Account Based Data
Article | August 19, 2022
Harnessing the power of intent data to create effective account-based marketing strategies can help sales and marketing teams effectively achieve their goals. According to HubSpot, Google processes approximately 63,000 search queries every second. Of these queries, a significant few may be associated with your business. These web searches count as behavior, and they make up intent data. Intent data is of two types: internal (gathered from websites, automation systems, and other software like CRM) and external buyer intent data (review sites, competitor’s websites, forums).
Intent data is captured by buyer intent data tools. It provides insights into a customer’s behavior, interests, pain points, needs, and expectations. These insights can be leveraged to pinpoint users closest to making a purchase decision. You can then work to convert them into customers swiftly.
The Power of Intent Data
Intent data is the number one priority for account-based marketing strategies. Companies harness the power of intent data by integrating it into the workflows of their sales and marketing teams. With the help of intent data, they can tailor their interactions to the needs of their users and create valuable connections with them.
Primarily, intent data helps prioritize a list of target accounts that should be pursued for conversion. Furthermore, some companies also create specialized groups and targeted lists to hyper-personalize their content offerings to influence purchase decisions. Once the sales and marketing teams are aware of the position of a user in the sales cycle, they can focus on pushing them forward in the buying process with the help of personalized content.
Charles Crnoevich, Vice President of Partnerships & Business Development at Bombora defines intent data as:
“Intent data helps B2B teams better their prospect and customer experience at all stages of the buyer journey. From top-funnel ad messaging that meets prospective buyers in their initial research phase, to bottom-funnel sales messaging that includes context around specific product needs, intent insights give every touchpoint the ability to be backed by data. It eliminates room for human guessing and the risk of being irrelevant to your audience.”
Let us look at how intent data is transforming businesses and the importance of an intent data strategy to scale your business.
Target Account Selection
Relying only on basic firmographic data is a thing of the past when it comes to selecting a target account. Here are five steps that you can follow to create a target account selection based on the intent data you gather:
Defining Your ICP
Revenue should not be the only factor you consider while defining your ICP. Look at the cost to convert, lifetime value, and churn rate. Observe what your best customers have in common. Is it their company size, their domain, the challenges they face, or their growth rate? Once you know these details, consider finding a solution for their problems. You may have more than one ICP if you have multiple products, features, and services on offer.
Understanding the Intent
Based on the key signals like downloads, sign-ups, booked demos, or reading certain pages on your websites that buyer intent data tools record, you can understand the intent of the user. Once the intent is clear, you can gather your data with the help of buyer intent tools.
Gathering Relevant Data
Lead generation platforms like Leedfeeder, email marketing platforms like MailChimp, CRM platforms like HubSpot CRM, and marketing automation platforms like WebEngage are your sources of intent data. How you gather data depends on the platforms you are using. Most lead generation platforms will allow you to download the data in an Excel sheet or a CSV file. What is great about this kind of data is that you can always combine the spreadsheets from all these sources and clean up the inconsistencies.
Segmenting the Target List
Segmenting your target list is very important to understand which accounts are high intent. The other categories can be of medium or low intent. Filter out the low intent accounts first. These accounts aren’t quite ready to make any purchase decisions. Add them to your remarketing list or your account development team can nurture them. The medium and high-intent accounts can stay on your list so your sales and marketing can focus on them.
Targeting Key Accounts
Once your teams have the list of key accounts they need to target, they can create an effective strategy to approach these accounts and push them towards conversion. They can accelerate their conversion efforts with the help of email marketing, content marketing, advertising, and direct mail. Finding the right leads at the right time can help a great deal with targeting. With the help of B2B intent data, everything functions smoothly once you find the right key accounts.
Message Selection
The best part about B2B intent data is that it doesn’t miss any important information about the account, so your messaging strategy is based on facts and not speculation. Quality intent data will provide the prospect’s research history, going as far as including searched products and companies. The otherwise invisible, actionable prospect trends can thus come to light, and you can create messaging that can help you beat your competition.
According to a Gartner research study, more than 70 percent of B2B marketers will utilize third-party intent data to target their prospects or initiate engagement with buyer groups in selected accounts by the end of 2022.
Message optimization may not be at the top of the chart for the most impactful uses of intent data, but it does play an important role in helping content marketers be successful. Buyer intent data enables them to better align their sales pitches to accommodate the buyers’ interests and needs that they discover using the third-party site buyer signals.
Decreasing Churn Rate
By monitoring the intent data signals of clients who search your competitor’s website to find alternatives to the products or services you provide, you can know which clients need more attention and support. This information indicates that these clients do not find your product or services up to the mark or are not fulfilling their needs and expectations. You can set up triggers for such clients and ask for feedback from them to find out the shortcomings of your product or service. You can use the feedback as a guide for future product development and reduce your churn rate by retaining clients. Another interesting approach would be to provide your team access to reliable and clean intent data so they can make decisions to enhance the sales strategy.
Image Source: Orbitmedia
Sales Outreach
According to Gartner research, prospects spend about 50% of their time trying to find information from third-party sources. Usually, the sales team has to wait for a buyer to either fill out a form or perform a trigger action to be classified as a prospect. However, with buyer intent signals, prospect movement is revealed. The prospect’s intent indicators help the sales team decide when to outreach.
Enhancing Content Personalization
Use third and first-party data to create informed blog content, email marketing campaigns, and other content marketing initiatives to appeal to your prospects. By leveraging the intent data at hand, you can offer what the clients want in an appealing way. You can target their entire buyer persona by creating a more effective content strategy. Your content marketing team can know the topics they need to cover in their marketing efforts. It can also improve the existing content to make it more impactful.
Discovering New Leads
Whenever a customer searches for products or services that you offer or topics relevant to them, third-party intent data aggregators can track them and notify you about this customer. If this customer hasn’t already interacted with your business, then these are new leads your teams can pursue with appropriate messaging and tailored content.
Enabling ABM Strategy
In ABM marketing, knowing which accounts to target is the most crucial step. With the help of data insights on specific accounts, you can build a focused ABM strategy. You can analyse their research data and interpret their buying intent, and based on that, you can add them to your target list. Measure and test the content they interact with and what makes them move further along the sales funnel. You can find the content that isn’t creating any impact and replace it. Adapting an ABM strategy in real time becomes easy, so you are more customer-centric than ever before.
Improving Marketing Automation
Intent data tells you exactly where your prospects are in the sales funnel. Use this information to trigger certain actions to nurture these prospects. For example, once you find that a certain prospect has stopped consuming the awareness-stage content on your website and starts devoting time to consideration or conversion-stage content, you can trigger a change in the kind of marketing content you send out.
Targeting Keywords Effectively
Search engine marketers find long-tail keywords important because they are descriptive, relevant, and do a great job of implying the buyer’s intent. However, it is challenging for advertisers to target long-tail keywords because they do not have enough search volume. This affects ad visibility as compared to when high volume keywords are used. To get the same results with the long tail keywords, companies need to optimize many long tail keywords.
Automated bidding technologies can easily carry out this task. By using your third-party intent data, you can know the kind of long-tail keywords your audience is searching for. Use your website analytics to discover fresh information on keywords and then use it to target keywords or create relevant ads.
You can also automate ad personalization with the help of intent data aggregators that identify qualified leads based on information like domain and device advertisement. You can then place the right ads on your audience’s devices.
Now that we know how intent data helps with account-based marketing, intent based marketing, and other marketing endeavors, let us look at the key elements of an intent data strategy and how to make the most of it.
8 Key Elements of an Effective Intent Data Strategy
We have already established how important intent data is in B2B marketing in improving targeting, lead generation, lead nurturing, and overall customer experience. When it comes to creating an effective intent data strategy, you should follow these guidelines:
Align ABM Initiatives & Intent Data Strategy
In an ABM strategy, you can deploy intent data for account prioritization in the following ways:
Fuse intent data with your defined ICP
Identify your target accounts and check which of these are showing buyer intent. Your sales team can have relevant information to talk to these accounts and convince them to make a purchase.
Segment accounts showing intent but don’t align with your ICP
You can increase your sales pipeline by segmenting the new accounts by showing buyer intent but not aligning them with your ICP. This is especially useful for companies with a smaller database.
Define Your Goals and Strategies
Break silos and work towards the same goals. Get a buy-in from the higher-ups in the company and let the teams know what to achieve with the intent data. Share the intent data strategy with every team member, align the goals and metrics, and train those who need to know more about intent data.
Integrate the Data from Different Systems
Increase the efficiency of your intent data strategy by integrating systems like CRM to improve the visibility and performance of the funnel. A step-by-step approach goes a long way when it comes to an intent data strategy.
Start with a Small Pilot
Trial and tweaking your intent data strategy can be a good idea. Create an intent data framework for a small set of accounts and share it with a limited group of sales team members at your company. Streamline your processes through this pilot test. Once you know the intricacies of what works and what doesn’t, you can launch intent data strategies with other sales teams.
Collect Performance Metrics
Ensure you collect your conversion rate before rolling out a pilot program for testing. This way, you can compare the before and after. Monitor the performance metrics throughout the program. Your marketing and sales teams can go over the metrics together to see what tweaks are needed to the intent data strategy before multiple teams adopt one.
Gather Buyer Journey Intelligence
Identify trends through specific search terms, topics, asset types, features or product interests so you can create topic clusters for specific content that can be distributed throughout the funnel. You can do this by gathering first-party data from your marketing automation software, CRM, and other customer-data platforms. You can also interview customers to get any other useful information to understand a buyer’s journey better. You can also engage intent data providers to find out more about historical buyer journey analysis.
Monitor Important Topics
Select the right topics to monitor. The intent data will only work if you know which specific topic or clusters of topics will determine the status of a prospect. Choose the topics that are critical for success. Remember, the higher the use cases in a fuller, the lower the number of topics you should monitor. As you move down the funnel, be more specific about the topics you want to monitor.
Explore Potential Integrations
By integrating your intent data with the right platform, you can amplify the results of your intent data strategy. Since intent data supports the complete customer lifecycle and increases the value of your other martech software or sales-tech investments, it is important to explore integrations that may enhance your sales and marketing strategy. When used wisely, intent data can transform your business, one department at a time. It can also ensure customers’ satisfaction and help you scale your business faster than you ever imagined.
Ultima Generated ROI in Eight Weeks Through Cognism
Ultima, a UK-based infotech company led an example by generating ROI in just eight weeks using intent data provided by Cognism. "Our sales cycle is typically 6-8 months long. At Cognism, we saw ROI in 8 weeks from intent data and direct dials. One deal pays for a year’s Cognism subscription." - George Mckenna, Head of Cloud Sales at Ultima.
Conclusion
Creating an effective intent data strategy can be a game-changing factor for your business. With its implementation, not only will you be able to connect with your customers on a deeper level, but you will also be able to get higher win rates than your competitors that practice manual prospecting.
FAQ
How can you collect intent data?
You can collect intent data through signals like website clicks, social media ad clicks, length of time spent on a website, email newsletter subscription behavior, or frequent website visits.
What are the benefits of intent data in B2B marketing?
With the help of a good intent data strategy, you can find new potential leads, focus on companies already a part of your sales funnel, promote yourself to your customers early on in their decision-making process, prioritize your leads, and personalize your outreach. These benefits can drive your sales growth.
How does intent data help in ABM marketing?
ABM marketing is also intent-based marketing. Intent data for ABM is an asset as it helps with account prioritization (lowering the scale of the program to focus better on key accounts) and account activation through personalized and specific marketing messaging.
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Buyer Intent Data
Article | September 11, 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 Analytics
Article | August 3, 2022
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 | September 30, 2022
If you’ve been keeping up with new terms in B2B marketing, by now you’ve likely heard of account-based marketing (ABM). The term itself has been around for years, but with recent advances in technology, this tactic is now being adopted at a much larger scale than ever before. Still, surprisingly, I find that many B2B marketers are in the dark when it comes to ABM. So here’s a quick look into the future of B2B enterprise marketing, and why I think account-based marketing will be one of the biggest revenue drivers for B2B businesses in the very near future.
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