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Service 05

MarTech Engineering

Connected marketing systems where data flows and reporting is automatic.

A sales team working the floor with a performance board in view

Overview

Marketing teams drown in tools that do not talk to each other. We engineer connected marketing systems where data flows, reporting is automatic, and campaign decisions are driven by intelligence instead of guesswork.

In scope

  • Marketing stack audits and consolidation.
  • CRM, ads, and analytics integration.
  • Automated reporting and attribution dashboards.
  • AI-assisted content and campaign operations.
  • Lead routing, scoring, and follow-up automation.

Our point of view

Most marketing teams are not short on tools. They are short on plumbing. The stack has a CRM that does not trust the ad platform, a reporting layer nobody believes, and attribution decided by whoever argues loudest. We treat marketing as an engineering problem: one connected system, one source of truth, and reporting that produces the same number no matter who pulls it. When the data is trusted, the spend defends itself.

Who this is for

You will recognize yourself in at least one of these:

01

You spend real money on ads and cannot say with confidence which campaigns produce revenue.

02

Reports are assembled by hand every month, and every platform tells a different story.

03

Leads arrive, then sit. Follow-up depends on memory, and speed-to-lead is measured in days.

04

Your agency reports clicks. Your CFO asks about revenue. Nobody is translating.

What we deliver

The Stack Audit

Every tool, every integration, every gap, and what each one actually costs you.

The Connected Pipeline

Ads, CRM, site, and analytics wired together with consistent tracking end to end.

The Revenue Dashboard

One automated reporting layer from spend to revenue that replaces the monthly copy-paste ritual.

Lead Flow Automation

Routing, scoring, and follow-up sequences that respond within minutes.

The Attribution Model

Honest, documented, and agreed, so budget conversations run on evidence.

The first 30 days

Week 1

Stack audit and tracking review. Where data enters, where it dies, what is double-counted.

Week 2

Tracking fixed at the foundation: conversions, UTMs, CRM fields, and naming conventions standardized.

Week 3

Pipeline connected and the revenue dashboard assembled on live data.

Week 4

Lead flow automation live. First spend review run on numbers everyone accepts.

What we measure

Every initiative carries a metric agreed before we build:

Speed to lead.
Cost per qualified opportunity.
Marketing-sourced revenue.
Reporting hours removed per month.
Data consistency across platforms.

An illustrative system

Spend to revenue, one pipe

Spend to revenue, one pipe

Illustrative workflow
SALES-READYNURTURERE-SCOREBUDGET DECISIONSAd platformsPaid entry pointOrganicSearch + contentReferralPartners + word of mouthUnified tracking layerOne naming conventionCRM recordSource intactLead scoringDecision branchInstant routing + alertSales-ready pathSequence engineNurture pathOpportunity stagesPipeline hygieneClosed revenueWon, with sourceRevenue dashboardOne number, everywhere
Illustrative pattern.

Honest edges

Where this service stops:

  • We do not run your ads or replace your agency. We build the system that finally shows whether the ads are working.
  • Attribution is a model, never a perfect truth. We will give you an honest one and document its assumptions.
  • If your offer or sales process is the problem, better plumbing will only prove it faster. We will say so.

Questions we get

We already have an agency. How do you fit?

Cleanly. Agencies optimize campaigns inside the system; we build the system. Most agencies do better work once our tracking and reporting exist, and the ones that object to measurement are telling you something.

Can you work with our existing CRM?

Almost always. The audit determines whether your current stack can carry the load. We migrate only when staying costs more than moving, and the business case is in writing.

How fast until reporting is automated?

The dashboard typically runs on live data by week three. The discipline is resisting the urge to skip week two, because automated reporting on broken tracking just delivers wrong numbers faster.