Last 10 free Supermetrics migrations

Manage the data of 50+ clients without inheriting chaos

When every client lives in its own spreadsheet with its own logic, the real architecture lives in one person's head. The alternative: explicit layers in BigQuery, a multi-client pattern chosen on purpose, and onboarding that takes minutes.

Manage 50+ clients
Detrics

Before and after cleaning up the architecture

Before

  • A different manual setup for every new client, adding more noise to the chaos each time
  • Heavy dependence on the person who configures the bases and dashboards
  • Special requests that break the base schema and need attention
  • Nobody knows what can be touched without breaking a live report, so any change is a struggle
  • Scaling clients means scaling maintenance hours

After

  • Adding a new client comes down to requesting 'viewer' access to the data sources; everything replicates downstream
  • Our web app is built for collaborative work and removes that dependency
  • Flexibility to cover special requests with minimal extra work
  • I can change every client's dashboard, without breaking them, by making the edit in one place
  • With all the data centralized in BigQuery, your AI agents handle the maintenance
CASE STUDIES

Don't take our word for it, 1,025 agencies say it

G2 badge - Detrics 5-star reviews Reviews 4.9
(69 reviews)
Review us on G2

Effortless Data Integration with Detrics

I love how easy to use and fast Detrics is for integrating data. It's super easy to set up a custom database for a client in mere minutes. It's perfect for my needs. Nothing really, atleast for the stuff I use detrics with I use Detrics to combine data from Me…

T
Tom N.
December 23, 2025

The best tool to get data

The templates to create dashboards about diferents topics The limit of the queries quantity for the free version Detrics solves my need to have the data of many clients centralized in one place to make data-driven decisions.

A
Alan D.
September 12, 2025

The boost in productivity for me and my team has been amazing

First of all the easy it is to use and implementation. Really intuitive, great support and the best, no bugs! It was really fast and easy to integrate with all marketing platforms that I use. Detrics allows me to download al marketing metrics and dimensions I…

I
Ignacio G.
July 18, 2025

Simple Integration and Detrics Economy

I like how Detrics simplifies my report management for my agency. It makes data downloading easier and is very user-friendly. I love how easy it is to integrate and how quickly it responds. Additionally, it is cost-effective, which is a great benefit. I also a…

J
Joshua H.
May 13, 2025

Click-and-Refresh Solution

Integration eliminated our weekly manual updates. Connected our data sources through simple clicks and reports now refresh automatically. Completely Satisfactory: There wasn't a single element I found disappointing or lacking in the entire experience. Connecte…

L
Lola G.
May 6, 2025

All features performed great with no complaints

I tried dietrics since day one, and it improved so much! All features performed great with no complaints Nothing particul, its a great product for daily use. automation and reporting velocity

s
santiago d.
May 6, 2025

How to design it

Step 1

Pick the multi-client pattern

Every row Detrics writes to your warehouse carries _detrics_account_id: the ad account, Analytics property or e-commerce store the data came from. Add a master client table in BigQuery that ties each account id to its client and platform, and you have everything you need. When a contract demands hard isolation, a separate dataset per client adds its own IAM, billing and visibility.

Pick the multi-client pattern
Step 2

Design the base table groups

The schemas every client receives are built once and reused: daily campaign performance per platform, creatives for ads. Special requests live apart, named per client.

Design the base table groups
Step 3

Turn on sync-all

One transfer per source with every account, current and future. Adding a client stops being a project.

Turn on sync-all
Step 4

Consolidate with the three layers

A dashboard consumes exactly one master table. The blending lives in versioned SQL, and the BI tool only visualizes.

Consolidate with the three layers
FAQ

Multi-client architecture FAQ

Shared with a master client table: minimal transfers, new accounts get captured on their own, and onboarding takes minutes. Per client: hard isolation with IAM, separate billing and datasets each one can see. Hybrids also work: a shared base plus separate datasets for those who demand isolation.
A small BigQuery table that maps each _detrics_account_id to its client and platform. Since every row in your warehouse carries that field, the join works for any data point. Enrich it with monthly budget, fees or whatever matters to your agency: fresh, up-to-date raw data is the foundation, and on top you configure what your business needs.
By connecting Claude to the BigQuery MCP: ask for joins, new master tables and schema changes in natural language, and the agent runs them on your warehouse. We have a step-by-step tutorial to get it running in minutes.
GA4, Meta Ads and Klaviyo support syncing fields specific to each account. The column exists in the table, the accounts that have it fill it, and the rest stay NULL: BigQuery handles sparse columns natively. You can isolate the special case in a client-specific table group or add it to the shared table.
With per-client datasets you apply Google Cloud IAM permissions and billing per project. With a shared dataset, the separation happens in the consolidation layer: every query joins the master client table on _detrics_account_id and filters the accounts that belong.
By separating development from active, and knowing which change is additive (adding a metric) and which is breaking (changing a dimension redefines the table's grain). The architecture skill includes the full table of safe and risky changes.

The same recipe for client 5 and client 50

*No credit card required

  • Sync-all captures new accounts automatically
  • Table groups reused across clients
  • Free skills that design the architecture for you