Programmatic ABM
Article | June 9, 2022
Account-based marketing in healthcare helps marketers reach institutional decision-makers based on intent and target accounts. However, ABM becomes a bit more complex in the healthcare domain where the needs, regulations, and procurement processes vary widely, and so do the ways healthcare providers communicate. For an ABM strategy to work in this domain, effort, time, tailored content, and deep customer insights are necessary.
ABM Strategy in Healthcare
Here are the co-ordinated steps you need to take to implement ABM in the healthcare domain:
Getting Buy-in
Get buy-in from sponsors at the highest level and coordinate with functional stakeholders. Create client-centric teams and decide on KPIs that matter.
Identify Key Accounts
With the help of sales representatives and relationship managers, identify key HCP accounts that can benefit from your ABM strategy.
Conduct Extensive Research
Deep-dive into research on these key accounts, their history, buyer journeys with you. Find out their current and future needs and issues, and their status within the market.
Tailor Your Content
The research will help you tailor the content for your content marketing strategy. Address the decision-makers with content that solves their pressing issues to get the conversions you want.
Analyze & Adjust the Strategy
Analyze campaign results from time to time (preferably quarterly). Based on your identified KPIs, check what is working and what isn’t bringing the expected results. Adjust your strategy accordingly.
What to Expect from ABM in Healthcare?
Salesforce recently conducted research among healthcare marketing professionals. The results showed that 70% believed connected customer journeys positively impacted client loyalty and willingness to recommend products to others. So, ABM could be a great way to increase your revenue and get a higher ROI as compared to any other marketing strategy.
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Buyer Intent Data
Article | March 6, 2023
Intent is an indicator that an account is interested in a certain topic, based on the content consumption of people within an organization. I know that sounds a bit abstract, so let’s look at how it actually works. Let’s say that Gio is looking at some content on marketing attribution. Gio is a Marketing Operations Specialist at Whale Enterprises, and he’s considering buying some new software. Gio’s research is creating intent data that can be tracked by intent providers, who can then let marketing attribution providers know that Whale Enterprises is showing intent to buy a marketing attribution solution.
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Account Based Data
Article | August 19, 2022
ABX is about quality, not quantity.
The traditional metrics that have been used to gauge ABM success are not useful in the experience-centric realm. The new and more complex benchmarks for measuring success revolve around:
Relationship analytics
Journey analytics
Attribution analytics
Once you’ve successfully closed accounts, you want to make sure you understand which ABM programs helped to contribute to that sale so you can rinse and repeat. This is where you can evaluate how a vendor measures ABM success and the entire Account-Based Experience. You will want to choose a vendor who can help you optimize your programs from the top of the funnel to the bottom, and grow your customer’s lifetime value.
Some examples of metrics to measure include the volume and velocity of an account as it makes its way through the buyer journey. This helps you understand whether your programs are engaging enough as well as whether your sales cycle is too long.
A strong ABM vendor will also have different methods for measuring attribution since not all businesses are alike, and marketers love seeing attribution models so they can measure the success of their marketing efforts and ROI.
Other metrics to consider include advertising campaigns and website visits – but with an account-based lens. After all, you want to understand whether your advertising is reaching the right accounts and which accounts are engaging on your website. If you find you’re short-staffed, some ABM vendors offer strategic services to help you with your ABM strategy and measurement. To learn more about vendor onboarding and support, read the next section.
Because ABX has a different set of metrics than ABM, when it comes to measuring the performance of the ABM solution from the vantage point of the customer experience, the scope also changes.
The vendors on your shortlist should, among other features:
Offer a dashboard to measure ABM impact from across the funnel.
Track volume, velocity and conversion metrics for each journey stage.
Offer customizable subscriptions for all custom reports.
People and account based heatmaps.
Allow you to combine first party, third party, firmographic and technographic data for segmentation and reporting.
Allow you to compare the performance of different audiences or account lists and evaluate the impact of specific programs.
Enable you to see the engagement and activities that influenced the different stages of a deal cycle.
Measuring a journey and a relationship in the long term requires measuring as much data as possible, so find out if they also:
Centralize your existing data sources in one location?
Track B2B metrics by account?
Track and report on anonymous first-touch visitors by account?
Have strategic services in place to help you set up ROI reporting based on your strategies? Allow you to compare different timeframes for account stages?
Provide advanced BI capabilities for ABM?
The point of measuring is to take action based on knowledge and insights, and having an ABM solution that allows you to bring together all of the relevant data points for your decision-making is pivotal for the success of your business. Our agnostic Definitive Guide to Choosing an Account-Based Marketing Platform provides you with checklists like the one above as well as the reasoning behind the need for each of the features outlined in the ebook. Check it out and take advantage of the printable list we put together for your own use at the end of the guide.
ABX is about quality, not quantity. The traditional metrics that have been used to gauge ABM success are not useful in the experience-centric realm. The new and more complex benchmarks for measuring success revolve around:
Relationship analytics
Journey analytics
Attribution analytics
Once you’ve successfully closed accounts, you want to make sure you understand which ABM programs helped to contribute to that sale so you can rinse and repeat. This is where you can evaluate how a vendor measures ABM success and the entire Account-Based Experience. You will want to choose a vendor who can help you optimize your programs from the top of the funnel to the bottom, and grow your customer’s lifetime value.
Some examples of metrics to measure include the volume and velocity of an account as it makes its way through the buyer journey. This helps you understand whether your programs are engaging enough as well as whether your sales cycle is too long.
A strong ABM vendor will also have different methods for measuring attribution since not all businesses are alike, and marketers love seeing attribution models so they can measure the success of their marketing efforts and ROI.
Other metrics to consider include advertising campaigns and website visits – but with an account-based lens. After all, you want to understand whether your advertising is reaching the right accounts and which accounts are engaging on your website. If you find you’re short-staffed, some ABM vendors offer strategic services to help you with your ABM strategy and measurement. To learn more about vendor onboarding and support, read the next section.
Because ABX has a different set of metrics than ABM, when it comes to measuring the performance of the ABM solution from the vantage point of the customer experience, the scope also changes.
The vendors on your shortlist should, among other features:
Offer a dashboard to measure ABM impact from across the funnel.
Track volume, velocity and conversion metrics for each journey stage.
Offer customizable subscriptions for all custom reports.
People and account based heatmaps.
Allow you to combine first party, third party, firmographic and technographic data for segmentation and reporting.
Allow you to compare the performance of different audiences or account lists and evaluate the impact of specific programs.
Enable you to see the engagement and activities that influenced the different stages of a deal cycle.
Measuring a journey and a relationship in the long term requires measuring as much data as possible, so find out if they also:
Centralize your existing data sources in one location?
Track B2B metrics by account?
Track and report on anonymous first-touch visitors by account?
Have strategic services in place to help you set up ROI reporting based on your strategies? Allow you to compare different timeframes for account stages?
Provide advanced BI capabilities for ABM?
The point of measuring is to take action based on knowledge and insights, and having an ABM solution that allows you to bring together all of the relevant data points for your decision-making is pivotal for the success of your business. Our agnostic Definitive Guide to Choosing an Account-Based Marketing Platform provides you with checklists like the one above as well as the reasoning behind the need for each of the features outlined in the ebook. Check it out and take advantage of the printable list we put together for your own use at the end of the guide.
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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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