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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Programmatic ABM
Article | June 9, 2022
Introduction: Account-based Marketing and ABM Tactics
B2B account-based marketing is a strategic approach that focuses on targeted campaigns for high-value accounts. An account-based marketing strategy involves identifying target accounts, reaching out to them using hyper-personalized content, and engaging them in the right way and at the right time, irrespective of their position in the sales funnel. Closing the deal through an alignment between sales and marketing is the ultimate goal of an effective account-based marketing campaign. By using certain ABM tactics, you can enhance your campaign. Let us first understand what account-based marketing is, what challenges it can help you scale, and how it can help you get a higher ROI compared to any other marketing strategy that exists today.
Why Should You Implement Account-based Marketing?
According to ITSMA, 87 percent of marketers say that ABM marketing outperforms other marketing investments. B2B account-based marketing gets better results year-over-year after its implementation. With changing times, B2B customer expectations have changed. A more humane marketing strategy, customized content, the right channels, and a smooth customer experience are some of them. Not only does ABM targeting offer solutions to customers’ specific challenges, but it also converts leads with buyer intent into customers. Here are some of the challenges that an effective account-based marketing strategy will help you overcome:
Aligning Your Sales and Marketing Teams
The account-based marketing process involves streamlining the goals, objectives, and metrics of your sales and marketing teams. This eliminates the possibility of poor communication. Instead, there is a group effort to go after the right people to get a better return on investment.
These teams centrally view the targeted accounts through your CRM. This breaks the silos and boosts the impact of your ABM tactics. It allows unobstructed data sharing between marketing and sales. The account-based marketing process solely functions using centralized data and empowers both teams to make the most of the intent data and predict when and how to engage with the stakeholders of the target accounts.
Effective Content Personalization
As a central metric, customer experience is of paramount importance to creating lasting associations with target accounts. Most customers know what they want and need, are aware of the market conditions, and seek solutions that work best for them. They want these solutions to be offered to them on a platter through predictive customer experience. ABM scores a homerun in this aspect. It connects customers with content personalization characterized by distinct messaging speaking about challenges and solutions. Content is important to the success of an account-based marketing campaign right from the start.
Achieving Complete Data Utilization
B2B account-based marketing is a data-driven marketing technology that drives success for your business. Data is used to predict the needs of target accounts, understand their pain points, and preferred channels of communication. Clean intent data helps in increasing brand awareness among target accounts, streamlines the buying cycle, and assists marketing in creating content and messaging that best represents your brand and sharing it with sales teams so that they can use it to convert leads. Feedback data can also help marketing to access the success of the account-based marketing campaign and improve it to get better results in the future.
Maintaining Long-term Relationships with Customers
No matter the kind of B2B marketing strategy (ABM Lite, Strategic ABM, or Programmatic ABM) you choose to apply, its personalized approach boosts confidence and trust in buyers because they experience a stellar customer experience. Through customized content and focused service offerings, lasting long-term relationships with target accounts can become a reality. It also creates new opportunities for businesses.
Marketing Budgeting
An account-based marketing program enhances marketing budgets by improving customer retention and makes it easier to track ROI. It also improves your brand awareness, engagement, and lead quality metrics, so you can allocate your resources better.
Now that the benefits of account-based marketing are evident, let us now look at ABM tactics to further enhance your B2B account-based marketing strategy.
ABM Tactics to Optimize Your Marketing Strategy
Before you start using any tips and tricks to optimize your account-based marketing program, you should set your expectations and finalize the KPIs you intend to use to measure the success of your B2B ABM marketing tactics.
Let us explore some ABM tactics that can optimize your account-based marketing program:
Optimize Your ABM Funnel
Optimizing your ABM funnel may be one of the most effective account-based marketing tactics that can help you achieve growth.
Target Accounts
Optimize your target accounts using the following ways:
Content Auditing
Audit your content and verify if it caters effectively to your target accounts’ personas and the industry they belong to. Stringently review every content piece you have to ensure it is hyper-personalized and addresses the target accounts’ needs and pain points. Sometimes, your content may help you tighten your target account list.
Use Intent Data Wisely
ABM targeting should be dynamic. Update your target account list based on the intent data you receive from CRM and other platforms. You must know what your target accounts are searching for. Is it something about your business, your product, or the solutions you offer? You should always use this data to enhance your list.
Approach Different Segments
Simultaneously run multiple account-based marketing campaigns with different levels of personalization and investment. Choose from ABM Lite (one-to-few accounts), Programmatic ABM (one-to-many accounts), or Strategic ABM (one-to-one) based on your ABM targeting goals.
Engaged Accounts
Optimizing engaged accounts can be difficult because no two engaged accounts can be in the same stage of the sales funnel. Checking on how your ads are performing through click rates, organic visits on your website, email click through rates, or any other digital interaction with your brand can be a good start. Your ads should be informative yet beautiful. Improve on your copy and tighten your target account list so you reach out only to the accounts that are engaging with your content. Go all out through social media, emails, and all other channels available on the internet to reach out to engaged accounts. These account-based marketing tactics ensure that you take advantage of target account engagement enthusiastically through all channels.
New Opportunities
Help your sales team to enhance the rate of new opportunities through lead generation strategies created by ad retargeting so they can tap into the accounts that have interacted with your ads previously with renewed vigour. Creating an account engagement model to define an ‘engaged account’ in collaboration with your sales team can smoothen out the process of controlling the number of accounts it has to work on.
Outreach
Focus on creating or warming up existing relationships with the employees of your target account stakeholders. Use direct mail or personal meetings to get in touch with your target accounts. This opens the doors to new pipeline opportunities. One-to-one C-level campaigns, phone calls, and demos can be used to reach more people, warm up leads, and create brand awareness.
Improve Sales Velocity
Sales velocity is the average time taken from when an opportunity is created to when it is converted into a customer. Treat every opportunity that comes your way with the same dedication that you show to your target accounts. This approach is applicable to all the lead generation strategies you execute. Opportunities may make their way through your ABM platform or through inbound channels. Once they make their way through the funnel, make it a point to shift from awareness to ROI campaigns by exhibiting customer success stories and testimonials. These efforts can lead to a shortened sales cycle.
Harness Social Media
For the success of your B2B marketing strategy, using social media can be an effective way to capture important target accounts’ behavioral data. Follow their company accounts, stakeholder accounts, and employee accounts to remain updated. Understanding stakeholders’ and employees’ social media behaviour, likes, and engagement can help you narrow down your target account list. Strategically calling out the target accounts on social media through mentions can work in your favour.
Use Paid Advertising & Content Marketing
LinkedIn targeting, paid Google ads, industry-specific blogging along with problem and solution-oriented content can create target account engagement. Consider using account-based marketing services to market your content better and more accurately.
Marketing Automation
Artificial intelligence (AI) based marketing can optimize your account-based program by providing you with predictive insights and enhancing your communication efforts. Email campaigns can be executed using marketing automation to offer measurable account engagement. AI and big data rely on CRM data to gather user information from different platforms. This information can help you personalize your content better. Account-based marketing services offer these options to execute targeted marketing campaigns at scale.
According to a MarketingProfs survey, companies that used this ABM tactic saw 59 percent increase in closing rates.
Implement Influencer Marketing
Harness the influence of industry experts, thought leaders, and recognized contributors that your target accounts consider authentic. It can improve your conversion rate. By humanizing the buyer experience through an influencer, you can win over the trust of your accounts, encourage brand advocacy, attract new audiences, and increase the authority of the content you share. This tactic adds value to your B2B marketing strategy.
Test, Measure, Improve
Periodically testing your ad copy, content, design, and channel elements to see what works and what doesn’t is crucial to improving B2B account-based marketing. Tracking important KPIs that measure the success of your strategy can help you make it more effective. Avoid being constrained and try new things boldly. If something doesn’t work, find other ways to achieve your goals instead of scrapping the strategy. Account-based marketing tactics will only work if you analyze how they affect your strategy and accordingly keep improving its execution.
In an interview with Media 7, Daniel Englebretson, the founder of Khronos, talked about how to improve an account-based marketing strategy.
“The best programs, and the best marketers, have built their success on the back of rapid iteration and a long history of testing, learning, and continuously improving.”
Northrop Grumman Won a $2 Billion Contract by Leveraging Account-based Marketing
Northrop Grumman, an aerospace and defense company headquartered in Virginia, clinched a ten-year, $2 billion contract with VITA. Their B2B ABM marketing tactics included using marketing and business development teams that worked closely to understand VITA’s issues, needs, and priorities. They used all this information to create a focused branding campaign to target the key decision makers at VITA. They ensured that every interaction they had with VITA reinforced their IT expertise.
The Takeaway
These ABM tactics are just the tip of the iceberg when it comes to optimizing your account-based marketing program. Confidence, attentiveness, and patience are key to achieving expected conversions from an ABM strategy.
FAQ
What are the types of ABM marketing?
Programmatic ABM (one-to-many approach), ABM Lite (one-to-few approach) and Strategic ABM (one-to-one approach) are the three types of ABM marketing.
Why is account-based marketing more effective than traditional B2B marketing?
Account-based marketing targets accounts with buyer intent. It increases the conversion rate and customer experience through content personalization and a close understanding of key accounts’ needs and challenges. This focused approach leads to a higher ROI.
What are the benefits of using account-based marketing software?
An account-based marketing software powered by AI can help you reach, engage, and convert target accounts and provide you with actionable data through your websites, CRM, and marketing automation platforms. It helps you grow your business quickly and efficiently.
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Account Based Analytics
Article | August 3, 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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Buyer Intent Data
Article | March 6, 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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