---
title: "Where to Go: Choosing Your Porter Destination"
description: "Not sure where to send your data? This guide explains each Porter destination — Looker Studio, Google Sheets, BigQuery, and AI (Claude / ChatGPT) — and when to use each one."
url: https://help.portermetrics.com/es/articles/181-where-to-go-choosing-your-porter-destination
collection: "Getting Started"
updated: 2026-10-28
language: es
alternates: [en]
---

# Where to Go: Choosing Your Porter Destination

Not sure where to send your data? This guide explains each Porter destination — Looker Studio, Google Sheets, BigQuery, and AI (Claude / ChatGPT) — and when to use each one.

Porter connects your marketing data to five destinations. Each one is designed for a different workflow. This guide helps you pick the right one — or combine them.

## The five destinations at a glance

<table style="min-width: 75px;"><colgroup><col style="min-width: 25px;"><col style="min-width: 25px;"><col style="min-width: 25px;"></colgroup><tbody><tr><th colspan="1" rowspan="1"><p><strong>Destination</strong></p></th><th colspan="1" rowspan="1"><p><strong>Best for</strong></p></th><th colspan="1" rowspan="1"><p><strong>Technical level</strong></p></th></tr><tr><td colspan="1" rowspan="1"><p><strong>Looker Studio</strong></p></td><td colspan="1" rowspan="1"><p>Visual dashboards and client reports</p></td><td colspan="1" rowspan="1"><p>Beginner</p></td></tr><tr><td colspan="1" rowspan="1"><p><strong>Google Sheets</strong></p></td><td colspan="1" rowspan="1"><p>Flexible spreadsheets with live data</p></td><td colspan="1" rowspan="1"><p>Beginner–Intermediate</p></td></tr><tr><td colspan="1" rowspan="1"><p><strong>BigQuery</strong></p></td><td colspan="1" rowspan="1"><p>Data warehouse, SQL queries, large volumes</p></td><td colspan="1" rowspan="1"><p>Advanced</p></td></tr><tr><td colspan="1" rowspan="1"><p><strong>Claude / ChatGPT / Gemini (MCP)</strong></p></td><td colspan="1" rowspan="1"><p>Ask questions in plain English, instant analysis</p></td><td colspan="1" rowspan="1"><p>Beginner</p></td></tr><tr><td colspan="1" rowspan="1"><p><strong>Power BI</strong></p></td><td colspan="1" rowspan="1"><p>BI dashboards for Microsoft-heavy teams</p></td><td colspan="1" rowspan="1"><p>Intermediate</p></td></tr></tbody></table>

## Looker Studio (Data Studio)

**What it is:** Google's free reporting tool. Porter sends your data there as a live connector, so your dashboards update automatically.

**Best for:**

-   Agencies sharing reports with clients
    
-   Marketing teams that need visual dashboards (charts, scorecards, trend lines)
    
-   Anyone who wants a polished, shareable report without building anything from scratch (use our templates)
    
-   Non-technical users — no SQL or formulas required
    

**How data refreshes:** Every 12 hours by default (adjustable per data source in Looker Studio). Facebook Ads refreshes every 6 hours.

**How to start:** Connect a data source in Porter, copy one of our Looker Studio templates, and your data appears automatically.

## Google Sheets

**What it is:** Porter pushes your marketing data into a Google Sheets spreadsheet on a schedule you control.

**Best for:**

-   Custom calculations, formulas, and pivot tables on top of your ad data
    
-   Finance or ops teams that already work in spreadsheets
    
-   Combining Porter data with your own columns (budgets, targets, notes)
    
-   Feeding data into other tools (Zapier, AppScript, Looker Studio via Sheets)
    
-   Exporting raw data for deeper ad-hoc analysis
    

**How data refreshes:** You choose the schedule — hourly, daily, or weekly. Sheets keeps a rolling history of the data Porter pushes.

**How to start:** In Porter, create a new report and select Google Sheets as the destination. Choose your data source, metrics, and schedule.

## BigQuery

**What it is:** Google's cloud data warehouse. Porter loads your raw marketing data into BigQuery tables that refresh automatically every 12 hours.

**Best for:**

-   Data analysts and engineers who write SQL
    
-   Teams that need to join marketing data with CRM, revenue, or product data
    
-   Large volumes of data (millions of rows) that would be too slow in Sheets or Looker Studio
    
-   Powering other BI tools (Tableau, Power BI, Looker) from a single source of truth
    
-   Building custom data models or attribution logic
    

**How data refreshes:** Every 12 hours automatically. Porter appends new rows to your tables — it does not overwrite historical data.

**How to start:** In Porter, create a new report and select BigQuery as the destination. You'll need a Google Cloud project with BigQuery enabled.

## Claude, ChatGPT, and Gemini (MCP)

**What it is:** Porter's MCP (Model Context Protocol) connector lets any AI chat tool query your marketing data in real time. Ask questions in plain English and get instant answers, charts, and summaries.

**Best for:**

-   Marketers who want answers fast — no dashboard setup, no SQL
    
-   Generating client-ready reports on demand ("draft a weekly summary for Client X")
    
-   Cross-source analysis in seconds ("compare Meta Ads vs Google Ads ROAS this month")
    
-   Diagnosing performance drops ("why did our ROAS fall on Tuesday?")
    
-   Teams that already live in Claude, ChatGPT, or Gemini and want data there
    

**How data refreshes:** Live — Claude queries Porter in real time each time you ask. Ads, social & GA4 are near real-time. Shopify, HubSpot, Klaviyo, and ActiveCampaign refresh every 12 hours.

**How to start:** See our guide: "How to connect Porter to Claude (MCP)". The same MCP URL works for ChatGPT and Gemini.

**Included in your plan:** The MCP is included at no extra cost. No double billing if you already use the same account in Looker Studio or Sheets.

## Power BI

**What it is:** Microsoft's BI platform. Porter connects your marketing data to Power BI so you can build dashboards inside the Microsoft ecosystem.

**Best for:**

-   Organizations that standardize on Microsoft tools (Azure, Teams, SharePoint)
    
-   Teams that need to blend marketing data with ERP or business data already in Power BI
    
-   Analysts comfortable with Power Query and DAX
    

## Can I use more than one destination?

Yes — and many teams do. Once you connect a marketing account in Porter, it's available to every destination at no extra cost. A common setup: Looker Studio for client-facing dashboards, BigQuery for the data team, and Claude for quick daily analysis. You pay once per data source account, not per destination.

## Quick decision guide

-   **"I need to share a nice report with my client"**
    
    → Looker Studio
    
-   **"I want to do custom calculations on my ad data"**
    
    → Google Sheets
    
-   **"I need raw data for my data team or to combine with other systems"**
    
    → BigQuery
    
-   **"I just want to ask a question and get an answer right now"**
    
    → Claude / ChatGPT / Gemini via MCP
    
-   **"My company runs on Microsoft"**
    
    → Power BI