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How to turn the great buyer resignation into B2B career opportunities

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Create a B2B GTM strategy that buyers, execs and revenue teams love

Marketers play a large, proactive role in the buying-selling process to generate revenue across the entire buyer lifecycle – from generating a new customer, to contract renewal, to solution expansion and cross-sell/upsell.

This is no small task, especially when B2B buyers, barraged by untimely automated messages, random cold calls and lackluster outreach from both sales and marketing, are opting out of vendor conversations. B2B marketing expert Tony Zambito calls this the “Great Buyer Resignation.” This phenomenon has progressively intensified over the last five years and is both a challenge and an opportunity for B2B marketers.

A reality check

Let’s tackle the B2B challenge first by capturing today’s reality. The B2B buying process has gone primarily digital; most B2B sellers and teams have not. Sales has limited access to prospects and customers. We know the facts. According to Gartner, more than two-thirds of the buying process is complete before buyers engage directly with a brand rep. Only 17% of the B2B buying process time is spent with a salesperson across all suppliers. And this scenario is only accelerating as digital native professionals become influencers and decision-makers.


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To contribute to revenue and customer generation, B2B marketers are cranking out “leads” to help sales generate revenue. Marketers are often using legacy marketing automation-centric practices developed during the first wave of marketing technology and lead generation. The teams are pushing out random campaigns in a world where prospects and buyers already know what’s coming when they download a white paper or attend a webinar. Cringe — here come the automated nurture and cadenced phone calls.

Compounding the challenge, prospect and customer outreach happens in silos via one-off campaigns, isolated channels and focused functional teams. And data is being used to justify spending rather than apply buyer and account intelligence to deliver more timely information, better buyer engagement experiences, and more creative outreach.

The change and challenge revenue teams face are real.

Marketing’s impact opportunity in the buyer and customer generation lifecycle

With change comes opportunities for B2B marketers who understand, embrace and develop a smarter approach to identify, engage and delight buyers. And it should be emphasized that B2B teams and marketers have begun their transformation as marketing works across their entire company to play a more proactive role in all revenue and customer generation aspects.

From talking with progressive B2B go-to-market (GTM) leaders, here are strategies to stop mass buyer resignation, advance your career and have a much more significant impact on revenue growth.

1. Drive the shift from push to pull marketing

We often focus our effort on pushing email, cranking out business development representative calls, blasting ads and putting up forms to engage B2B pros. The breakthrough strategies are built around moving from pushing stuff at prospects and customers to pulling buyers through their process. Give them control. Provide options and let them guide their own journey, based on their needs, with value-added assistance. This is an art and science to master. This playbook and skill-set is, and will continue to be, highly coveted.

2. Focus on moments we create, not just those touchpoints we capture

Capture” is primarily what we do today in the form of paid media engagement to generate leads, drive web traffic and white paper downloads, and sponsor events to scan and swipe badges. The best marketers are flipping this model and asking, “How can we create moments for the buyer?”

Moment creation requires a proactive, experiential mindset putting ourselves in the shoes of our most coveted buyers and accounts. Breakthrough moments and experiences can be done through:

  • Product-led growth (PLG).
  • Interactive and self-guided applications and videos.
  • Personalized workshops for prospective buying teams at your target accounts.
  • Curated web pages that feature topical and popular content aligning with themes your buyer has been researching or engaging with over the last quarter.

It doesn’t have to be over complicated.

3. Master the full customer lifecycle

Today’s market realities and company growth mandates underline the need to build GTM models, strategies and resources around the entire customer lifecycle. With today’s prevailing Annual Recurring Revenue (ARR), Software-as-a-Service (SaaS) and cloud subscription customer financial models, 50 to 70% of the profit comes from existing customers.

For a deeper perspective, a five percent increase in retention results in an estimated 25 to 95% increase in revenue.

4. Embrace data intelligence and science

We will not be effective marketing leaders or pros without the ability to access, use and interpret data. At a minimum, we must be proactive in using data to understand markets, customers, accounts and market trends. The ideal case is to be confident in turning data into insights and actions and applying data science to help guide investments, programs and experiences. Data cannot be used simply to justify or defend marketing spend.

The most in-demand marketing skills in a B2B buyer-driven world

Let’s look at a few past examples of marketing career breakthroughs to plot the future. Ironically, the emergence and mastery of marketing automation tools, data and campaigns created a generation of what turned out to be the marketing operations (MOps) profession. It’s become a well-compensated, highly respected and in-demand role. In another example, the rise of account-based marketing (ABM) created a shift of sales support-focused field marketers to revenue generation-focused members of the GTM team.

Based on the Great Buyer Resignation reality and market shifts, here are a few high-impact career opportunities for talented pros who want to up-level their professional world while positively impacting their company’s growth. It is important to point out these re-imagined roles all focus across the customer lifecycle and obliterate internal silos whenever and wherever possible.

  • Growth marketing: This high-impact role is the next level of demand marketing, which today has largely been focused on digital and paid media spend to generate qualified leads or pipelines. Growth encompasses the full customer/buyer lifecycle of revenue generation in today’s Annual Recurring Revenue (ARR) and Software-as-a-Service (SaaS) subscription world. It also focuses on identifying and activating the markets, drivers and industries to grow revenue and expand the company’s total available market (TAM).
  • Journey architects: To align with best-fit buyers and accounts, this craft is an ability to use buyer and account intelligence to create experiences to more naturally pull a buyer or buying group through their journey. With a full view across buyer channels and company touchpoints, this role expands beyond marketing to ensure more timely information. For perspective, this is the buyer-driven outgrowth of what was integrated marketing.
  • Revenue ops: It is very difficult to identify and engage buyers and target accounts if your view is only on sales, marketing, customer success or finance. This progressive function demands a full view of buyer and customer lifecycles. It unifies and analyzes data to empower the rest of the front-line, customer-facing players to act on intelligence and insights.

The bottom line on what buyer resignation means for our marketing careers

Now is an opportunistic time to capitalize on market and marketing shifts and commit to buyer-centric GTM strategies and tactics. If you see a new role or transformation opportunity inside your organization or at a new company, raise your hand and dive in. These are the times when careers are made and energized.


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

Scott Vaughan is a B2B CMO and go-to-market leader. After several CMO and business leadership roles, Scott is now an active advisor and consultant working with CMO, CXOs, Founders, and investors on business, marketing, product, and GTM strategies. He thrives in the B2B SaaS, tech, marketing, and revenue world.

His passion is fueled by working in-market to create new levels of business and customer value for B2B organizations. His approach is influenced and driven by his diverse experience as a marketing leader, revenue driver, executive, market evangelist, speaker, and writer on all things marketing, technology, and business. He is drawn to disruptive solutions and to dynamic companies that need to transform.

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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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