Know exactly which marketing dollars drive revenue in 2 weeks.

Marketing Analytics Pipeline Sprint for Seed-to-Series A SaaS and growing DTC brands. Fixed scope. Fixed price. Delivered by a data engineer with 10+ years of production experience, including the full revenue and analytics stack at a live sports tech SaaS.

Currently booking Q2 2026 sprints. Limited to 2 engagements per month.

Sound familiar?

Confusing Data

Every platform tells a different story

Wasted Ad Spend

No way to know which dollars actually work

Disconnected Tools

Software that doesn't talk to each other

Slow Reporting

Weeks to get answers you still can't trust

What you walk away with

Accurate Reporting

One number. One truth.

Smarter Decisions

Know where to put the next dollar

Board-Ready Data

Numbers leadership can trust

Delivered in 2 Weeks

Not months. Not quarters.

In 2 weeks, I fix all of it.

Before: disconnected data sources with conflicting numbers. After: unified pipeline with a single source of truth.

Marketing Analytics Pipeline Sprint

$4,500 flat · 2 weeks · Delivered end-to-end

What you get

Unified data pipeline

Ingesting your ad platforms (Meta, Google, TikTok), payment data (Stripe or Shopify), and product analytics into a single warehouse.

Dashboards you can trust

CAC, LTV, payback period, and channel attribution dashboards you can actually trust.

Reconciled source of truth

No more debates about which number is "real."

Full documentation & handoff

Your team owns the system after I'm gone. Plus two weeks of support after delivery to tune anything that needs tuning.

Who it's for

  • Seed-to-Series A B2B SaaS founders and CTOs scaling paid acquisition
  • DTC e-commerce brands in the $1M-$20M range running meaningful ad spend
  • Teams who've tried to duct-tape this internally and know they need someone who does it for a living

Who it's not for

  • Pre-revenue companies (you don't have enough data yet)
  • Enterprises with in-house data teams (you need a full-time hire, not a sprint)
  • Anyone looking for hourly contractors
Sprint timeline: Week 1 is discovery and pipeline build, Week 2 is dashboards and handoff.

Data Pipeline Audit

$1,500 flat · 1 week

Find the gaps

Full audit of your current data stack

Get a roadmap

Concrete plan to fix what's broken

Your call

Build with me or run with it in-house

Why Position5

I'm Carlos Rodriguez. I built the Stripe billing, revenue reporting, conversion analytics, and ML pipelines at GMTM (sports tech SaaS) from scratch. Background: Accenture, BlueCross BlueShield of Tennessee, and CodeScience, where I delivered consulting work for Salesforce and Twilio. I've lived the "dashboards don't agree" problem. Now I fix it for other teams.

10+
Years in Production
Full Stack
Stripe to ML Pipelines
24→36%
Voter Turnout Impact
5
Shipped Products
Arcana Open-source real-time trading data pipeline (Coinbase API → quantitative trading bars)
Sigil Data enrichment layer for financial ML
QuinnFAQ Live on WordPress.org, AI-powered FAQ generation
OpenTN Non-partisan Tennessee campaign finance transparency platform

FAQ

How does the 2-week timeline work?

Week 1 is discovery, access, and pipeline build. Week 2 is dashboards, reconciliation, documentation, and handoff. You're never waiting on me.

What if my stack is unusual?

Odds are I've seen it or something close. Book the call and we'll find out in 10 minutes.

Do you sign NDAs?

Yes, standard mutual NDAs are fine.

How do I pay?

50% to start, 50% on delivery. Invoice from Position5, paid via Stripe or bank transfer.

What happens after the 2 weeks?

Optional $1,500/month retainer for ongoing maintenance, new source integration, and dashboard iteration. About half of clients take it.

Ready to stop guessing?

No pitch deck, no pressure. If it's a fit we'll talk scope. If it isn't I'll tell you that and point you somewhere better.

Limited to 2 sprint engagements per month.