Buyer Intent Data
Article | October 7, 2022
Getting the attention of the target audience at the right time is the aim of every B2B marketing strategy. Most consumers research products and services before making a purchasing decision. B2B companies are no different. This means potential accounts are always on the lookout for a solution to a problem they are facing in their business. These are prospects that will convert into approachable leads and eventually customers if you offer them just what they are looking for, just when they are looking for it.
To find these lucrative prospects, marketers like you need to harness B2B buyer intent data. B2B intent data gives you deep insights into your marketing ICP’s behaviour, pain points, and requirements. With this important data, you can give your sales team promising leads they can follow up on.
In an interview with Media 7, Marc Laplante, CEO and Co-founder of Intentsify emphasized the importance of intent data.
“In B2B marketing and sales, intent data is typically understood as a tool to identify or prioritize which accounts we should target for advertising, lead generation, and sales follow-up. These are undoubtedly powerful use cases. But they represent only part of the intent data’s value. You should also use intent data to convert those accounts down the funnel into customers and revenue. Intent data, if granular enough, will highlight your target accounts’ problems, interests, research into competitors, geographic location, and buying stage.”
Let us take a look at what buyer intent data can do to bring you the sales numbers you want and how it can enhance your B2B account-based marketing strategy.
Buyer Intent Data Brings You Ready-to-buy Customers
Every user has a unique online behaviour, which can be distinguished using behavioral signals that uncovers the topic, product, or service the person needs. This information gives insight into the perceived intent of your marketing ICP. As a marketer, this information will help you plan effective advertising campaigns. The sales team can use this data to design the right pitch tracks, demos, and collateral to convert members from your targeted buying group. Additionally, this data can also help your customer success teams identify existing accounts that showcase a churn risk or an upsell opportunity. It’s a win-win for three teams at once.
B2B intent data uses website data, off-site activity, CRMs, social media data, and content consumption data from online content like infographics, blogs, product comparisons and reviews, discussion boards, case studies, and news to pinpoint buyer insights.
Intent Data Improves the B2B Buyer Journey
The B2B buyer journey is a combination of accounts navigating through early stage (awareness content to identify the problem), middle stage (exploring solutions), late stage (comparing vendors that offer solutions) and finally the last stage (purchase/upsell/churn). Between exploring solutions and comparing vendors, lie hidden opportunities that haven’t reached you. Intent data can bridge this gap for you.
Intent data providers give you data that is tailored to keywords that are relevant to your business and use case. This data targets buying locations at the website level and aggregates signals across a corporate family. Deep learning and natural language processing (NLP) are used to screen the content to achieve relevancy and to map billions of unique online engagement events every week. Analytics pinpoint the accounts that are showing any kind of buying activity and correspond to your targeted keywords. All this actionable data can shorten your buyer’s journey towards conversion.
Identifying early-stage prospects
At this stage, intent data signals surge around the keywords or topics that relate to the general challenges and pain points of your prospects because they are looking at the cause of their problem. They will try to find a elementary solution and get to know more about the products and services different brands are offering.
Identifying middle-stage prospects
The intent data signals at this stage will show a higher level of activity around topics or keywords related to a precise product or service category because the prospects have already identified the root of their problem and the options they have to address it.
Identifying prospects ready to purchase
At this stage, the signals are mostly focused on topics related to your brand, your specific product names and features, and your competitors’ product names. These prospects are ready to spend and should be approached at the earliest to achieve conversion.
Sources of Buyer Intent Data
Intent data providers offer two types of intent data:
1. Internal Intent Data (First-party Data)
This data is collected in-house through a marketing automation platform or through application logs if you have a web-based app. You can control what you collect and how you collect it and act on the data instantly. You can customize the purchase intent to your liking.
2. External Intent Data
External intent data is third-party intent data and is collected outside of your business. It is sourced via IP lookups, cookies or specific websites. However, third-party cookies will be phased out soon. So, B2B marketers need to rely on first-party cookies, data points, contextual advertising, and tracking technologies to get information on their prospects. Read more about cookie-less ABM here.
B2B Buyer Intent Behavioral Indicators
Actions that prospects carry out on your website or the internet are compared with the behavioral data of prospects that become SQLs (sales qualified leads). Here are some behavioral indicators that show purchase intent:
High intensity engagement with your brand’s social media posts
Exploring your product or pricing pages
Exploring product or service customer review page
Reading articles about your product’s features on your blog
The frequency of prospects’ website visits and the actions they take
Content consumption, like downloading e-books, templates, or any other resources
What Does Buyer Intent Data Do for You?
While implementing account-based marketing techniques, you should prioritize intent data above everything else. Capitalize on the potential of intent data by incorporating it into your sales and marketing workflows. Adjust your interactions to match your prospects’ demands and establish meaningful connections with them.
Primarily, intent data helps prioritize a list of target accounts that need to be pursued. Once the sales and marketing teams are aware of a user's location in the sales cycle, they may focus on moving them along in the purchasing process with customized content. Let us look into what intent data can do for your business in detail:
Efficient Prospecting
According to a survey by HubSpot, 75% of businesses ranked being able to close more deals as their top sales priority. With intent data, a prospect that is in the market to buy is easier to find because of predictive analytics. You already have your ICP in marketing in place and when prospects match this list and are in the market to buy, buying intent data efficiently puts your brand in front of these leads. Apart from this, buyer intent also helps segment your target list based on the intensity of the purchase intent. Targeting accounts with high intent through email marketing, content marketing, advertising and direct mail becomes easier.
Enhances Outbound Sales
The higher the quality of leads, the easier it becomes for your sales team to convert them. Buyer intent data lets your sales team know the exact position of a lead in the buying cycle. Instead of wasting time emailing unqualified leads, your team can approach these prospects which match your ICP in marketing and start a meaningful conversation. Intent data also increases the ROI of your B2B content syndication efforts.
Superior Lead Scoring
Your marketing team can predict prospects’ purchase intent based on what they are researching. They can do lead scoring with precision and supplement your sales team’s efforts. They don’t have to rely on traditional lead scoring methods where they add points to a lead’s score when certain actions are performed. Intent data uncovers possible paths that your leads can take even when they are not on your website.
Personalized and Targeted ABM campaigns
Personalization is key for any B2B account-based marketing campaign to bring the results you expect. The most effective method to enhance your ABM strategy is to map out your buyer journey and sprinkle it with relevant content to influence leads. You can also use intent data to strategically personalize and rank your ABM demand generation campaigns, so that every touch point of your ABM campaign meets your prospects' expectations.
Relevant Content
Creating content that can catch the attention of your prospects while offering solutions and value is crucial to get the conversions you expect. Intent data will help you see the correlation between topics and the context of those topics with the solutions your prospects are looking for. If you are aware of the questions that your prospects have before they go to market, you can answer them through your content. Buying intent data offers you just that. Let intent data drive your content strategy to give your prospects just what they want.
Intent Marketing
Intent-based marketing is when you know just where to spend your time and budget. In intent marketing, the focus lies on analyzing the intent of your prospects and strategizing how to meet them. Spending less time trying to target and rank keywords with low or irrelevant intent can help you increase your ROI, make an ironclad content strategy and a streamlined lead generation process that results in conversion and revenue.
Assessing Buyer Intent
Understanding and calculating buyer intent is not an easy task. It depends on these three factors:
Recency
Buyer intent that reports how recently a prospect engaged with your content is valuable so that your sales team can approach leads who have visited your website.
Frequency
Frequency indicates the intensity of your prospects’ intent to buy a product or service to solve their problems. If they visit key pages that have information on pricing, case studies, customer stories, etc., your sales team can reach out to them immediately.
Engagement
When your sales and marketing teams score leads, one of the most important parameters on their scale is engagement. If a prospect is engaging with the content on your website, through a chatbot, or as a result of an email campaign, you know it’s a great time to reach out to them.
Apart from these factors, buyer intent data tools also use variables like firmographics, technographics, account size, and job titles for accurate buyer intent mapping so that you can reach out to your marketing ICP with a personalized message in your intent-based marketing strategy.
Metadata Sees 42% Dip in CPL with G2 Buyer Intent
Metadata, a demand generation platform that runs paid campaign experiments and self-optimizes them to generate revenue, invested in G2 buyer intent. Their cost per lead (CPL) dipped 42%, their click-to-open rate for ads increased 114%, and their average deal size for ads spiked by 18%.
Final Thoughts
Buyer intent data changes the way you interact with your prospects and leads. Harness buyer intent data tools to have an edge over your competitors and get more conversions.
FAQ
What are the essential elements of an intent data strategy?
Align your intent data strategy with your ABM strategy, get buy-in from the C-suite, begin with a small pilot, analyze performance metrics, and integrate your systems with intent data.
How are B2B marketers leveraging B2B buyer intent data to boost revenue?
B2B marketers use intent data to create effective content, identify buyer groups, improve lead qualification, boost team productivity, and increase customer retention to boost revenue.
How does intent data enhance your lead scoring process?
Predictive purchasing insights help you find prospects in the market so you can make a list of accounts that are close to making a purchase decision. This makes your lead scoring process easier and better.
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Account Based Data
Article | June 29, 2023
The disruption from 2020 has forced many companies across different industries and verticals to improve their digital potential, including technology adoption. Among the industries, account-based marketing practitioners had to adapt to change in 2020 – and fast because it created a host of challenges in B2B. Industries and businesses had to find the right technologies that allow growth, as companies now have to operate in the only digital world.
But, even in the time of uncertainty, Account-Based Marketing (ABM) has gained traction. This is good news for enterprise tech vendors. Gartner estimates that expenditure on technology will rebound in 2021, with the enterprise software market predicted to surge by 7.2%. This seems to be a year of growth, improvement, and success for those organizations deploying account-based marketing as part of their B2B strategy.
In addition, one of the global data leaders, Acxiom, has experienced rapid sales growth from its technologically blended ABM program. Before considering a fully technology-based ABM strategy for 2021, it is crucial to understand how technologies fuel ABM growth.
Technologies are Fueling ABM Growth
Well, it's easy to understand and see how and why the technology-fuelled revival of ABM is taking hold. Let's see where B2B marketers are gaining profits. They are :
Driving improved deals, higher close rates, and earning more revenue
Winning strategic accounts in their industries
Getting higher ROI
Reaping benefits from additional marketing strategies
The 2019 State of ABM study by SiriusDecisions validates this trend in ABM results in:
91% of the B2B companies realizing larger deals by adopting technology in ABM.
92% seeing a higher percentage of qualified opportunities in ABM accounts than in non-ABM accounts.
More B2B marketers are moving towards tech-enabled ABM programs, where it was 62% in 2020 compared to 40% in 2018.
ABM in the overall marketing budget of companies surging rapidly.
With the rise in internet usage, which accelerated digital marketing, it was challenging to understand individual behavior. Now, marketers are empowered with account-centric targeting, measurement, and personalization across all their digital channels. Because marketers dedicate more budget to their ABM programs by upgrading technology stacks. It plays a significant role in making ABM scalable.
So, explore the critical technology trends propelling ABM today and shaping its future for marketing purposes in this blog.
How much does your tech stack matter?
The most influential tech marketing programs invest more in data, insight, and analytics. And that's because you have no hope of successfully engaging with your target accounts.
Despite the rapid acceleration of digital transformation in 2020, few organizations already have a mature tech stack. 25-39% of them used it for content syndication, sales automation, evaluation as third-party data, and reporting software.
By this, you must have understood that investing in technologies or technology that is attributing results supporting your ABM efforts is essential. But this doesn't mean the more tech you have, the more successful you will be. It's more a case of having the proper fundamentals (tech-wise) in place that deliver value.
Likewise, other tech fundamentals like intent data fully functioning (and ABM-ready) CRM are perhaps the most important tech pieces to have in place. They are listed under the top planned investments for 2021.
Here are five tech trends for ABM that will make a tangible difference in your business.
Automation Reduces Risks
To execute account-based marketing, marketers need to introduce automation to engage accounts through a handful of channels. Marketers can engage all the named accounts of the sales team and their long tail of target accounts through automation. This allows the marketing team to create demand in the accounts they're pursuing and alleviate the risk of putting all sales requirements in one place. This is possible by continuous demand generation through different channels, probably the less expensive ones (and alerting accounts from time to time to decrease the risk of missing out).
This way, your business will witness a more consistent and coordinated engagement of accounts between sales and marketing. So, ABM automation is a crucial aspect in reducing risks.
AI Introduces Personalized Customer Understanding
Businesses are witnessing the transformational impact of AI throughout the process, particularly in marketing. While marketers can easily get started with ABM by targeting a list of accounts, AI puts more power enabling them to confidently and precisely identify the accounts to pursue.
With AI, marketers can get their ideal customer profile (ICP) at a granular level. Tech-savvy marketers are using AI to analyze their historical sales and implement new strategies to achieve more in the coming years. In other words, AI helps marketers to leverage more information significantly from both internal and external sources to draw more precise models for their ideal customers.
AI is also enhancing engagement. According to The State of Engagement, 72% of marketers are expected to prioritize personalized messages and content to engage with customers. Nearly 40% of marketers plan to leverage AI and machine learning to enhance content used throughout the customer journey. So, through AI, marketers can personalize communications in a one-to-one way. This way, they can predict the content that most likely to convert readers across multiple channels.
As marketers continue to realize the potential of AI, you will see more rules-based ABM activities that AI enhances. This way, your marketers can efficiently target the proper accounts, engage accounts across channels to get insights to optimize programs.
Advanced Analytics Provide Attribution
Is your ABM strategy working? One way to find out this is by measuring its impact on the business through advanced analytics. With automated attribution reporting, marketers can find more opportunities, a longer pipeline of accounts, and higher revenue generation in the ABM context.
But why? Here are three reasons:
Marketers need to show that their partnership with sales to the target audience is working efficiently.
Advanced analytics will allow you to compare the efforts and results of one account vs. another to optimize the ABM program.
Most marketers plan multiple or blended marketing strategies. So, marketers running an ABM or practicing a blend of it, such as inbound marketing, need to know which investments are working. Advanced analytics can help them to allocate a budget for strategies being used for their business.
Therefore, it is expected to witness more touchpoints and data brought into advanced analytics becoming increasingly easier for marketers to consume in the future.
Chatbots' Demand in ABM
As per Salesforce, 69% of U.S. consumers prefer using chatbots when engaging with brands as it yields a prompt response.
A chatbot on your website can answer customers' basic questions every time. AI-powered chatbots can be used for customer support, expanding contact strategy dramatically with a controlled message. These chatbots have become so lifelike that many customers don't even know the difference. And chatbots offer the added benefit of gathering, analyzing, and providing actionable data to improve the customer experience.
How Can Marketers Harness This Potential?
As per SiriusDecisions' survey, more marketers are doubling their budgets and moving their ABM journey effortlessly. So, irrespective of where you are on your journey, you also need to make sure you always move ahead.
When it's time to include technology, be sure to select an ABM platform that supports your marketing journey now and in the future, as well. This means it should support multiple channels and marketing strategies, giving the flexibility to adapt and discover what works best for your organization.
Conclusively, look for a platform that can serve as the hub of your ABM technology stack. The ablest place to start is from a platform that will give you the ABM essentials and connect a wide range of technologies to encourage you to grow over time. This way, you can shape your future in account-based marketing in the best possible ways.
Frequently Asked Questions
How does ABM work?
Identifying which accounts (companies) you can target is the first step after creating a buyer persona. The next step is to market them using campaigns to attract potential clients. And then, measure the activities of your account-based marketing campaigns. Metrics, such as clicks, impressions, and page views, are easily measured.
Why is account-based marketing important?
ABM helps to assemble marketing efforts through multi-channels and analyses key accounts' status to drive more revenue. It also maximizes the efficiency of your B2B marketing resources and aligns sales accordingly.
How is AI used in ABM?
AI solutions in ABM can help the marketing team to make firm data-based decisions faster than before. The usage of chatbots helps to answer many common questions about marketing efforts and benefits. Also, AI tools can be used to track intent data as well.
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Account Based Data
Article | August 19, 2022
For B2B marketers like you, wouldn’t it be great to know which buyers are ready to purchase and when? It would be, but this doesn’t generally happen. Marketing and sales teams across businesses spend their time trying to find the perfect prospects instead of focusing on selling to the accounts that actually want to buy.
What Goes into Prospecting?
Prospecting is an entire process that is not only time-consuming but might not lead to anything worthwhile. Common steps involved in prospecting include:
Finding accounts that fit your target account profile
Zeroing in on the point of contact to get in touch with the account
Creating messaging to influence prospect’s buying decision
Wait for the prospect to answer calls
It is no wonder that prospecting is the most difficult part of sales. According to research by Sales Insights Lab, 50% of the prospects you go after aren’t a good fit for your product. To add to the mix, sorting through incomplete forms, questionnaires, anonymous web visits, and event attendee lists is backbreaking work.
Predictive Analytics: Pipeline Growth and Revenue Covered
ABM relies heavily on high-quality data management and analysis. It is based on quality and, not quantity. It can succeed only if the prospect account’s data like management hierarchy, business practices, pain points, requirements, etc. is interpreted, analyzed and utilized properly. This is where predictive analytics comes in. A predictive analytics model looks at how different parts of an account relate to each other and ranks them. A large amount of data can be successfully interpreted this way. Data mining, statistics, and text analytics uncover different patterns and relationships to give insights into an account’s behavior and outcomes based on data.
A Predictive Analytics Model Boosts Your ABM Strategy
Here is how predictive analytics can boost your ABM strategy:
Prioritizing Accounts Based on Rating
Marketing representatives need to approach prospects at the right time to capture expected revenue. Predictive analytics gives real-time data, forecasts into when to approach a prospect to get the conversion. With deep data insights, predictive analytics optimizes ABM and the allocated marketing budget.
Personalized Messaging
Personalized messaging is possible only when the data at hand goes beyond account intelligence-based numbers. Predictive analytics goes a step ahead, forecasts buyer behavior and gives marketers a tool to create content that appeals to every individual in the prospect account’s buying group and leads to conversion.
Objective Scoring
As accounts near the end of the sales funnel, predictive analytics forecasts the best time for sales overview, so risks like data deletion are bypassed.
Getting Ready to Adopt Predictive Analytics
To adopt predictive analytics in your ABM strategy, you need to follow these steps:
Create an ABM-centric organization where content marketers apply ABM
Marketing and sales teams need to understand predictive insights and its implementation in ABM
Align your marketing and sales teams
Decision makers understand predictive insights and how they are used at the grass-root level
Wrapping It Up!
Focus your investments on an intent data set based on predictive analytics and AI learning to make the most of the high-quality data insights without worrying about underlying technologies.
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Article | April 16, 2020
Empathy is an emotion that many marketers invoke when they are developing their positioning and messaging for various campaigns. They consider questions such as: “If I put myself in the buyers’ shoes, what do I think they think or feel about this particular pain point?” “Do I understand the challenges they are facing?” “How can I help them overcome this issue and provide long-term value?” Over the last few years, many B2B marketers have leveraged account-based marketing (ABM) to address these questions with specific use cases and examples tailored to their target accounts, in order to boost engagement and drive high-value conversions.
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