Connect with us
Cloak And Track Your Affiliate Links With Our User-Friendly Link Cloaking Tool, Try It Free

MARKETING

Paid and Organic are Indistinguishable

Published

on

paid and organic are indistinguishable

When that reality was, though, was a matter of extreme debate ~ Iliad & Odyssey

The idea of Paid Search and SEO being one, has been debated for years. Paid search is pay per click (PPC) traffic that is not free. You have to pay a cost dictated by Amazon, Microsoft Ads, Google, Oath. SEO is free search engine optimized organic traffic, think Yahoo, Google and Bing here in the states. Referencing Wikipedia, “Webmasters and content providers began optimizing websites for search engines in the mid-1990’s, as the first search engines were cataloging the early web”. Following close behind, Wikipedia states, “there are several sites that claim to be the first ppc model on the web, with many appearing in the mid-1990s”. 

Debates surrounding organic search and paid have been going on since the 90s, this is clear. What is not clear is just how indistinguishable the two are. Google, launched in 1998, AdWords (now google ads) in 2000, how did this impact how advertisers’ market worldwide? Native advertising has been defined into 6 formats by the IAB, as a form of paid advertising, placed there to be indistinguishable from the content on the page, why? Content is king, disrupted more recently with fake news. Seamless cross channel amplification here in 2018, now includes voice, AI, search bots and in-market cross channel segments.

My Question To You

What is the difference between referral, ppc, display, organic, direct, and social? Is it personalization? A quick Google search states, and I quote, “Personalization is a means of meeting the customer’s needs more effectively and efficiently, making interactions faster and easier and, consequently, increasing customer satisfaction”.

Organic and Paid Search As One

Mitch Larson industry expert and friend at a top global agency told me more recently that, “I am having a hard time not thinking about organic and paid search as one. Not having an integrated strategy here has been a pain point for me”. A year and some change ago, I felt the same, reinforced after coming back from PPC Hero’s Austin conference and seeing Frederick Valley’s presentation.  (He asked Alexa to optimize all of his advertising accounts, Alexa with a smile, reported back with what she had already done). Since this conversation occurred between Mitch and I, Google went ahead and did some crazy things.

Some of the Crazy Things:

  • Smart bidding with conversion action sets at the campaign-level
  • Local shopping campaigns & gallery ads
  • Google patented search behavior
  • Google patented user intent
  • Search has adjusted from answering questions to answering Intent
  • Cross account optimization and a new U.I.
  • Expanded on variations across match types
life insurance paid search

Consider The Crazy

Things you want to consider that I agree with, per Mitch, “is companies large and small have departments working in a silos”, these departments do not have skill sets that cross disciplines. From my experience across matrix organizations you would be hard pressed to get them all in a room together on a regular basis. Furthermore, to add salt to a wound, large brands have been and continue defend brand with paid search. Knowing that you have to defend your brand, or a brand is a good target for customers. You have to make adjustments to your bids because a: as a brand your competition is out bidding your bad ads or b: you as a non-brand business are not as relevant even with a good ad. Either way driving up cost incrementally. The good news is that brands recognize a user experience is channel agnostic, when intent is in play, I need to defend my brand. The bad news is that a generic search for say life insurance sampled above, this time thanks to HealthIq.com and Getethos.Com, is the reason why bids continue to increase. Add on universal Attribution Woes, were brands like Farmers are close to solving for the walled garden, yet so far away from a comprehensive marketing strategy that aids in the bidding decision.

Advertisers Have No Answer

Still we open the door per Mitch’s questions, “Why are paid search marketers bidding on keywords that we are ranking very well for? and Can you quantify the results that having an ad in place where organic dominates decreases or increases your ability to convert?”. 

Back to my debate with Mitch, I said, “if strategy is no longer about building an ad, or paying for a keyword in a key wordless world”, Amazon is trying to bring back to life by the way, “that we should start to think of paid and organic as one.”   This is my opinion; and surely all methods of organic do apply to paid search across all channels. Data points from smartinsights.com suggest, “in 2017 46.8% of the global population accessed the internet and by 2021 this figure is projected to grow to 53.7%.” This is important for one reason alone, the data does not distinguish between paid activity and or organic, just an individual generic search itself, from accessing the web (It does not distinguish how the search occurred). Further supporting the idea that we should move away from distinguishing paid advertising and organic, SEMrush, “found that the number of direct websites visits to your site positively impact our organic SERPs position.” The math suggests from Martech.Zone that 39% of all global traffic, 35% from organic and 4% is from paid search. Leaving 61% of users going directly to a site, when one interacts online. Keep in mind there is very little public data about voice search. All this stated here means that the focus clearly has to be on quality.

The engines reward our sites at the end of the day based on quality. Quality theoretically is driven by user’s engagement with your site, direct traffic likely being a significant factor, less all other things like content, bounce rate, pages per session or interactions in general. Interestingly enough why is it that paid search focuses so much on content curation and how that is delivered. Isn’t this the idea of organic? BethKanter.Org defines content curation as, “the process of sorting through the vast amounts of content on the web and presenting it in a meaningful and organized way around a specific theme. The work involves, sifting sorting, arranging, and publishing information.”

seo and paid search query

Finally, thanks to the Farmers digital team for the sample. If you are not paying attention, or an advertiser having never seen Google Ads. You will click through the first thing you see which is an ad. The engines in parity partnership have been moving at an inconspicuous speed to make both Microsoft ads and Google Ads as indistinguishable to organic listings. 

In conclusion we can talk about a key-wordless future, voice, mobile, AI, bots, dynamic, native, responsive, css, html, flat, responsive ways for a user to interact with your advertising. Each goes a mile deep and requires a unique skill set, how about we stay a mile wide as an industry and start to focus our strategy on what is advertising generally. This starts with the consumer, turns into a query “paid or organic”, and ends with the consumer.

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

MARKETING

YouTube Ad Specs, Sizes, and Examples [2024 Update]

Published

on

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!

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

Why We Are Always ‘Clicking to Buy’, According to Psychologists

Published

on

Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

(more…)

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

A deeper dive into data, personalization and Copilots

Published

on

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.”

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending