Buyer Intent Data
Article | September 11, 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 | June 20, 2023
The application of Artificial Intelligence (AI) and other advanced technologies is inevitable and necessary to achieve the potential of account-based marketing (ABM). However, I consider technology to be more of an enabler of ABM, while the driver always remains the same – enhancing the customer experience by helping clients sustain and grow their business in this dynamic digital era. The goal is not for AI to make marketing decisions but to enable marketers to make better decisions by leveraging the strength of AI in analyzing a large amount of data quickly to share action-oriented insights.
AI can be a friend or foe, depending on what decisions we make while evaluating and implementing AI. Following are key questions organizations should answer before deploying an AI-based marketing strategy.
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Programmatic ABM
Article | June 9, 2022
Since the introduction of account-based marketing, B2B marketing has evolved. According to Forrester, as of 2025, "account-based marketing" will be overtaken by "account-centric marketing," which will be the way most B2B companies find, plan, manage, and measure purchase and post-sale actions.
A Brief
The marketing departments of multibillion-dollar corporations were early users of ABM. Over the years, they have made significant investments in their ABMprocesses and technologies. The exercise worked flawlessly for them. Their business circumstances made them ideal candidates for ABM, for instance lengthy sales cycles, high transaction sizes, and several decision-makers in purchasing committees. They have now realized that shooting in the dark and probably what sticks around is not the ideal method to develop a sustainable GTM process for their organizations. Moreover, they're debating whether to maintain their investment in inbound marketing methods and alternatively abandon it entirely!
On the other hand, smaller businesses are lagging behind in ABM implementation. They are aware that their existing spray and pray procedures are inefficient and require immediate improvement. They are powerless to ignore the continual buzz about the benefits of ABM and the larger good it may unlock for their firm. And yet, they are confused about how to begin. Additionally, they will learn how to integrate ABM into their current marketing processes. They exist in a perpetual state of contradiction, torn between the fear of missing out and the danger of prematurely disturbing the apple cart (the switch to ABM). Their meager marketing budgets and resources do little to aid them in decision-making.
As a result, marketing teams (large and small) are faced with a fundamental question: "Should I abandon inbound marketing methods in favor of ABM?"
The answer is a strict no! Both are essential.
Why Are Marketers Skeptical of the Efficacy of Inbound Marketing Strategies?
Current inbound B2B marketing practices are fragmented and generic, attracting the wrong types of leads. With a heterogeneous set of digital touchpoints, each with its own data silo, insights are dispersed throughout the organization, owing to multiple native dashboard management and data collectors.
What's behind the inbound demand funnel?
Inbound marketing is majorly concerned with attracting users or customers to your business's offerings. Three stages comprise the inbound funnel: attract, engage, and close. It enables marketers to communicate with each of these categories on a value-based basis. Things get muddled when there are a lot of digital touch points for inbound marketing strategies, like search engine optimization, social media marketing, digital and offline branding, and so on. This results in the decentralisation of insights. Marketers increase interaction through the use of social media and landing sites.
The sales team generates leads through email campaigns.
Client Relationship Managers respond to inquiries via automated content management systems.
Due to the dispersed nature of the touchpoints, the issue is ensuring that communications are consistent and personalized across the various account segments.
What's behind the ABM funnel?
Identify: Identify the accounts that most closely match your company's ideal customer profile criteria.
Engage: Use personalized and specialized content to reach out to and nurture those accounts, and urge them into conversion.
Establish and Expand: Attract new customers and uncover possibilities to expand existing accounts through a variety of customer marketing methods such as cross-sell, upsell, and retention.
ABM & Inbound Marketing - the Convergence of the Funnels
A common misunderstanding is that an ABM funnel and an inbound funnel are opposed. ABM and inbound marketing are not mutually exclusive strategies. Indeed, they complement one another. Both are facets of the same coin.
B2B marketers use ABM and inbound demand generation to have maximum impact. These two tactics combine to create a new funnel known as the "dual funnel." The dual funnel strategy entails maintaining a high-volume demand generation funnel in addition to a highly targeted account-based funnel. Both funnels function in tandem to engage a target demographic with a high level of intent and an inclination to buy.
This dual funnel strategy enables the identification of target accounts and the provision of tailored experiences through account-based approaches.
In a mature ABM program, marketers keep an eye on target accounts, retire underperforming ones, and replace them with new high-intent clients found and qualified through the inbound demand generation funnel, which is how they find and qualify new clients.
Conclusion:
When these two procedures are integrated, inbound marketing successfully generates leads. Additionally, account-based marketing focuses on customizing and delivering one-on-one messages and engagements to target accounts. Optimize your inbound marketing approach to generate the highest quality leads across all channels. When you set up your ABM funnel, only use it to get the most qualified leads. Then, use it for highly personalised and targeted marketing.
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Account Based Analytics
Article | February 11, 2022
If you are a seasoned marketer, you must be aware of how hard it is to find highly qualified leads. Wouldn’t it be convenient to have an intent data strategy that helps you identify companies that are looking for a product or service you offer by tracking their internet activity? If you are an IT service provider, some businesses must be looking to rope in a company like yours to help with their IT needs. If you find these businesses in time, you could clinch a deal with them.
Your sales and marketing teams will be able to work efficiently, your company will get more conversions, and your revenue will grow. This is what buyer intent data tools do.
What is Buyer Intent Data?
In the B2B domain, knowing what your target accounts want and need plays a big part in creating and executing ABM marketing. B2B buyer intent data indicates companies that are actively a part of your buying cycle. It allows marketers to understand what buyers are interested in, what kind of solutions they are looking for, what content appeals to them, and which topics they are stuck on. This data can be acquired from buyer intent data tools that measure buyer intent signals. They are generally a part of account-based marketing software.
Some of the buyer intent signals measured by buyer intent data tools are:
Subscription behavior
Clicks on social media ads
Website visits
Length of time spent on the website
People from the same company visiting your website
What the numbers say:
According to a SiriusDecisions study, a B2B prospect is already 67 percent into the purchasing journey.
73 percent of B2B marketers use buyer intent data in their email marketing.
62 percent of B2B marketers agree that B2B intent data improves their nurturing and personalization workflows.
It is no wonder that buyer intent data tools have created a buzz in the world of B2B marketing. Platforms that provide account-based marketing services have solutions that offer intent data for lead generation and intent-based marketing.
Types of Buyer Intent Data
There are two broad types of buyer intent data: internal buyer intent data and external buyer intent data. These can be used in any intent data strategy.
Internal Buyer Intent Data
This type of data is called first-party data, and it is gathered from your website, automation systems, or from within the account-based marketing software that you use. It is further classified into data you submit manually and data that your CRM perceptively creates. Some examples of this data are: website visits, time on page, lead information submitted, job title, downloads of the bottom of the funnel content like case studies, and viewing bottom-of-the-funnel pages like product comparison pages.
External Buyer Intent Data
B2B processes and sales cycles are often complex. Tracking customers on your website may not be enough. You need to widen your net and go above and beyond your website tracking software. You need to take a look at the off-site behavior of your customers by using buyer intent data tools. This will help you understand what prospective buyers are searching for on the web and not just on your website. Could it be that they are checking some review sites, or your competitor’s website, or possibly finding answers to their queries somewhere else but not on your website?
Understanding this B2B intent data will help you expand your sales funnel accordingly. You cannot control buyer behavior, but you can definitely decide strategically how you will respond to the buyer intent data.
Leveraging Buyer Intent Data in ABM Marketing
An effective account-based marketing strategy is a data-driven marketing strategy that targets key accounts with buyer intent. This laser-focused approach to targeting makes it more successful as compared to other marketing strategies.
Here is how buyer intent data can help you enhance your account-based marketing strategy:
Enhances Demand Generation
Buyer intent data enriches the demand generation process by assisting marketing teams in identifying and planning campaigns for prospective accounts. Email marketing and personalized ads can speed up outreach and conversion.
Optimizes Content Strategies
It improves content marketing strategies through insights into prospect behavior. It becomes easier to tailor a content strategy to target a prospect once you know what your prospect thinks about a solution or product you offer.
Improves Lead Generation
Your prospect’s online behavioral data can drive your lead generation strategy. You can target specific accounts based on their intent. Your cost-per-head (CPL) will go down significantly once you generate more interest in your sales pipeline.
Strengthens ABM Partnerships
ABM implementation also involves channel marketing solutions that are complex. Intent data can make the process manageable and bring clarity to the intentions and objectives of the marketing strategy. You can easily prioritize your ABM partners’ leads for higher revenue. It guarantees the success of your ABM group channel program.
Reduces the Churn Rate
You can reduce the churn rate by monitoring the research activity of your target accounts. You can easily identify the likelihood of churn. To tackle this problem, you can create personalized offerings for prospects who are checking out your competitor’s offerings.
Helps You Tweak Your Solutions
With the help of buyer intent data, you can understand your prospects’ pain points better. Tweak your solutions, design products or services based on the trends you see or the patterns you notice in your target audience’s behavior.
13 Best Buyer Intent Data Tools for B2B Marketers
Here are thirteen game-changing buyer intent tools for B2B marketers that can help you with your intent-based marketing plan:
1. Terminus
Terminus was named a ‘Leader’ in the 2020 New Wave of ABM platforms and has more than 1,000 customers trusting its account-based marketing strategies. Its account-based marketing tools help marketers analyze how their marketing strategies fare in terms of sales. Its deep B2B account database has over 70 million businesses. Its tools can sync easily with CRM and MAP data and deliver immediately marketable segments.
2. Bombora
Bombora provides risk-free intent data that is not only comprehensive, but also privacy-compliant. It can be integrated with multiple platforms across sales, martech, and B2B advertising. Its data comes from fully consented B2B publishers. The Bombora Data Co-op captures the buying signals of nearly 3.3 million unique domains through 20.1 billion interactions a month, across more than 4000 sites.
3. ZoomInfo
ZoomInfo has an impressive and comprehensive business database that can help you run B2B intent-based marketing campaigns. Its solutions bring together your sales and marketing teams. Its buyer intent data tools have features like lead scoring, sales prospecting, territory planning, and targeted outreach.
4. Demandbase
Demandbase’s platform, Demandbase One, is a great go-to-market solution. Its buyer intent data tools use data built around data privacy and security best practices. It has cloud solutions for advertising, account-based experience, sales intelligence, and data. With this single platform, you can orchestrate and automate your buyer journeys easily.
5. Slintel
Slintel, a 6sense company, analyzes buying behavior, patterns, sales intelligence, and digital footprints of your key accounts. It has a database of more than 15 million organizations. It helps marketers understand buyer behavior and pain points using buyer journeys and keyword insights. It evaluates over 100 billion data points to identify 3% of prospects with high buyer intent.
6. Leadfeeder
Leadfeeder features a variety of filters, both basic and customizable, that allow users to segment companies based on company demographics, location, behavior, location, and more. In addition, it integrates tools like Zapier, CRMs, and other email marketing tools which help provide insights on accounts. It has a responsive support team and is easy to use.
7. KickFire
KickFire provides first-party intent data by identifying anonymous website visitors through visitors’ IP addresses. This crucial data can be used by sales and marketing teams to create personalized content and increase sales outreach. There are different tool versions like LIVE Leads and KickFire for Google.
8. DemandJump
DemandJump provides insights into the customer journey and helps analyze your competitors. You can get information on what your prospects are doing, like which websites they are visiting and what things they are searching for. You can also find out what your competition ranks for, what kind of content they publish, and what kind of ads they use to attract traffic.
9. TechTarget Priority Engine
Priority Engine gives real-time access to leads that are ranked based on their engagement level and their purchase intent. You can use this information to enhance your ABM strategy, sales outreach, and lead generation. This tool also shows the topics which interest prospects, the kind of technology the prospects use and also provides contact information for leads whenever it is available.
10. Lead Forensics
With the help of Lead Forensics, you can engage with your prospects and customers swiftly. By using the valuable data that this tool provides, you can start useful conversations with the visitors to your website. You can also identify visitors, location, demographic information, and how much time they spend on your website.
11. Pure B2B
Pure B2B is a web-based demand generation tool designed to supplement businesses with their B2B content syndication. It helps in displaying ads, developing outbound leads with the help of predictive analytics and multi-source intent data. If you want to generate high-quality leads, you should consider using this tool.
12. Triblio
Tribilo allows you to combine account-based ads, web personalization, and sales activation through a single platform. You can easily engage with your customers, grow their awareness, and get in touch with your target accounts.
13. HappierLeads
Easily reach out to companies that show buyer intent but are not converting into customers with the help of HappierLeads. This tool accurately tracks website visitors and allows you to identify anonymous website visitors, connect with decision markets, and segment traffic.
By using account-based marketing services that offer the best buyer intent data tools, you can enhance your account-based marketing strategy. These intent data providers will highlight you in front of the buyers when they are in their decision-making process. Not only will it give you an upper hand in account-based marketing, but it will also help you proactively intercept prospects without having to wait for them to land on your website.
How Daniel Englesbretson, Founder of Khronos, leveraged Terminus to run successful ABM campaigns for clients
“What I have found is that, especially leveraging technology like Terminus, the data you get from the start speeds you up substantially, and gives you a lot more perspective that you couldn’t have had or wouldn’t have had before.” – Daniel Englesbretson.
ABM has become a mindset for Daniel. Read his full interview with Media 7 where he talks about the impact of AI on the ABM landscape.
Terminus’ account-based marketing software has shown tremendous results because it has one of the best buyer intent data tools in the market. Companies saw a 30 percent increase in opportunity size for the enterprise segment and a 2X increase in the probability of an account moving to opportunity.
Summing It Up
B2B buyer intent data tools can be a great addition to your arsenal of account-based marketing solutions. They can help you with swifter lead generation, boost your sales and save costs on pursuing qualified leads. Roping in a good-intent data provider will enhance your account-based marketing strategy.
FAQ
What information does buyer intent data reveal when a qualified lead comes to your website?
Buyer intent data reveals qualified leads’ areas of interest, referral sites, and pages visited. This data can be used to personalize outreach and contact prospects.
How can you leverage buyer intent data to achieve higher close rates?
You can use intent data for lead generation. You can appeal to a lead throughout the awareness, consideration, and decision-making phases. Buyer intent data positions you in front of the prospects early on in the buyer’s journey, and that is how you get higher close rates.
What are some examples of internal buyer intent data?
Website visits, lead information submitted, time on page, job title, downloads of bottom-of-the-content, and viewing bottom-of-the-funnel pages are some examples of internal buyer intent data.
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