How LinkedIn ABM Enhances B2B Branding

Core ABM

Article | July 1, 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? 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Core ABM

Article | June 6, 2022

Inconsistent language in B2B marketing is becoming a growing hurdle for collaboration. I attended a workshop recently that brought together members of different marketing functions to train them on ABM. The task was simple enough: Act as the agency and put together an ABM brief. We didn’t have any trouble understanding the assignment. We just couldn’t seem to speak the same language. We were discussing the same topics and working toward the same goal. But the variations in how each of us used established B2B marketing terms made collaboration harder. And so, it got me thinking. How often have you sat in a meeting and understood what someone has said but not what they’ve meant? Sure, you understand that impressions measure how many times someone’s seen your ad. But why does it matter? How does it contribute to revenue growth and the overall performance of the campaign? What does it mean to me? I was reminded of when we were learning a foreign language in school. You could try directly translating a sentence to English, but chances are it wouldn’t make much sense. A translation would only add up when you understood its grammatical and syntactical context. So, if we (no matter how humorously) consider B2B marketing a language of its own, why aren’t we as rigorous in policing our use of terminology? Growing pains In the past, B2B marketing departments were seen as single-focus, cost center arms of a business. Since then, the Marketing remit has grown considerably. Tools and technology allow us to work on everything from insights and analytics to bespoke, hyper-personalized 1:1 ABM programs. Sales and Marketing alignment is helping prove our contribution to the bottom line. And we’re finally becoming a revenue center. But I think there’s a catch. The same increased responsibilities that allow us to connect our marketing activity to revenue have made the language we use more inconsistent. Teams are more specialized than ever. And the size of the marketing department has expanded massively. There are even employees in the same functions who’ve never said a word to each other. This creates bubbles of intradepartmental dialects. Linguistic nuances that create collaborative hurdles between teams, departments, and even organizations. Time that should be spent planning, producing, and activating is lost to soul-destroying email chains and inane meetings clarifying points of uncertainty. Things I’m sure we’d all be happier without. The effects on business Then there are the impacts inconsistent language has on your business. Brief your teams unclearly and budget/resource that could be used more productively is squandered on multiple revisions. Chains of stakeholder questions that could have been easily avoided with greater context can result in strained working relationships. Levels of employee stress can increase out of fear of asking a question and sounding stupid. And perhaps the scariest of all – misunderstandings of key deliverables that find their way through to your final outputs. Standardizing our use of language can help alleviate these challenges. Key performance metrics will always differ between functions. KPIs like leads generated and engagement will be valuable to your Marketing or social teams, but not Sales whose sole focus is accelerating pipeline. But it’s context that helps tie everything together. It saves you questioning why everyone’s talking about split testing and not A/B testing (before realizing they’re the same thing an hour into the discussion). It clarifies why certain conversations are happening, sets clear expectations of what needs to be done and by whom, and breaks down siloes between departments. It stops important points of discussion from being lost in translation. Speaking the same language Driving revenue through a more unified marketing and sales function is becoming core to what we do. But we need to take a step back and evaluate our use of terminology. Before considering Sales and Marketing alignment, our marketing teams have to speak the same language. Collaboration is a product of good communication. But siloes across your marketing department can stand in the way of productivity. Making a concerted effort to convey the scope and role of specific marketing functions, core metrics necessary for success, and ways of working for each team helps promote a more collaborative work culture. It’s our responsibility to ensure we’re all on the same page before starting group projects or aligning with other branches of business. Recognizing the inconsistencies in our language and addressing them in advance helps reduce wasted time and resource. It sets us up for success by reducing the number of roadblocks in the way of our work and path to revenue growth. Marketing departments in B2B industries will likely continue to grow. And for organizations like B2B tech enterprises, the challenges associated with inconsistent language are only exacerbated by teams spread by geo, mother tongue, and culture. Creating clear and consistent rules for the language we use as B2B marketers can help overcome these barriers, allowing us to focus on creating exceptional marketing. Some ways forward So, how do we create guidelines for more consistent marketing language? I won’t say I have all the answers. But I do think there needs to be a shift in employee education and training with a view to standardizing nomenclature. Glossaries that include company-specific frameworks can be a great way to provide context and meaning to your business’ use of terminology. Pre-recorded video resources with your subject matter experts can be paired with an intranet site to offer a more interactive, always-on education and training solution. Or, better still, regular workshops across departments to promote cross-functional understanding of why terms are used at certain times. I’d also recommend reviewing your corporate team structures to see which stakeholders have a seat at the table. Changes in how your teams communicate can only come from the top down. And a reflection on how your use of language affects those you work with, through researching communication processes/best practices or otherwise, can be a step toward fostering a more collaborative work culture. Establishing clear definitions for common language allows us to work closer together. It breaks down barriers to collaboration and lets us focus on common business goals. If Marketing really wants to become a revenue center, we need to start speaking the same language.

Core ABM

Article | August 8, 2022

Understanding how a B2B buyer’s journey naturally progresses is key to designing a digital marketing program that works in any economic climate. When we do this with our clients, it allows us to see their marketing as a whole, rather than looking at isolated marketing tactics and getting overly focused on minor issues. Once we understand what’s already working for a client, we can then apply an informed strategy to amplify their successes. Occasionally, we may also recommend that a client step back from a few marketing tactics that might not be working well enough.

Article | April 13, 2020

Account-based marketing (ABM) is becoming more popular as companies begin to realize that traditional funnel marketing does not produce the same results it used to in the B2B space. ABM gives the ability to personalize sales and marketing outreach on the account level, and technology helps us do it at scale. In this article, we uncover the best tactics you can implement in your ABM strategy to personalize your outreach for marketing, sales & service.