Account Based Data
Article | June 29, 2023
Here’s a (somehow) well-kept secret about ABX: it can create immediate wins for your teams.
When you and your teams start laser-focusing on the right prospects and customers — at the right time — it doesn’t take long for the wins to start piling up.
Why?
A winning ABX strategy will leverage an AI-powered customer data platform (CDP) that has an existing database of critical information such as:
What your ideal customer profile (ICP) looks like
Accounts you might not know about that are in-market and ready-to-buy
The websites, keywords, and topics your buyers research most
The signals your buyers give off when they’re ready to buy
When you leverage this historical data, it’s like flipping on a spotlight on your most important accounts and everything they’re doing.
Let’s look at why a CDP is so important for an ABX strategy and how you can switch your thinking from, “When will I start seeing ROI?” to “How will I capitalize on all of these opportunities?”
How CDPs Bolster Your ABX Strategy
Pursuing an ABX strategy means fine-tuning your revenue activities (marketing, sales, operations) to target very specific accounts.
The critical data you need about those accounts comes from your CDP, which houses all of the interactions you have with your prospects and customers.
That information includes:
Web pages they visit
Webinars they attend
Content they download
Calls they have with your sales team
The CDP ingests all of that data and starts to learn what your typical buyer looks like, the patterns they follow, and what signals they give off when they’re ready to buy.
Over time, and with enough data from your interactions, this information becomes very powerful and enables your teams to start honing their strategies. All of your revenue activities become more efficient because you’re reaching the right buyer at the right time.
There’s a problem with traditional standalone CDPs, however. They can’t look backwards.
They can only begin collecting data once implemented, and therefore take some time to start uncovering patterns and delivering results.
But what if you could unlock the CDP-version of a flying DeLorean that empowers you travel into the past and unlock those missing puzzle pieces — without waiting for your CDP to ingest enough data?
Win Fast with a CDP Full of Critical Data
The key to unlocking fast wins for your ABX strategy is to utilize a CDP with historical first-party and third-party data.
Your buyers have searched keywords related to your offerings, attended industry events, and read third-party review sites long before you implement a stand-alone CDP. Why should you have to wait for the platform to catch up and uncover those insights that are hiding in plain sight?
6sense’s embedded CDP grants you instant access to all of the historical data that our AI-powered platform has collected for years.
Previously anonymous accounts that have been researching topics that match your offerings
A detailed ICP based on real, historical data
Insights into which of your prospects are actually in-market and ready-to-buy
Clear evidence on which accounts and buyers should be prioritized
We call uncovering this information lighting up the Dark Funnel™. When you shine a light on your Dark Funnel™ your teams can immediately start reaping the benefits. It won’t take months or even weeks to get your first wins — within days you can see a positive impact on your pipeline.
Your sales team will get leaner and meaner. No need to spend hours trawling through LinkedIn to find the one uncovered gem of a prospect. As soon as you leverage an embedded CDP loaded with historical data, you’ll discover exactly who your next target should be. Your inside sales team can focus on personalizing outreach, not figuring out who to talk to.
Your marketing team will begin improving their engagement numbers without increasing their spend. When a Director of Sales at “Ready-to-Buy Corporation” has been performing some under-the-radar research, the marketing team will receive an alert and can start targeting that person with ads that address their specific pain points.
Software development company PTC is a good example. It has used 6sense to uncover more than 1,500 net new high-intent accounts that have generated $18 million in pipeline.
“With 6sense, our team has driven outbound success by being empowered, motivated, and eager to strategically prospect to the right targets with relevant messaging,” says Brenda Souto, High Velocity Sales Manager at PTC.
Conclusion
Traditional standalone CDPs help you capture the interactions you have with your prospects and customers. All of this data is very useful to build a focused and efficient ABX strategy.
But, a standalone CDP lacks historical data and trends — meaning it can take longer to see wins and ROI.
An embedded CDP with a treasure trove of previous interactions, buying signals, and trend data can instantly prioritize your target accounts. Within days your teams will know much more about your buyers and how to target them with the right message at the right time.
Read More
Buyer Intent Data
Article | October 7, 2022
Intent data is a modern sales intelligence tool that helps you capture a prospect’s buying signals. By using an effective intent data strategy, you can be the first to reach out to a prospect and aim for a conversion.
In an interview with Media 7, Gil Allouche, CEO of Metadata.io, talked about the importance of data in converting leads.
“With access to valuable data, marketers are focused on leads that are more likely to become buyers. They can also work on targeting their messaging towards these potential buyers.”
According to SalesIntel, 97% of B2B marketers agree that intent data will give brands a competitive edge.
Intent data collects signals that come from consumption of content like:
Blogs and infographics
Product comparisons
Product reviews
Message boards
Case studies
News
However, it can be challenging to incorporate intent data into marketing and sales initiatives. Regardless of whether you're working with first-party, second-party, or third-party intent data, it can have multiple applications across a range of systems and workflows and may overwhelm your team.
An excellent B2B intent data approach can ease the process and use of intent data. Motivate your team to harness the power of intent data to drive business growth.
5 Essential Elements of an Intent Data Strategy
52% of B2B tech companies implement an intent data strategy in their account-based marketing program. (Source: SalesIntel)
This statistic shows that more and more B2B marketers are seeking the help of intent data to make their account targeting more effective.
Let us look at what essential steps you should take while integrating B2B intent data into your account-based marketing program.
Alignment: Your Intent Data Strategy Should Line up with Your ABM Strategy
To get the results you expect, synchronize it with your ABM marketing strategy. You can use intent data in different ways to optimize your account-based marketing. Here are two of the many ways it can help you with target account prioritization:
Bind the intent data to your ICP criteria. Which ones show buyer intent out of the accounts that match your ICP? This information can help your marketing team push these accounts further into the funnel. Your sales reps will have meaningful communication with these target accounts. Overall, the chances of conversion will go up because you know the intent of your ICP-based target accounts.
There may be net new accounts showing buyer intent but they fall outside your pre-defined ICP. Segment these accounts and increase your sales pipeline. If your company doesn't have a lot of data, this use case can help you change or define your ICP criteria and help your sales pipeline.
Buy-In: Bring Your Teams Together
For all the teams to come together and work towards the same business goals and objectives, you need to get buy-in from the C-suite of your company. Only your leadership can drive your sales and teams to break silos and work with the mindset of establishing processes and using tactics that can create harmony between them. Ensure that the teams understand what you want to achieve with intent data for ABM. Share it with them and align on a follow-up strategy, metrics, and key accounts. Set up training programs so that your teams understand the newness and precision that intent data will bring to account-based marketing.
Testing: Begin with a Small Pilot
Apply your strategy to a small set of accounts. Involve limited sales team members within your company, probably a team you are closely associated with, to oversee the use of intent data in B2B marketing through your ABM program. This can help you understand where the strategy needs to be tweaked and what approach you need to use while using intent data. Pilot testing is an effective way of streamlining and recording your processes. It can be the foundation for implementing all your intent data initiatives for other sales teams over time. Get everyone on board to analyze the results of your pilot test and then decide on the best way to integrate intent data into your account-based marketing program.
Analysis: Examine the Performance Metrics
To gauge the impact of intent data on your account-based marketing program, you must collect conversion rates before the pilot test. This way, you can compare the before and after rates and examine how intent data helps ABM. Marketing and sales teams can look at what works and eliminate what doesn’t. This learning curve is crucial before you use intent data companywide.
Integration: Collate Your Systems with Intent Data
You can amplify the impact of your data strategy by integrating it with your systems like CRM, marketing automation software, and ABM platform. Through intent-based marketing, you can increase the performance and visibility of your brand throughout the sales funnel. Integration can also spearhead landing deals and expand your account-based strategy across different domains.
Implementing an intent data strategy step-by-step can lead to success and benefit all teams across all departments, increase customer satisfaction, and enable you to scale your business.
Kazoo Saw a 2-3x Increase in Reply Rates after Using Bombora’s Company Surge
Kazoo, an employee experience platform, integrated data from Bombora’s Company Surge buyer intent data tool with its 6sense account engagement platform data. It saw a 2-3x increase in reply rates.
Conclusion
When combined with additional data, B2B intent data can help you develop a scoring model that considers fit and engagement, making it more effective. If you use intent data in B2B marketing correctly, it can be a great way to improve your ABM strategy.
FAQ
How can an intent data strategy enhance ABM?
It can help in ABM marketing by indicating early buyer interest, facilitating content personalization, and helping with creating targeted account lists and lead scoring.
How can sales and marketing teams benefit from intent data?
Sales and marketing teams can use intent data for ABM to create effective go-to-market strategies, accurate target account segmentation, and personalized outreach.
What does intent data do to improve lead scoring?
Intent data provides predictive purchase insights. With the help of this information, you can approach the accounts close to making purchase decisions.
Read More
Buyer Intent Data
Article | June 20, 2023
Selling more and selling faster is the goal that drives B2B marketers. Strategically implementing account-based marketing (ABM) to target individuals with hyper-personalized messaging across different channels is what helps them achieve it. But what is Buying Group Marketing (BGM), and why do B2B marketers need to keep up with it?
Buying-Group Marketing (BGM): Taking ABM up a notch by focusing on an entire buyer group instead of the account as a whole, it’s called buying-group marketing (BGM).
According to a recent Forrester survey, 94% of B2B organizations sell to groups of three or more. They do this instead of spending time identifying a set of ICPs and making a purchase decision.
Let us take a look at what BGM is all about.
Buying Group Marketing: The Next Evolution of ABM
To implement BGM, you first need to understand what buying groups are. A purchasing group is a group of people within a target account who have a say in the purchasing decision. This makes them crucial in B2B targeting. Once B2B marketers learn about their target personas, they can come up with an effective marketing plan and approach them strategically.
In large enterprises, purchase decisions are never restricted to one individual. The larger the purchase decision, the larger the size of the buying groups. When a decision involves new technologies, services, or products, an individual struggle to make a purchase decision swiftly.
According to Gartner, more than 75% of customers describe these purchases as very complex or difficult. With the help of BGM, the decision-making process can be streamlined and shared among multiple people within an organization.
Driving Success with BGM
To better execute BGM, organizations need to change their mindsets, processes and technologies and work to understand how buying groups work together. Until demand management matches the ways buyers are making purchasing decisions, marketing and sales alignment will not be possible.
Organizations need to first understand how buying groups work together, then align their mindsets, technologies, and processes to efficiently execute BGM. When the marketing and sales teams align their demand management goals with the decision-making groups, only then can they drive success in their campaigns.
Interest from more than one person from a single company can lead to more success and influence in the buying phase. B2B marketers need to move beyond the idea that only the first person to respond from a company should be entertained as a lead if a second person from the same company shows interest in their product or services. They need to understand that no matter how tempting account-based advertising may seem, it doesn’t guarantee success. They should focus on engaging the actual decision-makers of their target accounts.
When customer personas are mapped according to their buying roles within a group, organizations will have the much-needed intelligence required to make personalized sales. The success of BGM demands the delivery of content that resonates with an individual as per their role in a buying group. B2B marketers must meet them where they are with the content that they need.
Organizations can have crucial intelligence on their customers after mapping their personas and considering their roles in the buyer groups. Delivering content that the target individual can relate to is a prerequisite of BGM.
BGM may not be new as a concept, but B2B marketers see improvements in their performance by harnessing it as their principal strategy. Adapting to BGM will give them the edge that they seek, while the rest try to keep up with the changing trends of the ABM industry.
________________________________________
Read More
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.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What Are the Challenges in the AI-based ABM Strategy?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Managing, protecting, and enriching data obtained from CRM and other customer support systems can be challenging."
}
},{
"@type": "Question",
"name": "How Can AI Help in Strengthening Your ABM Strategy?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AI helps with personalizing content, automation, ABM optimization, and providing predictive insights for lead conversion."
}
},{
"@type": "Question",
"name": "What Does a Strong AI-based ABM Strategy Do for Your Business?",
"acceptedAnswer": {
"@type": "Answer",
"text": "A strong AI-based ABM strategy helps with account profiling, analytics, reporting and hyper-individualized content, which leads to increased lead conversion."
}
}]
}
Read More