MARKETING
How B2B marketers can help sales overcome customer indecision
Customer indecision is now a leading reason for missing B2B marketing and sales pipeline and revenue targets. Historically, the status quo — doing nothing — was the ultimate competitor. But new research uncovers customer indecision, not customer indifference, is a major roadblock costing companies millions of dollars in new revenue.
That’s a whole bundle of opportunities stuck in your funnel, clogging your pipeline and baffling your stakeholders.
But there are things B2B marketers can do to help sales teams and their prospects overcome purchase indecision and win more customers faster. For proper context, and crafting the right strategies and tactics, let’s frame the challenge and the opportunity based on why and how business professionals and their organizations buy.
B2B buyers are dealing with FOMU, not FOMO
Authors Matt Dixon and Ted McKenna analyzed more than 2.5 million sales-customer engagements for their recently released book, “The JOLT Effect,” and discovered that:
- 56% of the customers who expressed the intent to purchase were lost due to customer indecision.
- Only 44% were lost due to sticking with the status quo — what the prospect has been doing or using.
Making the case to move off the status quo has been a popular sales and marketing strategy for several years. When a deal got stuck, status quo-busting was done primarily through “fear of missing out” (FOMO) tactics, including:
- Reconvincing the buying committee of the benefits of the solution by demonstrating ROI.
- Using fear, uncertainty and doubt tactics, emphasizing the cost of inaction.
- The xx% discount urgency play: “This deal is only good for this quarter.”
These tried-and-true sales and marketing tactics and all the tools and content created to bust the status quo are no longer working. Why? The authors emphasize that human beings — even successful business and technology leaders — are wired to avoid loss.
The fear of messing up (FOMU) is a major barrier for B2B buyers to pull the trigger on a purchase, no matter how compelling. Inaction is guiltless and perceived as less harmful than acting and making a mistake.
“The pandemic and volatile economy are certainly factors, but not the underlying cause of what’s stalling a large percentage of business-to-business purchases and deals companies were confident they had closed-won,” said Dixon. “Upon further discovery, we found what is holding companies and their decision makers back is the ‘fear of failure,’ something often missed by sales teams.”
Customers change in seconds, markets shift in minutes and business threats and opportunities appear daily. Betting on a technology, platform or service provider in a world where the pace of change is relentless has many organizations and their decision-makers stuck.
Dig deeper: Scarcity marketing: Does it still work?
How marketing can help overcome customer FOMU in the sales + purchase process
The “JOLT” thinking outlined in Dixon and McKenna’s book provides a strong foundation for marketing to lock arms with sales, product, ops and customer success colleagues to overcome prospects’ FOMU.
To do this, the GTM team must have a strategy and playbook on how to help their customers tackle the status quo (i.e., why change now) and then focus on customer indecision (i.e., how to change now).
Let’s break down the framework and outline prescriptive strategies and tactics marketing teams can use to work alongside their colleagues.
J: Judging the situation to create the right game plan for each customer
First, as marketers, we need to know the pipeline and the best opportunities as well as our sales colleagues. As equal owners of revenue generation, marketers should work closely with sales and other major account resources to qualify based not just on their ability to buy but their “ability to decide.”
This is where your 1-to-1 and 1-to-few account-based marketing (ABM) strategies can have a true impact. In your ABM efforts, marketing can create tools and forums to get customers to talk about their fear of failure. Think therapy and organizing and breaking down information in your communications, webinars, small roundtable or meet-up you organize in the field.
Over time using data, you will find patterns in the types of customer indecision, so you can more rapidly anticipate and put strategies into practice at the point of the prospect. Starting with hands-on work to test and learn the best plays is the right move for now. Efficiency and automation can come later.
O: Offering recommendations to simplify options for overwhelmed customers
The market is filled with noise. Many buyers and buying committees suffer from being overwhelmed by too many choices. Our natural reaction as marketers to convince somebody is to throw more options their way.
For example, integrations and configurations can easily overwhelm the decision team. A smart approach is to help them choose a path and a solution. Marketing can work with product, sales and ops colleagues to build and simplify packages based on their use case(s).
We can also increase our sales enablement effort to help structure and equip salespeople to guide the customer to proven, popular choices that have worked for other customers. Note that more case studies are not enough.
Dig deeper: Buying group marketing: The next evolution of ABM
L: Limiting exploration addresses customer information overload
The best sellers and marketers know that the more information the prospect consumes, the lower the probability they will find the answers they seek. We found that when teams continue to indulge the customer’s requests for additional information throughout the sale, win rates are only in the 16% range.
This is our natural tendency: create and send more content, shoot over more emails, etc. Stop! This may work early on in initial engagement but rarely works later as they move toward a decision.
Today, we have the data and tools to identify and take action when a prospect or customer is putting off a decision and why. One strategy is to limit the information by, for example, curating a recommended reading list or compiling a simple tool kit. This limits the overwhelming amount of info and demonstrates you get their needs and that you are a valued partner who will be there through the relationship lifecycle.
T: Taking risks off the table by instilling buyer confidence and creating a safety net
De-risking versus simply discounting price is another smart strategy to combat customer indecision. For example, marketing can work with sales, customer success and finance to:
- Craft a mutual value map, identifying key areas of ownership and accountable milestones and metrics.
- Co-create solutions and implementation roadmaps for the organization to bolster confidence with defined steps.
- Adapt contracts that include services, incentives, and/or safety-net clauses to take FOMU points off the table.
Marketing’s opportunity to shine by focusing on all stages of customer generation
Marketing can play a significant role in the full customer lifecycle by infusing customer indecision-busting strategies into their demand-to-revenue approach. The focus on defeating customer indecision also pushes us marketers to stop obsessing about generating mounds of new leads and trying to score and qualify only for sales to ignore them.
The most successful marketing teams don’t stay in their swim lane. Instead, as part of GTM and account-based strategies, marketers can capitalize on this revenue generation need to impact all stages of creating and expanding customer relationships and revenue.
Congratulations to Dixon and McKenna for their eye-opening research and instructive book for B2B sales, marketing and revenue professionals.
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Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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