+160% deposit volume in 12 months

The starting point

When we started working with Criptan, the situation was the following:

• Underutilized budget: They had €75,000 per quarter for marketing, but never spent it because they weren't sure what was working and what wasn't.
• Paid with no real visibility: They were running paid campaigns that brought in new customers, but couldn't be sure of attribution. All the traffic went to mobile and they had no control or traceability there.
• Influencers with no system: They had worked with influencers in the past and believed it was working, but had no clear way to measure it.
• The big challenge — the trust barrier: Their product offered very high yields on user savings, generated safely. But when you tell someone "you're going to earn 10% on your savings", the first thing they think is that it's a scam. The core problem was: how do you overcome that distrust barrier?

Key results

Metric	Before	After	Change
Deposit volume	Baseline	+160%	+160%
Average deposit per user	€3,396	€5,269	+55%
Activation rate	Baseline	+51%	+51%
Payback Period	3-5 months	1-2 months	Reduced 60%
Trustpilot reviews	70 (3-star)	300+ (4+ stars)	+324 reviews
Sign-ups	Baseline	+11%	+11%
First Deposits	Baseline	+68%	+68%

What we did — The Trust Engine applied step by step

Phase 0 — Find the gap

Before touching a single campaign, we needed to understand who the real customer was. And what we discovered changed the whole strategy.

The "crypto bro" wasn't our customer. The typical crypto profile — the one looking for quick wins — wasn't investing here. This platform only offered Bitcoin, Ethereum, USDC and EuroC. Too "boring" for that profile.

Our real customer was conservative. People who had never invested in crypto. People who already had their money in euro deposits or money-market funds and simply wanted to get a higher yield on their savings.

Push vs. Pull analysis:

Force	Description
Push (in favor)	Yield much more attractive than traditional banks
Pull (against)	Total distrust — new, unknown platform, and on top of that it talks about "crypto"

The push was strong, but the distrust pull cancelled it out. Without solving that, no channel was going to work.

Phase 1 — The Trust Fortress

With the gap identified, the goal was clear: control what users find when they investigate us.

1. Business model transparency

The first thing was to put a face on the company. We created content that clearly explained:

• What the business model was
• What exactly they did with customer funds
• How those funds were invested and how the yield materialized
• What risk standards were applied

The goal was that whoever was going to talk about the company would actually read it — and feel confident they weren't recommending a scam.

2. Reviews — from 70 reviews (3-star) to 300+ reviews (4+ stars)

The starting situation was concerning: about 70 Trustpilot reviews with an average score of 3.

What we did:

• We identified the thousands of customers who were delighted with the product
• We systematically asked them to leave reviews, both on Trustpilot and the App Store
• Result: we went from 70 to over 300 reviews and from a 3-star score to above 4

3. Positioning the CEO and investors

We positioned Jorge, founding CEO and main shareholder, as the public face of the company. We also communicated who the other shareholders and investors were that had backed the company.

Phase 2 — Qualified Demand: Creators and Affiliates

With the trust fortress in place, it was time to generate attention — traffic that already came with borrowed trust.

Channel selection: traditional investment, not crypto

Instead of going to crypto YouTubers (the "obvious" channel), we went to traditional investment media: channels that talked about deposits, funds, savings, yield. That's where our real audience was.

The winning format: podcasts

The best-performing format was the podcast. Content creators interviewed Jorge, who told the company's story, how the model worked and why it was safe.

All traffic was directed to an offer with a 20% extra yield — valid only if they activated within the first 7 days, generating real urgency.

Phase 3 — The Flywheel in action

With every piece connected, the system started feeding itself:

1. Podcasts and creators generated awareness among the right audience
2. Users investigated and found positive reviews, transparency content and Jorge as the public face
3. The incentive offer drove conversion within the first 7 days
4. We measured everything and reinvested in what was working

Each turn of the flywheel was more efficient than the previous one.

The key wasn't a magic channel. It was a system where every piece reinforced the others.