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Case Study: Scaling an AI Astrology Service — From MVP to $310K Revenue in 12 Months
Project Overview
Our client is a web-based AI astrology platform that generates personalized natal chart reports. Each report is a 20+ page PDF that provides detailed astrological insights based on the user's birth data.
The product was affordable (just $3-4 per report), had a short conversion cycle (under 1 hour from first touch to purchase), and was initially marketed only in Brazil.
When we started working with the client, they had a single MVP and were running basic Facebook ads with a monthly spend of around $3,000.
Over the course of a year, we helped them scale advertising, improve product performance, and drive meaningful revenue growth.
The product was affordable (just $3-4 per report), had a short conversion cycle (under 1 hour from first touch to purchase), and was initially marketed only in Brazil.
When we started working with the client, they had a single MVP and were running basic Facebook ads with a monthly spend of around $3,000.
Over the course of a year, we helped them scale advertising, improve product performance, and drive meaningful revenue growth.
Initial Challenges
Before we joined the project, the product had clear potential — but scaling it was proving difficult. Here’s what we were up against:
1. Scaling issues: Attempts to increase ad budget quickly led to negative ROI.
2. Lack of analytics: No clear data to guide funnel or product improvements.
3. Low average order value: No upsells or pricing strategy in place.
4. Limited product range: Only one basic product, with no roadmap for expansion or LTV growth.
1. Scaling issues: Attempts to increase ad budget quickly led to negative ROI.
2. Lack of analytics: No clear data to guide funnel or product improvements.
3. Low average order value: No upsells or pricing strategy in place.
4. Limited product range: Only one basic product, with no roadmap for expansion or LTV growth.
What We Did
1. Set up a robust analytics system
We implemented Amplitude and configured it to track all key funnel steps as well as granular user data — device type, location, time of purchase, and more.
This gave us the insights needed to test smarter. One unexpected discovery: conversion rates nearly doubled on evenings, weekends, and holidays. We began focusing ad delivery on these high-performing time windows to boost efficiency.
2. Researched the market and expanded the product line
While the client was focused on Brazil, we analyzed top competitors globally. We found strong demand for astrology reports around love/relationships and wealth/career.
We created and launched these new themed reports, building a simple product chain that encouraged repeat purchases. This led to a 15% repurchase rate, significantly improving overall ROI.
We also collected post-purchase feedback through surveys. The average customer rating was 4.83/5, and the responses helped us prioritize which new products to develop next.
3. Launched 100+ A/B tests across the funnel
We took an aggressive testing approach across every stage of the user journey:
• Price point variations
• Different paywall formats
• Multiple offer and bundle structures
• Funnel layout experiments
• Headlines, CTAs, and copy tests
After a year of constant iteration, we improved the click-to-purchase conversion rate by 2.2x.
4. Scaled paid traffic with a creative testing engine
We built a lightweight creative framework that allowed us to test hundreds of ad variations. Our core strategy:
• Start with 1 design
• Generate 5+ headline variants for that design
• Prioritize headline testing, as it had a bigger impact than visuals
In truth, many of our early winning creatives were direct copies of top-performing competitor ads. Once we validated what worked, we evolved those ideas with our own hypotheses.
On the technical side, we integrated Facebook CAPI, improving pixel signal quality and attribution. This boosted ROAS notably.
We also tested other GEOs (Mexico, Chile, Argentina), but Brazil consistently outperformed — 90% of traffic remained there.
We implemented Amplitude and configured it to track all key funnel steps as well as granular user data — device type, location, time of purchase, and more.
This gave us the insights needed to test smarter. One unexpected discovery: conversion rates nearly doubled on evenings, weekends, and holidays. We began focusing ad delivery on these high-performing time windows to boost efficiency.
2. Researched the market and expanded the product line
While the client was focused on Brazil, we analyzed top competitors globally. We found strong demand for astrology reports around love/relationships and wealth/career.
We created and launched these new themed reports, building a simple product chain that encouraged repeat purchases. This led to a 15% repurchase rate, significantly improving overall ROI.
We also collected post-purchase feedback through surveys. The average customer rating was 4.83/5, and the responses helped us prioritize which new products to develop next.
3. Launched 100+ A/B tests across the funnel
We took an aggressive testing approach across every stage of the user journey:
• Price point variations
• Different paywall formats
• Multiple offer and bundle structures
• Funnel layout experiments
• Headlines, CTAs, and copy tests
After a year of constant iteration, we improved the click-to-purchase conversion rate by 2.2x.
4. Scaled paid traffic with a creative testing engine
We built a lightweight creative framework that allowed us to test hundreds of ad variations. Our core strategy:
• Start with 1 design
• Generate 5+ headline variants for that design
• Prioritize headline testing, as it had a bigger impact than visuals
In truth, many of our early winning creatives were direct copies of top-performing competitor ads. Once we validated what worked, we evolved those ideas with our own hypotheses.
On the technical side, we integrated Facebook CAPI, improving pixel signal quality and attribution. This boosted ROAS notably.
We also tested other GEOs (Mexico, Chile, Argentina), but Brazil consistently outperformed — 90% of traffic remained there.
Final Results
Over the course of 12 months:
• We increased the monthly ad spend from $3,000 to $30,000/month
• Generated $310,000 in total revenue
• Ran over 100 A/B tests
• Achieved +220% growth in conversion rates
• We increased the monthly ad spend from $3,000 to $30,000/month
• Generated $310,000 in total revenue
• Ran over 100 A/B tests
• Achieved +220% growth in conversion rates
Conclusion
Despite strong growth, the project was ultimately discontinued. The main reason: lack of a subscription-based business model.
In the astrology niche, top competitors are mobile apps that monetize via monthly subscriptions. Our client's product was web-based and focused on one-off purchases — a model that limited LTV, especially in Brazil where subscriptions are less common.
The founder was unable to secure investment for app development and, as a result, decided to wind the project down.
This case proves that even a low-ticket, one-time purchase product can scale successfully with the right strategy: data-driven optimization, smart creative testing, and targeted product expansion.
And sometimes, knowing why something stops working is just as valuable as knowing how to make it grow.
In the astrology niche, top competitors are mobile apps that monetize via monthly subscriptions. Our client's product was web-based and focused on one-off purchases — a model that limited LTV, especially in Brazil where subscriptions are less common.
The founder was unable to secure investment for app development and, as a result, decided to wind the project down.
This case proves that even a low-ticket, one-time purchase product can scale successfully with the right strategy: data-driven optimization, smart creative testing, and targeted product expansion.
And sometimes, knowing why something stops working is just as valuable as knowing how to make it grow.
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