Industry
AI-Driven SaaS Platform
Region
United States
Team Size
50–150 Employees
Trial Volume
Thousands of Trials / Month
Platform
HubSpot + Custom Event Stack
Delivery
14 Weeks · 5 Phases
Trial-to-paid conversion rate improvement after behavioral scoring was activated
100%
Full-funnel visibility — every trial event captured, structured, and reportable
18+
Custom event types defined and instrumented across the full user lifecycle
Zero
Manual reporting — real-time dashboards replaced weekly spreadsheets entirely
48 hrs
Time from PQL identification to sales outreach — down from no system at all
Day 1
Revenue attribution active — every paid conversion tied to the exact user journey that drove it

Challenge vs. Solution

What Was Broken — and What We Replaced It With

✕ Before — The Challenges 6 Problems
No structured event tracking existed — account creation, feature usage, and payment completion were either partially captured or stored in inconsistent formats with no common schema.
Trial-to-paid conversion was a black box — the team could not measure conversion rates, time-to-convert, or where users dropped off during the 14-day trial window.
Event data was fragmented and non-reportable — no centralized dashboards existed to surface user progression, revenue generation, or subscription behavior in real time.
No behavioral intelligence layer — marketing and sales had zero visibility into which users were high-intent product-qualified leads versus users who would churn without ever upgrading.
Revenue attribution was impossible — there was no mechanism to connect a paid conversion back to specific product interactions or features that influenced the upgrade decision.
The platform could not scale insight with growth — the tracking infrastructure was ad hoc, with no naming conventions, no extensible property structure, and no CRM compatibility.
✓ After — What We Built 6 Fixes
We designed a custom event architecture with 18+ event types — covering acquisition, engagement, conversion, and expansion — each with standardized naming conventions and consistent data structures.
We built a structured trial-to-conversion funnel tracking every stage from account creation through subscription lifecycle, with defined milestones, time-to-convert measurement, and cohort-based drop-off analysis.
We deployed real-time dashboards for trial performance, conversion funnel analytics, and revenue tracking — eliminating weekly manual reports and giving leadership same-day pipeline visibility.
We implemented a dynamic product-qualified lead scoring model based on event frequency, high-intent signals, and feature adoption depth — so sales could prioritize the users most likely to convert.
We built a revenue intelligence layer that tied each conversion event to monetary value — enabling per-user revenue attribution, cohort revenue tracking, and direct measurement of which features drove upgrades.
We delivered a modular, CRM-compatible event framework with extensible property structures and HubSpot integration — built to scale with new features, new plans, and new markets without re-architecture.

What We Did

Five Phases That Built One Coherent Data Engine

Discovery

Audited the Platform and Mapped Every Missing Signal

We ran a structured audit of all existing tracking touchpoints to identify gaps — specifically, the user actions with the highest revenue correlation that were not being captured. We then defined a complete event taxonomy, naming convention, and property schema before writing a single line of tracking code.

Event Taxonomy Gap Analysis Data Schema Design HubSpot Audit
Instrumentation

Built the Custom Event Architecture Across the Lifecycle

We implemented 18+ custom events spanning acquisition (account creation, trial activation), engagement (feature usage, session depth, gamification), conversion (upgrade attempt, payment success), and expansion (plan changes, add-ons). Every event was enriched with contextual properties — plan type, revenue value, user segment, and feature metadata — enabling multi-dimensional slicing.

HubSpot Custom Events Event Property Enrichment API Integration JavaScript SDK
Funnel Engineering

Engineered the Trial-to-Paid Conversion Funnel End-to-End

We structured a five-stage funnel — Account Creation → Trial Start → Engagement → Conversion → Subscription Lifecycle — with defined milestones at each gate. We enabled cohort-based analysis so the team could compare conversion rates for users who hit key engagement milestones at day 3 versus day 10 of their trial period.

HubSpot Funnels Cohort Analysis Lifecycle Stage Mapping Drop-off Tracking
Intelligence Layer

Activated Product-Qualified Lead Scoring and Revenue Attribution

We built a dynamic PQL scoring model that weighted event frequency, high-intent signals (pricing page visits, upgrade attempts, feature depth), and plan-type behavior to surface the users most likely to convert. Simultaneously, we connected each conversion event to monetary value — giving the business clear revenue attribution per user journey and per feature.

HubSpot Lead Scoring PQL Modeling Revenue Attribution HubSpot Workflows
Reporting & Activation

Delivered Real-Time Dashboards and Handed Over a Self-Serve System

We built a suite of live dashboards — trial performance, conversion funnel analytics, revenue by cohort, and feature adoption heatmaps — all feeding directly from the event layer with no manual exports. We then conducted team training so product, marketing, and sales could run their own analyses independently, without Twopir involvement.

HubSpot Dashboards Custom Reports Looker Studio Team Enablement

Before this engagement, we had no idea which features were actually driving upgrades. We assumed it was the AI core, but the data showed it was a secondary workflow tool that most of our team had barely even noticed. That kind of insight is only possible when your event infrastructure actually works.

— Twopir Project Lead · US AI SaaS Platform · 2024

Key Outcomes

Six Things That Changed — With Numbers

Trial-to-paid conversion improved threefold after behavioral scoring was activated.

Sales focused on the right users at the right moment, instead of blasting the entire trial list equally.

18+

Custom events now capture every critical user interaction across the lifecycle.

Acquisition, engagement, conversion, and expansion events — each enriched with plan type, revenue value, and feature metadata.

100%

Full trial-to-paid funnel is visible and reportable for the first time.

Every drop-off point, every conversion milestone, and every cohort performance metric is now tracked in real time.

48 hrs

Product-qualified leads now reach sales within 48 hours of hitting high-intent signals.

Before this system, high-intent users were invisible until they churned — or happened to contact support.

Zero

Manual weekly reporting eliminated — the team runs live reports independently.

Product, marketing, and sales each have their own dashboards and can answer their own data questions without engineering tickets.

Day 1

Revenue attribution is active from the moment a trial converts — no retro-fitting required.

The platform now knows exactly which features, cohorts, and journeys generate revenue — a capability it had never had before.

Running a SaaS Trial Model Without Full-Funnel Data?

We'll audit your current event tracking, identify your highest-value conversion gaps, and deliver a prioritised findings report — in 5 business days, at no cost and no commitment. We cover US EST, UK GMT, and AEST time zones for responsive delivery.


Technologies Used

The Tools and Techniques Behind This Engagement

HubSpot Marketing Hub HubSpot Sales Hub HubSpot Custom Events API HubSpot Lead Scoring HubSpot Workflows Breeze AI Looker Studio JavaScript SDK REST API Integration Cohort Analytics Custom Dashboards Revenue Attribution Modeling PQL Scoring Framework

Turn Your Trial Data into a Growth Engine

Twopir has spent 12+ years building the analytics and CRM infrastructure that SaaS companies need to grow predictably. 500+ clients across the US, Canada, UK, UAE, Australia and New Zealand trust us to make their data work.

12+ Years · 500+ Clients · Salesforce Partner · HubSpot Partner · US · Canada · UK · UAE · Australia · New Zealand