# How I Grew Revenue 1.75x in 30 Days (ChatGPT x Gmail x Attio Hack)

## Метаданные

- **Канал:** Demand Curve
- **YouTube:** https://www.youtube.com/watch?v=cNsQvEMbqig
- **Дата:** 15.07.2025
- **Длительность:** 1:15
- **Просмотры:** 574

## Описание

Champagne and poker?
Nah. ChatGPT x Gmail x Attio.
How I 1.75x'd revenue in 30 days.

In June, Justin (our CEO) and I had a realization:
Our newsletter sponsorship revenue stream was basically running itself.
→ 100% inbound inquiries.
→ Very little "selling" via email.
→ No sales calls, no outbound.

I decided to run a quick sprint.
Could I 2x our sponsor revenue in 30 days?
...with minimal effort.

Here's what happened:

📊 The starting point:
→ Basic Notion database as our "CRM"
→ No unified inbox
→ Comms scattered across email threads
→ No systematic follow-up process
→ No outbound (as mentioned)

🧭 My 80/20 plan:
Instead of chasing new leads, I decided to focus on closing brands that already know us:

A. Previous sponsors
B. Warm inquiries that never converted

To reach these people, I'd need to do a couple things:
1. Get organized (select a real CRM to track comms)
2. Set up outbound campaigns
3. Personalize at scale
4. Actually follow up (novel concept, lol)

🛠️ Executing the plan:
First, I selected @attioCRM as our CRM.
The AI-native features caught my eye.
Plus it feels like Notion (which our team uses).

Second, I started building my two campaigns.
Drafting email copy can take longer than it needs to.
I decided to try my hand at vibe-coding a solution.
Built a Gmail scraper in 20 mins.
Pulled 2 weeks of my REAL sales convos.
Fed them to Claude to write campaigns that sound like me.

Third, I launched the campaigns.
Every email had a custom P.S. line based on the company's actual product.
(Research from 💜 🔮 Will Allred at Lavender AI shows this can boost replies by 35%)

📈 Results (as of today, 7/15):
→ 32% reply rate
→ 24 deals initiated from outreach
→ 4 package deals closed so far
→ 9 deals in active conversation
→ July/August revenue up 1.75x vs May/June
(tracking towards 2x revenue)

💡Some things I learned:

→ Tools like Attio can consolidate your sales stack
We went from Notion + spreadsheets + 3 other tools to just Attio.
Meeting recordings, enrichment, sequences all in one place.

→ Email scrapers are really powerful
And everyone can do it.
You don't need to be technical.
ChatGPT will literally write the code for you.

→ We need to ramp an "always on" outbound motion
This experiment proved we're leaving cash on the table.
Setting up recurring campaigns now.

→ Your "perfectly fine" systems might be broken
We thought our sponsorship process was solid.
Turns out we were operating at 50% capacity.

So the old adage, "if it ain't broke, don't fix it"
Actually seems like pretty terrible advice.
With minimal effort, we nearly 2x'd our sponsor revenue.

This same approach can work for any revenue stream you've been ignoring.

So, what'd you do last night?
Party or dig for revenue?

Want the full case study + my Gmail scraper code?
💬 Drop a comment or shoot me a DM.

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Full transparency: @attioCRM  sponsored this post, but this was a real project we'd already set out to tackle. We still use Attio as our CRM.

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⸻

👤 Created by Kevin DePopas, Chief Growth Officer @ Demand Curve
• LinkedIn: https://www.linkedin.com/in/kevindepopas
• X (Twitter): https://x.com/kdepop
• YouTube: https://www.youtube.com/@kevindepopas
• TikTok: https://www.tiktok.com/@kevindepopas

## Содержание

### [0:00](https://www.youtube.com/watch?v=cNsQvEMbqig) Segment 1 (00:00 - 01:00)

Yeah, what did you do last night? — I chat GBT write a scraper that pulls all of my salesreated emails and replies into a sheet. I dropped that data into Clawude 4 Opus and had it create two campaigns. One for previous sponsors and one campaign for people who reached out but never converted. I wanted these campaigns to reflect how I actually talked to prospects, including all of the little details and nuances of our business, which is why I scraped all of my real sales emails first. Before building out the campaigns, I dumped 500 prospect records into Atio. It enriched company description, revenue, and employees automatically. I added two AI research agent fields. One for sponsor fit. AI researches if they're a good fit for our newsletter, one for product value prop. AI pulls the company's main product offerings. We'll use these later in the campaigns I'm building. Then I built my two email sequences in Atio. I added AI content throughout the campaign. I used the AI company value proposition variable to write a personalized PS for every prospect. I also had my colleague Joey build an automation so when a prospect books a call, they move to meeting booked. When it's time for a call, Adio's meeting agent records it, pulls out action items, and stores them on the company's record. Now I can stop paying for those other AI meeting assistants. So the end result, I went from 500 potential prospects to around 82 hot prospects with personalized email campaigns cued in just a couple hours. So, what did you do last

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*Источник: https://ekstraktznaniy.ru/video/46204*