---
title: "Connect Benchmark Email Classic and Google BigQuery - APIANT.ai"
description: "When \"New Contact\" fires in Benchmark Email Classic, your agent runs \"Create Row\" in Google BigQuery."
canonical: "https://apiant.ai/connect/benchmark-email-classic-to-google-bigquery"
---

# Connect Benchmark Email Classic and Google BigQuery

When **New Contact** fires in [Benchmark Email Classic](https://apiant.ai/connections/benchmark-email-classic), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Add Contact to List** in Benchmark Email Classic. Describe the whole flow and it is built, tested on every scenario and kept running.

Benchmark Email Classic **6** triggers Benchmark Email Classic **10** actions Google BigQuery **4** triggers Google BigQuery **10** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Benchmark Email Classic and Google BigQuery to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What Benchmark Email Classic and Google BigQuery can do together

### From Benchmark Email Classic to Google BigQuery

- When **New Contact** in Benchmark Email Classic then **Create Row** in Google BigQuery
- When **New Contact in Segment** in Benchmark Email Classic then **Create Rows** in Google BigQuery

### From Google BigQuery to Benchmark Email Classic

- When **New Job Completed** in Google BigQuery then **Add Contact to List** in Benchmark Email Classic
- When **New Row** in Google BigQuery then **Unsubscribe Contact** in Benchmark Email Classic

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with Benchmark Email Classic and Google BigQuery

## Triggers and actions 10 triggers · 20 actions

- Trigger

**Email Opened**

Triggers when a contact opens the selected email campaign.

- Trigger

**Link Clicked**

Triggers when a contact clicks a link in the selected email campaign.

- Trigger

**New Contact**

Triggers when a new contact is added to the selected Benchmark Email contact list.

- Trigger

**New Contact in Segment**

Triggers when a contact is added to the selected segment.

- Trigger

**New List**

Triggers when a new contact list is created in your Benchmark Email account.

- Trigger

**New Unsubscriber**

Triggers when a contact unsubscribes from the selected email campaign.

- Action

**Add Contact to List**

Adds a contact to a Benchmark Email contact list.

- Action

**Add list**

Creates a new contact list in Benchmark Email.

- Action

**Delete contact**

Deletes a contact from a Benchmark Email contact list.

- Action

**Find Contact**

Finds contacts by email address across all lists, returning each list membership found.

- Action

**Get contact**

Returns the details of one contact in a contact list, including its name, email, opt-in info and custom field values.

- Action

**Get email**

Returns the details of an email campaign, including its subject, sender, contact lists and content.

- Action

**List contacts**

Returns the contacts in a Benchmark Email contact list, optionally filtered by a search value or status.

- Action

**List emails**

Returns the email campaigns in the Benchmark Email account, optionally filtered and sorted.

- Action

**List lists**

Returns the contact lists in the Benchmark Email account.

- Action

**Unsubscribe Contact**

Unsubscribes a contact by moving them from a list to the account's Do Not Contact (master unsubscribe) list.

- Trigger

**New Job Completed**

Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.

- Trigger

**New Row**

Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.

- Trigger

**Query Job Completed (With Row Data)**

Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.

- Trigger

**Updated Row**

Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.

- Action

**Create Row**

Creates a new row of data in a table. Note: Does not create a job.

- Action

**Create Rows**

Creates new rows of data in a table (accepts line items). Note: Does not create a job.

- Action

**Delete Rows**

Deletes every row in a table whose match column equals the value you give.

- Action

**Find One Row**

Finds the first row in a table whose column equals the value you give.

- Action

**Get Rows for Job Completed**

Returns the result rows of a finished query job.

- Action

**Import Data**

Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.

- Action

**List Datasets**

Returns the datasets in a Google Cloud project.

- Action

**List Tables**

Returns the tables in a BigQuery dataset.

- Action

**Run a Query**

Runs a SQL query against a table in BigQuery.

- Action

**Update Row(s)**

Updates every row in a table whose match column equals the value you give, setting the columns you choose.

## Each app on its own

- [ **Benchmark Email Classic** Benchmark Email Classic is an easy-to-use email marketing tool, the original version that has helped...](https://apiant.ai/connections/benchmark-email-classic)
- [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery)

Reviews

## What our customers say

## More from Benchmark Email Classic

- [ **Benchmark Email Classic to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/benchmark-email-classic-to-hubspot)
- [ **Benchmark Email Classic to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/benchmark-email-classic-to-salesforce)
- [ **Benchmark Email Classic to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/benchmark-email-classic-to-slack)
- [ **Benchmark Email Classic to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/benchmark-email-classic-to-google-sheets)
- [ **Benchmark Email Classic to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/benchmark-email-classic-to-gmail)
- [ **Benchmark Email Classic to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/benchmark-email-classic-to-google-calendar)

## More into Google BigQuery

- [ **Gmail to Google BigQuery** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-bigquery)
- [ **ActiveCampaign to Google BigQuery** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-google-bigquery)
- [ **Airtable to Google BigQuery** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-google-bigquery)
- [ **Asana to Google BigQuery** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-google-bigquery)
- [ **ClickUp to Google BigQuery** ClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.](https://apiant.ai/connect/clickup-to-google-bigquery)
- [ **Discord to Google BigQuery** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-google-bigquery)

Questions

## Benchmark Email Classic and Google BigQuery, answered

###

### What can start an automation from Benchmark Email Classic?

Any of Benchmark Email Classic's 6 triggers in the catalog, including New Contact, New Contact in Segment, New List and New Unsubscriber. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Google BigQuery when something happens in Benchmark Email Classic?

Any of Google BigQuery's 10 actions, including Create Row, Create Rows, Get Rows for Job Completed and Update Row(s). Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Google BigQuery to Benchmark Email Classic?

Yes. When something happens in Google BigQuery, your agent can act in Benchmark Email Classic too. This page covers both directions: Google BigQuery's triggers and Benchmark Email Classic's actions are listed here as well.

###

### Do I have to build a connector for Benchmark Email Classic or Google BigQuery?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### Can my AI client use Benchmark Email Classic and Google BigQuery without building an automation?

Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
