SOLUTIONS / FINTECH

You process millions in transactions. You can't tell which features drive upgrades.

FinTech products sit on the richest behavioral data in SaaS — transaction frequency, account balances, feature adoption patterns. But most of it stays in the data warehouse, disconnected from the product decisions that drive growth.

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The FinTech analytics disconnect.

Your risk team has real-time transaction monitoring. Your compliance team has audit-ready logs. Your product team has page views and button clicks. The data that actually predicts revenue expansion — which usage patterns separate a $99/mo account from a $2,500/mo account — doesn't exist in any dashboard.

Transaction data and product analytics live in separate systems — nobody sees the full picture
Activation defined as "account created" — not first meaningful transaction or workflow completed
Feature adoption rates unknown — your highest-value capability may have a 13% discovery rate

What we've seen in FinTech.

Growth problems hiding in transaction-rich, insight-poor analytics setups.

Payments Platform — Series B

Revenue events weren't connected to product events. Stripe sent subscription data. The product tracked usage. But nobody could see which features predicted upgrades, which predicted churn, and which predicted nothing. $2.5M in annual revenue opportunity was sitting in 3 measurement gaps.

FinTech SaaS — Series A

Growth team running 1 experiment per quarter. Benchmark for top-decile growth teams: 10–20. No statistical framework, no experiment repository. Every test started from scratch because there was no system to learn from previous results.

Lending Platform

Support ticket patterns were predicting churn 60 days early — accounts that submitted 3+ tickets in a 14-day window churned at 3.2× the baseline rate. The signal sat in the data for 18 months before anyone surfaced it.

The fix.

We connect your transaction data to your product analytics. Revenue events linked to usage patterns. Churn prediction built from behavioral signals. Experimentation infrastructure that lets you test pricing, onboarding, and feature discovery — with statistical rigor.

START HERE

Analytics Audit

$3,497 · 10 days

Full audit of your analytics implementation. Transaction events connected to product events. Revenue attribution mapped.

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FULL SYSTEM

The Foundation

$15K–$25K · 4–6 weeks

Analytics, experimentation, churn prediction, competitive intelligence — built and operational.

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CASE STUDY
$2.5M

Annual revenue opportunity identified from 3 measurement gaps

E-commerce SaaS. 10-day analytics audit. Revenue events connected to product behavior.

Connect your transaction data to growth decisions.

10 days. A complete picture of what's broken, what's missing, and what it's costing you. If the audit doesn't find meaningful gaps, you get a full refund.

FinTech products sit on more behavioral data than any other vertical. The question isn't whether the signals exist — it's whether anyone is watching them.

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