Supermetrics Implementation

Most marketing agencies run their data through platforms that bundle ingestion, transformation, and reporting into a single product they never really own. Decision Foundry implements and manages Supermetrics for marketing agencies, designing the full pipeline architecture, building the stack, and staying embedded as your long-term data partner to maintain, optimize, and evolve it as your business grows.

Talk to Our Team About Supermetrics

We'll design the right stack for your agency.

Or reach us directly at: sales@decisionfoundry.com

What We Hear from Agency Teams

Your current platform bundles connectors you never use and charges for them anyway
Every time a new ad platform launches you are waiting on someone else's roadmap
Clients want data delivered in different formats and your current setup cannot accommodate that
You cannot change how your data model is structured without rebuilding everything
The monthly bill climbs with every new client onboarded and the unit economics no longer make sense
Your data team is spending time maintaining workarounds instead of building capability

Our Supermetrics Implementation Services

Supermetrics Assessment and Architecture Design

We review your current data setup, source list, client structure, and reporting requirements. We design the right stack architecture for your situation and leave you with a clear delivery plan before any build begins.

Supermetrics Implementation

Full connector configuration, source mapping, scheduling setup, and API management. We surface and resolve awkward sources and undocumented workarounds before they become production problems.

ETL Build and Data Standardization

dbt models that build your data integration logic cleanly and with full documentation. Cross-channel field alignment, metric standardization, and any custom transformations your reporting needs.

Snowflake Setup and Optimization

Schema design built around your client structure with clear data separation between accounts. Compute cost controls built in from the start, not retrofitted later.

Dashboard Build and Visualization Migration

Existing reports rebuilt in your chosen BI tool, matched to what your clients already rely on and improved from there.

Documentation, Training and Handoff

We build the documentation, run the training, and define a support arrangement so ownership of the stack is realistic, not theoretical.

Ongoing Stack Management

Post-launch support covering connector maintenance, API changes, new source additions, and platform updates.

What Supermetrics Does and Why It Fits Agencies

Supermetrics is a data ingestion platform built for marketing data. It pulls from paid media, organic, and owned channels via API and routes clean, structured data into your pipeline. It has over 100 native connectors covering every major advertising and analytics platform including Google Ads, Meta, TikTok, LinkedIn, DV360, The Trade Desk, and GA4.

For agencies, the appeal is straightforward. Supermetrics does one thing very well: it gets marketing data out of source platforms and into wherever you need it. It does not try to be your warehouse, your transformation layer, or your reporting tool. That means you pair it with purpose-built tools for each stage of the pipeline and you own the result.

The Full Stack We Can Implement

Supermetrics is the ingestion layer. Around it, we design and build a complete modular pipeline using the tools that best fit your existing setup, team capabilities, and client requirements. The layers below represent common choices, not fixed ones.

  1. 01
    SupermetricsIngestion

    Our most recommended ingestion layer for agencies, but depending on your source list and data volumes, we may recommend Fivetran, Airbyte, or another connector tool. We assess fit during discovery.

  2. 02
    Amazon S3Staging

    A reliable staging option, but we work with Azure Blob Storage, Google Cloud Storage, or other staging environments depending on your cloud infrastructure.

  3. 03
    dbtTransformation

    Our default transformation layer, version-controlled, testable, and well-suited to agency data models. We also work with alternatives depending on your team's existing tooling.

  4. 04
    SnowflakeWarehouse

    Our most recommended warehouse for agencies. We also implement BigQuery, Redshift, and other warehouse options depending on your cloud environment and existing infrastructure.

  5. 05
    Looker Studio / Tableau / Power BIVisualization

    Any BI tool your clients already use. We build and migrate dashboards into whichever tool makes sense for your agency.

The stack is modular by design. As your needs evolve, we help you evaluate, swap, or upgrade any layer, ingestion, transformation, warehouse, or visualization, without rebuilding everything from scratch.

Tired of paying for a platform that controls your data model and your roadmap? We will assess your current setup and design the right Supermetrics stack for your agency in one working session.

Book a Free Assessment

How We Deliver It

STEP 01

Discovery and Architecture Design

We audit your current data setup including sources, data model, live reports, client structure, and cost breakdown. We design the replacement stack layer by layer because what we find in the audit usually changes the design.

STEP 02

Supermetrics Setup

Connectors for every source you need, schedules configured, data routed into staging. We handle awkward sources, undocumented workarounds, and platforms with non-standard APIs.

STEP 03

Transformation and Modelling

dbt models built cleanly from the ground up including field alignment, cross-channel joins, business logic, and metric standardization. If your previous setup had data quality issues, this is where we fix them properly.

STEP 04

Warehouse Build

Snowflake schemas designed around your client structure with clear data separation. Compute cost controls configured from day one so your warehouse bill scales predictably with your client base.

STEP 05

Dashboard Build and Handoff

Reports rebuilt in your chosen BI tool and validated against your existing setup. Your team gets full documentation, training, and a defined support arrangement.

Why Decision Foundry

We have run this at agency scale

We have migrated agencies managing multi-client, multi-channel reporting at real scale. Client data separation is almost always messier than it appears mid-migration, schemas that seemed clean turn out to have cross-client field collisions. Catching that before the Snowflake build saves weeks.

Agencies have a different data problem

You need clean separation between client data, reporting that flexes for different stakeholders, and a pipeline that absorbs a new client without being rebuilt from scratch. We design for that from day one.

Vendor-neutral on the full stack

Supermetrics is the right ingestion layer for most agencies. If your source list or data volume points elsewhere, we will tell you that too. We recommend what fits your situation, not what is easiest for us to implement.

Ownership with documentation

You end up owning the stack. Ownership means your team needs to know what they are running, so we build the documentation and training to make that realistic.

20 years of enterprise data migrations

Decision Foundry has been delivering data migrations and pipeline builds for over two decades. We know exactly what goes wrong mid-migration and how to prevent it.

A clear picture of your setup and the right architecture for your agency.

Whether you are moving off MCI, rebuilding a fragmented pipeline, or setting up Supermetrics for the first time, the starting point is the same.

Book a Free Supermetrics Assessment

Supermetrics Implementation FAQs

Is Supermetrics always the right ingestion layer for agencies?

For most agencies, yes. It has the broadest native connector coverage for marketing data sources and is specifically designed for the agency use case. If a different tool is a better fit, we will recommend that instead and explain why.

How does this stack compare to staying on an all-in-one platform?

The key difference is ownership and flexibility. With a modular stack you own every layer. If a better warehouse, transformation tool, or BI tool comes along, you swap it without rebuilding everything. With an all-in-one platform, the vendor controls your data model, your roadmap, and your pricing.

How long does a Supermetrics implementation take?

A focused implementation connecting your core sources, building the transformation layer, and migrating existing dashboards typically takes 8 to 14 weeks. Larger setups take longer. We scope this accurately during the discovery and architecture phase.

Will we lose our historical data?

No. Historical data migration into Snowflake is a core part of the implementation. Nothing goes live until it has been tested and validated against your existing data.

Do we need an internal data engineering team to manage this?

No. We provide full documentation, training, and a support arrangement so your team can manage the platform independently. The goal is to give you ownership without leaving you on your own.

What BI tools does this stack support?

Any. The modular architecture means you choose your reporting layer. We build and migrate your dashboards into whichever tool makes sense for your agency.

What happens when a connector breaks or an API changes?

We handle it as part of our ongoing stack management service. API changes, connector updates, and new source additions are covered so your team is not maintaining infrastructure it did not build.