Intent Based Marketing vs Account Based Marketing —Which One?

In the dynamic world of digital marketing, precision is key. Businesses are constantly seeking better ways to connect with their ideal customers and deliver messages that resonate deeply with their audience’s needs. This is where intent-based marketing (IBM) and account-based marketing (ABM) shine. But without real-world case studies, how can practitioners apply these concepts effectively? Let’s dive into understanding these strategies and explore practical tips that can be employed right away.


Understanding Intent-Based Marketing

Intent-based marketing is a data-driven approach that focuses on identifying and responding to the specific intent signals potential customers emit as they navigate the web. It’s about interpreting behavioral data to understand where a prospect is in the buyer’s journey and tailoring marketing efforts to meet those intent signals head-on.

Key Components:

Utilizing SEO and SEM to capture user search intent

Search Engine Optimization (SEO) and Search Engine Marketing (SEM) are pivotal in capturing the intent of users actively searching for solutions online.

SEO

  • Keyword Research: Conduct thorough research to find keywords that align with user queries related to your products and services.
  • Content Optimization: Develop content that is optimized for both users and search engines, incorporating intent-based keywords naturally.
  • On-page Optimization: Ensure that all technical aspects of your site (meta tags, URL structure, internal links) align with SEO best practices to improve organic visibility.

SEM

  • Paid Search Ads: Use paid adverts to appear above organic results for targeted keywords. These should be tailored to the search intent, whether informational, navigational, or transactional.
  • Ad Copy Customization: Create compelling ad copy that addresses the user’s intent, encouraging them to click-through by offering clear, immediate solutions.

Implementing Sophisticated Analytics to Track User Behavior Across Platforms

Sophisticated data analytics play a crucial role in understanding and reacting to user behavior.

  • Cross-Platform Tracking: Utilize tools like Google Analytics, Adobe Analytics, or custom solutions to track user interactions across various platforms including websites, apps, and social media.
  • Behavioral Analysis: Analyze data to identify patterns and trends. Look for signals such as pages visited, time spent on site, and interactions with content to gauge user interest and intent.
  • Conversion Path Analysis: Understand the paths that lead to conversions. Identify common navigational patterns and optimize these paths to shorten the sales cycle and improve user experiences.

Personalizing Content and Messaging to Align With the Prospect’s Stage in the Buying Journey

Personalization is key to engaging prospects effectively by delivering relevant messages and content at each stage of their journey.

  • Segmentation: Divide your audience into segments based on demographic, psychographic, and behavioral data. Tailor your messaging to each segment.
  • Dynamic Content: Use dynamic content that adapts based on the user’s behavior, stage of the buyer’s journey, or specific needs. Tools like HubSpot and Marketo can automate content personalization.
  • Retargeting Campaigns: Implement retargeting strategies to re-engage users who have shown interest but haven’t yet converted. Use targeted ads to provide additional information, discounts, or reminders to complete a purchase.

Implementation Best Practices

  • Testing and Optimization: Regularly test different approaches in SEO, SEM, analytics, and personalization to find the most effective strategies. Use A/B testing and continue to refine methods based on performance.
  • Feedback Loops: Encourage feedback from users to understand their experience directly and adjust your strategies accordingly.
  • Integration: Ensure your marketing technology stack is seamlessly integrated to consolidate data sources, enabling a unified view of user behavior.

What about Account-Based Marketing?

Conversely, account-based marketing is a strategic approach that concentrates marketing resources on a set of target accounts within a market. It employs personalized campaigns designed to engage each account, basing the marketing message on the specific attributes and needs of the account.

Core Strategies of Account-Based Marketing

ABM shifts the focus from broad-based marketing to a precision-targeted approach that engages specific high-value accounts as markets-of-one. Here are the detailed strategies to execute ABM effectively:

Identifying and Segmenting High-Value Accounts

  • Data-Driven Account Selection: Utilize a combination of firmographic, technographic, and intent data to identify accounts with the highest potential value and intent to purchase. Tools like LinkedIn Sales Navigator and Clearbit can provide deep insights.
  • Predictive Analytics: Implement predictive analytics to score accounts based on their likelihood to convert and their potential lifetime value. This helps in prioritizing accounts that are most likely to drive revenue.
  • Segmentation: Group these high-value accounts into meaningful segments based on common characteristics, needs, or buying stages. This segmentation can be based on industry vertical, company size, or specific business challenges.

Creating Highly Customized Marketing Campaigns

  • Personalized Messaging: Develop tailored messaging that speaks directly to the unique challenges and needs of each account segment. This involves creating custom value propositions that resonate on an industry, company, or even persona level.
  • Content Customization: Craft or adjust content to reflect the specific interests and pain points of the targeted accounts. This could mean creating industry-specific whitepapers, case studies demonstrating value for similar clients, or personalized video messages.
  • Omnichannel Engagement: Deploy highly targeted campaigns across multiple channels preferred by the target accounts. Whether through direct email, social media, targeted ads, or personalized web experiences, the goal is to engage decision-makers across all touchpoints.

Coordinating Sales and Marketing Efforts to Nurture Key Accounts

  • Aligned Objectives: Ensure that sales and marketing teams have aligned objectives, KPIs, and a shared definition of what success looks like for ABM efforts. Regular alignment meetings can help to ensure both teams are on the same page.
  • Joint Account Planning: Sales and marketing should work together in developing account-specific engagement plans. This includes selecting the right contacts within each account, crafting personalized outreach strategies, and defining the roles of each team in engaging with the account.
  • Lead Nurturing Integration: Use marketing automation platforms to nurture leads with tailored content, while providing sales with insights and alerts based on account activity. This ensures that sales can act at the right time with the right context.
  • Continuous Learning and Feedback Loops: Establish a system for continuous feedback between sales and marketing on what is working and what isn’t. Use this feedback to refine strategies, messaging, and tactics in a continuous cycle of improvement.

Intent-Based vs. Account-Based: The Strategic Divide

While IBM focuses on individual user behavior and ABM on specific business accounts, both strategies require a deep understanding of the target audience to succeed. IBM often drives broader attraction efforts, while ABM requires a narrow, more focused approach.

Considerations for Each Approach:

  • Intent data can be leveraged in ABM to identify the most engaged accounts.
  • ABM requires alignment between marketing and sales to personalize and convert targeted engagement into sales.

Synergy Between Intent and Account-Based Strategies

When aligned properly, IBM and ABM can complement each other, blending the precision of intent signals with the focus of account-centric marketing. Lets go into how both of these strategies can meld together!

Prioritization of Accounts Using Intent Data

Developing a Scoring Model:

  • Create a scoring model that assigns value to different intent signals such as website visits, content downloads, and webinar attendance to reflect the level of account engagement and interest.
  • Combine intent data with firmographic and technographic information to construct a comprehensive profile of each account, which can help in ranking and prioritizing them effectively.

Operational Integration:

  • Ensure that your marketing automation platform is set up to ingest intent data and reflect it within the account profiles. Automation rules can then trigger specific actions based on the account’s score.
  • Sales teams should have access to a dashboard within the CRM that displays real-time intent data as well as a prioritized list of accounts, enabling them to focus their efforts on the most promising leads.

Combining ABM Principles with Intent Data

Dynamic Content Personalization:

  • Create dynamic content assets that can be easily modified or repurposed based on the expressed interests of a target account, as indicated by their intent data.
  • Align content strategy with the specific buying journey stages of an account, offering educational content for early-stage buyers and more solution-oriented content for those further along.

Strategic Campaign Execution:

  • Use intent data to inform the timing, channels, and messaging of ABM campaigns. Engage target accounts with personalized campaigns when they are most likely to be receptive, based on their activities.
  • Develop multi-channel campaigns that deliver consistent messaging across email, social media, display advertising, and direct outreach to cover all touchpoints where the target account is active.

What to Watch for in IBM +ABM Integration

Ensuring Data Quality and System Integration

Data Synchronization:

  • Establish protocols for the regular cleaning and updating of intent data to avoid the risk of acting on outdated information.
  • Implement Application Programming Interfaces (APIs) or use middleware to sync data between ABM systems like Demandbase, Salesforce, and Marketo, ensuring that all platforms draw from a single source of truth.

Data Validation Processes:

  • Set up processes that periodically validate the accuracy of intent data against third-party benchmarks or through feedback from sales conversations.
  • Test the effectiveness of scoring models periodically to ensure that they accurately predict account readiness and engagement.

Maintaining Consistent Messaging Across All Touchpoints

Brand and Message Alignment:

  • Develop a unified messaging framework that encapsulates brand values and unique selling propositions, and ensure this is communicated consistently across all ABM campaigns.
  • Customize messaging within the framework based on account-specific data and intent signals to maintain relevance while also adhering to the overall brand narrative.

Cross-Departmental Coordination:

  • Facilitate workshops and training sessions to ensure that all customer-facing employees, whether in marketing, sales, or customer service, are aligned on the core messages and variations being used in ABM campaigns.
  • Utilize collaborative tools and platforms to share updates on campaign narratives, creative assets, and key messages, ensuring everyone is up-to-date on how to communicate with target accounts.

Practical Tips and Best Practices for Implementation

Now that we understand the fundamentals of IBM and ABM, let’s explore how to put these strategies into action.

Designing Effective Campaigns:

  • Develop buyer personas and ideal customer profiles to inform targeting.
  • Create content that addresses specific problems and solutions for your defined audience.
  • Leverage technology to automate and scale your efforts, without losing the personal touch.

Measuring and Analyzing Success:

  • Define clear goals and KPIs tailored to each strategy.
  • Use a CRM to track engagement and conversion throughout the account journey.
  • Regularly analyze campaign data to understand which tactics are working and why.

Optimizing Strategies:

  • Test different messaging and content types to determine what resonates best with your audience.
  • Use A/B testing for emails, ads, and landing pages to optimize conversion rates.
  • Regularly review account engagement levels and adjust tactics as required to nurture leads effectively.

Intent-based and account-based marketing are powerful strategies that, when implemented thoughtfully, can drive significant results for B2B companies. By understanding the nuances of each approach and following best practices for deployment and analysis, organizations can create compelling and successful marketing campaigns—even in the absence of specific case studies.

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Valentino is a Marketing Specialist with two years of experience in B2B sales, outbound lead generation, and personalized outreach. His client-focused approach has helped his outbound efforts stand out and making the process of engaging prospects effective. Outside of work, he enjoys reading and exploring new ideas, which inspire his professional creativity.