Top 5 Content from 2024

Top 5 Content from 2024

Last year was a busy one for content. Here’s the “best of the best” of 2024 in case you missed one.

Based on engagement data from MarTech, LinkedIn, our newsletter and website, these are the top five stories from 2024 across platforms. 

  1. How to Build a Better Buyer Journey Using Customer Behavioral Data – this was the number one post on all platforms. First published on MarTech in August it has been viewed over 5000 times. To read click here (add hyperlink below). https://martech.org/how-to-build-a-better-buyer-journey-using-customer-behavioral-data/
  2. The B2B Social Media Checklist for CEO’s – this was the second most viewed but the most shared post of the year. It was also the topic of a podcast on Alice Heiman’s Sales Talk for CEO Talks podcast.  To read the article click here to listen to the podcast visit Sales Talk for CEOs
  3. Gone in 30 Seconds: Marketing in an Increasingly Distracted World – the #3 most viewed posts of the year was also the most liked on LinkedIn. It discussed the impact of decreased audience digital attention spans on marketing performance. In the past 20 years our focus on the screen has fallen from 150 seconds to under 30 seconds. Read more about the impact.

  4. The 4 Types of Content Buyers Really Want – based on our five years of research on content consumption habits across 7 industries, we narrow down the top content buyers are actually viewing. https://martech.org/the-4-types-of-content-buyers-want/

  5. Using Ai Enabled Personality Based Marketing Webinar Series to Design ABM Programs – our two part webinar series covered how to use the rule of 65/’75 to scale personalization to better connect with key audiences. It also provided case studies on how companies were using offline behaviors and motivations to gain deeper insight into online behaviors. To view the on demand webinar click here
    Best of luck in the new year! 
Burst the AI Bubble

Burst the AI Bubble

As previously published on 11/27/24 in MarTech

Artificial Intelligence search company, Perplexity, has raised three rounds of funding this past year. They have now begun their fourth round of funding which will value them at more than $8 billion. 

The startup seeks to challenge Google’s supremacy in search by combining the best of traditional search functionality with providing answers to questions similar to ChatCGT. The company currently has annualized revenue of  slightly over $10 million. It recently launched an enterprise version for corporate customers that will search internal files. 

Last year, we signed an agreement with an AI startup who provided that same enterprise functionality. This year, we didn’t renew the agreement because it’s now built into our Google Workspace platform, Gemini. We went from paying $150 per month, to $10 per month, for the same functionality. See what Google did there? 

Guess who else is playing this same game? Hmmm…Have you heard of Copilot, Microsoft’s new “AI Companion.” The partnership and investment with Open AI has all the bells and whistles as Chat GPT 4.0 (see below).

Burst the AI Bubble

There is a free version, a Pro version (priced similar to Google Gemini for $30 a month), that will integrate into your Microsoft 365 suite. 

With a voice interactive interface ( four voice options), you can now delete your Amazon Alexa, Calm, Apple News, and many other apps, if you choose. See what Microsoft is doing? 

Apple has quietly acquired more AI companies over the last three years than any other company in the world. Last year, they acquired 32 companies in the AI and machine learning space, almost twice as many as Microsoft. The new IPhone 16 with Apple intelligence is just the beginning. 

Oh, and let’s not forget Facebook, who is in the process of launching new tools via Meta’s Ads Manager now, and throughout next year. Ad creatives will get new background, image and text generators.

All of this is happening at a time when marketers are looking to consolidate and/or reduce costs related to their martech stack. According to MarTech’s latest Replace Research, 61% of respondents said the number one factor for a replacement solution was cost savings.  

Every technology wave brings about winners and losers, but it also creates an evolution, a better way to accomplish something. The dot com bust gave us Amazon, Ebay, Coupon.com and new ways to buy traditional products more efficiently.  AirBnB, Uber, and Venmo emerged from the ashes of the “Great Recession” of 2008, providing us with more efficient ways to buy and pay for services.  

The AI bubble will produce a similar set of winners and losers. It has already provided us with new ways to create code, images and content. But, outside of Open AI and Antrophic, it’s  not clear who else in the AI generative space will be a winner. 

One thing is sure. We are only at the beginning of the wave of AI solutions. According to CB Insights, AI startups are currently getting one  third of all investment dollars with B2B startups getting $10 to every $1 invested in B2C applications. As a result, we know we are going to see more and more AI applications aimed at B2B marketers. 

For Perplexity, will it emerge as an AI winner or will Google put it out of business by building its unique functionality into search? Marketers are facing a similar question, which may come down to opportunity cost. Is it worth the expense and time of learning a new tool, or do we play the waiting game to see if our current platforms integrate the functionality? 

Perhaps I am drawing the circle too small by just focusing on integration and costs.  Carrie Mahon, CMO at Unanet point of view is “Embracing new AI tools early not only provides marketers with a strategic advantage in creativity and efficiency but also fosters a mindset shift that speeds up AI integration and unlocks greater benefits. Delaying could mean missing out on these initial advantages and innovation opportunities in a rapidly evolving tech landscape.”

Could the real value and strategy be experimenting with new AI technologies, although perhaps costly, and then moving to more efficient platforms as they become available. Capture the opportunity to learn and experiment, then become efficient. 

As an old IBM client once said about new technologies “Let a thousand flowers bloom then cut them all down except for the tallest few.” He would then follow up with “make sure that you tend to your garden!” 

Maybe the AI wave is not a bubble to burst, but rather a garden to nurture. 

Understanding Personality Types

Understanding Personality Types

Why hasn’t sales performance improved since I carried a bag 30 years ago?

It’s fundamental, despite millions invested in tools, we still don’t understand buyers, and how people make decisions. Yes, even in B2B, people make decisions, not titles, roles or budget holders.

For four years, we have been using personality profiling tools, like xiQ, to assess how individuals make decisions based on who they are as a person.

We’ve dug in deep on closed deals (won and lost) and the data in our client’s sales and marketing systems. This e-book will provide you deep insights into buyer behavior and personality driven motivation.

It will provide you with the insight you need to understand why deals stall and how to reignite interest to get them moving again.

 

Can We Have True Personalization without a Person?

Can We Have True Personalization without a Person?

As previously published on 3/14/22 in The Drum

by Scott Gillum
Estimated read time: 5 Minutes

Let’s give credit where credit is due, most B2B organizations have made the transition from leading with products to being customer or market focused. Content is now shaped first with the needs of the target audience (industry, company and buyers).

Many companies make it a regular practice to research “hot topics” in the industry, the needs of those buyers and their channel preferences . Personas are shaped around the insights, and content and messaging are created to align with needs, then carefully aligned to the buyers’ journey.

So is that personalization?

What about the customer experience on the website?  This is how Forbes describes website personalization.

Website personalization is the practice of creating a custom experience for site visitors based on who they are and what they want. Rather than providing a single experience for all site visitors, website personalization allows B2B businesses to create unique experiences for visitors based on factors like location, industry and even website behavior. 

Ok, got it.  Let’s add location, website behavior and personalized digital experiences, and we should be good. Does anyone see the problem here?  Bueller, Bueller, anyone?

There is no “person” in any of this so-called “personalization.”  There are personas, but they’re most likely role based. Web behaviors, yes important, but without understanding the motivations behind those actions, you only left to guess their intentions.

How do you begin to understand behaviors, motivations and preferences? Start with understanding audience personalities.

In almost every industry, there are only 1-2 dominant personalities. If you’re in the life sciences segment, there is a good chance you’ll over-index with “skeptics” and “status quo” seekers. Selling to a marketing audience? You’re going to find an overabundance of “influencers” and “champions.”

To truly create a world class customer experience, you have to be able to align to the preferences of your audience. Those preferences are not driven by a title or a role.

And it’s not just their preference for channel and content, but more importantly, how the content is packaged, how it’s messaged, and/or how it’s created.

Understanding your dominant audience provides the insight to set your marketing, digital and engagement strategy. It provides the level of insight necessary to take your existing activities and assets to the next level.

Webinars appeal to a certain audience, but only if the topic is research or data backed, and presented by a credible speaker. Animated videos are preferred by another audience type, as long as they are sharable and short.

Don’t rest on thinking you have the right content, at the right place (in the buying process), in the right channel. It’s not enough. Not all the buyers are the same, they all don’t take the same path, consume the same content, and/or prefer the same channel.

In fact, without really knowing their personal motivation and behaviors, most of this insight is based on previous experiences that happened randomly but is assumed to be true for all, and/or based on research with buyers who will say one thing, and then do another.

Deep down inside we know that to be true, because we know that buyers are people, and people are as unique as their personalities…just as no two buyer experiences are the same.

“Personalization” as it is defined for B2B today, is more about trying to get the tools to work better, than it is about improving customer experience. Technology is an enabler, but it is not personalization. Understanding what makes buyers human is. The process has to be flipped so that it starts with the goal of understanding buyers at a deeper level, do that, and the tools will begin to work better.