GenAI-powered

Marketing Experiences

Personalized AI analyst for every marketer.

Advertisers on LinkedIn face three critical challenges today:

  1. They don’t know what to do with the results from their ad campaign.

  2. They want to create better campaigns (but don’t know how).

  3. They have no clue where they stand with their competitors.

By combining AI-powered insights with competitive benchmarking, real-time recommendations, and our cutting-edge economic graph, we’re going to help customers compete more effectively to grow their market share, make the right decisions faster, and position our AI-driven analytics suite as the critical thing for B2B businesses to win in the real world.

Automating intelligence and making decisions easy.

What our new reporting suite offers:

  1. We can use AI to conversationalize data and make them actionable for our customers.

  2. We can generate AI summaries to help customers better understand value, build comprehension, and uplevel their thinking over time.

  3. We can use AI to harness data points across all LinkedIn campaigns to help customers contextualize their position within the competitive market.

The importance of “actionable” insights

There’s a simple formula to making this work: insights + recommendation = actionable.

A recommendation without an insight feels like we’re coercing an advertiser to do something that doesn’t make sense (“Increase your budget by $1000 just because”). An insight without a recommendation places the burden of problem-solving on the user. Imagine we told you,“Your ad campaign isn’t really generating leads from your target audience… good luck with that!” It would leave the advertiser feeling lost and hopeless.

Reporting today is often seen as a retrospective tool for analyzing past performance, but we can add insights to highlight the prospective value of actions advertisers can take to uplevel their strategic thinking and run more effective campaigns with our contextual and proactive guidance.

To make the experience seamless, these recommendations and best practices will be served to the customer at each point in their journey and will be tailored towards the user’s current task at hand. Our AI models can learn from historical campaigns and advertiser/customer interactions - being able to communicate the impact of memory and continuous learning to advertisers.