02 · Foundation
Data Foundation
Trust Your Data
We connect your ad platforms, CRM, and billing systems into one validated model, so client reporting stops disagreeing with itself.
The reality
Every Platform Defines "Conversion" Differently
Most agencies don't have a data shortage. They have a trust shortage.
- Google Ads, Meta, and the CRM each report different numbers for the same campaign
- A metric changed, and nobody remembers why
- Every new client account means another spreadsheet built from scratch
- Account managers reconcile exports by hand before every client call
But fixing it feels out of reach because:
- It feels like it requires a full platform migration
- Nobody's sure which number is "correct" as a starting point
- A past consolidation attempt stalled halfway through
- IT or ops is wary of an outsider touching live systems
This service is not
- A data warehouse sales pitch
- A rip-and-replace of your current stack
This is
- A connected, validated data model behind your existing tools
- One definition of spend, leads, and ROAS across every platform
You don't need a new platform. You need one number everyone agrees on.
The real problem
The Real Problem This Solves
Most reporting problems trace back to the same root:
- Spend, leads, and conversions are defined slightly differently per platform
- Data prep is manual, so it's redone slightly differently each time
- Nobody owns the definitions, so they quietly drift over time
- A schema or export format changes, and nothing downstream notices
- Client account volume outpaces the manual process
The result: two account managers can report different ROAS for the same client, and both be technically right.
“A trustworthy number, calculated once, beats five slightly-different numbers calculated by hand.”
The gap between owning the platforms and trusting what they tell you
Our approach
Our Data Foundation Approach
Connect what you already run. Don't replace it.
Step 1 · Connect Every Source
Ad platforms, CRM, and billing systems get connected on a schedule, not a manual pull.
- Google, Meta, LinkedIn, TikTok Ads
- CRM and pipeline data
- Billing and retainer data
What you get
What You Get from the Data Foundation Engagement
- A connected data model spanning every platform and client account
- One documented definition for every core metric
- Far less manual reconciliation before every report
- A foundation the reporting and AI work above it can actually trust
Most importantly, two people asking for the same metric get the same answer.
Book a Reporting DiagnosticWho this is for
- Reports disagree depending on who pulled them
- You're adding client accounts faster than your process can handle
- Nobody's independently checked whether your data model holds up
- You've tried fixing this with spreadsheets and hit a wall
Especially valuable for
How this connects
How this connects to what comes next
Data foundation work is what everything else stands on.
Builds on
Leads to
The smartest way to start
You Don't Start by Rebuilding Every Pipeline
You start with a Reporting Diagnostic.
In this session, we
- Look at where your current numbers actually disagree
- Trace at least one discrepancy to its root cause
- Scope what a validated model would take to build
- Tell you honestly if a smaller fix would do
Not sure if Data Foundation is the right place to start?
That's exactly what the Reporting Diagnostic is for.
Book a Reporting Diagnostic