Buyer Intent Data
Article | September 11, 2023
Recently, Contentgine, a content-based marketing agency, released its latest ‘Top 5’ research ranking for popular artificial intelligence (AI) related content consumed by B2B decision-makers. The content assets, mostly e-books, that made it to the list focus on predictive analytics, cloud-based machine learning (ML) technologies, deep data analytics, and more.
But why are B2B decision-makers so curious about AI and ML?
They want to use AI and ML-based solutions effectively to streamline their business processes and improve their marketing strategies.
Digital transformation, heightened consumer expectations, and changing buyer dynamics govern the way B2B decision-makers utilize their resources. Let us look at what is making them seek AI and ML-related content on such a high scale:
AI Simplifies Decision-Making
A survey conducted by SurveyMonkey concluded that 6 out of 10 B2B decision-makers experience decision paralysis—difficulty in choosing an option from a few viable ones—more often than expected. Furthermore, reaching a consensus becomes cumbersome if too many stakeholders are involved in the decision-making process. In such sticky situations, AI algorithms come to the rescue. They leverage heterogeneous data from social media, reports, website activity and more, to offer insights on management and resource allocation, assist in troubleshooting problems and aid strategic development. They alleviate issues that insufficient data and a lack of proper tools to measure metrics pose. They present a clear picture in front of the decision-makers to enable them to make an informed decision.
Assists in Lead Generation
Forget archaic, standard prospecting tools. You can effortlessly conduct lead generation research using various complex parameters with AI-powered tools. You can also analyze customer behavior, create dynamic, intuitive, secure and valuable lead lists. Sifting through massive lead generation data to discover the client profiles that match your ICP gets easier. On the other hand, ML helps with demand prediction, churn prediction, local optimization, and sentiment analysis, so you can offer an excellent customer experience to your leads. AI lead generation tools such as Conversica, Drift, and LeadCrunch can have conversations with your leads, collect their email addresses, and qualify them even before handing them off to the sales teams. AI-powered lead scoring can help you identify intent signals that your marketing teams might have missed.
Optimizes Content Strategy
Let’s face it. You don’t want to sell Eskimo ice. Irrelevant content sabotages your chances of creating a lasting relationship with your prospects. Your content should align with your customer’s needs and pain points. Thanks to machine learning, deep content personalization is possible. ML can analyze content assets on your website and send the relevant ones to a prospect at the right time based on their position in the buyer’s journey.
AI and ML Are Changing the Game for B2B Businesses
According to an O’Reilly survey commissioned by MemSQL, 71% of executives said that ML and AI are game-changers for their business. B2B decision-makers are investing their resources in exploring the advantages of AI and ML in-depth. They are keen to implement AI systems and ML-based solutions to eliminate human errors, continuously analyze vast amounts of raw data, and harness structured solutions to problems they face in executing their business processes.
VMWare Uses Acrolinx to Streamline Content Program
AI-enabled content solution Acrolinx offered VMWare real-time dashboards on the results of its content activity. The qualitative report helped VMWare focus its resources on making its content better so that it could get more conversions.
Closing Thoughts
“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon.
“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon. AI and ML can significantly impact business operations and marketing campaigns in the B2B domain. To have a competitive edge in the market, understanding their importance and figuring out where and how to use their power will no longer be a choice but a necessity.
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Buyer Intent Data
Article | June 20, 2023
When it comes to ABM vs. demand generation, most businesses struggle to find the right balance. Swinging too far one way or the other can completely derail your performance — and your organization's trust.
Here are some things you can do to get the best of both ABM and demand generation:
Check If You Are Too Heavy on Demand
If you are someone who focuses more on demand, then you should:
Gather insights from data, intelligence, and signals to develop a strong ICP. A strong ICP will help you target the individuals that make up the buying committee.
Keep your TAL (target account list) short and base it on buying intent.
Build an ABM program that encompasses teams, channels, and activities to gauge output and refine the use case.
Engage the double funnel to understand where you should draw the line between ABM and demand generation.
Are You Too Focused on ABM?
For the account-based marketer in you, it must be very hard to think beyond your target accounts. To balance this out, you should:
Get more information on the channels and tactics that your buyers respond to.
Draft messaging that creates urgency around your target account’s pain points.
Test your content on a large audience to see which gets the most engagement.
Use these insights to find the right balance between your demand generation strategy and ABM.
Beat the Odds When Implementing Strategies
Issues like no alignment between your sales and marketing teams and a superior insisting on implementing 100% ABM may arise. To address such issues, you should:
Expertly measure your data so all your responses are data-driven.
Chase directional improvements instead of trying to perfect your strategies right away.
Define a single metric for success, so your teams work towards achieving the same goal.
Keep your efforts balanced when implementing demand gen and ABM strategies.
Conclusion
If you do not strike a delicate balance between your ABM and your demand generation plan, your SDR teams will get overwhelmed and may not reach the level of efficiency you desire. Remember, your demand generation program should supplement your ABM efforts and not drive them.
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Account Based Data
Article | June 29, 2023
Metrics, Analytics, and Insights in ABM
It is a fact that ABM gives a higher ROI as compared to other marketing strategies. If you are a marketer who has painstakingly built an ABM strategy from scratch, you would understand the amount of time it takes to execute it and for it to show measurable results. How do you measure the success of your ABM strategy? You need to understand the metrics, analytics, and insights. Marketers use these terms interchangeably, but there is a difference between them.
By using raw data points, metrics show you the incremental changes in how target accounts interact with your brand.
Analytics compares the metrics over time to show you how your ABM strategy is performing.
Metrics and analytics together help you gain insights into what is working and what isn’t.
Insights help you take action to improve your ABM strategy.
To measure the success of an ABM strategy, you need to use ABM Key Performance Indicators (KPIs) metrics. ABM KPIs track the performance of your strategy with respect to customer service, marketing, efficiency, revenue, and employment statistics.
In an interview with Media 7, Abhi Yadav, Founder & CTO of Zylotech, talked about the importance of customer intelligence in marketing:
Tracking every point of engagement is critical in delivering a holistic view of where buyers are actively engaged and what’s working.
Defining ABM KPIs
Use the SMART criteria to evaluate the effectiveness of a KPI. SMART stands for Specific, Measurable, Attainable, Relevant, Time-Bound.
By identifying how well the KPI fits into these criteria, you can define it. Find answers to the following questions to define your KPI:
Is your goal specific?
Is your goal measurable?
Is it attainable?
Is it relevant to your business?
Is the goal time-bound?
A well-defined KPI should be a part of your marketing analytics strategy to accurately track the performance of your ABM strategy.
KPIs You Should Measure to Track ABM Success
Sales Funnel Metrics
Measuring sales funnel metrics can quickly pinpoint where your ABM strategy has fallen out of alignment with your business goals. They can be classified into three types:
Upper Funnel Metrics
Upper funnel or top-of-funnel metrics track the engagement rate of the leads within your target accounts. They assess the time taken for a lead to complete specific actions like opening your emails, receiving, or responding to direct mail, visiting your website, and more. You can pinpoint which leads are closer to buying based on the increase in engagement. These metrics also help you know which accounts don’t know anything about your company. You can improve your strategy to capture these accounts.
Is there a huge gap between the products and services your target accounts want and the ones you offer? This gap is the white space. Find your white space by identifying where you lack engagement within your accounts. Should you consider targeting different accounts? Eliminate the white space once you find the answers to these questions. Your goal should depend on the size of the company and the number of ICPs you are targeting.
Middle-of-Funnel Metrics
These metrics help measure the impact of your campaign on your top accounts. Are your target accounts having productive meetings and engagements with your sales team? Swiftly moving your leads to the sales team is an indicator of an effective ABM campaign. Also, you should measure the quality of the campaign based on how many leads move to the next stage of the funnel.
Bottom-of-Funnel Metrics
For the bottom-of-funnel metrics, measure average selling point (ASP) to gauge if you have targeted the right accounts with your campaign. If you have a higher close rate within your ABM accounts that means your campaign is performing well. As compared to other marketing strategies, ABM helps businesses increase their close rate.
Customer Churn Rate
The customer churn rate, also known as the attrition rate, is the number of accounts that have stopped doing business with you over a period. It should be as low as possible. It is a metric to measure the quality of the relationship you have with an account. ABM is a qualitative marketing strategy. If your churn rate is high, then reevaluate your products and services and confirm that you are targeting the right accounts. Understanding your target accounts better is the easiest way to decrease your churn rate.
Content Engagement
Content management is of paramount importance while running an ABM strategy. With this KPI, you can track the engagement each piece of content brings. The pieces that don’t perform well should be scrapped or improved to better suit the needs of your target accounts. Email open and click-through rates point towards ineffective subject lines, content, and CTAs.
Form Fills
Form fills are important for collecting data that helps with nurturing and engaging leads. Track your form fills to confirm if you are gathering information effectively. Adjust your campaign if you are not getting the expected results.
Conversions during the Customer Journey
A good way to show your customers that you care about them is to give them several opportunities to buy or sign up. It's important to keep track of the conversion rate for each CTA so that you can figure out where customers are losing interest in the sales process. Having this information will help you improve the customer journey.
Phone Calls and Scheduled Demos
Keeping a record of your phone calls and scheduled demonstrations is crucial to measuring your ABM success. You are creating a personal connection while interacting with the customer so they may take you closer to converting a deal.
Conversion Rate
Every ABM strategy’s aim is to drive sales and acquire new customers. As a metric, the B2B conversion rate is important because it helps you evaluate the success of your campaign and compare your performance to the previous year.
Customer Retention
Assess the health of your accounts by measuring customer satisfaction. A Net Promoter Score (NPS) can determine how satisfied your accounts are with your product or service. You can seek their feedback and use it to create better customer experiences and, in the future, design products and services to cater to their needs so you can retain your customers.
Average Deal Size
This KPI is primarily used by sales managers to understand how well they have utilized the opportunities that have come their way. It is calculated by dividing your total monetary amount of deals by the total number of deals that were converted. It can help the sales team understand what the average deal size is that they are looking at and what they can aim for.
Popular ABM Analytics Tools
The most popular and widely used ABM analytics tools are Microsoft Excel, LeanData, Salesforce, Google Analytics, Marketo, Engagio, DemandBase, and Terminus.
How ServiceMax Saw a 300% Increase in Their Conversions Using DemandBase
Using DemandBase’s Forms solution to collect user data, AI-powered DemandBase Site Optimization for data personalization, and DemandBase Analytics to understand traffic trends, bounce rates, conversion rates, and other critical website metrics, California-based Service Execution Management company ServiceMax, witnessed a 300 percent increase in their conversions, a 70 percent decrease in bounce rates, and a 100 percent increase in page views per session.
Key Takeaways
Measuring the success of your ABM strategy is crucial to understanding the strong and weak points of your strategy. A lot of trial and error goes into creating an effective ABM strategy. Define and measure your ABM KPIs to optimize your ABM strategy for better results.
FAQ
What are the most important ABM KPIs?
Some of the most important KPIs are upper funnel metrics, customer churn rate, and conversion rate.
What are some popular ABM analytics tools?
Popular ABM analytics tools include Salesforce, Google Analytics, Marketo, Engagio, DemandBase, and Terminus.
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Account Based Analytics
Article | December 6, 2021
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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