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FinTech$35K / month NDA protected
Case Nº 15 · FinTech

$420K Added From Users Already in the Database

$420K in email revenue. From users already in the database.

Client
FinTech Investment Platform
Industry
FinTech
Monthly budget
$35K / month
Focus
Retention · 15 flows
Key result Verified outcome
+$420K
Churn down 35% · 15 automated flows
+89%
Trial → paid conversion
+$420K
Email revenue
−35%
Churn rate
15
Automated flows

Trial-to-paid conversion up 89%.

Trial-to-paid conversion improved 89%. Churn fell 35%. The email channel generated $420K in additional revenue from users already in the database. The win-back sequences recovered 340 lapsed users in the first 90 days.

0%8%16%24%22.7%12%Mo 1Mo 2Mo 3Mo 4Mo 5Mo 6
Trial-to-paid conversion
Challenge

Leaking customers post-signup

Heavy acquisition spend but trial-to-paid under 12%, high churn, and idle users in the database.

Approach

Full lifecycle system

15 automated flows across Klaviyo and HubSpot with dynamic content personalised by plan and usage.

Outcome

+$420K from existing users

Trial-to-paid up 89%, churn down 35%, and $420K of revenue from the existing database.

01 The problem

A FinTech investment platform was spending heavily on paid acquisition but leaking customers through poor onboarding and no retention strategy. Trial-to-paid conversion was under 12%. Churn was high. The database contained thousands of users who'd trialled and left — potential revenue sitting idle.

Revenue from users you already have.

Most companies obsess over acquisition. Better flows on existing users beat any paid channel here.

01

15 automated flows

Designed a complete lifecycle across Klaviyo and HubSpot — onboarding, education, upgrade nudges, re-engagement and churn prevention.

02

Dynamic personalisation

Every email personalised to plan tier, portfolio size and feature usage, so messaging matched the moment.

03

Win-back sequences

Re-engagement flows recovered 340 lapsed users in the first 90 days from the idle database.

04

Churn prevention

Behaviour-triggered flows caught at-risk accounts early, cutting churn 35%.

The database was the asset.

Trial-to-paid conversion+89%
Before
12%
After
22.7%
Churn rate−35%
Before
Baseline
After
−35%
Email-sourced revenue+$420K
Before
$0
After
$420K

03 The results

Trial-to-paid conversion improved 89%. Churn fell 35%. The email channel generated $420K in additional revenue from users already in the database. The win-back sequences recovered 340 lapsed users in the first 90 days.

From acquisition to retention.

Onboarding → personalisation → win-back → churn.

Month 1

Onboarding flows

Built the first lifecycle flows across Klaviyo and HubSpot for new trials.

Month 2

Personalisation

Layered dynamic content by plan tier, portfolio size and feature usage.

Months 3–4

Win-back live

Re-engagement sequences recovered 340 lapsed users from the database.

Month 5

Churn prevention

Behaviour-triggered flows caught at-risk accounts, cutting churn.

Month 6

+$420K

Trial-to-paid up 89%, churn down 35%, $420K from existing users.

What the platform kept.

Documented, portable, and owned by the client not locked inside our account.

  • ✓15 lifecycle flowsOnboarding through churn prevention.
  • ✓Klaviyo + HubSpot setupConnected and fully configured.
  • ✓Dynamic content blocksPersonalised by plan and usage.
  • ✓Win-back sequencesThe flows that recovered 340 users.
  • ✓Churn-risk triggersBehaviour-based early warnings.
  • ✓Lifecycle revenue dashboardEmail-sourced revenue tracking.

04 Why it worked

$420K in additional revenue from users already in the database. Most companies obsess over acquisition and ignore retention. This lifecycle system proved that better flows on existing users can be more efficient than any paid channel.

”
They found $420K in customers we already had. We'd been so focused on acquisition we ignored the database entirely.
FT
Chief Marketing Officer
FinTech Investment Platform
Retail
36,600
Total conversions
Nordic Home & Hardware Retailer · Case Nº 16

36,600 Conversions at $1.78 CPA

305K clicks. 36,600 conversions. $1.78 cost per conversion at scale.

Read the case study→

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