Turn Product Data Into Predictable Growth

Most SaaS teams drown in dashboards but still can't tell which signups become revenue. We connect product events, funnel data, and MRR into one trusted view, then act on it.

250+

Campaigns Launched

110+

Partner Brands

40+

In-House Specialists

The Problem

Why SaaS Teams Can't Trust Their Own Numbers

Your funnel spans a free trial, a product-led signup, and a sales-assisted close, but the data lives in five disconnected tools. Activation events fire inconsistently, churn is calculated three different ways, and nobody can say with confidence which channels actually drive paying accounts. So growth decisions get made on gut, not evidence.

Cosmo fixes the plumbing before the reporting. Our analysts map your activation and aha-moment events, then our in-house dev team instruments them cleanly across product, billing, and marketing. The result is one source of truth for activation, free-to-paid conversion, cohort retention, and revenue attribution, and when the data points to a fix, the same team ships it, often the same day.

Our Approach

How We Run Data & Analytics

01

Instrument the full funnel

We audit your tracking, define the events that actually predict revenue, and our dev team wires them across product, billing, and marketing. No more guessing whether an activation milestone fired or where a paying account came from.

02

Connect data to revenue

We build cohort, retention, and attribution views that tie every signup back to MRR and CAC. You finally see which campaigns and onboarding moments turn trials into paying accounts, not just which ones generate traffic.

03

Ship what the data says

Insight only matters if something changes. When the numbers expose a leaky onboarding step or a misfiring channel, our in-house team implements the fix and re-measures, closing the loop instead of handing you a slide deck.

Proof

Proof, Not Promises

0 → 1
Concept to live product

The same in-house strategy and dev team that took Updone, a staffing marketplace, from concept to a live, revenue-generating product is the one that instruments and acts on your SaaS analytics.

Common Questions

Data & Analytics for SaaS: FAQs

What SaaS teams ask us most about Data & Analytics.

We instrument the events that matter across your product, billing, and marketing stack, then build reporting that ties signups to activation, retention, and revenue. Unlike a reporting-only shop, our in-house team also implements the changes the data calls for.

We work with the SaaS analytics stack you already use, including product analytics, your data warehouse, billing, and marketing platforms. If your setup is fragmented, we consolidate it into one trusted view rather than adding another disconnected dashboard.

Most teams have a clean, trustworthy activation and revenue view within the first few weeks, because we start by fixing event tracking before building reports. Timelines depend on how many tools and how much technical debt we're untangling.

Yes. That is the core difference. Strategy, analytics, and engineering sit under one roof, so when the data exposes a leaky onboarding step or a misfiring channel, the same team ships the fix and re-measures the impact.

No. Many of our SaaS partners come to us precisely because they lack dedicated data engineering. We provide the analysts and developers to stand up your tracking, reporting, and the follow-through work it leads to.

Ready to Grow?

Tell us where you want to be. We'll build the system to get you there.

Or book a strategy call