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Today’s B2B buyers are calling the tune

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Today's B2B buyers are calling the tune

B2B marketing is a dance between the marketer and the customer.

The decision to buy is never easy, so the marketer must cater to the potential purchaser’s desire for more information, providing it until the right moment comes to convert the prospect into a customer.

But technology will not play the same tune this year. The tempo has changed. The music is different. And the dance steps are faster.

The marketer and customer once did the tango. Now they are doing the twist.

Yesterday’s waltz

Things that used to work are being discarded. “Traditional sales calls are fading into the background,” said Lisa Ohman, COO of SEO solution Ubersuggest. Affiliate programs might drive sales with just five to 10 percent of membership. “The rest is noise and overhead,” she said.

“As with any industry, tactics and techniques fall in and out of favor.” Said Dennis Shiao, founder of B2B agency Attention Retention

“Five to seven years ago, two of the trendiest tactics for B2B marketers were infographics and SlideShare…These days, marketers still create infographics, but not nearly as frequently as before. SlideShare seems to have become irrelevant, sadly.” Shiao said. The first infographic got a lot of attention, but a single infographic today is hardly noticed in a flood of many.

“The lack of results is a big reason why tactics fall out of favor,” Shiao said. “Tactics that continue to produce results do not fall out of favor. One example might be well-written, longform blog posts, though achieving success with these is more challenging today than it was in the past.”

“The ebb and flow of channels and tactics are strange; they go up and down, yet rarely ever die” said John Wall is a partner at analytics firm Trust Insights. “Digital ads are getting less effective as privacy has become a higher concern,” he said, “and prices going up at the same time.”

Read next: Why we care about B2B marketing

Today’s whole shack shimmy

It would be cynical to say that new technology merely empowers one to do the same old thing in a new way. The cow path is paved with such gold bricks of foolishness. The challenge is on the marketer to figure out how to find a way to use new technology that plays to future strengths. Take video.

“I’d use a broader term for the category, which is ‘multimedia,’” Shiao said. “It encompasses slide-based webinars, audio podcasts, application screen shares and more… multimedia content should complement written content… For me, however, the sweet-spot combination is a high-quality written article with YouTube or Vimeo videos embedded adjacent to the copy.”

“We’ve found that for many organizations written content is most common early in the buying process and video is closer to the moment of purchase and used for post purchase, but this is different for every product.” Wall added.

Written content is great when someone is looking for information, but video can explain value, Ohman said. “I don’t need the article. Show me.”

Social media is another avenue of approach, but it must be more than being a place to dump content.

Ohman sees an opportunity to take social media to the next level. “Don’t talk about yourself. Get someone else to talk about you.” Here creative partnerships come in handy as “people are looking for social proof.”

“LinkedIn is always our first choice for B2B.” Wall said. “The fact that it’s business first, and there are paying customers who are doing recruiting [there], makes it an entirely different thing than social networks that are built around only advertising, which then creates incentive for clickbait and other sensationalism.”

“While B2B companies need to claim their brand handles and have a presence on the major platforms, start by picking one or two to focus on.” Shiao said. “On Twitter, a tactic I found successful is finding Twitter chats in your industry. A Twitter chat happens on a specific day and time (around a particular hashtag) and usually lasts for an hour. Participate in the chat from your brand’s Twitter handle. Relative to all your other Twitter activity, the engagement from these chats can go through the roof.”


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Learning new steps without missing the beat

So what can B2B marketers do? Despite all the change, marketing fundamentals remain the cornerstone of practice.

 “Adopting new technologies is always a challenge, on one hand you have to learn how to effectively publish on the new platform…and then you have to have marketers who can effectively communicate through copywriting and compelling content, which is an art in itself.” Wall said. “For B2B marketers, do everything you can on the product marketing side. This will give your content more credibility, and help you better communicate value.”

“Get back to the basics, which has nothing to do with a change in thinking or a new technology. It’s about understanding your target audience.” Shiao said. “I often say that my wife knows me better than I do. B2B marketers should strive to know their audience better than they do. This comes from studying and observing them and it also requires engaging with them (e.g., having meaningful conversations). If you know your audience better than they do – or even if you know them as well as they do – your content and campaigns will be all the more effective.”

People struggle with new technology and the change it brings. If a current technique is producing conversions at two percent, why risk a new technology that can produce a five percent conversion — or zero? Sometimes it pays to try a manual technique on a smaller scale to produce and measure change, then understand how the customer used that new information in their journey to purchase.

Ohman related best practice this way:

  1. Personalization. “Be scrappy about it.”
  2. Encourage your people in lead generation and sales support to bring in the human experience.
  3. Drive value. Even if you provide value at the risk of “sharing the secret sauce”, do it anyway. It may unlock new levels of opportunity.
  4. Data. Data. Data. Data. Data. The more you find useful, the better.

About The Author

William Terdoslavich is a freelance writer with a long background covering information technology. Prior to writing for Martech, he also covered digital marketing for DMN.

A seasoned generalist, William covered employment in the IT industry for Insights.Dice.com, big data for Information Week, and software-as-a-service for SaaSintheEnterprise.com. He also worked as a features editor for Mobile Computing and Communication, as well as feature section editor for CRN, where he had to deal with 20 to 30 different tech topics over the course of an editorial year.

Ironically, it is the human factor that draws William into writing about technology. No matter how much people try to organize and control information, it never quite works out the way they want to.

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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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