Buyer Intent Data
Article | June 20, 2023
Recently, Contentgine, a content-based marketing agency, released its latest ‘Top 5’ research ranking for popular artificial intelligence (AI) related content consumed by B2B decision-makers. The content assets, mostly e-books, that made it to the list focus on predictive analytics, cloud-based machine learning (ML) technologies, deep data analytics, and more.
But why are B2B decision-makers so curious about AI and ML?
They want to use AI and ML-based solutions effectively to streamline their business processes and improve their marketing strategies.
Digital transformation, heightened consumer expectations, and changing buyer dynamics govern the way B2B decision-makers utilize their resources. Let us look at what is making them seek AI and ML-related content on such a high scale:
AI Simplifies Decision-Making
A survey conducted by SurveyMonkey concluded that 6 out of 10 B2B decision-makers experience decision paralysis—difficulty in choosing an option from a few viable ones—more often than expected. Furthermore, reaching a consensus becomes cumbersome if too many stakeholders are involved in the decision-making process. In such sticky situations, AI algorithms come to the rescue. They leverage heterogeneous data from social media, reports, website activity and more, to offer insights on management and resource allocation, assist in troubleshooting problems and aid strategic development. They alleviate issues that insufficient data and a lack of proper tools to measure metrics pose. They present a clear picture in front of the decision-makers to enable them to make an informed decision.
Assists in Lead Generation
Forget archaic, standard prospecting tools. You can effortlessly conduct lead generation research using various complex parameters with AI-powered tools. You can also analyze customer behavior, create dynamic, intuitive, secure and valuable lead lists. Sifting through massive lead generation data to discover the client profiles that match your ICP gets easier. On the other hand, ML helps with demand prediction, churn prediction, local optimization, and sentiment analysis, so you can offer an excellent customer experience to your leads. AI lead generation tools such as Conversica, Drift, and LeadCrunch can have conversations with your leads, collect their email addresses, and qualify them even before handing them off to the sales teams. AI-powered lead scoring can help you identify intent signals that your marketing teams might have missed.
Optimizes Content Strategy
Let’s face it. You don’t want to sell Eskimo ice. Irrelevant content sabotages your chances of creating a lasting relationship with your prospects. Your content should align with your customer’s needs and pain points. Thanks to machine learning, deep content personalization is possible. ML can analyze content assets on your website and send the relevant ones to a prospect at the right time based on their position in the buyer’s journey.
AI and ML Are Changing the Game for B2B Businesses
According to an O’Reilly survey commissioned by MemSQL, 71% of executives said that ML and AI are game-changers for their business. B2B decision-makers are investing their resources in exploring the advantages of AI and ML in-depth. They are keen to implement AI systems and ML-based solutions to eliminate human errors, continuously analyze vast amounts of raw data, and harness structured solutions to problems they face in executing their business processes.
VMWare Uses Acrolinx to Streamline Content Program
AI-enabled content solution Acrolinx offered VMWare real-time dashboards on the results of its content activity. The qualitative report helped VMWare focus its resources on making its content better so that it could get more conversions.
Closing Thoughts
“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon.
“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon. AI and ML can significantly impact business operations and marketing campaigns in the B2B domain. To have a competitive edge in the market, understanding their importance and figuring out where and how to use their power will no longer be a choice but a necessity.
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Account Based Data
Article | June 29, 2023
Understanding how a B2B buyer’s journey naturally progresses is key to designing a digital marketing program that works in any economic climate. When we do this with our clients, it allows us to see their marketing as a whole, rather than looking at isolated marketing tactics and getting overly focused on minor issues. Once we understand what’s already working for a client, we can then apply an informed strategy to amplify their successes. Occasionally, we may also recommend that a client step back from a few marketing tactics that might not be working well enough.
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Core ABM
Article | June 20, 2023
B2B markets are more competitive than ever. They’re crowded, commoditized, noisy, and everybody is trying to knock on the same doors. So how do you break through the cacophony?
The key is to not wait and reach out to your accounts with everyone else but to reach them when they are still early in the buyer’s journey. And that’s where leveraging intent data comes in.
With intent data, you can see who is showing interest in your company or your competitors before they respond to your marketing efforts through form fills for content downloads or event RSVPs. You can create orchestrated plays as soon as they are in-market when they are searching. So you can deliver fresh ideas based on knowledge and understanding of an account’s industry and unique business issues before everyone else.
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Account Based Analytics
Article | June 14, 2022
Data-driven strategies for increasing time to market, pipeline, and revenue impact.
The B2B environment is incredibly complex, so it’s no surprise that more than three-quarters of B2B buyers describe their purchasing journey as very complex or challenging. A significant majority (67%) of the B2B buyer’s journey happens digitally, but B2B buying does not play out in any predictable, linear order. Unfortunately, much of today’s ABM technology lacks the capabilities required to provide personalized experiences across multiple channels, platforms, buying centers, geographies, and lines of business. This puts the target account into an undesirable linear campaign and assumes all accounts progress through the funnel at the same speed.
Instead, customers engage in “looping” behaviors during a typical B2B purchase, revisiting multiple buying stages at least once. Buying stages do not happen sequentially but rather simultaneously. This means that ABM success depends not only on a deep understanding of its audience’s needs but also on precisely orchestrating the delivery of the right message in the right channel at the right time - and on a global scale.
In the face of these complexities, ABM is rapidly maturing as a practice. New research shows that almost half (45%) of companies consider their ABM programs to be fully adopted versus experimental – up a third compared with 2020. But even as ABM programs mature, the headwinds of change are accelerating, leaving more than two-thirds of ABM marketers thwarted in their mission to drive significant revenue impact.
B2B marketers must contend with and overcome a slew of challenges that can feel beyond their immediate control. A recent study by Demand Metric and MRP found that more than three-quarters of marketers’ report that the pace of their campaigns has intensified over the past year. That percentage is higher still, at 83%, at enterprise companies that operate with high levels of complexity on a global scale. Four in ten marketers report that changing account profiles poses a challenge, as does the emergence of new channels and demand for new content formats.
Responsive buyer experiences and relevant content across channels have always been the top criteria for mature, high-performing, omnichannel account-based orchestrations. But much of today’s conversation revolves around linear, top-down campaigns, where the target account is placed in a marketing or sales play, operating within a siloed platform throughout the buyer’s journey. The result is often antithetical to the desired buyer “experience.” Addressing this reality requires rethinking how marketers engage with accounts.
The most mature account-based orchestrations are adaptive, understanding a target’s changing needs, aligning content to those desires, and delivering personalized experiences consistently across multiple channels. This demands a new approach to data management, better use of intent and predictive insights, and fully synchronized orchestration.
To make meaningful connections with prospects and customers amidst these changes, enterprise marketers are evolving their ABM initiatives to focus on highly personalized experiences tailored to the account level and individual locations and buyer roles. Increasingly, ABM leaders employ a set of principles and processes that are consistent from company to company – giving others a blueprint for success. The most critical steps for marketers to achieve significant results with their ABM programs include:
Collaborate Closely Across the Organization
Enterprise marketers must share insights widely across interdisciplinary teams. This allows campaigns to be coordinated across shared accounts. A study of top ABM performers found that nine in ten reported close cross-functional collaborations between marketing and sales. ABM leaders need to establish a standardized measurement framework so everyone is working toward the same goals and success.
Establish a Single Source of Truth
Not only are ABM leaders’ teams highly integrated, but so is their data. A single view of data allows for a deeper understanding of audience needs and improves collaboration. Eight out of ten (80%) top performers use data from three or more systems to guide their ABM practice, and even more, 84%, say that their tech stack is mostly or completely integrated. This is more than double the number (30%) of those whose ABM impact was negative or couldn't be measured.
Deliver Messages Consistently - and Across Touchpoints
Successful ABM marketers can customize the buyer’s experience based on the specific product or solution under consideration and factor in their stage within the buying journey. Almost half of leading ABM practitioners (46%) go beyond personalizing messages by industry to adapt their messages to the recipient’s job role and stage of the customer lifecycle. Highly personalized content delivered at the right time is more critical than ever since customers often skip “steps” on the buying journey and require digital experiences to adapt accordingly.
Grasping at New Buzzwords Isn’t the Answer
Calling an initiative “ABX” instead of “ABM” doesn’t make it easier to execute successfully. In fact, in a rush to accelerate the delivery of 'account-based experiences', the platforms that support it have become a critical bottleneck, creating yet another siloed system. This not only adds to the complexity but also undermines the outcomes it is intended to improve.
Today’s B2B marketers face unprecedented challenges but the enterprise must approach ABM as a guiding strategy rather than a limited tactic. Synthesizing data across multiple sources, eliminating tech and people silos, and taking a collaborative approach to ABM can give marketers a deeper understanding of what target accounts need and where to deliver it. The right tech solutions can trigger omnichannel actions based on account insights, simplifying the complexity of ABM and executing mature, omnichannel orchestrations that have a measurable impact on revenue.
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