RudderStack

Collect, unify, and activate trustworthy customer context from the agentic CDP that runs on your warehouse.

[RudderStack @RudderStack]

Can you really trust analysis and audiences from agents?
Just throwing Claude at your warehouse? Nope 🙅‍♂️
Using Lookout, with context and guardrails built in… Oh yeah! 🤩

Lookout has context to understand your data and your business. Here’s how:

Context integrations
⚙️ GitHub integration: reads your dbt, LookML, or Cube code so it knows how your tables are built.

📕 Semantic layers: uses Snowflake semantic views and Databricks Unity Catalog metric views, so audiences use the metrics your company already certified.

Context Hub

📄 Notes and skills teach Lookout your ICP, your rules, and how your team works.
🧠 Memories make Lookout smarter the more you work, so context compounds and your audiences get (even) sharper.
Read more in the announcement blog 👇

[RudderStack @RudderStack]

Today at 1 pm ET, we're going live with Humans of Martech and PrizePicks 🚀

Phil Gamache and Darrell Alfonso will chat with Meghan Hilton from PrizePicks about what segmentation and targeting really look like inside a fast-moving marketing team, and what changes when marketers can work directly with governed warehouse data instead of waiting in the queue.

Can't make it live? Register anyway, and we'll send you the recording!
https://t.co/eCI2UxmnHi

[RudderStack @RudderStack]

Don't miss it! Tomorrow, we're going live with @PrizePicks and @humansofmartech to talk about how marketing teams can move faster and take control of audience activation.

Can't make it live? Register anyway, and we'll share the recording!
📆 Thursday, November 12 at 1 PM ET

[RudderStack @RudderStack]

https://t.co/KtrLwGFibU

[RudderStack @RudderStack]

💥 Lookout is here! Today we’re smashing the bottleneck between data and marketing.

If you've ever been the person between customer data and a marketing campaign, you know the feeling. You're a bottleneck. And being the bottleneck sucks.

Today we're launching Lookout, an agentic suite for marketing teams that takes you from "who should we target?" to live audience in minutes.

It’s not just an audience builder, because the hardest part of targeting isn’t building the audience. It’s figuring out who belongs in it and getting it where it needs to go reliably, with fresh data.

Lookout's agents cover the whole process:
📊 Analyze: Start with a goal, not a prescription. Lookout explores all the data in your warehouse and suggests segments worth targeting.

🛠️ Build: Turn your analysis into an audience instantly. Inspect the SQL or refine it in a visual builder.

⚡ Activate: Sync it to your ad platforms, CRM, and engagement tools, refreshed as often as every five minutes.

🤔 But can you trust analysis and audiences from agents? With Lookout, you can! Everything Lookout does is grounded in context about your business and your data thanks to its context integrations and a context hub.

It's got an MCP and connects to slack, so it meets you where you already work, and it’s generally available today.

Link in the comments to learn more 👇

[RudderStack @RudderStack]

Tired of ad hoc requests from marketing for audience lists?

Next Thursday, November 12th, at 1:00 PM ET, join @humansofmartech and @PrizePicks RevOps and Lifecycle leader Meghan Hilton to learn how they’re putting analytics and audience building directly in marketers’ hands without sacrificing data control.

https://t.co/eCI2UxmnHi

[RudderStack @RudderStack]

The data team has the customer data. Marketing has the ideas. In between: a ticket queue.

On Thu, Nov 12 (1 PM ET), Phil Gamache and Darrell Alfonso of Humans of Martech sit down with Meghan Hilton (PrizePicks) and Dominic Benton (RudderStack) to talk about how teams are breaking that loop.

Whether you build the audiences or wait on them, this one’s for you.
Save your seat 👉 https://t.co/eCI2UxmnHi

[RudderStack @RudderStack]

We are open-sourcing DevBox, the autonomous engineering harness our engineers have run every day since April.

Delegate the issue, review the pull request.
Runs in your cloud. MIT licensed.

https://t.co/r6vjgwhcls

[RudderStack @RudderStack]

Next week we're open sourcing DevBox, our autonomous engineering harness that we have been using for the past 6 months.

Sign up to get notified when we make the repository public - https://t.co/VAkqrqEY2R

[RudderStack @RudderStack]

DevRel @pradeep_io built a RudderStack Transformation via @typesafeai Jev: classifies events by kind (human, AI agent, crawler) and abuse probability before your warehouse. Rules ask "known bot?" Jev asks "what kind, and what intent?"

https://t.co/1sHKAVkcY5

#jev #TypeSafeAI

[RudderStack @RudderStack]

MANSCAPED replaced a tangle of client-side ad tags with a single RudderStack SDK.

Results:

📈 37% revenue increase
📉 10% improvement in Meta CPA
📉 29% improvement in TikTok CPA
📈 162% more revenue from Snap Ads

Read the full case study for details: https://t.co/IOqLa4DrsP

[RudderStack @RudderStack]

RudderStack was named an Analytics & Measurement Leader in @Snowflake's Modern Marketing Data Stack 2026, 5th edition.

The agentic CDP with Snowflake-native DNA for bringing agentic workflows to the entire customer data lifecycle.

Full report: https://t.co/dxHoPX4n6c

[RudderStack @RudderStack]

11 companies. 6 industries. The same wall.

One fintech tested the same AI query 500+ times. Passed every time. Then came the VP demo. Same prompt. Wrong answer.

The agent wasn't broken. It was reading storage, not meaning.

Read the blog: https://t.co/VNzlR9w8kC

#AgenticCDP

[RudderStack @RudderStack]

Now, every RudderStack signup gets a 30-day free trial of our Growth plan.

Sign up with your business email to collect data, govern it in pipeline, and send it to 200+ destinations (including real-time warehouse connectors) for activation.

Learn more: https://t.co/sLElSTVoxf

[RudderStack @RudderStack]

What a session! 🙌

Our COO @VenkatNagaswamy joined @Glassdoor at #SnowflakeSummit to talk bridging the dev/data divide with AI agents, and the room had a lot to say.

Still at booth #3007 if you want to keep the conversation going.

[RudderStack @RudderStack]

The data team shouldn't be the bottleneck between data, answers, and activation.

Today we're launching RudderAI: agentic power across the entire customer data lifecycle.

Get all the details → https://t.co/DuICQQm3wc

[RudderStack @RudderStack]

At Snowflake Summit this week? We're sponsoring a table at Club @Hex — coffee, breakfast, evening events, and good conversations about all things data 📊

Stop by between sessions. Sign up here → 🔗 https://t.co/FeqT04tnxG

#snowflakesummit

[RudderStack @RudderStack]

Snowflake Summit starts today! 🎉 Find us at Booth #3007.

Tomorrow at 3:30, our COO @VenkatNagaswamy takes the stage with @Glassdoor: "Bridging the Dev/Data Divide with AI Agents."

Come say hello or catch the talk 🔗 https://t.co/3AZPS6OhLz

#snowflakesummit

[RudderStack @RudderStack]

AI will kill the analytics UI. But the infrastructure underneath (semantic models, ID resolution, data quality, governance) is more important than ever.

The casualty isn't analytics. It's the UI vendor that built a moat out of dropdowns.

Read the blog: https://t.co/nM3jxmnGoG

[RudderStack @RudderStack]

Agents may finally close the analytics-to-activation gap.
Describe the outcome in plain language → agent queries, segments, and activates.
Near-term: operators prompt, agents act.
Next: agents that don't wait to be asked.
Read more → https://t.co/pqWEt6B2lq