Case Study · ABX & Account-Based Ads

Automating Rocketlane's ABX Ad Campaign

Agentyug built the entire automation behind Rocketlane's ABX (account-based experience) ad campaign — a pipeline that researches each target account, generates a personalised ad creative for it, and launches account-based ads on LinkedIn, with no manual design or copywriting in between.

Rocketlane ABX ad campaign — signal-based account research, custom ad generation, and hyper-personalised LinkedIn ads
ABX
Account-based experience campaign
1:1
Personalised ad creative per account
AI
Generated copy, captions & images
Auto
End-to-end, research to launch

What We Built

The pipeline, step by step

A single custom workflow takes a list of target accounts and turns each one into a personalised LinkedIn ad — research, creative, and launch, fully automated across Clay, n8n, and ChatGPT.

1

A custom Clay workflow researches each target account that's fed into the system.

2

It finds the signals from each account that can be used to generate a genuinely personalised ad.

3

A custom n8n agentic flow then researches each account in depth — going beyond surface-level data.

4

Another agent crafts the ad image copy and captions tailored to that specific account.

5

The ad copy text is sent to ChatGPT to generate the personalised ad images — unique creative per account.

6

Finally, the system launches the account-based ads on LinkedIn — closing the loop from research to live campaign.

Tech Used

The stack behind the pipeline

Clay n8n ChatGPT LinkedIn Ads

Your Campaigns

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