Account Based Data
Article | August 19, 2022
Buyer intent data is sourced from either internal or external parties. When combined, it provides a comprehensive picture of how your targets behave online. Internal marketing teams provide first-party intent data through your company's website, automation platforms like CRM, or other in-house applications. Third-party data is gathered from buyer intent data tools.
According to a Gartner study, more than 70% of B2B marketers will use third-party intent data to target prospects by the end of 2022.
In an interview with Media 7, Laura Goldstone, Director, Communications and Branding Strategy at AdDaptive Intelligence, talked about the importance of correct messaging in sales and marketing once you know your audience.
“I think the newest trends revolve around being a strategic resource, aligning marketing and sales, and using analytics to tailor messages to your audiences’ preferences or funnel stages.”
Buyer intent data tools provided by intent data providers like Bombora, Slintel, and ZoomInfo collect high-quality intent data to help you identify the accounts that show buyer intent, making it easier for you to understand their requirements and deliver solutions through effective content.
Let's find out how intent data can help your ABM strategy by making sales easier.
Buyer Intent Data: 5 Impactful Ways It Can Help You Boost Sales
Let us look at five benefits of buyer intent data that can help you boost sales:
Create Effective Content
In ABM marketing, the marketing team supports the sales team by generating qualified leads through effective content that addresses the prospects’ needs. There are more than a billion websites competing for a prospect’s attention. Focusing more on engaging your intended audience than on your search rankings could translate to more sales. This B2B intent data will allow your marketing team to analyze the volume and quality of responses to various online 'triggers' like keywords and social engagement. This way, the marketing team eliminates the guesswork in analytics and content research. B2B intent data can assist your marketing team in its intent-based marketing endeavors. The team can develop hyper-personalized, relevant, and timely content that can be used in your sales process to engage with new leads.
Identify Buyer Groups
In the B2B domain, multiple decision-makers sign off on purchase decisions. Your key accounts might have buyer groups, and this may pose a problem for your sales strategy. You will need to appeal to multiple personas who will then make unanimous decisions when purchasing your products or services. When combined with accurate, up-to-date contact information, intent data can assist in segmenting the purchasing process into relevant stages. Buying intent is useful not only for tracking and analyzing individual target prospects, but also for tracking and analyzing entire organizations. Overall, sales teams can craft perfect messages for any target persona that crosses their path, thanks to quality intent data.
Improve Lead Qualification
After your sales and marketing teams have developed an ideal lead generation strategy, you'll want to target leads with purchase intent. The majority of leads generated may not completely align with your ICP (ideal customer profile). If your product or service isn't even remotely relevant to what they're looking for, an automation system that is a part of your ABM services can remove them from your lead list. By delving into their product research activities, using intent data in lead management and outreach helps remove some of these roadblocks. It is critical to have a nurturing system in place and implement a lead scoring process. Intent data reveals where these leads fall within your segmentation, how interested they are in your solutions, and how their purchasing process works, so your effort or time is not wasted.
Increase Customer Retention
The same buyer intent technology that is used to find new prospects and customers can also be used for customer retention. According to Brain and Company, a 5% increase in customer retention can result in a more than 25% increase in profit. Monitoring intent signals can help you identify when a current customer interacts with a competitor or looks for alternatives to your product. It allows you to engage with them earlier and provides you with another opportunity to maintain your customer relationships.
Boost Team Productivity
According to HubSpot research, 40% of salespeople say prospecting is the most difficult part of their job. Buyer intent data eliminates prospecting (such as connecting on LinkedIn, getting past the gatekeeper, and sourcing emails), which results in more sales for your company. The most effective buyer intent software solutions can provide not only company-level intent information but also contact information for key decision-makers (all whilst complying with GDPR rules). This means your sales team can get right to the point and use the most up-to-date business intelligence to engage in more conversations with the right prospects. B2B intent data keeps your sales team on top of their game by allowing them to analyze and comprehend prospects on a more granular level.
Cloudera Generated over 30 Significant Business Deals Using Intent Data
Cloudera, an enterprise management company, harnessed intent data from Bombora and Just Global to run a hyper-targeted account-based marketing strategy across its sales, advertising, and marketing teams. As a result, it generated over thirty significant business deals.
Conclusion
B2B buyer intent data can help you boost sales by accurately identifying target accounts that show buyer intent. Using buyer intent tools that give clean intent data can help your sales team generate revenue and scale your business.
FAQ
How does intent data help with sales?
With the help of intent data, your sales team can target and qualify leads swiftly and accurately as it provides all the crucial background information on the leads. Accurate targeting translates to more conversions and sales.
Where does the intent data come from?
Intent data is usually provided by third-party data providers through buyer intent data tools. These tools collect intent data from data-sharing points like B2B websites, media publishers, and other relevant sources.
How is intent data beneficial for improving an account-based marketing strategy?
With the help of intent data, you can personalize your website, focus on your inbound leads with respect to their engagement with your content, nurture leads with email marketing, and identify prospective customers who haven’t engaged with you yet. These factors can enhance your ABM strategy.
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Buyer Intent Data
Article | October 7, 2022
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
6sense, the leading platform for predictable B2B revenue growth, today announces the results of the commissioned Total Economic Impact (TEI™) study conducted by Forrester Consulting examining the potential return on investment (ROI) by deploying the 6sense Revenue AI solution. The TEI study shows organizations using 6sense Revenue AI can achieve an ROI of 454% over three years, recouping their investment in less than six months with ROI increasing steadily thereafter.
These results align with 6sense’s own analysis of customer data which indicates a significant increase in revenue growth obtained within the first two quarters of prioritizing 6sense Qualified Accounts (6QA) which are prospects in-market to buy a solution and represent an ideal fit.
“As sales and marketing teams face increasing challenges to predictably grow pipeline and revenue while optimizing resources, our customers rely on 6sense as their unique competitive advantage to help them align on targets, maximize efforts, and significantly scale growth,” said Jason Zintak, CEO of 6sense. “We believe Forrester’s findings confirm that applying AI-driven insights to prioritize and target the right accounts at the right time with 6sense Revenue AI increases revenue and drives efficiencies across sales and marketing.”
According to the study participants, before using 6sense Revenue AI their organizations’ traditional marketing and sales efforts had languished while costly time and resource investments no longer provided results. Frustrated revenue teams were ineffective, often using point solutions requiring significant manual effort while delivering little value. They selected 6sense to create pipeline more efficiently and predictably.
Leveraging 6sense Revenue AI to capture buying signals and target the right accounts at the right time, the TEI study’s composite customer experienced the following benefits:
Increased sales revenues: Interviewees reported that 6sense identified 6QA opportunities were more likely to close and had higher average contract values. By increasingly focusing on prioritized accounts, revenue teams delivered significant gains in profits for their organizations.
2X increases in average contract value
4X increases in win rate
31% increases in opportunity volume
Decreased costs: Interviewees cited using 6sense to market and sell more efficiently and effectively. Acting on insights provided by 6sense unlocks significant resource optimization gains, including:
40% reduction in aggregate costs to qualify opportunities
40% reduction in effort to close opportunities
20-40% reduction in time to close deals
Study participants reported a wide range of optimization and cost reduction benefits using 6sense Revenue AI including sales productivity gains from enhanced insights and better prioritization, tech stack consolidation, improved conversion rates across the buyer’s journey, reduced customer acquisition costs and optimized marketing spend. One interviewee indicated their customer acquisition costs dropped by nearly 50% within two years of implementing 6sense.
“6sense Revenue AI is the first and only platform to apply the power of data, machine learning, and automation across the entire buyers’ journey to provide a better customer experience and produce the kind of pipeline that converts to revenue. This means the entire revenue team makes insight-driven decisions, prioritizes time and resources more effectively, and realizes better outcomes,” said Amar Doshi, SVP of Product and UX at 6sense. “Our customers repeatedly claim results similar to those that participated in the TEI Study.”
To develop the study, Forrester interviewed nine 6sense customers, identifying the benefits, risks, and outcomes they experienced while using the company’s product experience platform. Forrester’s (TEI) consulting practice develops business value justification analysis to help organizations understand the financial impact of a technology investment. The TEI methodology has been used for over 20 years by technology organizations. It consists of four components to evaluate investment value: cost, benefits, flexibility, and risk.
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Account Based Execution
Article | July 8, 2022
Third-party cookie restrictions or outright bans were an inevitable step in the evolution of data protection. As a result, B2B marketers are preparing for a cookie-less future in which third-party data will no longer direct them to potential clients. They must now prepare new tactics to execute account-based marketing (ABM) strategies.
Abhi Yadav, the founder of Zylotech, states that ABM strategies greatly depend on trustworthy data: “We believe the foundation for any successful ABM program lies in the ability to “trust” your data. This requires scalable, repeatable processes for data management and governance across all people, accounts, and activities.”
Abhi Yadav, the founder of Zylotech, states that ABM strategies greatly depend on trustworthy data: “We believe the foundation for any successful ABM program lies in the ability to “trust” your data. This requires scalable, repeatable processes for data management and governance across all people, accounts, and activities.”
In light of the demise of third-party cookies, where can B2B marketers turn for reliable information? Let us find out.
First-Party Cookies
When it comes to potential customers, first-party cookies are the most dependable source of information. These cookies assist in monitoring audience behavior when they visit our websites and engage with our content. Based on recent interactions, first-party cookie data will produce more relevant content.
Data Points
When developing ABM strategies, delve deeper into first-party data and use locations and keywords. B2B marketers can then contextualize the content and figure out what prompted the viewer to interact with it in the first place.
Tracking Technologies
Tracking technologies like reverse IP tracking are legal and can aid your ABM campaigns. This technology enables businesses to conduct reverse IP searches and access the top-level domain data that IP produces. The name of the business hosting that IP and the other details of those who registered the business IP can be accessed. Using this information, B2B marketers can develop an effective target list and pursue the target accounts with personalized content.
Contextual Advertising
Contextual advertising displays advertisements to website visitors based on the content they are currently viewing. As a result, the visitors find these ads relevant to their needs and are more receptive to them.
ABM Success Requires Reliable Data
Using primary data sources will provide direct feedback on the relevance of your content based on interactions with potential clients. As we enter this first-party world, you must remain agile, with new ABM tactics ready to guide clients toward successful partnerships.
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