Buyer Intent Data
Article | June 20, 2023
Boost your sales in 2023 with these top 10 rich buyer intent data programs. Gain insights into customer behavior and purchasing patterns to drive conversions using the top buyer intent data platforms.
Contents
1. Market Dynamics of B2B Buyer Intent Data Software
2. KPI for Good Purchase Intent Data and How Does a Buyer Intent Data Software Determine the Purchase Intent?
3. Optimizing Your B2B Buyer Intent Data Using Software to Drive Sales
4. Top 10 B2B Buyer Intent Data Tools to Accelerate Sales with B2B Account-based Marketing
5. Summing up
Driving conversions has become more precise and predictable with the use of high-quality buyer intent data. As buyer intent marketing has emerged as one of the most promising tools to get the most out of your account based marketing campaigns, companies can quickly reach out to their highest potential prospects. This way companies can better plan the sales numbers and keep up with the rising demand for their products and services in the market while maintaining consistent customer experiences.
Buyer intent data software are capable to -
Provide granular insights into customer behavior and purchasing patterns.
Identify potential customers who are actively in the market for a product or service.
Improve target marketing efforts by enabling companies to reach the right people with the right message.
Enhance sales team's ability to close deals by providing them with valuable information about their prospects.
Improve overall marketing ROI by focusing resources on high-value prospects.
Facilitate data-driven decision making by providing actionable insights.
Monitor and analyze market trends and competition.
By using buyer intent data software, companies can gain a deeper understanding of their customers, making it easier to deliver a personalized and relevant experience, and ultimately increase conversions and sales.
1. Market Dynamics of B2B Buyer Intent Data Software
“The buyer intent data software market is projected to reach USD 15 billion at 20% CAGR by 2025.”
This growth is attributed to data-driven decision making, digital transformation, and e-commerce initiatives among businesses that has increased the adoption rate for buyer intent data software among large progressive enterprises. The demand for personalized shopping experiences and refined customer engagement drives rapid market growth in the buyer intent data industry.
2. KPI for Good Purchase Intent Data and How Does a Buyer Intent Data Software Determine the Purchase Intent?
Key Point Indicators (KPIs) for Good Buyer Intent Data:
1. Relevance: The data should be directly related to a buyer's intention to purchase a product or service.
2. Timeliness: The data should be collected and analyzed in real-time to accurately reflect a buyer's current purchasing intentions.
3. Accuracy: The data should be accurate and verified to ensure its reliability and usefulness.
4. Completeness: The data should include all relevant information about a buyer, such as demographics, previous purchases, and search history.
5. Consistency: The data should be collected and analyzed using consistent methodologies to ensure comparability over time.
6. Privacy: The data should be collected and stored in a way that protects the privacy and confidentiality of the buyer.
How Does Buyer Intent Data Software Determine the True Intent of a Customer Behavior?
Buyer intent data software determines the true intent of a customer behavior through various methods such as:
Natural language processing (NLP)
Machine learning algorithms
Data analysis of customer interactions and behaviors
Integration with other data sources (e.g. search history, demographics, etc.)
Predictive analytics
The software analyzes a wide range of data points to understand the motivations behind a customer's behavior, such as their search queries, content they engage with, and the actions they take on a website. It refers to information about a potential customer's interest or intention to purchase a product or service, usually gathered through online behavior such as web searches, social media activity, email interactions, and previous purchase history.
This data can provide insights into what a customer is looking for, their buying journey, and the likelihood of them making a purchase. It can help businesses to tailor their marketing and sales efforts, better understand their target audience, and increase the chances of successful sales. This information is then used to create a comprehensive profile of the customer's intent and provide insights into how they are likely to behave in the future.
3. Optimizing Your B2B Buyer Intent Data Using Software to Drive Sales
Monitoring the impact of your account-based marketing efforts is important to drive sales. Checking what has worked in the past using the historical data helps understand the patterns in your data which in turn helps you learn and narrow your focus when it comes to purchase intent data. These trends will change as per your industry however, they all help large enterprises to bring in more sales and data intelligence.
As far as the buyer intent data goes, gathering and analyzing the data from all the sources using technology and algorithms refine your intent data and helps you find higher potential accounts and take data-driven decisions.
4. Top 10 B2B Buyer Intent Data Tools to Accelerate Sales with B2B Account-based Marketing
Depending upon your specific needs and budget as well as your B2B industry, you can select an account-based marketing software with buyer intent data tools. We have listed some of the top B2B intent data providers to accelerate your B2B account based marketing down below.
6 sense:6Sense is a leading ABM software that provides buyer intent data to help B2B marketers personalize their outreach and drive pipeline growth. The platform uses artificial intelligence and machine learning to gather insights on your target accounts' digital behavior and buying signals, enabling you to prioritize your outreach and tailor your messaging to their specific needs and interests. Additionally, 6Sense offers a range of ABM solutions, including account identification, account engagement, and account orchestration, to help B2B marketers effectively plan, execute, and measure the impact of their ABM programs.
Albacross: Albacross is an ABM software that provides buyer intent data to help B2B marketers personalize their outreach and improve their pipeline. The platform uses lead generation and account-based marketing technology to gather insights on your target accounts' digital behavior, enabling you to prioritize your outreach and tailor your messaging to their specific needs and interests. Albacross helps B2B marketers identify their ideal customer profile and generate high-quality leads by tracking website visits and providing information about the companies visiting your website. The platform also offers a range of features, such as lead scoring, account-based retargeting, and email tracking, to help you optimize your ABM strategy and improve the impact of your campaigns.
Bombora: Bombora is a B2B data solutions company that provides account-based marketing (ABM) software for buyer intent data. The platform aggregates business intent data from various sources, including content consumption, social media activity, and job postings, to help B2B marketers gain insights into the buying signals of their target accounts. Bombora's technology provides actionable data on the topics that your target accounts are researching, enabling you to personalize your outreach and tailor your messaging to their specific needs and interests. The platform works with ABM and marketing automation tools like Marketo, Pardot, and Eloqua to help you streamline your ABM processes and make your campaigns more effective.
MadisonLogic: Madison Logic is a B2B marketing technology company that provides account-based marketing (ABM) software for buyer intent data. The platform offers a range of solutions for B2B marketers, including lead generation, content syndication, and programmatic advertising. Madison Logic's technology helps B2B marketers personalize their outreach by providing insights into the buying signals of their target accounts. The platform tracks the online behavior of your target accounts, such as website visits, content downloads, and email opens, to help you identify opportunities to engage with your prospects and improve the impact of your campaigns. Also, Madison Logic's ABM platform works with marketing automation tools like Marketo, Eloqua, and Pardot to help you streamline your ABM processes and improve your campaigns.
Qualified.com: Qualified.com is an ABM software that provides buyer intent data to help B2B marketers personalize their outreach and improve their pipeline. The platform uses artificial intelligence and machine learning to gather insights on your target accounts' digital behavior and buying signals, enabling you to prioritize your outreach and tailor your messaging to their specific needs and interests. Qualified.com offers a range of ABM solutions, including account identification, account engagement, and account orchestration, to help B2B marketers effectively plan, execute, and measure the impact of their ABM programs. The platform works with marketing automation tools like Marketo, Eloqua, and Pardot to help you streamline your ABM processes and improve your campaigns.
Demandbase: Demandbase is a leading account-based marketing (ABM) software that provides buyer intent data to help B2B marketers personalize their outreach and drive pipeline growth. The platform uses artificial intelligence and machine learning to gather insights on your target accounts' digital behavior and buying signals, enabling you to prioritize your outreach and tailor your messaging to their specific needs and interests. Demandbase offers a range of ABM solutions, including account identification, account engagement, and account orchestration, to help B2B marketers effectively plan, execute, and measure the impact of their ABM programs. Also, the platform works with a number of marketing automation tools like Marketo, Eloqua, and Pardot to help you streamline your ABM processes and improve your campaigns.
Demandscience: DemandScience is a company that provides buyer intent data software. This software helps businesses understand the buying behaviors and interests of their target audience. By analyzing a large amount of data, such as search queries, social media activity, and other online interactions, the software provides insights into what potential customers are looking for, what challenges they are facing, and what solutions they are considering. This information can be used by sales and marketing teams to better target their efforts and increase conversions.
Salesintel.io: Salesintel.io is a company that provides a B2B contact and company data platform that includes a buyer intent software component. This software uses artificial intelligence and machine learning to analyze large amounts of data from various sources, such as social media, search engines, and business news, to identify patterns and signals that indicate a company's buying intent. This information can be used by sales and marketing teams to prioritize their efforts and engage with potential customers at the right time, in the right way. By understanding a company's buying intent, businesses can increase their chances of closing deals and growing their revenue.
Terminus Account-based Marketing: Terminus is a company that provides an account-based marketing (ABM) platform that incorporates buyer intent data. ABM is a B2B marketing strategy that focuses on targeted and personalized outreach to specific companies rather than large groups of leads. The Terminus platform integrates buyer intent data to help sales and marketing teams better understand the buying behaviors and interests of their target accounts. By analyzing data such as website activity, social media engagement, and other online interactions, the software provides insights into the challenges and solutions that target accounts are interested in, allowing teams to personalize their messaging and outreach for maximum impact. The use of buyer intent data in the Terminus ABM platform can help businesses increase their conversion rates and drive revenue growth.
Zoominfo: ZoomInfo is a company that provides a B2B contact and company data platform, including a buyer intent data software component. The platform uses artificial intelligence and machine learning to analyze large amounts of data from various sources, such as social media, search engines, and business news, to identify patterns and signals that indicate a company's buying intent. This information can be used by sales and marketing teams to prioritize their efforts and engage with potential customers at the right time. With a deep understanding of a company's buying intent, businesses can increase their chances of closing deals and growing their revenue. Additionally, the platform includes features for data enrichment, lead generation, and account-based marketing, allowing sales and marketing teams to have a comprehensive view of their target accounts and personalize their outreach for maximum impact.
5. Summing up
Utilizing advanced technology and machine learning algorithms to gather and analyze data about potential customers, providing valuable insights into their buying behaviors and intent helps businesses gain an edge over competition. By utilizing this information, businesses can tailor their marketing and sales strategies to better target and convert leads into paying customers, ultimately driving more sales. Scaling your buyer intent marketing efforts has become a lot easier with the machine learning and predictive analytics.
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Core ABM
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 Data
Article | August 19, 2022
For B2B marketers like you, wouldn’t it be great to know which buyers are ready to purchase and when? It would be, but this doesn’t generally happen. Marketing and sales teams across businesses spend their time trying to find the perfect prospects instead of focusing on selling to the accounts that actually want to buy.
What Goes into Prospecting?
Prospecting is an entire process that is not only time-consuming but might not lead to anything worthwhile. Common steps involved in prospecting include:
Finding accounts that fit your target account profile
Zeroing in on the point of contact to get in touch with the account
Creating messaging to influence prospect’s buying decision
Wait for the prospect to answer calls
It is no wonder that prospecting is the most difficult part of sales. According to research by Sales Insights Lab, 50% of the prospects you go after aren’t a good fit for your product. To add to the mix, sorting through incomplete forms, questionnaires, anonymous web visits, and event attendee lists is backbreaking work.
Predictive Analytics: Pipeline Growth and Revenue Covered
ABM relies heavily on high-quality data management and analysis. It is based on quality and, not quantity. It can succeed only if the prospect account’s data like management hierarchy, business practices, pain points, requirements, etc. is interpreted, analyzed and utilized properly. This is where predictive analytics comes in. A predictive analytics model looks at how different parts of an account relate to each other and ranks them. A large amount of data can be successfully interpreted this way. Data mining, statistics, and text analytics uncover different patterns and relationships to give insights into an account’s behavior and outcomes based on data.
A Predictive Analytics Model Boosts Your ABM Strategy
Here is how predictive analytics can boost your ABM strategy:
Prioritizing Accounts Based on Rating
Marketing representatives need to approach prospects at the right time to capture expected revenue. Predictive analytics gives real-time data, forecasts into when to approach a prospect to get the conversion. With deep data insights, predictive analytics optimizes ABM and the allocated marketing budget.
Personalized Messaging
Personalized messaging is possible only when the data at hand goes beyond account intelligence-based numbers. Predictive analytics goes a step ahead, forecasts buyer behavior and gives marketers a tool to create content that appeals to every individual in the prospect account’s buying group and leads to conversion.
Objective Scoring
As accounts near the end of the sales funnel, predictive analytics forecasts the best time for sales overview, so risks like data deletion are bypassed.
Getting Ready to Adopt Predictive Analytics
To adopt predictive analytics in your ABM strategy, you need to follow these steps:
Create an ABM-centric organization where content marketers apply ABM
Marketing and sales teams need to understand predictive insights and its implementation in ABM
Align your marketing and sales teams
Decision makers understand predictive insights and how they are used at the grass-root level
Wrapping It Up!
Focus your investments on an intent data set based on predictive analytics and AI learning to make the most of the high-quality data insights without worrying about underlying technologies.
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Core ABM
Article | July 27, 2022
Dealing with lengthy sales cycles, multiple decision-makers, and aggressive sales quotas must not be new for sales leaders like you. However, if you collaborate more closely with marketing and customer success, you will likely achieve better results with your ABM strategy. According to Forrester, highly aligned businesses grow 19% faster and are 15% more profitable.
In this article, we will cover four ABM metrics you should be concerned with and how to track them to inform future ABM campaigns.
4 Metrics to Measure ABM Impact on Sales
Pipeline Velocity
When calculating pipeline velocity, compare the progression of opportunities through the sales cycle stages before and after. Measure how the velocity compares to previous cycles, whether you're running an ABM pilot or a mature program. Pipeline Velocity will help sales teams find opportunities during the sales cycle and close those good deals faster.
Average Sales Cycle Length
Measuring the average sales cycle length before and after the launch of your ABM program allows you to see if marketing activities have reduced the time it takes for your team to convert likely buyers from an opportunity to closed-won deals. A shorter sales cycle results in a greater number of closed deals per year and impressive ROI figures for your team.
Average Contract Value (ACV)
Average contract value (ACV) is one of the most important ways to measure the success of account-based marketing (ABM) because one of the main benefits of ABM is to find and convert high-intent, high-value accounts. Gartner found that the average deal size for ABM programs was 20% higher than for traditional demand generation programs. Measuring ACV can give you information about sales results and show how changes to ABM planning and strategy affect the bottom line.
Customer Lifecycle Value (CLV)
Customer Lifecycle Value is an all-encompassing metric that helps you determine how well your ABM program works and lets you predict future ROI. Once you've measured and optimized your CLV, you can assess customer churn and retain your high-value accounts. If you give accounts what they need at every stage of the buyer's journey through excellent customer service and personalized content, your customer churn rate will drastically decrease.
Finishing Up
Any successful ABM program starts and ends with strategic goals, objectives, and data-driven metrics. ABM programs done right can equip sales teams to point to a more valuable pipeline, shorter sales cycles, and more closed-won business.
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