MARKETING
How to Set Up a Successful B2B Marketing Strategy
When you’re designing or re-evaluating your business’s long-term game plan, it’s important to ensure you’re making all the right decisions. You need to think deeply about your marketing strategy – including your company’s value proposition, your plan to reach your target audience, how you will present your brand, and how you’ll take advantage of big bets for the year ahead. In a nutshell, you need to break down exactly how your business is better than your competitor’s.
If you’re a B2B company, however, there are unique factors of your marketing strategy to consider. For example, you likely have a longer than usual sales cycle – how will you nurture leads? How will you juggle multiple stakeholders per account (or business)? Further, how can your strategy enable sales to close big-ticket opportunities?
In this post, we’ll give you the information you need to answer all those questions and more. But before we discuss all the different frameworks available for your B2B strategy, we need to get into the right mindset by analyzing the current B2B marketing landscape.
Today’s B2B Marketing Landscape
There are five key trends that will impact B2B marketers in the years to come – an abundance of marketing technology, changing demographics, the growth of mobile marketing, the emergence of AI, and tightening data privacy restrictions. Let’s dive in.
MarTech Overload
If you are in B2B, chances are one or more of the following situations has most likely happened to your business or are currently taking place:
- During the rapid shift to digital that happen as a result of the COVID pandemic, your B2B company bought more marketing technology than what was truly needed
- Your business has overlapping platforms. For example: 3 platforms that do ABM in some capacity or 4 platforms that help with digital marketing management
- Your company has MarTech that solves for a unique problem
- Your data is not standardized or not connected throughout your MarTech stack, leaving information siloed
- No one “owns” certain MarTech and few know how to use the platform in full
With budgets constrained and CMOs asking their teams to do more with less, B2B organizations will need to reevaluate their marketing technology stack in 2023 and beyond. The number of platforms and solutions available to teams seems to increase every day – it’s simply not sustainable for B2B marketers to maintain and appropriately use these tools.
Performance measurement is a problem in the B2B space, but it won’t be directly addressed by obtaining more and more MarTech. It comes from your B2B strategic framework which we will be discussing later on this post.
Audience: Who is the B2B buyer today?
2023 is officially the year where Millennials and Gen Z have become dominant in B2B buying committees according to eMarketer. The American Marketing Association also states that 65% of buyers are between the ages of 18 and 40.
This is an important shift given the older generations (Gen Xers or Boomers) will likely want to engage with a sales representative in some capacity. However, these younger generations are more inclined to do their own research. Instead of trying to get them on the phone as quickly as possible, these buyers will want to explore different types of resources to determine if your business is the right fit for them.
The MX Group surveyed B2B Millennials to understand the challenges they faced when getting purchase recommendations considered or implemented, the answers were:
- 52% responded that too many people are part of the decision-making process. This number is expected to increase now give the diversity of buying committees
- 49% said their buying group is indecisive/misaligned. This makes sense as different generations trust different sources and perform research differently (online vs peer reviews vs network)
- 39% mentioned difficulty getting their budget allocated. This isn’t surprising given the economic hardships in the world economy
While it’s unlikely that your final decision maker will be a Millennial or member of Gen Z, especially when buying large ticket items, they are certainly influencing these decisions behind the scenes and providing alternatives to the buying committee.
Mobile is Growing for B2B
If you’ve been in the B2B space for a while you know that we always hear about the growth happening in mobile – but until recently, it was a small share of traffic. That’s changed as the pandemic and diverse B2B buying committees are impacting the growth of mobile traffic and actions very quickly.
2023 is the year where more than half of B2B digital ad spending will go to mobile, and while non-mobile traffic is expected to continue growing, it won’t be at the expense of mobile traffic.
Mobile traffic will bring a new element of complexity to B2B marketers. For example, most large purchases/contracts won’t happen on a mobile device, but that doesn’t mean we won’t be able to engage with them through actions made for mobile devices, such as, “read later” or “send to email” promotions. The connection between marketing and sales will be imperative to guarantee we are passing prospects down the funnel.
Additionally, make sure you have CRM data that allows you to really look at lead quality and engagement over CPL. This will be a helpful directional metric, particularly when large purchases are involved.
How is AI Used in B2B Marketing?
All the data showcases that AI won’t replace the human element in advertising or SEO, and the same applies to the sales team. However, AI is going to change common marketing processes and the level of effort on redundant tasks.
B2B companies were already interested in adding AI to their processes and with ChatGPT, the interest expanded and accelerated. The real question is, when and how will B2Bs be able to leverage AI? Here are some great places to get started:
- Content generation: Bloomreach is adding content generation capabilities across email, SMS, in-app and push notifications – all extremely manual tasks today
- Automating email for sales representatives: Microsoft’s AI tool called “Viva Sales” will generate email content for a variety of scenarios, automatically create executive summaries and call transcripts, and even generate AI-driven recommendations to create better seller experiences
- Customer segmentation: AI-based tools like Baremetrics and Optimove have built-in dashboards to subdivide your customers into specific groups based on their needs and characteristics
Data Privacy in B2B Marketing
Data is without a doubt critical for B2B success. Organizations hang onto data for long sales cycles and share that data with multiple stakeholders per account, so they need to work with data privacy and compliance experts and invest in strategies that guarantee data is managed and normalized across multiple internal systems. And while B2B companies are balancing those complex processes, they need to ensure they follow the latest privacy regulations.
Moreover, B2B buyers are looking to get experiences that are more closely related to what they experience in their day-to-day from B2C organizations. This means B2B marketers need to provide personalized experiences while respecting privacy at all costs and all times. That’s why we recommend following these best practices when working with B2B accounts:
- Use multiple sources of information: B2B prospects are complex. They can be located in multiple office locations across the world or work from home. They could be Gen Z or Gen X. They could work in marketing, finance, or any other department. To deliver the right messaging, you’ll need the right data
- Define a goal for the data: If you ask for any personal data it must serve a purpose in your marketing and sales strategy. Otherwise, the data won’t just be pointless – it’ll be more difficult to manage
- Establish security protocols: Make sure you are setting up your team for success by getting the appropriate certifications, risk assessments and penetration tests. And since data protection strategies are only as strong as their weakest link, you should also ask this from the companies you work with
Types of B2B Buyers
The semantics of the term “B2B marketing” has always bothered me. It almost insinuates there are no important sub-verticals in the business-to-business space. So before we keep going, let’s evaluate the key players in B2B using the model outlined by the Toronto Metropolitan University:
Producers
These types of companies take goods and services and turn them into other products and/or services. For example, a business that manufactures products from raw materials or a business that makes enhancements and modifications to existing goods.
Resellers
Resellers sell goods or services to another business without materially changing them. This includes wholesalers, brokers, and retailers.
Government
The government is a large B2B buyer (not to say the largest) and they require a lot of goods and services to function properly. In order to sell to the government, very specific processes must be followed. If you are in the U.S., the General Services Administration’s website is a good place to start.
Non-profit Institutions
The last segment is formed by non-profit organizations. In many cases they could technically be grouped into the “producers” group – at the end of the day, they take goods and services and turn them into other products and/or services. However, non-profit organizations are usually segmented into their own bucket because they tend to be more incentivized to buy products they need to fulfill their mission at a lower cost.
Understanding the type of B2B buyer you’re trying to reach will allow you to create a better strategic framework that speaks directly to their needs and how they operate.
Strategic B2B Framework
There’s no single framework that works for everyone. Yet, building one and understanding that it might change with time is a good place to start setting up your team up for success.
Here are the elements you need to gather to be able to have a strategic B2B framework:
- Understand your market: Such as their size, needs, growth, competition
- Have clear target personas: For B2B, this you need to understand the type of business (or account) you want to engage with while also understanding the different points of contact that will be involved in the decision making process
- Have clear goals: Make sure to set both short and long term goals
- Set your marketing mix: If you studied marketing or business in school, this might sound familiar. Yes, we are taking about the 4 Ps: Price, product, promotion, and place
- Build your media mix: Think about how you are planning to reach out to your target audience
- Synchronize and align your marketing and sales team: The hard truth is that many B2B marketers fail because of a lack of alignment with their sales team. One cannot be successful without the other
- Forge a strong lead nurture program: You need to do more than send a few random emails to your prospects. It should be a dance that you are leading so prospects can better understand what’s next and why your business is the right fit
- Use this to also determine which prospects are not a fit. Don’t waste their time or yours if it’s not a mutually beneficial relationship
- This process will also ease up-sells and cross-sells later on
- Help retain current customers: If the economy experiences a slight recession or a full on financial crisis, a good retention strategy can make all the difference
- Measure everything: Specifically, a unified measurement plan will be pivotal with the cookie deprecation and privacy changes we are experiencing in the marketing industry
Once the foundation for your framework is established, the next stage is all about how we are going to communicate our value proposition to the prospects and current customers.
Mapping Your Content and Messaging to the B2B Buyer Journey
In order to deliver your message to your target audience, it is important to divide the information into different styles of content; video, FAQs, blog posts and so on. Now, we cannot expect the B2B buyer to just digest all of your content at once. B2B has a long sales cycle and individuals within a business will have content preferences depending on their role and seniority.
That’s why we need to align our content strategy to the B2B buyer’s journey:
But again, we cannot expect all this content to be consumed exclusively over email or through display banners. This is why we need to take it one step further and start layering media mix components.
Using traditional advertising platforms will look like this:
Remember, this strategy needs to evolve over time. As new platforms, ad types, and channels appear you will have to go through the process of updating and refining your map of the buyer’s journey.
Fitting Account Based Marketing into Your B2B Strategy
We cannot talk about B2B strategy and not talk about Account Based Marketing (ABM). Most people today believe that a platform or solution is the key to effective account based marketing. This can’t be further from the truth.
We’ve heard it a thousand times: The foundation for any successful ABM program is alignment between marketing and sales. However, B2B organizations are still failing big time when it comes to this.
So, when you’re setting up or evaluating an ABM strategy, we must first flip the funnel. This way, you won’t invest money into programmatic advertising or mid-funnel ABM and not be able to prove if your efforts worked or not. By flipping the funnel, you’ll ensure sales is able to pass feedback to the marketing team, such as:
- Leads that have become customers
- Leads that are too cold and need more information
- Valuable business, but the POC that filled the form is not the correct one
- Leads that can be upsold or cross-sold
- Topics that the prospects are always interested in
Once there’s a stress tested process to move data between marketing and sales, we will be able to understand what triggers the audience to finally decide they are ready to convert. This fuels additional bottom of the funnel conversions and helps you create content specific to this stage of the buyer’s journey.
When that process is complete, you will realize that some of the key personas you outlined in your framework are not filling forms or reaching out to sales. When that happens, move up in the funnel and focus on the middle – the consideration and persuasion stage. What are the common questions that we can address before they engage later on with our sales team? Which other team members should start to hear from your business? Answering these questions will help set the account up for success and better inform the buying committee about your B2B product or service.
Lastly, once we address the middle of the funnel, we are finally able to go to the top of the funnel to determine where the most qualified traffic is coming from based on implicit and explicit lead scoring signals.
Conclusion
B2B is a game of patience and strategy. You’ll need to set a strategic framework from day one to keep your whole organization focused on the same goal. On top of that, you’ll need to continue to workshop your framework on an ongoing basis since B2B buying cycles move much slower than their B2C counterparts. But setting (and refining) that framework will help you get ahead of the competition and spot key trends impacting your target companies.
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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