Programmatic ABM
Article | June 9, 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 | June 20, 2023
Many marketers define ABM as good B2B marketing. Targeting the right accounts at the right time with an appropriate message is the golden aim of account-based marketing (ABM). ABM ensures not only reach but also accuracy.
In an interview with Media 7, Ryan Phelan, Marketing Chief / Fractional CMO at Origin Email, talked about the importance of ABM technology and the challenges in marketing after the COVID-19 pandemic began.
"B2B companies should adopt ABM technology to level up their communications and react quickly."
ABM technology enables marketers to hit pipeline and revenue targets swiftly while working alongside sales teams.
Salesforce provides ABM automation to its clients using AI Einstein technology in their Customer Success Platform. But what does Salesforce’s ABM platform look like? How are they finding accounts that need a sophisticated AI-run ABM marketing platform?
How Salesforce Created Its ABM Program
Salesforce considered B2B buyer behavior (purchase intent and engagement) to deliver a solid marketing and sales experience for each of its strategic accounts. Accordingly, it took the following steps to kick-start its ABM program:
Defining ABM
Salesforce ABM marketing team handles campaigns that target 300 or fewer accounts.
An ABM program can have many approaches. It can be 1: Many, 1: Few, or 1:1. The smaller the radius of the process, the more hyper-focused the campaign, content, budget, and customer journeys are.
By simply aligning their approach strategy with defined ABM, Salesforce achieved larger deal sizes, higher sales win rates, higher ROI, and faster revenue growth compared to other marketing strategies. It suitably approached accounts that it thought were high value and showed buyer intent for their products and services.
Choosing a Suitable Account-based Platform
Salesforce was aware that it would have to engage a variety of vendors and platforms to run its ABM program smoothly. It had to go beyond building a foundation for its program. For that, it needed dedicated tools and resources. Without account-based partners that could provide them with these tools and resources,it would be difficult to implement their program. They chose RollWorks as their account-based partner, to set up their ABM program.
Putting Together a Dedicated Team to Ensure ABM Program’s Success
Creating a single team to support and execute the ABM program was crucial before launching the ABM campaigns Salesforce had planned. They had teams who knew what ABM was all about; they even ran campaigns in silos. So, Salesforce pooled its ABM resources and formed a single team to carry out ABM-related operations.
Identifying Strategic Target Accounts
With the support of technology, Salesforce validated the list of target accounts and filtered out accounts that weren’t such a good fit using their first-party data. They made sure they looked at all the possible data they had, including third-party, so there was no scope for error. As a result, they had a list of high-value accounts with an ideal customer profile (ICP).
Engaging the Target Accounts
After the target accounts were identified, Salesforce ran campaigns of highly customized content for each stage of the sales journey to entice prospects. Once the prospects entered the sales pipeline, hyper-personalized messages, ads, and emailers were sent to them using AI.
Using Data for Continued Engagement
Salesforce ABM campaigns used all available data to create new or repurpose existing content assets like customer stories, consultation forms, research reports, and blog posts to nurture the leads at every stage.
Cultivating Customer Relationships
Using a specially created ABM dashboard, Salesforce monitored its campaign results to understand which content its leads engaged with the most. Then, it removed the content that did not generate engagement to streamline engagement with previous unengaged leads. The secret was to create humane content that didn’t have buzzwords, consistently maintain brand voice and tone, and make special content that the leads could resonate with.
Educating and engaging the leads increased the deal sizes and customer lifetime value. Holistic reporting helped them evolve their ABM strategy continuously.
By creating a robust ABM program that took care of its targeting accounts’ evolving needs, pain points, and expectations, Salesforce saw a 24 percent faster revenue growth and an 87 percent higher ROI.
How Salesforce Got a 30 Percent Close Rate by Using ABM Technology
While promoting their Boston World Tour Series, Salesforce used ABM campaigns to get registrations. One out of their fourtarget accounts engaged with their content, and an average of five contacts per account engaged with them. In six weeks, they got in touch with 410 target accounts, of which 110 engaged with them. They achieved a 30 percent close rate for their campaign.
Creating an ABM Program like Salesforce
Salesforce has come a long way by using ABM technology to expand its offerings. It has AI-powered products, tools, and services that provide ABM automation to other companies. For example, their ABM Salesforce Marketing Cloud product has helped brands like Herman Miller achieve a 200% increase in their email revenue.
To create an effective ABM program like Salesforce, you can use their steps as a blueprint. These steps apply to all kinds of businesses, but if you still don’t know how and where to start, find the answers to the following questions to comprehend what you can do next:
Do you think ABM is right for your business?
Are there any customer accounts that require special attention?
Can your business fund expert consultation for ABM and eventually an ABM program?
Once you find the answers to the above questions, you can take your first step towards building an effective ABM program that can help you scale your business.
Conclusion
ABM technology is revolutionizing B2B marketing by harnessing AI and targeted approaches, personalization, and automation using high-quality intent data. Implementing an effective ABM strategy is crucial to driving ROIs and growth.
FAQ
How does ABM differ from a traditional lead generation marketing strategy?
ABM helps you target high-value accounts with hyper-personalized content, instead of presenting generic content to unclassified accounts.
What is an ABM platform?
An ABM platform is a technology that helps marketers run their ABM programs at scale.
Why is ABM important in your marketing efforts?
With the help of ABM, marketers may be able to shorten their sales cycle, increase their marketing involvement in the sales funnel, and achieve a high ROI.
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Account Based Analytics
Article | August 3, 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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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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