Growth Engineering

Turn product usage into revenue. We combine analytics, experiments, and RevOps automation to improve activation, retention, and monetization without guesswork.

Overview

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.

Why it matters

  • Clarity on activation, retention, and monetization drivers.
  • Fewer “big bangs”, more small wins that compound.
  • Automation that connects product usage to revenue ops.
  • Decisions based on live metrics, not opinions.

Who it’s for

  • Founders seeking PLG motion or hybrid sales-assisted growth.
  • Teams with traffic but poor activation/retention.
  • Products expanding to new regions (Asia, North America, Europe).
  • Orgs needing product, data, and RevOps working as one loop.

Our Process

1) Instrument

Event models, funnels, and cohorts. Define north-star & guardrails; ensure tracking quality and privacy compliance across web and back-end events.

2) Experiment

Hypotheses, A/Bs and multi-armed tests on onboarding, paywalls, pricing displays, and features. Ship small, read the metrics, iterate weekly.

3) Automate

Lifecycle messaging and RevOps flows: trials → paid, PQL/PLG signals → sales, churn rescues. Connect product events to CRM and marketing automation.

4) Scale

Package what works: roll out winning variants, codify playbooks, and build dashboards that keep teams focused on the few metrics that matter.

Metrics & Stack

Core Metrics

  • Activation rate, time-to-value, Day 1/7/28 retention
  • Feature adoption, task success, CSAT
  • Conversion, ARPU/ARPA, expansion, churn
  • PQL/PLG signals and sales assist rate

Typical Tooling

  • Analytics & CDP: event pipelines, warehouse, BI
  • Experimentation: A/B platforms or in-house flags
  • Lifecycle & CRM: marketing automation + CRM sync
  • Attribution & paywalls: server + client integrations

Deliverables

  • Event model, tracking plan, and dashboards
  • Experiment backlog with hypotheses & impact sizing
  • Pricing & packaging tests (where applicable)
  • Lifecycle automation & RevOps orchestration
  • Runbooks: reading tests, rolling out winners
  • Executive summary of results & next-quarter plan

Global Talent, Unified Vision

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.

Ready to engineer growth?

Share your target metric: we’ll propose a plan, experiments, and your first sprint.

Frequently Asked Questions About NexAvenir

Growth Engineering combines analytics, automation, and experimentation to accelerate user acquisition, retention, and revenue. It turns product data into actionable growth levers.