The Decision Most Agencies Face
At some point, every agency arrives here:
- use a platform like AgencyAnalytics
- or build a custom stack using tools like BigQuery and Looker Studio
It’s usually framed as:
“Which tool is better?”
That’s not the real question.
What Each Option Actually Represents
AgencyAnalytics
A managed reporting environment.
It provides:
- pre-built integrations
- standardized dashboards
- automated reporting
- client-facing outputs
It optimizes for:
speed and simplicity
Custom Data Stack
A composed data system.
Typically includes:
- ingestion (APIs, connectors)
- storage (warehouse)
- transformation (modeling layer)
- visualization (BI tools)
It optimizes for:
control and adaptability
The Real Tradeoff
AgencyAnalytics gives you:
outputs without ownership
A custom stack gives you:
ownership without shortcuts
Why AgencyAnalytics Works
It removes friction:
- fast setup
- minimal technical overhead
- immediate reporting
You can:
- connect sources
- generate dashboards
- deliver to clients quickly
For early-stage teams:
this is often sufficient
Where It Breaks
As requirements mature:
- definitions need to evolve
- data needs to be reconciled
- questions become more specific
You begin to hit constraints:
- fixed logic
- limited transformation capability
- inconsistent cross-platform definitions
At that point:
you’re working around the tool instead of within it
Why Custom Stacks Feel Heavy
Because nothing is abstracted.
You must:
- define the data model
- structure transformations
- enforce consistency
- maintain the system
Nothing is implied.
Everything is explicit.
What You Gain
With a custom stack:
1. Defined Logic
Sessions, conversions, attribution—explicit and controlled.
2. Consistency
Logic lives in one place—not repeated across dashboards or clients.
3. Historical Control
Raw data is preserved.
Definitions can evolve without losing the past.
4. Structural Scalability
As complexity increases, the system holds.
Where Agencies Get Stuck
They outgrow managed platforms…
…but haven’t built a system.
So they accumulate:
- multiple tools
- duplicated logic
- partial integrations
Now they have:
complexity without control
This Isn’t a Binary Choice
Most agencies move through stages:
Phase 1 — Managed Platform
Fast, simple, constrained
Phase 2 — Hybrid
Partial centralization
Fragmented logic
Phase 3 — System Ownership
Centralized definitions
Reusable logic
Consistent outputs
What Actually Matters
Not the tool—
But:
- where logic is defined
- how definitions are enforced
- whether outputs remain consistent over time
The Shift That Matters
From:
- “Which platform should we use?”
- “What’s easiest to implement?”
To:
- “Where is our data defined?”
- “Is this consistent across clients?”
- “Will this hold as we scale?”
Final Thought
Most agencies treat this as a tooling decision.
In reality:
it’s a decision about ownership of the system.
If This Feels Familiar
If your reporting:
- requires workarounds
- varies by platform
- becomes harder to maintain
You haven’t chosen the wrong tool.
You’ve reached the point where:
you need to decide whether to own the system.
Doug McCaffrey
Designs and maintains analytics systems that remain reliable over time.
Explore how this connects across your data estate: