Marketing

Cross-source funnel and customer insight analysis

Uses AI agents connected to BigQuery, Slack, Notion, GitHub, Linear, sales calls, website data, support feedback, customer conversations, and social platforms to answer questions about product and funnel performance and pull narrative insights.

Why the human is still essential here

The human decides which questions matter, interprets the signals, and turns findings into strategy. AI speeds retrieval and synthesis, but business judgment and prioritization remain human-led.

How people use this

Plain-English funnel queries

A marketer asks why signup conversion dropped or which channel is driving activation, and AI translates the question into warehouse-ready analysis without manual SQL.

Looker + Gemini / ThoughtSpot

Customer theme extraction from calls and tickets

AI summarizes recurring objections, feature requests, and win reasons from sales calls, support tickets, and customer interviews to inform messaging.

Gong / Zendesk AI

Cross-app internal insight search

AI searches across Slack, Notion, GitHub, and product systems to answer ad hoc questions about what changed, what customers said, and what teams already know.

Glean / ChatGPT Enterprise

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Personal Story
LinkedIn

How do I use AI?

How do I use AI?

I use AI every day and the biggest impact is really how much I can do myself. But even as I was writing this, I was wondering 'is this basic??' Then I asked my AI how I use AI, and it said 'You're an advanced AI user' so now trying to remind myself I live in a bubble.


How would y'all answer this? Some daily examples below:


--> there’s an editing skill my team named β€œTalia pass,” which reviews writing and makes edits it thinks I would make. TY Rohan Ranjan for immortalizing me.


--> data analysis: agents connected to BigQuery, Slack, Notion, GitHub, Linear, sales calls, and website data. I can ask questions about what’s happening in the product or funnel without learning SQL or pulling in a data engineer for every query.


--> improving a narrative by gathering insights from support, customer conversations, social platforms, etc.


--> I have a veryyyy particular voice / tone guide for reviewing my own work. I’ve recently paused writing from scratch with AI (worried I’m losing critical thinking skills!!!), so I draft first and then pass it to my agent for review. I especially use it to check that I’m tying back to a thesis, backing up my points with sources, and keeping writing crisp.


--> launch brief reviews. My agent knows our audience, product, previous launches, and the technical depth I like to go for. Fernanda Chouza took this massively further and created a skill that looks across ALL our launches, so I can get pointers from what’s worked and what hasn’t across the team.


--> sourcing cool engineering stories! We have a bot that identifies interesting engineering work and posts the source alongside potential story angles.


--> generating my to-do lists and automating follow-ups for simpler tasks.


--> using bots to submit creative requests.


--> uploading blogs, making website changes, and submitting PRs.


--> creating an β€œRSS” feed that updates me on specific topics.


--> generally prototyping anything using Lovable.


Btw my agent’s name is meatbol πŸ₯Ά

TM
Talia MoyalProduct marketer at Lovable
Oct 26, 2026