Attribution, experiments, lifecycle

Numbers, not
narratives.

Attribution that survives iOS 18 privacy. Server-side GTM, Segment, RudderStack. A/B platforms (Statsig, GrowthBook). Lifecycle in Iterable, Customer.io, Braze. AI-creative pipelines for paid social.

Get a quote → What we ship
FocusB2B SaaS + Services
AttributionServer-side, MMP-ready
ExperimentsBayesian by default
FUNNEL Awareness · 142K Visits · 38K Signups · 4.2K Trial · 980 Paid · 220 ARR · 12 MO $12.4M ↑ 142% JanMarMayJulSepNov
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What we ship

Six concrete deliverables.

Every Growth Engineering engagement maps to a specific deliverable below. We commit to it in the SOW, demo it weekly, and you own the result.

01

Attribution

Server-side GTM. Segment / RudderStack pipelines. MMP integration. Multi-touch + last-touch + holdouts.

Growth Engineering
02

Experimentation

Statsig, GrowthBook, LaunchDarkly, Optimizely. Power analysis, sequential testing, eval automation.

Growth Engineering
03

Lifecycle

Iterable, Customer.io, Braze, Klaviyo. Trigger-based journeys, churn predictors, win-back flows.

Growth Engineering
04

AI-creative

LLM + image-gen pipelines for paid social. Variant generation, brand-safe filtering, ROAS tracking.

Growth Engineering
05

Analytics

GA4, Mixpanel, Amplitude, June. Funnels, retention cohorts, North-Star dashboards.

Growth Engineering
06

SEO infra

Technical SEO audit, schema markup, programmatic SEO templates, content velocity.

Growth Engineering
The stack

The tools we reach for.

Solid line: what we use every day. Dashed line: what we reach for when the brief justifies it. We will work in your stack if you have a strong reason; otherwise these defaults serve us well.

Segment RudderStack Statsig GrowthBook Iterable Customer.io GA4 Mixpanel HubSpot Hightouch Amplitude June Braze Klaviyo LaunchDarkly Optimizely Server-side GTM PostHog Census
How we engage

Four steps. Real demos every Friday.

From signed SOW to first demo is one week. No discovery loops that bill for months without showing software. No silent stretches between status decks.

01

Audit

Current stack, attribution accuracy, experiment hygiene. Output: priorities + quick wins.

Week 0-2
02

Foundation

Server-side tracking, identity resolution, semantic event taxonomy.

Week 1-4
03

Experimentation

Stat-rigorous A/B platform, holdouts on at least one channel, first three tests live.

Week 3-8
04

Retainer

Weekly experiment review, monthly attribution audit, quarterly KPI deep-dive.

Ongoing
They rebuilt our attribution server-side and we cut wasted ad spend by 31%. Our experiment velocity went from 1 per quarter to 4 per month.
CMO · B2B SaaS · $20M ARR
Frequently asked

The questions buyers ask first.

Why server-side tracking matters now?
iOS 18 privacy + ad-blockers + cookie deprecation broke client-side analytics. Server-side gives you data ownership, durability, and PII control. It is the default in 2026.
How do you handle attribution?
Multi-touch on top, last-touch as a sanity check, holdout groups for ground truth. We will tell you when to trust which one.
Statsig or LaunchDarkly?
Statsig for stat-rigorous experimentation with bundled analytics. LaunchDarkly for feature flags and progressive delivery. Often both, scoped differently.
Can you do paid acquisition execution?
We build the infrastructure and the measurement. Media buying is a different discipline; we will pair you with media partners we trust if you do not have one.

Trust the funnel.
Test the bets.

Senior growth engineer reviews your current attribution and replies in two business days with concrete fixes.

Get a quote → All 12 services
At a glance
Default CDPSegment
Default experimentsStatsig
Default lifecycleIterable
AttributionServer-side, MMP-ready
Response time< 1 business day

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“
Their attribution work caught $4M of annual spend going to channels with zero LTV. We re-allocated and ROAS doubled.
P
K. ParkVP Growth, Series B Consumer
Frequently asked

Quick answers.

The questions buyers in this service ask in week one.

Which attribution model?+

Last-touch is misleading. We default to data-driven attribution with shapley values or Markov chains. Lift studies for the channels that matter.

Server-side or client-side tracking?+

Server-side for production. Reduces ad-blocker loss, gives you control over the data, and works with ATT and Privacy Sandbox.

A/B testing infrastructure?+

Built on Statsig, GrowthBook, or Optimizely. Custom when statistical sophistication or feature flagging integration matters.

Lifecycle automation?+

Customer.io, Iterable, Braze. Workflow design, segmentation, event modeling. We build the event taxonomy as the foundation.

CDP integration?+

Segment, RudderStack, Hightouch. CDP-as-pipeline pattern with the warehouse as source of truth.

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