LinkedIn Ads - Beta Feature: Buyer Groups

Influent Social · Intermediate ·🔍 RAG & Vector Search ·1y ago

Skills: RAG Basics80%AI Pair Programming60%

LinkedIn is trying a new Beta Feature called "Buyer Groups" for targeting on its ads platform. The purpose of this is to target the different departments that would be part of the group that makes the decisions on purchases in order to influence more conversions & closed deals. It encourages an ABM approach, which would allow you to target the buyer groups at specific companies. This can be an extremely effective LinkedIn Ads strategy. I'll continue sharing these types of updates for new beta features as they roll out.

Watch on YouTube ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: RAG Basics

View skill →

High Performance (Realtime) RAG Chains: From Basic to Advanced

High Performance (Realtime) RAG Chains: From Basic to Advanced

Coding the Ultimate RAG Engine from Zero

Coding the Ultimate RAG Engine from Zero

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG with LangChain on Google Cloud

RAG with LangChain on Google Cloud

Google Cloud Tech

Build an End-to-End RAG API with AWS Bedrock & Azure OpenAI

Build an End-to-End RAG API with AWS Bedrock & Azure OpenAI

Related AI Lessons

RAG Chunking Is Not About Length — It Is About Preserving Meaning

Learn how RAG chunking preserves meaning in long documents by avoiding fixed-size chunks

The Future of RAG: Dead, Evolving… or Becoming the Brain of AI?

Learn about the future of RAG, from its current state to emerging trends like Agentic RAG and multimodal AI

Medium · Machine Learning

Smart Routing, Transfer Family Ingestion, and Voice Chat — Permission-Aware RAG v4.2

Learn about the latest features in Permission-Aware RAG v4.2, including Smart Routing, Transfer Family Ingestion, and Voice Chat, and how to apply them in your projects

Dev.to · Yoshiki Fujiwara(藤原善基)@AWS Community Builder

Most Companies Doing GenAI Are Really Just Doing RAG: RAGOps Explained for analysts

Learn why RAGOps is becoming the preferred approach for GenAI projects and how it differs from agent-based approaches

Watch this before applying for jobs as a developer.