1) Instrument
Event models, funnels, and cohorts. Define north-star & guardrails; ensure tracking quality and privacy compliance across web and back-end events.
Turn product usage into revenue. We combine analytics, experiments, and RevOps automation to improve activation, retention, and monetization without guesswork.
Growth isn’t a campaign: it’s an engineering discipline. Our pod instruments the product, designs experiments, and builds lifecycle automation so every release can be measured and improved. We align product, data, and revenue motions around one truth: outcomes.
From onboarding flows to pricing & packaging, we prioritise the highest-leverage changes, prove impact quickly, and codify what works into the product.
Event models, funnels, and cohorts. Define north-star & guardrails; ensure tracking quality and privacy compliance across web and back-end events.
Hypotheses, A/Bs and multi-armed tests on onboarding, paywalls, pricing displays, and features. Ship small, read the metrics, iterate weekly.
Lifecycle messaging and RevOps flows: trials → paid, PQL/PLG signals → sales, churn rescues. Connect product events to CRM and marketing automation.
Package what works: roll out winning variants, codify playbooks, and build dashboards that keep teams focused on the few metrics that matter.
We’re a remote-first studio with teams across Asia, North America, and Europe. Distributed by design, we collaborate across time zones to keep momentum high and align growth tactics with local market realities and global scale.
Share your target metric: we’ll propose a plan, experiments, and your first sprint.
Growth Engineering combines analytics, automation, and experimentation to accelerate user acquisition, retention, and revenue. It turns product data into actionable growth levers.