How We Tested and Scaled a Tech Subscription Service Through Meta + Google
How we tested BUDU, a tech subscription model new to the market, through Meta and Google Ads — 299 purchases at a $2.86 CPO and validation of the business hypothesis with data rather than assumptions. Niche: Gadgets by subscription (a new market model).
Services
Challenge
BUDU is a tech subscription service: instead of buying a phone or laptop outright, a user subscribes and pays a fixed monthly fee to use the device. For the market, this was a new model — people were used to buying or taking devices in installments. The task was not just to drive traffic, but to validate real demand and the economics of the model.
Goal
Launch the website and test real market interest in the model. Get the first purchases, understand acquisition economics, and build a stable flow of conversions. Determine which channel — Meta or Google — provides better purchase economics.
Results
543 conversions
Google = scale
Key problems before launch
- the model was new to the market — it was unclear whether real demand existed
- there was no clear acquisition economics
- the audience did not understand the difference between subscription, a loan, and installments
- analytics needed a clear structure before launch
This was not just an ad launch — it was a business-hypothesis test: is the market ready to pay for gadget subscriptions?
Strategy: validating the business model
We entered the project as a test of a new business model. First, we:
- set up proper purchase tracking
- connected Meta Pixel
- configured conversions in Google Ads
- checked user behavior on the website
We clearly fixed what counts as a purchase and how it should be measured. Only after that did we scale.
Meta Ads
Meta became the main test channel:
- campaigns optimized for purchases
- testing different audiences
- using remarketing
- optimization based on actual conversions
In communication, the offer was simple and clear: this is not a loan and not installments — it is a subscription with a fixed monthly payment.
Meta result: 299 purchases, CPO $2.86, spend $961.85.
Google Ads
Google was connected for scale. It generated 543 conversions and around 49% of total traffic, proving demand and helping expand reach.
What Worked
Clear analytics before scaling — without it, testing the business hypothesis would have been impossible.
Optimization for real purchases, not traffic — every conversion was counted and influenced the algorithm’s learning.
Simple communication of a new model: “not a loan, not installments — a subscription with a fixed payment.”
Testing channels and comparing economics — Meta won on CPO, Google provided scale.
Decision-making based on data — the business hypothesis was confirmed with numbers rather than intuition.
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