Buyer Intent Data
Article | March 6, 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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Buyer Intent Data
Article | June 20, 2023
In 2018, Demand Gen Report’s ABM Benchmark Survey found that 25% of participating B2B companies used buyer intent data and monitoring tools. 35% of them planned on using intent data within a year. Cut to 2022, and about 99% of B2B marketers are using some form of B2B intent data in their marketing campaigns to target accounts (Source: InboxInsight).
In his exclusive interview with Media 7, Gil Allouche, CEO of Metadata.io, talked about how data helps convert leads.
“With access to valuable data, marketers are focused on leads that are more likely to become buyers. They can also work on targeting their messaging towards these potential buyers.”
Buyer intent data helps in creating a robust foundation for your marketing efforts. Let us look at how intent marketing can help you get the sales and ROI you desire.
Intent Marketing: The New Normal in B2B
Intent-based marketing uses consumer data that signals purchasing intent through consumption of relevant content like blogs and infographics; product comparisons; product reviews; message boards; case studies; and news. Through this data, you can find out what your prospects are looking for, which stage of the customer journey they are in, if they are researching solutions or ready to make a purchase, and what kind of steps you can take to get in front of them.
One of the most important benefits of intent marketing is that it removes the guesswork out of your marketing campaigns and ensures that you are targeting the correct prospects. This targeting can be done through either intent-based branding or intent-based marketing. Intent-based branding decodes the behavior of your target audience online while intent-based marketing harnesses data on the prospect’s buying behavior so you can tailor your marketing offerings accordingly. Consequently, your sales cycle is shortened.
Power-up Your Content Strategy
The biggest challenge B2B marketers like you face today is to cut through all the noise and create an impact on their prospects. Consumers have a host of content options. However, they do not want to consume unnecessary information. When the content is personalized to match their needs and goals, they are more likely to engage with it. Intent data helps you plan your content as it provides you with information on the theme, buyer personas and their behavior, buyer journey maps, content formats, copy, call to action (CTA), and keyword strategy that will best suit your prospect targeting efforts.
An intent-based content strategy can deliver leads while increasing conversion rates and sales. It can give you the competitive edge you need to influence your prospects at the right time.
Drive Sales and ROI
Intent marketing brings in more conversions on landing pages and overall higher traffic and qualified leads to your website. It uses intent information to recruit engaged prospects for sales demos and events. It helps sales teams to effectively rank their leads and accounts so that they can focus on the right leads at the right time and not miss out on any sales opportunities. Your sales teams can execute effective nurture campaigns and create sales pitches with messaging that appeals to a target account’s buying committee. This messaging addresses the account’s pain points and requirements and accelerates the buying decision.
Additionally, intent marketing helps improve customer retention rates and makes it easy for teams to identify cross-sell and upsell opportunities. It takes into consideration the existing customers’ signals to find any at-risk accounts to prevent churn and increase renewal.
Data-driven Marketing Personalization
Intent data makes it easy to personalize your marketing efforts and provides an accurate report of prospective signals, their needs, and interests so that you can segment and categorize them. Once this segmentation is done, you can determine what kind of content needs to be created and displayed for these accounts depending on their position in the buying cycle. With this kind of personalization, your target audience gets to know that you care about them and you can connect with them on a deeper level.
Increase ABM Efficiency
B2B buyer intent data helps your marketing, sales, and customer success teams align their goals so that they can agree on target accounts, establish lead hand-off processes, and diversify investments to target newer, relevant accounts while maintaining the current customer list. Intent data provides marketing intelligence for creating ICP in marketing, messaging, and brand positions for B2B account-based marketing. Additionally, it provides account intelligence for target account list creation, ways to increase engagement, improve lead scoring in ABM and lead nurturing tracks, thus increasing the efficiency of your account-based marketing.
Summing It Up
Intent-based marketing helps B2B marketers like you to understand potential customers so you can find high-value accounts and nurture them through customized content and targeted campaigns.
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Account Based Data
Article | August 19, 2022
Introduction
The application of AI marketing technology is picking up pace because of its many advantages. According to a 2020 Deloitte survey, 74% of AI adopters agree that AI will be a part of all their enterprise applications by 2023.
What does an AI-based marketing strategy look like, and how do you make the most of it? This article gets into the nitty-gritty of AI marketing technology and how to implement it in ABM so you can maximize your business performance and outputs.
AI’s Role in Marketing
Thanks to its accuracy, B2C businesses use AI marketing technology to target their customers with product or service recommendations. The following are some use cases of AI-based B2C marketing:
Personalization
AI helps businesses with their 1-to-1 marketing strategies by personalizing their content to cater to every segment.
Event Communication
Emails informing customers of upcoming sales, special access, or exciting offers are sent out via AI technology. Weekend offer emailers, special discount codes, and new product updates are a result of event communication automation so that customers can be informed before time about upcoming events.
Real-time Content
Trending topics, investments, event promotions, webinars, customer feedback, product availability, bestselling combo, weather reports, and new blog post updates are provided in real-time to maintain an active connection with customers.
Businesses do this by using the ‘open time content’ AI technology. Manually executing 1-to-1 marketing strategies is nearly impossible, impractical, and does not see much success. AI helps streamline these strategies and executes them effortlessly.
What Goes into Creating an Effective ABM Strategy?
For an ABM strategy to work, businesses need to follow these steps:
Preparing for the ABM Strategy
Organizational readiness is crucial for implementing ABM. Make sure you have a budget and an achievable timeline to execute the strategy, team members who can anchor it, and an understanding of ABM metrics so you can make the most of it.
Synergy Between Marketing and Sales Teams
Your sales and marketing teams should be in sync and not at loggerheads due to account-level communication issues. Discussing the benefits of ABM with both the teams beforehand and coming to a strategic agreement to implement ABM can help them align their goals while executing the ABM strategy.
Identifying Target Segments
Your ABM strategy can do wonders for your business only if you have a precise segmentation of data. Use dimensions like business size, annual revenue, current spending, projected spending, targeted products, geography, open opportunities, closed opportunities, etc., to identify your target segments.
Zeroing-in on a Priority
Having a clear priority helps you streamline your ABM strategy. It should either be acquisition (acquiring new accounts), retention (retaining existing accounts), or expansion (expanding the scope of accounts). Without a clear priority, any ABM strategy may not yield expected results because the efforts won’t be concentrated towards a single goal.
Leveraging AI in ABM Strategy
In an interview with Media 7, Daniel Englebretson, founder of Khronos, spoke about AI’s impact on the future of ABM.
“From my perspective, B2B marketers have faced countless challenges that have formed the basis of new technology – problem brings a solution. I expect AI will solve identity resolution, resolve data challenges, and enhance targeting. I expect AI will address 1:1 content at scale, unlocking the rapid deployment of 1:1 brand experiences.”
Introducing AI into your ABM strategy can help you in the following way:
Content Personalization
Once you know your customer’s pain points and interests, you can focus on providing them personalized solutions, products, or services they desire. Of course, personalizing content is complex, but AI makes it easier by offering the technological capacity to deliver what your customer wants.
Efficient Resource Management
Without customer profiling, an ABM strategy cannot achieve the expected output. AI can assist with data crawling the internet to find out important customer information. Also, it segments data acquired from CRM, which gives you more information about a customer than any other generic data. This data is helpful for lead qualification and creating heavily personalized content for a customer.
Since AI does all the heavy lifting, you can allocate your resources to building and nurturing a relationship with the customer.
Automation
AI-based marketing in ABM generates automated insights for lead generation. It also highlights campaign performance related to specific, high-value accounts and suggests steps to engage a prospect.
Digital marketing and automation are a dynamic duo where AI brings about intelligent marketing automation. Efficient email campaigns are run when executed by automation. Email marketing companies like MailChimp target customers based on insights to achieve more conversions. When AI and big data use CRM data, large chunks of user information can be collected from different platforms. This information can help with formulating a successful ABM strategy.
ABM Optimization and Predictive Insights
To analyze intent, AI processes data in real-time and gives predictive insights to help with ABM optimization. As a result, it is easier to merge data from different sources with AI-enabled tools, achieve predictive analysis, manage recommendations in real-time, and understand competitor strategies through social media. AI can also interpret images correctly.
Enhancing Communications
Use AI for building a strong relationship with your customer. Personalizing communication by using customer data can be easily achieved with AI.
What Is the Future of AI-enabled ABM Strategy?
ABM, with an AI marketing strategy, has a bright future ahead of it. Demandbase recently conducted a survey in which they found that 80% of marketers had plans to integrate AI into their ABM marketing strategy. Another survey conducted by MarketingProfs concluded that businesses that used AI in their ABM strategies had 59% higher closing rates as compared to others. They saw a 58% increase in their revenue and a 52% increase in their conversions.
Ways Salesforce's AI Einstein Aided U.S. Bank in Growing Revenue
The U.S. bank used Salesforce’s sales cloud AI, Einstein, to boost their revenue. Their lead conversion rate increased 2.35 times after implementing Einstein. They were able to create a model to predict lead conversion. They did this by using Einstein to search through customized historical lead data.
“We work to build high-quality, personalized relationships between our customers and their financial advisors or commercial bankers. There is nothing that replaces that person-to-person interaction. What AI allows us to do is augment that relationship. We can provide our teams with better data and smarter insights, which helps them establish stronger relationships.”
– Srini Nallasivan, Chief Analytics Officer, U.S. Bank
Summing It Up
AI-based marketing can enhance your ABM strategy only if qualitative data is available. Therefore, businesses will need to have clear marketing goals and turn data into an asset.
FAQs
What are the challenges in the AI-based ABM strategy?
Managing, protecting, and enriching data obtained from CRM and other customer support systems can be challenging.
How can AI help in strengthening your ABM strategy?
AI helps with personalizing content, automation, ABM optimization, and providing predictive insights for lead conversion.
What does a strong AI-based ABM strategy do for your business?
A strong AI-based ABM strategy helps with account profiling, analytics, reporting and hyper-individualized content, which leads to increased lead conversion.
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ABM Accounts
Article | July 13, 2022
ABM implementation may be commonplace in the B2B domain, but the application of fundamental ABM concepts is not consistent. This inconsistency can impact the success of an ABM strategy. So, how can you ensure the success of your ABM?
Follow these four simple steps:
Look for Potential in Target Accounts
Your sales team must investigate the target accounts' potential. The sales team must act confidently when a buying group becomes active. Your team should build relationships with unengaged buying groups. This helps inspire new buying initiatives. It may also increase the buying group's proactivity.
Go Beyond the Lead-based Approach
Your sales and marketing teams must move past their lead-based approach for ABM to work properly. Leads alone won't deliver the desired impact and may even have negative effects. Sales management must understand the subtleties and motivate change in mindsets and processes.
Participate in Buying Group Marketing
Your sales team needs better group and individual monitoring technologies to implement buying group marketing to ABM. Quality purchase intent data can provide insights into the behavior of target account individuals. Appropriate intent data can show which solutions and purchase-related topics resonate with each buyer. Your team can then create better tactics and outreach.
Upgrade Your Sales Approaches
Present a high-value offer (HVO) that combines insights into the buying group's needs and interests, as well as their business. Address the challenges that you are facing in ABM execution with this HVO. Bring together your marketing, sales, and account executives to chalk out relevant processes, roles, and responsibilities.
With an Empowered Sales Team, Your ABM Engagement Rises
An enabled sales team can help you drive improved revenue from a defined set of target accounts if it has the right approach and flexibility to optimize its processes and responsibilities.
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