Buyer Intent Data
Article | August 23, 2022
There is a New Marketing Landscape and it is critical for companies to rethink their marketing and sales strategy. This is a world of financial uncertainty for your prospects and customers, resulting in decreased budgets, longer sales cycles, and higher churn. It’s also a world of competing priorities. Key influencers and decision makers are drowning in priority issues, making it challenging to earn their attention. Given these new realities, Account Based Marketing/Sales/Customer Success (ABX) is top of mind for marketing and sales leaders given its proven efficiency and effectiveness in engaging and converting priority accounts.
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Buyer Intent Data
Article | October 7, 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
Account-based marketing (ABM) has been around for long enough now that most companies have either rolled out strategies or are actively exploring their options. Looking at the ABM adoption model produced by the ITSMA, an industry association for technology-based marketing and services, many companies are in the experimentation stage and looking to further refine their initial pilot programs. As you begin to experiment and expand your ABM programs, there are many complexities that you can introduce like content personalization, website personalization, scaling accounts and channels, and additional technology and automation, to name a few.
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ABM Accounts
Article | June 10, 2022
Are you thinking about ditching your revenue team’s creaky, ineffective sales approach and embracing ABM … but aren’t sure of what you need to know? You’ve found the right blog post.
Today, we’re providing some mind-blowing highlights from a recent webinar hosted by Kerry Cunningham, our Senior Principal of Product Marketing.
The webinar unpacked what matters most for launching an effective ABM program and offers actionable tips for sales and marketing teams. It’s well worth a watch. But if you’re short on time, here are some insights. Kerry started the webinar by sharing some hard truths about the state of selling:
Hard Truth #1: If They’re a Lead, You May Be Too Late
B2B sales used to be all about leads. Even now, many revenue teams lean heavily into the lead-based mindset. But the emergence of Account-Based Marketing brought many revelations to revenue teams, including that account opportunities are far more important than individual leads.
When you turn your (obsessive) attention from solo buyers and instead examine the full spectrum of interest or intent that an entire organization is expressing in your solution, you’re able to dramatically increase the quantity and quality of your sales intelligence.
Without this analysis, your team won’t be aware that buyers are conducting so much research on their own that by the time your team determines that they’re an early-stage “lead,” they may in fact be much farther down the buyer’s journey than expected.
Your team plays catchup after that, putting them at a competitive advantage.
Hard Truth #2: B2B Buyers Aren’t Even ‘Buyers’ Anymore
These days, buyers are no longer individuals, but rather teams of people. On average, buying teams often include 10 people, Kerry explained.
“Not everybody involved in the buying process is going to be sitting at the table at the end of that last meeting when they sign the deal,” Kerry said, “but all of those folks are doing some research.”
How big are these teams? From the webinar’s transcript:
Kerry: “For bigger deals, there may be as many as 20 or more people involved. And again, all of those folks are having interactions. In fact, Forrester Research did a study recently that showed that on average, post-pandemic, buyers are having 27 interactions each. So when you have 10 people or 20 people, and they’re having 20-something interactions each, that adds up.”
But there’s an upside to all this activity, Kerry said. As buyers conduct research, they leave behind digital “breadcrumb trails” or “footprints in the snow” across the internet.
Sellers armed with leading account engagement technologies can track, aggregate and de-anonymize these intent signals. ABM tools help them better understand the buyers’ research and buying processes.
Hard Truth #3: You Might Deal with Multiple Buying Teams
Depending on the scope of your solution’s capabilities, your sellers may contend with more than one buying team.
Here’s an example: Let’s say a company is looking for a solution to handle the needs of many departments or divisions. Each division may task its own buyer or buying team to conduct its own research to find solutions that effectively solves its own business problems.
If your solution can serve the needs of multiple divisions, your revenue team is in a good position, especially if your team can proactively identify the divisions’ unique needs. (Account engagement platforms do a great job of this.)
However, don’t assume that your solution can be everything to every division, Kerry warned.
Kerry: “If you sell multiple solutions — say you’re a big tech company and you have three, four, five solutions — you may be selling to multiple buying centers. But those buying centers may not all be great prospects for your solution. So take into account the fact that some of the buying centers inside those specific accounts may or may not be good prospects for you.”
Hard Truth #4: Buyers Think They Know Everything About Your Solution (But Actually Don’t)
Many buyers believe they can get all the information they need about your solution (and your competitors) exclusively through online research, Kerry said. This is super-convenient for buyers, but sellers can’t fully control the narrative. That leads to big problems.
Kerry: “Not all the information that they get is going to be accurate. It certainly may not be how you’d like to present yourself. So one of the things that’s really important is you have to understand how your buyers are finding out about you.”
This requires identifying other likely sources of information — such as content from competitors or unreliable analysts — and proactively engaging buyers with data and talking points that counter this misinformation.
Conclusion
Pivoting to an account-based approach isn’t always easy, especially for revenue teams that are entrenched in a older sales approaches. But making the change to ABM can revolutionize your business, Kerry said.
“Within the first year, 6sense clients who take all of these new techniques on board are able to produce substantially better results, bigger deal sizes, better win rates, and even shorter sales cycles,” Kerry said. “This is really the way B2B ought to be done.”
We’ve covered a few hard truths in this post, but come back tomorrow for Part 2 of this series. We’ll provide some helpful and actionable ABM tips then.
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