Mailjet SMS connector
Set up the Mailjet SMS connector in Kaivo: authentication, configuration, the 1 BigQuery tables it syncs, and answers to common questions.
Mailjet SMS connector pricing, tier and credits on kaivo.io
Kaivo is a fully managed data platform that syncs your Mailjet SMS data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your survey and email data instead of moving it.
What is the Mailjet SMS connector
Section titled “What is the Mailjet SMS connector”Sync your Mailjet SMS data into BigQuery with Kaivo to analyse SMS sending volume, delivery rates, and messaging costs over time.
| Category | Surveys & Email |
|---|---|
| Authentication | API key |
| Setup | Self-service |
Getting started with the Mailjet SMS connector
Section titled “Getting started with the Mailjet SMS connector”- Sign up for Kaivo and create a workspace.
- Connect your Mailjet SMS account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Mailjet SMS
Section titled “Authenticating Mailjet SMS”Authenticate with your Access Token.
| Field | Description |
|---|---|
| Access Token | |
| Your Mailjet SMS access token. |
|
Tables and columns synced from Mailjet SMS
Section titled “Tables and columns synced from Mailjet SMS”Kaivo syncs 1 table from Mailjet SMS into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
sms (12 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
cost__currency |
STRING |
The currency in which the cost is calculated |
cost__value |
FLOAT64 |
The value of the cost |
creation_ts |
INT64 |
Timestamp of when the SMS was created |
from |
STRING |
The sender’s information or number |
id |
STRING |
Unique identifier for the SMS |
sms_count |
INT64 |
The number of SMS messages included in the data |
status__code |
FLOAT64 |
The code representing the status |
status__description |
STRING |
Description of the status |
status__name |
STRING |
Name of the status |
to |
STRING |
The recipient’s information or number |
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
How the Mailjet SMS sync works
Section titled “How the Mailjet SMS sync works”After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Mailjet SMS supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won’t get duplicate rows.
Frequently asked questions
Section titled “Frequently asked questions”How long does the initial sync take for Mailjet SMS?
Section titled “How long does the initial sync take for Mailjet SMS?”It depends on how much history is in your Mailjet SMS account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they’re much faster.
Can I sync only some tables or columns?
Section titled “Can I sync only some tables or columns?”Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don’t select are never copied to your warehouse.
What happens when Mailjet SMS’s schema changes?
Section titled “What happens when Mailjet SMS’s schema changes?”New fields are never added automatically. You choose which fields to sync, so data you haven’t selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table’s sync mode: full-refresh tables always match what’s currently in Mailjet SMS, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Section titled “How do I handle GDPR or data deletion requests?”Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Mailjet SMS instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Mailjet SMS connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Mailjet SMS data
Section titled “Common use cases for Mailjet SMS data”SMS volume
Section titled “SMS volume”Use sms to track message volume over time.
Delivery tracking
Section titled “Delivery tracking”Analyse sms to monitor delivery and failures.
Cost analysis
Section titled “Cost analysis”Use sms data to understand SMS spend alongside your other channels.
Use Mailjet SMS data in your AI and BI tools
Section titled “Use Mailjet SMS data in your AI and BI tools”Once Mailjet SMS data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here’s how the most common destinations work with Mailjet SMS data.
Claude
Section titled “Claude”Use Kaivo’s MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Section titled “Power BI”Microsoft’s BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Section titled “Data Studio”Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
Section titled “Tableau”The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Section titled “Google Sheets”Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Connect via Power Query’s BigQuery connector. Setup guide →
Metabase
Section titled “Metabase”Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Mailjet SMS connector pricing and plan details.