Account Based Data
Article | June 29, 2023
Gain insights into 2023 buyer intent data trends. Explore key marketing technologies and strategies essential for businesses to enhance their ability to engage potential customers effectively.
Buyer intent data is indispensable for businesses in an increasingly fast-paced and data-centric account-based marketing (ABM) space. It serves as a compass guiding marketing and sales efforts by providing profound insights into consumer behavior and purchase intent. With this information, businesses can precisely target their targeted audiences, personalize their messages, and optimize their resource allocation, all of which result in higher conversion rates and a greater return on investment.
With rapidly changing customer behavior and evolving marketing space, buyer intent data has become the cornerstone of contemporary marketing and sales strategies. In 2023, it is set to reach new milestones, fueled by growing technological advancements and a deeper understanding of consumer behavior.
As a result, it is essential for B2B businesses and marketing teams to be aware of the emerging buyer intent data trends to adopt cutting-edge technologies and strategies that enhance their ability to understand and engage potential customers effectively.
Futuristic Buyer Intent Data Trends for 2023 and Beyond
In an era where competition is fierce and customer expectations are continually growing, harnessing the power of buyer intent data is not just advantageous; it's fundamental for achieving sustainable growth and increasing market share in the space. Furthermore, it bolsters customer engagement and loyalty by demonstrating a commitment to understanding and meeting their needs.
Businesses that embrace B2B buyer intent data gain a decisive advantage, positioning themselves as agile and customer-focused enterprises ready to thrive in the marketing domain. Consequently, staying informed about buyer intent data trends is not only a strategic advantage, it's a necessity for sustained growth and relevance.
Here are some of the latest buyer intent data trends that businesses must be aware of in 2023
AI-Powered Predictive Analytics
One of the most exciting trends in buyer intent data is the increasing role of artificial intelligence (AI) and predictive analytics. AI-powered buyer intent data tools analyze vast amounts of data to identify patterns and trends that might not be apparent to human analysts. This, coupled with predictive analysis, enables businesses to predict buyer intent more accurately.
With advanced AI algorithms, businesses are able to sift through vast datasets, recognize intricate patterns, and predict buying intent with unprecedented precision. This technological advancement enables companies to not only identify prospective customers but also create customized marketing strategies and engage them at the precise moment when they are most likely to make a purchase. In essence, AI-powered predictive analytics is elevating buyer intent data to an entirely new level, making it an invaluable asset for any forward-thinking business striving for marketing and sales excellence.
Integration of Multiple Data Sources
Buyer intent data relied on a single source of information, such as website analytics or email engagement metrics in the past. However, with increasing emphasis on understanding customer behavior, there's a growing recognition of a holistic view of buyer intent. This, in turn, is increasingly creating a need to integrate multiple data sources.
The trend of integrating multiple data sources provides a more detailed and deeper understanding of consumer behavior, thereby significantly enhancing the value of buyer intent data. Businesses can construct an extensive mosaic of each lead's digital journey by combining data from various touchpoints and channels, such as website interactions, social media engagement, email responses, and chat interactions. This multidimensional perspective provides more in-depth and accurate insights into buyer intent, allowing companies to tailor their marketing and sales strategies with unmatched precision.
Real-time Intent Monitoring
As businesses and marketers increasingly adopt advanced technologies, the days of post-event analysis are rapidly diminishing. Now, real-time monitoring of intent has become the primary focus. The strategy involves the use of innovative tracking technologies to detect and respond to buyer signals in real-time. The trend is increasingly gaining prominence as it allows businesses to respond to buyer signals as they happen.
When a potential customer exhibits strong purchasing signals, such as extended engagement with pricing pages, repeated product demo views, or initiating a live chat, real-time alerts trigger immediate action. This instantaneous response capability enables marketing and sales teams to provide highly relevant information and immediately deploy targeted messaging or offers, significantly increasing the chances of conversion.
Cross-channel Engagement
As businesses recognize the significance of engaging with leads and consumers across multiple channels, the need for innovative strategies, such as cross-channel engagement, is rapidly growing to ensure that businesses are present where their audience is, be it via email, social media, website interactions, or even chatbots.
In an era where consumers frequently switch between channels during the purchasing journey, cross-channel engagement ensures that businesses are consistently present and responsive. It improves the customer journey, enables complete data capture and analysis, and contributes to a more in-depth and accurate understanding of buyer intent. Cross-channel engagement enriches buyer intent data by providing businesses with a more detailed and real-time view of their audience's behavior and preferences, ultimately resulting in more effective marketing and sales strategies and stronger customer relationships.
Hyper-personalization
The hyper-personalization trend is ushering in a new era of consumer intent data utilization by bringing personalization to new heights. The approach utilizes the abundance of available consumer intent data and AI-driven content recommendation engines to deliver personalized experiences to individual leads and customers.
By analyzing a prospect's past actions, preferences, and interactions, businesses can create hyper-personalized content and offers that precisely align with their interests. It also optimizes time, ensuring that engagements occur exactly when a prospect has the highest possibility of converting. This level of personalization increases the chances of conversion as well as fosters a deeper connection between brands and their target audience. Hyper-personalization is not merely favoring consumer intent data; it is elevating it, enabling businesses to deliver exceptional, one-to-one experiences that boost engagement, trust, and brand loyalty.
The Bottom Line
Buyer intent data is the lifeblood of modern businesses, providing vital insights into consumer preferences and behavior. It enables companies to determine when potential consumers are prepared to buy, allowing timely and targeted marketing and sales efforts.
Staying informed about the latest buyer intent data trends enables businesses to employ cutting-edge technologies and strategies that improve their capacity to comprehend and engage potential customers. Companies can improve their techniques, enhance customer targeting, and optimize resource allocation by foreseeing and adapting to these trends. Furthermore, being aware of these trends is crucial for maintaining customer trust and compliance with evolving data privacy regulations, thereby ensuring the ethical and responsible use of data.
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Buyer Intent Data
Article | March 6, 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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Core ABM
Article | June 20, 2023
ABX is about quality, not quantity.
The traditional metrics that have been used to gauge ABM success are not useful in the experience-centric realm. The new and more complex benchmarks for measuring success revolve around:
Relationship analytics
Journey analytics
Attribution analytics
Once you’ve successfully closed accounts, you want to make sure you understand which ABM programs helped to contribute to that sale so you can rinse and repeat. This is where you can evaluate how a vendor measures ABM success and the entire Account-Based Experience. You will want to choose a vendor who can help you optimize your programs from the top of the funnel to the bottom, and grow your customer’s lifetime value.
Some examples of metrics to measure include the volume and velocity of an account as it makes its way through the buyer journey. This helps you understand whether your programs are engaging enough as well as whether your sales cycle is too long.
A strong ABM vendor will also have different methods for measuring attribution since not all businesses are alike, and marketers love seeing attribution models so they can measure the success of their marketing efforts and ROI.
Other metrics to consider include advertising campaigns and website visits – but with an account-based lens. After all, you want to understand whether your advertising is reaching the right accounts and which accounts are engaging on your website. If you find you’re short-staffed, some ABM vendors offer strategic services to help you with your ABM strategy and measurement. To learn more about vendor onboarding and support, read the next section.
Because ABX has a different set of metrics than ABM, when it comes to measuring the performance of the ABM solution from the vantage point of the customer experience, the scope also changes.
The vendors on your shortlist should, among other features:
Offer a dashboard to measure ABM impact from across the funnel.
Track volume, velocity and conversion metrics for each journey stage.
Offer customizable subscriptions for all custom reports.
People and account based heatmaps.
Allow you to combine first party, third party, firmographic and technographic data for segmentation and reporting.
Allow you to compare the performance of different audiences or account lists and evaluate the impact of specific programs.
Enable you to see the engagement and activities that influenced the different stages of a deal cycle.
Measuring a journey and a relationship in the long term requires measuring as much data as possible, so find out if they also:
Centralize your existing data sources in one location?
Track B2B metrics by account?
Track and report on anonymous first-touch visitors by account?
Have strategic services in place to help you set up ROI reporting based on your strategies? Allow you to compare different timeframes for account stages?
Provide advanced BI capabilities for ABM?
The point of measuring is to take action based on knowledge and insights, and having an ABM solution that allows you to bring together all of the relevant data points for your decision-making is pivotal for the success of your business. Our agnostic Definitive Guide to Choosing an Account-Based Marketing Platform provides you with checklists like the one above as well as the reasoning behind the need for each of the features outlined in the ebook. Check it out and take advantage of the printable list we put together for your own use at the end of the guide.
ABX is about quality, not quantity. The traditional metrics that have been used to gauge ABM success are not useful in the experience-centric realm. The new and more complex benchmarks for measuring success revolve around:
Relationship analytics
Journey analytics
Attribution analytics
Once you’ve successfully closed accounts, you want to make sure you understand which ABM programs helped to contribute to that sale so you can rinse and repeat. This is where you can evaluate how a vendor measures ABM success and the entire Account-Based Experience. You will want to choose a vendor who can help you optimize your programs from the top of the funnel to the bottom, and grow your customer’s lifetime value.
Some examples of metrics to measure include the volume and velocity of an account as it makes its way through the buyer journey. This helps you understand whether your programs are engaging enough as well as whether your sales cycle is too long.
A strong ABM vendor will also have different methods for measuring attribution since not all businesses are alike, and marketers love seeing attribution models so they can measure the success of their marketing efforts and ROI.
Other metrics to consider include advertising campaigns and website visits – but with an account-based lens. After all, you want to understand whether your advertising is reaching the right accounts and which accounts are engaging on your website. If you find you’re short-staffed, some ABM vendors offer strategic services to help you with your ABM strategy and measurement. To learn more about vendor onboarding and support, read the next section.
Because ABX has a different set of metrics than ABM, when it comes to measuring the performance of the ABM solution from the vantage point of the customer experience, the scope also changes.
The vendors on your shortlist should, among other features:
Offer a dashboard to measure ABM impact from across the funnel.
Track volume, velocity and conversion metrics for each journey stage.
Offer customizable subscriptions for all custom reports.
People and account based heatmaps.
Allow you to combine first party, third party, firmographic and technographic data for segmentation and reporting.
Allow you to compare the performance of different audiences or account lists and evaluate the impact of specific programs.
Enable you to see the engagement and activities that influenced the different stages of a deal cycle.
Measuring a journey and a relationship in the long term requires measuring as much data as possible, so find out if they also:
Centralize your existing data sources in one location?
Track B2B metrics by account?
Track and report on anonymous first-touch visitors by account?
Have strategic services in place to help you set up ROI reporting based on your strategies? Allow you to compare different timeframes for account stages?
Provide advanced BI capabilities for ABM?
The point of measuring is to take action based on knowledge and insights, and having an ABM solution that allows you to bring together all of the relevant data points for your decision-making is pivotal for the success of your business. Our agnostic Definitive Guide to Choosing an Account-Based Marketing Platform provides you with checklists like the one above as well as the reasoning behind the need for each of the features outlined in the ebook. Check it out and take advantage of the printable list we put together for your own use at the end of the guide.
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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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