of blockchain technologies, companies can simplify payment processes, track pixels, ensure accountability and ward off ad frauds, and, finally, make it possible to eliminate the not so popular minimum payment threshold most affiliate networks use as an excuse for keeping the money for themselves.

Now that we’ve touched upon the ad fraud topic, we’d like to mention that advertisers lose billions of dollars to ad frauds (malicious advertising, domain spoofing, etc). Sometimes, ads are being displayed on suspicious, low-quality and low-traffic websites that bring no result to the advertiser. As already mentioned, blockchain removes third parties (networks, in this case) so advertisers work directly with publishers while ads are displayed to real users, which alltogether increases transparency.

E-commerce businesses can start using blockchain technologies, too – to enable faster transactions, ensure the authenticity of products and prevent scams, and protect customers’ identities.

Risks of Blockchain Marketing

Although the pros of blockchain marketing outweigh the cons, the latter are still worth mentioning. As an example, when a single entity is the owner of the majority of nodes, this entity can still be in a position to control data. On the flip side, implementing blockchain technologies is a time-consuming and expensive process, at least for now.

In this explanation how to crypto for beginners, one can learn pretty much everything they need to know for starters, although implementing the right blockchain marketing practices takes some trial and error and requires continuous testing.

How Did Blockchain Already Change Digital Marketing?

Just imagine being paid to watch ads! Instead of bombarding users, trying to push them towards making a purchase, some companies, such as Brave Rewards actually let consumers opt-in to watch ads and give them bounties – digital tokens or gift cards.

And then, you have several influencer marketing platforms (Patron, indaHash, and Socialmedia.market to name a few) that make it easier for advertisers to find the right people to promote their brands, ensure that these influencers are getting paid, and offer dispute solution services. These are just a few examples of how blockchain is already changing digital marketing.

Frequently Asked Questions

1. Can you run cryptocurrency ads of Facebook?

Well, it depends on what you want to advertise. If you want to run ads for a crypto exchange or a trading/lending/borrowing platform, crypto wallet that offer users to buy, sell, stake, and swap tokens, crypto mining hardware or software, then you’re going to need a permission to run ads on Facebook. On the other hand, crypto tax service companies, crypto-related news, events, and education platforms, and crypto wallets that allow users to just store and not trade or swap their tokens don’t need written permissions and can run Facebook ads.

2. What are some of the places where crypto brands can advertise?

Cryptocurrency brands can display social media and search engine ads on different crypto advertising platforms, such as Bitmedia.io, Coinzilla, and Biggico amongs others.

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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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