How To Execute Account-Based Marketing At Scale

Core ABM

Article | June 20, 2023

The disruption from 2020 has forced many companies across different industries and verticals to improve their digital potential, including technology adoption. Among the industries, account-based marketing practitioners had to adapt to change in 2020 – and fast because it created a host of challenges in B2B. Industries and businesses had to find the right technologies that allow growth, as companies now have to operate in the only digital world. But, even in the time of uncertainty, Account-Based Marketing (ABM) has gained traction. This is good news for enterprise tech vendors. Gartner estimates that expenditure on technology will rebound in 2021, with the enterprise software market predicted to surge by 7.2%. This seems to be a year of growth, improvement, and success for those organizations deploying account-based marketing as part of their B2B strategy. In addition, one of the global data leaders, Acxiom, has experienced rapid sales growth from its technologically blended ABM program. Before considering a fully technology-based ABM strategy for 2021, it is crucial to understand how technologies fuel ABM growth. Technologies are Fueling ABM Growth Well, it's easy to understand and see how and why the technology-fuelled revival of ABM is taking hold. Let's see where B2B marketers are gaining profits. They are : Driving improved deals, higher close rates, and earning more revenue Winning strategic accounts in their industries Getting higher ROI Reaping benefits from additional marketing strategies The 2019 State of ABM study by SiriusDecisions validates this trend in ABM results in: 91% of the B2B companies realizing larger deals by adopting technology in ABM. 92% seeing a higher percentage of qualified opportunities in ABM accounts than in non-ABM accounts. More B2B marketers are moving towards tech-enabled ABM programs, where it was 62% in 2020 compared to 40% in 2018. ABM in the overall marketing budget of companies surging rapidly. With the rise in internet usage, which accelerated digital marketing, it was challenging to understand individual behavior. Now, marketers are empowered with account-centric targeting, measurement, and personalization across all their digital channels. Because marketers dedicate more budget to their ABM programs by upgrading technology stacks. It plays a significant role in making ABM scalable. So, explore the critical technology trends propelling ABM today and shaping its future for marketing purposes in this blog. How much does your tech stack matter? The most influential tech marketing programs invest more in data, insight, and analytics. And that's because you have no hope of successfully engaging with your target accounts. Despite the rapid acceleration of digital transformation in 2020, few organizations already have a mature tech stack. 25-39% of them used it for content syndication, sales automation, evaluation as third-party data, and reporting software. By this, you must have understood that investing in technologies or technology that is attributing results supporting your ABM efforts is essential. But this doesn't mean the more tech you have, the more successful you will be. It's more a case of having the proper fundamentals (tech-wise) in place that deliver value. Likewise, other tech fundamentals like intent data fully functioning (and ABM-ready) CRM are perhaps the most important tech pieces to have in place. They are listed under the top planned investments for 2021. Here are five tech trends for ABM that will make a tangible difference in your business. Automation Reduces Risks To execute account-based marketing, marketers need to introduce automation to engage accounts through a handful of channels. Marketers can engage all the named accounts of the sales team and their long tail of target accounts through automation. This allows the marketing team to create demand in the accounts they're pursuing and alleviate the risk of putting all sales requirements in one place. This is possible by continuous demand generation through different channels, probably the less expensive ones (and alerting accounts from time to time to decrease the risk of missing out). This way, your business will witness a more consistent and coordinated engagement of accounts between sales and marketing. So, ABM automation is a crucial aspect in reducing risks. AI Introduces Personalized Customer Understanding Businesses are witnessing the transformational impact of AI throughout the process, particularly in marketing. While marketers can easily get started with ABM by targeting a list of accounts, AI puts more power enabling them to confidently and precisely identify the accounts to pursue. With AI, marketers can get their ideal customer profile (ICP) at a granular level. Tech-savvy marketers are using AI to analyze their historical sales and implement new strategies to achieve more in the coming years. In other words, AI helps marketers to leverage more information significantly from both internal and external sources to draw more precise models for their ideal customers. AI is also enhancing engagement. According to The State of Engagement, 72% of marketers are expected to prioritize personalized messages and content to engage with customers. Nearly 40% of marketers plan to leverage AI and machine learning to enhance content used throughout the customer journey. So, through AI, marketers can personalize communications in a one-to-one way. This way, they can predict the content that most likely to convert readers across multiple channels. As marketers continue to realize the potential of AI, you will see more rules-based ABM activities that AI enhances. This way, your marketers can efficiently target the proper accounts, engage accounts across channels to get insights to optimize programs. Advanced Analytics Provide Attribution Is your ABM strategy working? One way to find out this is by measuring its impact on the business through advanced analytics. With automated attribution reporting, marketers can find more opportunities, a longer pipeline of accounts, and higher revenue generation in the ABM context. But why? Here are three reasons: Marketers need to show that their partnership with sales to the target audience is working efficiently. Advanced analytics will allow you to compare the efforts and results of one account vs. another to optimize the ABM program. Most marketers plan multiple or blended marketing strategies. So, marketers running an ABM or practicing a blend of it, such as inbound marketing, need to know which investments are working. Advanced analytics can help them to allocate a budget for strategies being used for their business. Therefore, it is expected to witness more touchpoints and data brought into advanced analytics becoming increasingly easier for marketers to consume in the future. Chatbots' Demand in ABM As per Salesforce, 69% of U.S. consumers prefer using chatbots when engaging with brands as it yields a prompt response. A chatbot on your website can answer customers' basic questions every time. AI-powered chatbots can be used for customer support, expanding contact strategy dramatically with a controlled message. These chatbots have become so lifelike that many customers don't even know the difference. And chatbots offer the added benefit of gathering, analyzing, and providing actionable data to improve the customer experience. How Can Marketers Harness This Potential? As per SiriusDecisions' survey, more marketers are doubling their budgets and moving their ABM journey effortlessly. So, irrespective of where you are on your journey, you also need to make sure you always move ahead. When it's time to include technology, be sure to select an ABM platform that supports your marketing journey now and in the future, as well. This means it should support multiple channels and marketing strategies, giving the flexibility to adapt and discover what works best for your organization. Conclusively, look for a platform that can serve as the hub of your ABM technology stack. The ablest place to start is from a platform that will give you the ABM essentials and connect a wide range of technologies to encourage you to grow over time. This way, you can shape your future in account-based marketing in the best possible ways. Frequently Asked Questions How does ABM work? Identifying which accounts (companies) you can target is the first step after creating a buyer persona. The next step is to market them using campaigns to attract potential clients. And then, measure the activities of your account-based marketing campaigns. Metrics, such as clicks, impressions, and page views, are easily measured. Why is account-based marketing important? ABM helps to assemble marketing efforts through multi-channels and analyses key accounts' status to drive more revenue. It also maximizes the efficiency of your B2B marketing resources and aligns sales accordingly. How is AI used in ABM? AI solutions in ABM can help the marketing team to make firm data-based decisions faster than before. The usage of chatbots helps to answer many common questions about marketing efforts and benefits. 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Account Based Analytics

Article | August 3, 2022

Dealing with lengthy sales cycles, multiple decision-makers, and aggressive sales quotas must not be new for sales leaders like you. However, if you collaborate more closely with marketing and customer success, you will likely achieve better results with your ABM strategy. According to Forrester, highly aligned businesses grow 19% faster and are 15% more profitable. In this article, we will cover four ABM metrics you should be concerned with and how to track them to inform future ABM campaigns. 4 Metrics to Measure ABM Impact on Sales Pipeline Velocity When calculating pipeline velocity, compare the progression of opportunities through the sales cycle stages before and after. Measure how the velocity compares to previous cycles, whether you're running an ABM pilot or a mature program. Pipeline Velocity will help sales teams find opportunities during the sales cycle and close those good deals faster. Average Sales Cycle Length Measuring the average sales cycle length before and after the launch of your ABM program allows you to see if marketing activities have reduced the time it takes for your team to convert likely buyers from an opportunity to closed-won deals. A shorter sales cycle results in a greater number of closed deals per year and impressive ROI figures for your team. Average Contract Value (ACV) Average contract value (ACV) is one of the most important ways to measure the success of account-based marketing (ABM) because one of the main benefits of ABM is to find and convert high-intent, high-value accounts. Gartner found that the average deal size for ABM programs was 20% higher than for traditional demand generation programs. Measuring ACV can give you information about sales results and show how changes to ABM planning and strategy affect the bottom line. Customer Lifecycle Value (CLV) Customer Lifecycle Value is an all-encompassing metric that helps you determine how well your ABM program works and lets you predict future ROI. Once you've measured and optimized your CLV, you can assess customer churn and retain your high-value accounts. If you give accounts what they need at every stage of the buyer's journey through excellent customer service and personalized content, your customer churn rate will drastically decrease. Finishing Up Any successful ABM program starts and ends with strategic goals, objectives, and data-driven metrics. ABM programs done right can equip sales teams to point to a more valuable pipeline, shorter sales cycles, and more closed-won business.

Buyer Intent Data

Article | March 6, 2023

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.

Article | April 16, 2020

Empathy is an emotion that many marketers invoke when they are developing their positioning and messaging for various campaigns. They consider questions such as: “If I put myself in the buyers’ shoes, what do I think they think or feel about this particular pain point?” “Do I understand the challenges they are facing?” “How can I help them overcome this issue and provide long-term value?” Over the last few years, many B2B marketers have leveraged account-based marketing (ABM) to address these questions with specific use cases and examples tailored to their target accounts, in order to boost engagement and drive high-value conversions.