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Drive growth with account-based marketing

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Drive growth with account-based marketing

E-commerce has been on the rise for years but has had explosive growth during the pandemic. Traditional B2B demand gen models are becoming outdated as privacy regulations are more stringent and fewer people are willing to give up their personal information.

Because of this it’s essential to have an Account-based marketing (ABM) strategy. This focuses on targeting top potential customers and uses both marketing and sales initiatives to capture the prospect’s interest and nurture them through the buying journey. Here’s a guide on how to do that.

As many e-commerce businesses experienced firsthand, COVID-19 caused a boom in online shopping. What was already a high-growth industry has catapulted into hyper-speed as the world adapted to changing regulations, societal norms and customer needs. While the rapid growth across global e-commerce markets and categories is projected to even out to pre-pandemic numbers, that time is still far off. We will continue to see large upticks in e-commerce growth worldwide in two to three years.

Drive growth with account based marketing

Most of the B2B buying journey is conducted anonymously until the buyer gets closer to the point of purchase, which is why a tech-driven “zero-touch” demand gen strategy is critical for growth. And with ABM tech platforms becoming mainstream, it is much easier to implement (think of platforms such as Marketo, Pardot, and HubSpot).

Pro tip: Before I go deeper, instead of looking at an ABM program as a lead scoring initiative, it’s best to shift to a mindset where you look at ABM as a sales intelligence initiative. It’s about uncovering prospect behavior and weighting sales intent/intel and brand engagement rather than “funnel lead scoring” (engagement is a better metric to forecast revenue).

The shift and the case for ABM: Anonymous buyer’s journey

In our always-on, buy anything anywhere world, customers want their buying experiences to be personalized, dynamic and convenient, and B2B buyers are no different. As a result, many businesses are trying to reinvent themselves, adapt to new business models and technologies, adhere to new consumer expectations, and keep pace with their competitors.

It’s a great time (and opportunity) for a B2B company to support those shifts — but it’s tough to get mindshare (let alone wallet-share). More and more, the buyer journey is conducted digitally:

  • Two-thirds of B2B buyers say they are now “self-serving” more information before contacting vendors.
  • 63% of purchases have more than four people involved in the buying group (up from 47% in 2017).
  • The number of buying interactions during the pandemic jumped from 17 to 27 (the number of buying interactions reflects one individual’s buying journey to obtain information about competing offerings or providers).
  • 74% of B2B marketers say they are seeing customers taking more control over the buying process.
  • 62% say they can now develop selection criteria or finalize a vendor list — based solely on digital content.
  • 70% of the buyer’s journey is complete before a buyer even reaches out to sales.

When you consider the above, you start to understand why a “zero-touch” approach is so important; it allows the prospect to buy the way they want to buy and not necessarily the way you want to sell. And that’s where ABM comes in. A zero-touch approach that still delivers the highly personalized and curated experiences B2B buyers want.

What to aim to achieve with ABM

Aim to identify a composite pattern of digital cross-channel account behavior that suggests interest and enables a very focused sales engagement into those targeted segments/accounts. Specifically:

  • Translate ABM brand awareness from target accounts into website traffic.
    • Continue to hyper-segment accounts that demonstrate interest with a secondary tactic and messaging (e.g., a case study, additional zero-touch tactics/assets, etc.)
    • Implement funnel-based personalization through funnel/DRIP system.
    • Optimize ad spend and activity towards accounts showing website and ad engagement.
  • Evaluate the impact on traffic to points of conversation (such as the “Contact Us” button or a “zero-touch” contact form) and re-target accounts that don’t convert.
  • Meet pipeline objectives and key results (OKRs) for ABM campaigns.

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ABM program governance: Ground rules

It’s time to make friends! ABM requires rules of engagement between everyone involved (particularly marketing, sales and IT) to work as painlessly as possible and drive alignment throughout the organization. Misalignment is a problem because it affects every phase of ABM — planning, execution, and measurement. This can be solved by aligning on goals and incentives. Determine the ABM Team, and sit down to figure it out:

  • Cadence of team touchpoints: Weekly updates, monthly check-ins, quarterly reviews.
  • Updates: Audience and account data updated bi-weekly
  • Audience naming conventions: Vocabulary can vary from department to department; ensure consistency to keep the data clean.
  • Account grouping: Agree on classifying e-commerce companies (SMBs/SMEs, Enterprise, etc.) beforehand.
  • Hierarchical taxonomy: Ensure the prioritization of the audiences is clear and documented.
  • Opportunity weighting: Sales and Marketing need to align on sales intelligence weighting at the account level (company) and the contact level (individual).
  • Progression: Agree on how e-commerce audiences are operationally and philosophically tagged and moved through the buyer journey.

Ideal e-tailer profile

Defining your ideal customer profile (ICP) beforehand is critical. Meaning, what types of e-tailer buyers are present in the ecosystem, and which ones should you be focused on? How are you tiering targets? Some factors to consider:

Segmentation tips:

  • Hyper-personalize where possible (where people know you).
  • Segment where possible (where companies might not know you but have common attributes so that you can craft language around their e-commerce sector).
  • Create more mainstream messaging if you don’t know the sector and therefore need something a little more general.

Marketing and sales need to work together to identify, select, and prioritize target accounts. The buying group will also have to be identified; as an example, in a buying group of four, who is:

  • The user: Usually, the actual user of the product (focused on workflow).
  • The influencer: Researches the different options available through the buying process (focused on best practices and vendor comparisons).
  • The decision-maker: Usually the manager of the influencer (focused on ROI).
  • The IT subject matter expert: The person who must determine any impact on tech infrastructure (focused on seamless operations/integration).

Personas

Buyer personas are a semi-fictional representation of your ICP, based on market research and existing customer data. Why use them?

  • The information that goes into creating a buyer persona helps to personalize your target customer, building a clear picture of the real people who buy products or services
  • A company’s expertise touches a range of audiences with various needs. Audiences may not see the immediate value if content speaks to what the company does vs. what it does for its specific audiences

Targeting WITHOUT personas puts more onus on the prospect to decipher your offering and complicates the customer experience, eroding confidence and trust. Targeting WITH them improves the customer experience, shortens the decision cycle, and maximizes the impact with more targeted content.

There are many persona templates available online; here is an example of one HubSpot offers:

1646964349 875 Drive growth with account based marketing

Content strategy

Inbound is guided by the philosophy that every customer is on a quest to accomplish something, and as marketers, our job is to act as trusted advisors to help them get where they need to go. The goal of inbound, then, is to create one-to-one relationships with customers (new and existing) that have a lasting impact on them and your brand. ​

​Inbound marketing is about building value and trust, NOT about selling.​

​Content delivers the message of your inbound marketing strategy; in other words, content acts as the voice of your brand while helping customers on their quest to solve a problem. The content strategy should empower your e-commerce customers to entertain and educate them, as it contributes to creating the long-lasting relationships that inbound marketing is focused on.​

Inbound marketing seeks to produce content that follows a three-step methodology: attract, engage and delight. When layered onto the steps in a typical buyer’s journey, the result shows the pathway for converting strangers to your brand into promoters of your brand. Consider deploying this framework:

1646964349 541 Drive growth with account based marketing

But how to do that as effortlessly as possible? Automation.

Programmatic and tech

The power of ABM is due to the advantages of digital marketing; automating data collection and connection enables the customization of interactions with those customers. It also allows B2B marketers to reach large volumes of customers with greater precision and personalization.

Tech now makes it easier to identify the e-commerce customers most likely to spend and have a high spend. It isn’t about developing an extraordinary number of leads. It’s about sales intelligence that allows you to develop the leads that really matter.

Crawl before you walk before you run. If you have a smaller contact list (e.g.,

  • CRM structure
  • Email system
  • Deal flow/lead platforms
  • Data modeling
  • Ad performance dashboard

However, once your target lists grow (100–1,000s contacts), you’ll want to look at platforms that can do programmatic ABM:

  • Marketing automation (e.g., HubSpot, Marketo, Pardot)
  • Predictive analytics (e.g., Bombora, 6Sense)
  • ABM ad-targeting platform (e.g., Terminus, Demandbase)

You’re not alone in figuring it out!

1646964349 246 Drive growth with account based marketing

Roles and responsibilities: Friends, not foes

Marketing and Sales need to work differently if ABM is going to work and drive alignment (i.e., more collaboration and fewer silos). Marketing needs to develop personas for both a) individuals and b) buying groups and use those personas to engage with prospects deliberately and proactively. Sales should shift from a fragmented, manual process and lean into the automation made possible through tech. As stated earlier, the shift from being lead-centric to account-centric is key, and using combined sales and marketing data will yield better intel.

Measurement

Data is used to make decisions and help companies reach their goals — but data collection in 2022 has become drastically different with customers now aware of how much data they’re giving up and with the dramatic changes to data privacy initiated by the likes of Apple and Facebook. 

The rising importance of zero- and first-party data has changed how e-commerce businesses collect information from consumers. However, e-commerce companies must prioritize collecting this data to sustain the marketing efforts required to succeed.

It will also require marketers to shift and look at metrics differently. It is time to move away from tracking traditional (and at times, vanity) metrics like impressions, CPMs, click-through rates, web traffic, etc. and move towards tracking that speaks to revenue:

  • Program performance (target account activity, opportunities, pipeline)
  • Program strategy (revenue, win/loss rates, funnel velocity, cross-sell and up-sell, and retention)

In summary

E-commerce businesses face many trends and challenges when striving to succeed in this rapidly evolving marketplace.

Now you know how to use tech to identify cross-channel account behavior, translate Account-Based-Marketing brand awareness into website traffic and evaluate its impact on points of conversation that will drive growth. ABM is key to competing in today’s B2B world, and it works — because a more targeted, personalized, and exceptional customer experience always does.

Developing an ABM strategy that focuses on targeting top potential customers and uses both marketing and sales initiatives to capture the prospect’s interest and nurture them through the buying journey is now a foundational part of any go-to-market plan.

Account-based marketing: A snapshot

What it is. Account-based marketing, or ABM, is a B2B marketing strategy that aligns sales and marketing efforts to focus on high-value accounts. 

This customer acquisition strategy focuses on delivering promotions — advertising, direct mail, content syndication, etc. — to targeted accounts. Individuals who may be involved in the purchase decision are targeted in a variety of ways, in order to soften the earth for the sales organization. 

Why it’s hot. Account-based marketing addresses changes in B2B buyer behavior. Buyers now do extensive online research before contacting sales, a trend that has accelerated during the COVID-19 pandemic. One of marketing’s tasks in an ABM strategy is to make certain its company’s message is reaching potential customers while they are doing their research. 

Why we care. Account engagement, win rate, average deal size, and ROI increase after implementing account-based marketing, according to a recent Forrester/SiriusDecisions survey. While B2B marketers benefit from that win rate, ABM vendors are also reaping the benefits as B2B marketers invest in these technologies and apply them to their channels.

Read next: What is ABM and why are B2B marketers so bullish on it?


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


About The Author

Drive growth with account based marketing

Theresa is the President of McMillan, an independent creative agency headquartered in Ottawa, Canada, with offices in NYC that specializes in the brand experience for a global clientele. She’s responsible for plotting the pragmatic course of action through business development, strategic services offerings and industry partnerships that define the agency’s growth and corporate strategies. Theresa’s been a B2C and B2B marketing professional for more than 25 years, honing her craft in the consumer-packaged goods, software and advocacy sectors and is a strategist-by-trade, which has amplified her life-long passion for pulling things apart to see how they work. She brought that insatiable curiosity to McMillan in 2007, building the agency’s strategic services practice from a one-woman operation into the guiding force behind successful projects for Intuit, LexisNexis and Trend Micro, and becoming President in 2018.


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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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