Home > Destinations > Snowflake > Pinterest Organic

Connect Pinterest Organic to Snowflake

Connect Pinterest Organic to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a Pinterest Organic API pipeline.

Pinterest Organic export job

First sync scheduled

Pinterest Organic Selected accounts

Configured job

Snowflake Destination table

Account Pinterest Organic · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Pinterest Organic data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Pinterest Organic data in PostgreSQL

Bring all your Pinterest Organic data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

Pinterest Organic Social data

INaccounts PMprofiles CUposts BLmedia

Catchr pipeline IN PM CU Extract · normalize · load

Snowflake catchr_data.Pinterest Organic_raw

TableScopeStatus

accountsSelectedReady

profilesSelectedReady

postsSelectedReady

mediaSelectedReady

Data freshness

Keep your Snowflake tables up to date

Automatically sync new data from Pinterest Organic so every dashboard, model, and report works with fresh information.

Pinterest OrganicConfigured account

SnowflakePinterest Organic Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated profiles102 appended Warehouse up to date

Analysis

Unify Pinterest Organic with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · Engagement Social

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

Snowflake model business_360 Unified

FieldFrom

customer_idCRM

Engagementaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Pinterest Organic metrics and dimensions available in Snowflake

Access 20 metrics and 43 dimensions from Pinterest Organic connectors including Impressions, Engagement, Engagement Rate, Pin Click, Outbound Click, Save, Date, Pin Title, Pin ID, Pin Link, Pin Format, Pin Media Type, Owned Content, Source and many more...

Metrics availables

Dimensions availables

View all Pinterest Organic Metrics metrics and dimensions

Connect Pinterest Organic to Snowflake in minutes

Move your data from Pinterest Organic to Snowflake with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Pinterest Organic account

Authenticate your Pinterest Organic account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

Pinterest Organic 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields

Authentication Choose one

Password

Key pair

Host Required

xy12345.eu-west-1

Username Required

catchr_service

Database Required

MARKETING.RAW

Private key passphrase Optional

••••••••••••

Private key Required for key pair

-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----

Step three

Keep your Snowflake tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

Review 30-day Pinterest Organic organic content performance in SQL.

This example summarizes impressions, reach, engagements, and engagement rate by post.

30-day window

SELECT
  post_id,
  SUM(impressions) AS impressions,
  SUM(reach) AS reach,
  SUM(engagements) AS engagements,
  SAFE_DIVIDE(
    SUM(engagements),
    SUM(impressions)
  ) AS engagement_rate
FROM `your_project.marketing_raw.pinterest_organic_content_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY post_id
ORDER BY engagements DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Emailing

Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

Where do I configure a Pinterest Organic export to Snowflake?

Connect Pinterest Organic as a Catchr source. Add your existing Snowflake database, create a datastream, and configure a job that writes the selected fields to the "posts" table.

Which parts of Pinterest Organic can be exported to Snowflake?

Select concrete Pinterest Organic fields such as Engagement, Engagement Rate, Impressions, and App Type. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, profiles, and posts.

How does Catchr process a large Pinterest Organic backfill into Snowflake?

Catchr first processes the historical range configured for Pinterest Organic. Later runs update the "posts" table using the saved frequency and rolling import window.

How are overlapping Pinterest Organic import windows handled in Snowflake?

Catchr uses the selected partition field to refresh the relevant Pinterest Organic period inside "posts". Leaving it blank changes the job to append-only behavior.

What can I analyze with Pinterest Organic data in Snowflake?

With Pinterest Organic data, a Snowflake query can summarize impressions, reach, engagements, and engagement rate by post. A Snowflake view comparing Engagement and Engagement Rate can feed agency dashboards or downstream BI models.

Does my Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Snowflake database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

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100+ sources

Used by the world's leading companies

Export Pinterest Organic data to Snowflake

Centralize Pinterest Organic data in PostgreSQL

Keep your Snowflake tables up to date

Unify Pinterest Organic with the rest of your business data

Pinterest Organic metrics and dimensions available in Snowflake

Connect Pinterest Organic to Snowflake in minutes

Connect your Pinterest Organic account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day Pinterest Organic organic content performance in SQL.

Choose what to load into Snowflake.

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