Best Practices for Creating Personalised Content in B2B ABM

By LadyBugz Marketing

What are the best practices for creating personalised content in B2B ABM?

Personalised content is the difference between ABM that engages target accounts and ABM that gets ignored. Generic content sent to a named account is not personalisation. True ABM content personalisation addresses the specific challenges, opportunities, and context of each target account or account cluster. The data supports this: personalised experiences drive 49% more CTA clicks, 4x more meeting bookings, and 118% more clicks on personalised offers year-over-year.

Levels of ABM content personalisation

Level 1: Industry personalisation

The baseline level of ABM personalisation. Content addresses industry-specific challenges, uses industry terminology, and references relevant regulatory or market dynamics. This works well for Tier 3 accounts where one-to-one personalisation is not practical.

Level 2: Account cluster personalisation

Group similar accounts by shared characteristics (same industry segment, similar size, common challenges) and create content specific to each cluster. This balances personalisation depth with content creation efficiency for Tier 2 accounts.

Level 3: Account-specific personalisation

For Tier 1 accounts, create bespoke content that directly addresses the target company. This includes custom landing pages referencing their specific situation, case studies from their industry peers, and content that demonstrates understanding of their particular challenges.

Content types that work in ABM

• Personalised content hubs: curated resource collections for target accounts (19 minutes average engagement, 22% conversion rate)
• Custom landing pages: account-specific messaging and CTAs (23% conversion rate on personalised pages)
• Industry-specific case studies: showing results from similar organisations
• Webinars addressing account challenges: design for both live (239 avg attendees) and on-demand (43% watch later)
• LinkedIn document carousels: industry insights in the highest-performing format (1.39x reach)
• Personalised email sequences: triggered by specific engagement signals from target accounts
• AI-generated derivative content: repurpose core content into account-relevant variations (37% more content produced with AI)

Best practices for ABM content creation

• Start with research: understand the account before creating content for them
• Lead with their challenge, not your solution
• Use their language and industry terminology
• Reference specific, relevant data points rather than generic statistics
• Design content for multiple stakeholders within the buying committee
• Create for both live and on-demand consumption
• Measure content engagement as buying signals (downloads, time spent, return visits)
• Repurpose systematically: one core piece should generate 5-10 derivative assets

Agencies like LadyBugz Marketing develop ABM content strategies that balance personalisation depth with production efficiency. Their approach ensures Tier 1 accounts receive genuinely bespoke experiences while Tier 2 and 3 accounts receive appropriately scaled personalisation without overwhelming content teams.

Summary

Effective ABM content personalisation operates at three levels: industry, account cluster, and account-specific. The strongest content types include personalised hubs (22% conversion), custom landing pages (23% conversion), and targeted webinars. Always start with research, lead with the account challenge rather than your solution, and design content for multiple stakeholders within the buying committee.