Digital Marketing

Get your attribution back from the privacy wall

Server-side tracking, automated reporting, and ad-to-CRM attribution — first-party data you own, wired into the dashboards your team already runs on.

  • Server-side
  • First-party data
  • Automated reporting
  • Consent-aware

What we build

4 commitments, 1 senior bench.

Every tracking and reporting build ships against the same four constraints — no exceptions for launch dates or client demos.

01

First-party data you own

Server-side capture runs on infrastructure under your control — not a SaaS black box — so the data survives platform and browser changes.

Proof layer Every event and endpoint documented in a data-flow map you keep.

02

Consent-aware by design

Consent state travels with every event. We capture all compliant signal and never promise user-level tracking that privacy law forbids.

Proof layer Consent logic reviewable by your legal or compliance lead.

03

One number, reconciled

Spend, conversions, and revenue reconcile to one attribution model across ad platforms, CRM, and analytics — not five conflicting dashboards.

Proof layer Reconciliation checks run on every pipeline sync, with drift alerts.

04

Senior engineers, weekly demos

A named senior lead owns the outcome. You see working dashboards weekly, not a status deck monthly.

Proof layer Senior review on every merge; 30-day exit on embedded pods.

what we built
GA4 Tag Manager BigQuery Server-side GTM HubSpot Salesforce
Where it pays back

The signal-loss patterns we see in every marketing team.

  1. Workflow · 01

    Manual reporting eats the margin

    Staff spend 10 to 20 hours a month aggregating platform exports into client spreadsheets.

    API pipelines feeding live, automated dashboards

  2. Workflow · 02

    Signal loss hides true ROAS

    iOS privacy and cookie deprecation erase a third of conversions, so budget flows to the wrong channels.

    Server-side tracking on first-party data you own

  3. Workflow · 03

    Ad platforms and CRM never reconcile

    No one can say which campaigns produced qualified pipeline, only which produced clicks.

    Click-to-revenue integration into Salesforce or HubSpot

Use cases

Where marketing teams put us to work.

Eight workflows where rebuilt tracking and automation pay back first — each scoped, tested, and reconciled before it drives a budget decision.

  • Server-side tracking

    First-party events captured on infrastructure you control, bypassing ad blockers and routed to ad-platform APIs.

    Teams losing 30%+ of conversions
  • Automated client reporting

    API pipelines pull live data from Google, Meta, and CRM into dashboards — no more month-end spreadsheet marathons.

    Agencies burning billable hours
  • Ad-to-CRM attribution

    Click data linked to pipeline revenue in Salesforce or HubSpot, resilient to platform updates.

    B2B teams selling on long cycles
  • Marketing data warehouse

    A BigQuery foundation for blending spend, CRM, and analytics data and calculating custom metrics like true MER.

    Teams that outgrew SaaS dashboards
  • Lead scoring & routing

    Inbound leads enriched, scored against your ICP, and routed to the right rep with the context attached.

    Sales teams chasing cold leads
  • Outbound & nurture automation

    Prospecting, personalization, and follow-up sequences automated end to end — with deduplication so no contact is hit twice.

    Outbound teams stuck in lists
  • AI content operations

    On-brand content generation, approval workflows, and scheduling for teams running many brands at once.

    Agencies scaling without headcount
  • Spend-efficiency reporting

    Channel-level MER and CAC on one dashboard, so budget moves on reconciled numbers instead of platform-reported guesses.

    Leaders allocating real budget

Case studies

Proven solutions. Real-world impact.

How our teams solve tracking, reporting, and pipeline problems for marketing teams through strategy, engineering, and automation.

FAQ

The questions performance teams ask first.

Straight answers before the first call. If yours is not here, ask it on the call — we answer the hard ones first.

Ask the hard one

Why is Facebook reporting far fewer sales than our store shows?

Privacy updates like iOS 14.5 block the browser from sending data back. We fix this by implementing a parallel system for server-side tracking that sends first-party data directly to the ad platform's API.

Why build custom reporting instead of just buying a SaaS dashboard?

SaaS tools hit a hard ceiling when you need to blend complex CRM data with ad spend or calculate custom metrics. Custom operational automation gives you complete control over the data architecture.

How much time will automated reporting actually save my agency?

By eliminating manual export and spreadsheet work, automated data pipelines save an average of 2.5 hours per client report, every month.

Can you track the exact journey of every single customer?

No, and any vendor claiming they can is not being honest. Privacy regulations make perfect user-level tracking impossible. We capture all compliant data and use broad metrics like MER to guide strategy.

Who owns the tracking infrastructure after the build?

You do. Server-side containers, warehouse, dashboards, and documentation run in accounts you control, with a data-flow map handed over — no vendor lock-in and no dependency on us to keep it running.

Start the conversation

Seewhatyouradspend
is really doing

Tell us where your reported numbers stopped matching reality. We will rebuild the tracking.

30 minutes the engineer who leads delivery no deck, no pitch