OJCLabs

Growth

Growth Engineering.

Pixel integration, UTM architecture, and lifecycle automation. 90%+ attribution accuracy from first click to closed deal.

Robotic figures representing growth engineering systems, automation, and measurement infrastructure
6–12 weeksTypical engagement
5Core capabilities
10+Technologies
90%+Attribution accuracy

Most teams are running performance marketing on placebo metrics because the measurement layer was never built. The dashboard looks busy. The pipeline doesn't.

If you can't trace acquisition to source, you're just donating budget to the internet.


The problem.

What breaks before you reach out.

Campaigns fail because tracking breaks. Attribution is unreliable. Conversion funnels leak at every step. Teams optimize based on bad data. Every impression spent without proper measurement is an impression with unknown return.

Failure mode

  • Pipeline happens but source is unclear
  • Sales team doesn't feed CRM consistently
  • Ads run without clean conversion events
  • Long cycles break attribution
  • Reporting is screenshots, not systems

What they tried

  • Agencies managing ads without data discipline
  • UTMs used inconsistently across teams
  • CRM configured but never enforced
  • Dashboards that show clicks and impressions only
  • Junior marketers hired to 'scale' without infrastructure

Capabilities.

What we build.

Meta Ads and Google Ads campaign architecture

Pixel integration and server-side conversion tracking

UTM parameter frameworks and attribution modeling

Lifecycle automation (Brevo, Mailchimp, custom webhooks)

Funnel engineering and A/B testing infrastructure


Ready to fix your attribution?

We diagnose tracking gaps and rebuild the measurement layer so every decision can be traced.


How it works.

Engagement phases.

Measurement AuditWeek 1
  • Pixel and event audit across site and funnels
  • CRM and lead handling audit
  • Identify attribution gaps
  • Define conversion events and pipeline stages
Tracking ArchitectureWeek 2
  • Event taxonomy: names, parameters, ownership
  • Server-side tracking decision
  • CRM integration plan
  • Funnel map for short and long sales cycles
ImplementationWeeks 3–5
  • Tracking deployed and verified
  • CRM pipeline instrumented
  • Lead qualification logic and routing
  • Lifecycle sequences wired to behavioral triggers
  • Dashboard spec and first version built
Validation + CalibrationWeeks 6–8
  • QA events in real traffic
  • Debug attribution consistency across channels
  • Align reporting to pipeline outcomes, not vanity metrics
Performance LayerWeeks 9–12
  • Experiment design and prioritization
  • Conversion optimization loops
  • Creative testing logic and learning system
  • Iteration cadence established

What you get.

Deliverables and prerequisites.

What we deliver

  • Tracking spec document (event taxonomy + implementation plan)
  • Implemented tracking (client-side and/or server-side)
  • CRM-integrated attribution mapping with lead source consistency
  • Lifecycle automations: welcome, nurture, re-engage, handoff triggers
  • Dashboards showing pipeline by source, conversion rates by stage, response time metrics
  • Handoff training for internal team

What you need before we start

  • Access: ad accounts, analytics, tag manager, CRM, site code or GTM permissions
  • A defined conversion that matters, not 'engagement'
  • Sales pipeline stages documented (even if messy)
  • Agreement on tracking discipline: what gets tracked, how, and who owns it

Default: handoff with 14-day stabilization. Optional: optimization retainer focused on experiments and lifecycle tuning. We don't run monthly reporting without fixing measurement first.


Fit criteria.

Is this for you?

Teams spending effort across channels but blind on outcomes. 2–80 employees. Buyer is founder, head of growth, revenue ops, or marketing lead. Post-product validation, scaling acquisition or pipeline.

Signs you need this now

  • Multiple channels active with unclear attribution
  • Response time to leads is inconsistent
  • CRM stages don't reflect real customer journey
  • Repeat customers exist but lifecycle messaging is random
  • Decisions made from platform dashboards only, not pipeline data

Not a fit

  • They refuse to enforce tracking discipline
  • They want vanity metrics because it's emotionally easier
  • They have no sales process and won't build one
  • They want instant outcomes without fixing measurement first

Technology stack.

Tools used.

Meta AdsGoogle AdsGA4Server-side TrackingBrevoMailchimpUTM ArchitectureExperimentation FrameworksBI DashboardsCRM Integration

Related systems.

What comes next.

Infrastructure Systems

Fix site performance and routing before attribution. Broken infrastructure corrupts measurement.

View Infrastructure Systems

AI Automation Systems

Clean measurement enables automation to route leads, score, and trigger lifecycle flows.

View AI Automation Systems

All growth systems

See Content OS and Experimental Builds alongside Growth Engineering.

Growth systems overview →

Get started

Build your attribution system.

Stop guessing where conversions come from. We build measurement infrastructure that ties touchpoints to revenue.

Start a diagnosticAll growth systems