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The B2B customer journey is set on a digital track

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The B2B customer journey is set on a digital track

A major theme at the upcoming MarTech conference will be the dramatic ways in which the customer journey has changed over the last two years. Our perception is that changes in consumer expectations and buying practices are reflected in similar changes for the B2B buyer.

To confirm that our perception is well-founded, we turned to John Bruno, VP strategy at PROS, the AI-powered platform that helps major brands price, configure and sell products and services. Bruno previously spent almost five years at Forrester on the sales technology and B2B e-commerce beat. “I have responsibility for our corporate strategy, a lot of what we do around go-to-market, as well as our corporate development where we think about mergers and acquisitions.”

In his role, Bruno spends a lot of time listening to the B2B sales teams that PROS serves. “Actually being a partner with our customers is really important to us. We do spend a lot of time talking to them about the dynamics in their markets, and they share with us stuff that they’re doing.” Additionally, it’s important to PROS to conduct internal research on the state of B2B selling. The company started out some 30 years ago helping airlines with dynamic pricing. Today, PROS is behind most of the world’s airfares, Bruno estimated, and also supports enterprise CPQ in many other verticals.

With B2B sales processes becoming digitized, many businesses aren’t far behind what airlines have been doing for so long, Bruno said.

Digitized B2B selling

“A lot of organizations started down this path before the pandemic,” said Bruno. “It’s always been on the priority list but may not, in previous years, have risen to the top three or top five. All the pandemic did was move it up the list. It was something every organization was going to tackle eventually, but that ‘eventually’ snuck up on people pretty quickly when the pandemic happened.”

A digitized customer journey was what many B2B buyers were craving. “The most valuable commodity we have in terms of customer engagement today is information. Historically speaking, that’s been something B2B organizations have often safeguarded — by holding onto information I can hold onto the power dynamic of the relationship. But now that information is more readily available, you’re no longer in control of that power dynamic — the customer is, and they can make more educated decisions.”

“You need to not put any roadblocks or barriers in their way,” Bruno said. “Quite frankly, if you’re going to make decisions pertaining to your sales process that create more friction for them there’s a lot of optionality out there for them to shop around and bring their loyalty elsewhere.”

Buyers, Bruno observed, overwhelmingly start their journeys on a digital device. This isn’t new. Bruno recalled from his Forrester days that the figure was something like 99% way back in 2017. “What’s different between then and now, you might have had a small sliver of research at the beginning of your buyer journey but because of what was then available to you, you then had to engage with a sales person or pick up the phone or send an email.” In 2022, B2B buyers can get much further on their journey — in some cases even complete the transaction — without support from sales.


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So what’s left for sales?

This purchasing environment means changes for B2B marketing, now charged with engaging with the customer further and further down the funnel, but also for B2B sales. “A lot of people think that, if marketing and these digital self-service technologies are doing so much for the customer, then the sales person’s job is going to be a lot easier. In reality, it’s quite the inverse,” Bruno said. “The job of a salesperson has become orders of magnitude more difficult.”

The reason is that the sales rep is typically dealing with prospective buyers that are already highly knowledgeable about products and services, likely without knowing what sources the buyer has been consuming. And the buyers can come armed with “very pointed questions.”

This implies the need for a fundamental change in what outcomes B2B sales reps are focused on. “For a lot of salespeople today, their outcome is still ‘Have I met my quota?’ What we’re going to start seeing is modern salespeople focused on the outcomes for their customer. In order for them to gain trust and credibility and build the kind of relationship they once had when all the power was in their court, it’s going to be dependent on their ability to help their customers achieve their outcomes. If you do that successfully, everything else will follow.”

Incentivizing the new sales model

It’s going to take a little while to transition organizations away from the status quo of quota-based metrics,” Bruno admitted. There are emotional as well as financial attachments to that long-standing traditional model. “I have seen some interesting things done, though. For starters with this massive influx of digital engagement and self-service — what do you do with those orders? Do people get credit for them? A lot of organizations are looking at the micro-level, what’s happening with the individual rep and the individual team. Where organizations need to get to is thinking about it at the macro-level — what’s best for the business, which is often what’s best for the customer.”

One thing a lot of customers now value is the self-service option. Bruno mentioned a window company — think large, elaborate windows — which saw self-serve, digital transactions go from 10% to 80% of their business during the pandemic. “If your customers prefer self-service and the self-service channels are more profitable for you, then maybe you think about incentivizing your sellers on, one, their sales, but two, how good of a job they’re doing at enabling your customers. I have seen organizations embrace this notion of buyer enablement as a key metric for compensation.”

This approach would see sales moving much closer to a customer success role. There’s something else driving that.


Explore capabilities from vendors like Adobe, Pointillist, SharpSpring, Salesforce and more in the full MarTech Intelligence Report on customer journey analytics platforms.

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The subscription economy drives long-term relationships

The influence of the subscription economy — widely, but not exclusively, seen in software sales, for example — should not be understated, Bruno agreed. “But there are many different flavors,” he said. “For example, Amazon: I want this product re-ordered with this frequency. I probably wouldn’t call that a subscription, it’s more of a recurring order. But as you evolve beyond that, you start talking about value, utilization. You think about transitioning from a capital, one-time purchase to more of a recurring relationship that’s value-oriented.”

B2B sellers will want subscription customers to renew, to be open to upselling, and also to keep them front-of-mind if they switch jobs.

Read next: How contact tracking tech can re-connnect brands with former customers

Competing on experience

It’s undeniable that businesses increasingly compete on customer experience,” Bruno said. “That’s something we saw front and center in the B2C world. Back in those years at Forrester, we looked at customer experience largely through a B2C lens. It boiled down to three characteristics, one of which was ease of use; two, effectiveness — was I able to get done what I set out to get done? And three, emotion — how did it make me feel? B2B is not really an emotional purchase, so we did a lot of research to understand what that other component was for B2B. Guess what it was? It was trustworthiness.”

There’s been a lot of emphasis recently on the importance of building trust in consumer markets, but people don’t completely alter their personalities when they move from consumer purchasing to B2B buying. “If you’re able to convey to your customer that you have their best interests in mind, if you can earn that trust, your customer experience skyrockets.”

Why is that important? “Companies that win in customer experience tend to win in business metrics like sales, margin or profitability.”


About The Author

Integrate announces the recipients of its College Game Changers awards

Kim Davis is the Editorial Director of MarTech. Born in London, but a New Yorker for over two decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space.

He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020.

Prior to working in tech journalism, Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.


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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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