Automated ABM Personalization at Scale for a Global Telecom

At GTT Communications, producing custom content for a single ABM target account could take up to 48 hours. Scaling that level of personalization across roughly 20 accounts a quarter was too slow and too expensive to sustain.

I built the personalization layer that fixed it: Clay and Demandbase to pinpoint the key roles at each target account, and an n8n and agentic-AI workflow that generated personalized landing pages, emails, and graphics on demand. Asset creation fell from 48 hours to minutes, personalization scaled past 20 accounts, and the program lifted sales-qualified leads 15%.

The challenge

Account-based marketing works only at depth, and depth by hand does not scale.

• Producing the custom content for a single target account took up to 48 hours.
• Scaling that across roughly 20 accounts a quarter was too slow and too costly to keep up.
• The team faced the usual ABM tradeoff: personalize deeply for a few accounts, or reach many accounts shallowly, but not both.

This work sat inside the broader demand-generation engine I integrated at GTT. That engine unified the MarTech stack and made precise account targeting possible. The problem that remained was turning that targeting into personalized content fast enough to use it at scale.

The approach

I focused the engagement on automating the production of personalized assets, so depth and scale stopped fighting each other.

I: Implementation Planning

With account targeting already possible through the integrated stack, I planned the automation layer: use Clay and Demandbase to identify the key roles at each target account, then define a workflow that could generate personalized landing pages, emails, and graphics on demand rather than building each one by hand.

M: Migration & Execution

I built an n8n and agentic-AI workflow that automatically generated the personalized assets for each account and role. Work that had taken up to 48 hours of manual production happened in minutes, with the quality and relevance that account-based marketing depends on.

The results

48 hours to minutes. Asset creation for a target account dropped from up to 48 hours of manual work to minutes.

Personalization scaled past 20 accounts. Hyper-personalized messaging reached more than 20 accounts a quarter, a level that manual production could never have sustained.

15% lift in sales-qualified leads. The personalization program delivered a 15% increase in sales-qualified leads.

Why this matters

Account-based marketing promises relevance at scale, but the two words pull against each other: real personalization is slow, and scale demands speed. Most teams resolve the tension by personalizing a little, for a few top accounts, and sending everyone else something generic.

Automating the production of personalized assets removes the tradeoff. The depth stays, and it reaches every target account instead of just the top handful. The targeting tells you what to say to whom; the automation is what lets you actually say it, at scale, while it still matters.