Buyer Intent Data
Article | October 7, 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.
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Buyer Intent Data
Article | June 20, 2023
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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Account Based Data
Article | June 29, 2023
ABM is Agent3’s heartland. It’s what we do best. And if you’re a regular reader of our website, you’ll be in no doubt about how strongly we feel about our commitment to ‘true’ ABM, ie, an approach that treats key accounts as markets of one.
Why? Because it works: according to ITSMA, almost 85% of marketers measuring ROI say that ABM outperforms other marketing investments and research by Alterra Group backs this statistic, revealing ABM had higher ROI than other marketing activities.
So when marketers come to us asking for pilot ABM programs on, say, 8-10 accounts it’s little wonder that the results we achieve soon means they’re asking us to ramp up that ABM activity to 50-100 accounts as interest in ABM within their organization is suddenly piqued.
And therein lies the challenge for many.
To scale a ‘true’ ABM program effectively without compromising on the key fundamentals it encompasses involves the alignment of many moveable parts: technology and resourcing are fundamental considerations, but then there’s also the decision about which accounts to include and why, and establishing clear objectives for the program.
It’s not straightforward, but if this is a challenge you’re grappling with currently, be reassured by the multiple survey results available online that you’re certainly not alone.
And it’s for this reason we chose to discuss the topic at last week’s B2B Marketing Ignite USA event with a panel of esteemed marketers: Carrie Feord – Global Head of ABM Industry Clusters, Servicenow, Giovanni Di Natale, senior manager, enterprise and ABM Marketing, Pure Storage and Vera Tatro, strategic account-based marketing, AMER, Splunk. It was great to sit down with these ABM leaders to explore some of these challenges and provide some perspective on how best to successfully navigate them.
In the session, we covered:
1) How people define ABM at scale and where the line is drawn in terms of defining the difference between 1:few/1:many ‘ABM’ and good account-centric demand generation from Product, Solutions and Industry Marketing teams. We also discussed whether certain compromises need to be made as you pursue scale.
2) How to enable teams in the field to scale with ABM: the panel shared successes they have had as well as highlighting ‘banana skins’ teams need to avoid in terms of developing ABM resources/playbooks/templates/toolkits which can then be activated by a growing team of ABMers and Field Marketers. We also discussed ways to embed a ‘build once, use again’ mindset while still being true to the ideals of ABM.
3) Clarification of roles within ABM organisations across marketing when it comes to scaling and succeeding within ABM – the panel discussed what skillsets and roles they see as being important as organizations shift from being small-scale ABM pilots to broader programs.
As you can probably imagine, it was a lively session and audience feedback would suggest we hit upon some very real challenges, so it was great to hear first-hand from the panel about their own experiences, successes and learnings.
If you missed it, I highly recommend carving 30 minutes out of your day to watch, and if you have any feedback or comments, we’d love to hear!
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Account Based Data
Article | March 14, 2022
Buyer intent data is sourced from either internal or external parties. When combined, it provides a comprehensive picture of how your targets behave online. Internal marketing teams provide first-party intent data through your company's website, automation platforms like CRM, or other in-house applications. Third-party data is gathered from buyer intent data tools.
According to a Gartner study, more than 70% of B2B marketers will use third-party intent data to target prospects by the end of 2022.
In an interview with Media 7, Laura Goldstone, Director, Communications and Branding Strategy at AdDaptive Intelligence, talked about the importance of correct messaging in sales and marketing once you know your audience.
“I think the newest trends revolve around being a strategic resource, aligning marketing and sales, and using analytics to tailor messages to your audiences’ preferences or funnel stages.”
Buyer intent data tools provided by intent data providers like Bombora, Slintel, and ZoomInfo collect high-quality intent data to help you identify the accounts that show buyer intent, making it easier for you to understand their requirements and deliver solutions through effective content.
Let's find out how intent data can help your ABM strategy by making sales easier.
Buyer Intent Data: 5 Impactful Ways It Can Help You Boost Sales
Let us look at five benefits of buyer intent data that can help you boost sales:
Create Effective Content
In ABM marketing, the marketing team supports the sales team by generating qualified leads through effective content that addresses the prospects’ needs. There are more than a billion websites competing for a prospect’s attention. Focusing more on engaging your intended audience than on your search rankings could translate to more sales. This B2B intent data will allow your marketing team to analyze the volume and quality of responses to various online 'triggers' like keywords and social engagement. This way, the marketing team eliminates the guesswork in analytics and content research. B2B intent data can assist your marketing team in its intent-based marketing endeavors. The team can develop hyper-personalized, relevant, and timely content that can be used in your sales process to engage with new leads.
Identify Buyer Groups
In the B2B domain, multiple decision-makers sign off on purchase decisions. Your key accounts might have buyer groups, and this may pose a problem for your sales strategy. You will need to appeal to multiple personas who will then make unanimous decisions when purchasing your products or services. When combined with accurate, up-to-date contact information, intent data can assist in segmenting the purchasing process into relevant stages. Buying intent is useful not only for tracking and analyzing individual target prospects, but also for tracking and analyzing entire organizations. Overall, sales teams can craft perfect messages for any target persona that crosses their path, thanks to quality intent data.
Improve Lead Qualification
After your sales and marketing teams have developed an ideal lead generation strategy, you'll want to target leads with purchase intent. The majority of leads generated may not completely align with your ICP (ideal customer profile). If your product or service isn't even remotely relevant to what they're looking for, an automation system that is a part of your ABM services can remove them from your lead list. By delving into their product research activities, using intent data in lead management and outreach helps remove some of these roadblocks. It is critical to have a nurturing system in place and implement a lead scoring process. Intent data reveals where these leads fall within your segmentation, how interested they are in your solutions, and how their purchasing process works, so your effort or time is not wasted.
Increase Customer Retention
The same buyer intent technology that is used to find new prospects and customers can also be used for customer retention. According to Brain and Company, a 5% increase in customer retention can result in a more than 25% increase in profit. Monitoring intent signals can help you identify when a current customer interacts with a competitor or looks for alternatives to your product. It allows you to engage with them earlier and provides you with another opportunity to maintain your customer relationships.
Boost Team Productivity
According to HubSpot research, 40% of salespeople say prospecting is the most difficult part of their job. Buyer intent data eliminates prospecting (such as connecting on LinkedIn, getting past the gatekeeper, and sourcing emails), which results in more sales for your company. The most effective buyer intent software solutions can provide not only company-level intent information but also contact information for key decision-makers (all whilst complying with GDPR rules). This means your sales team can get right to the point and use the most up-to-date business intelligence to engage in more conversations with the right prospects. B2B intent data keeps your sales team on top of their game by allowing them to analyze and comprehend prospects on a more granular level.
Cloudera Generated over 30 Significant Business Deals Using Intent Data
Cloudera, an enterprise management company, harnessed intent data from Bombora and Just Global to run a hyper-targeted account-based marketing strategy across its sales, advertising, and marketing teams. As a result, it generated over thirty significant business deals.
Conclusion
B2B buyer intent data can help you boost sales by accurately identifying target accounts that show buyer intent. Using buyer intent tools that give clean intent data can help your sales team generate revenue and scale your business.
FAQ
How does intent data help with sales?
With the help of intent data, your sales team can target and qualify leads swiftly and accurately as it provides all the crucial background information on the leads. Accurate targeting translates to more conversions and sales.
Where does the intent data come from?
Intent data is usually provided by third-party data providers through buyer intent data tools. These tools collect intent data from data-sharing points like B2B websites, media publishers, and other relevant sources.
How is intent data beneficial for improving an account-based marketing strategy?
With the help of intent data, you can personalize your website, focus on your inbound leads with respect to their engagement with your content, nurture leads with email marketing, and identify prospective customers who haven’t engaged with you yet. These factors can enhance your ABM strategy.
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