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Data warehouse ⇄ Marketing

Snowflake to Twitter Ads integration — real-time, two-way sync

Keep Snowflake and Twitter Ads in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Snowflake and Twitter Ads

Put modeled data to work and measure what it drives: Snowflake and Twitter Ads keep contacts, audiences, and campaign results in step in real time, in both directions.

Snowflake is where your team models customers, product usage, and revenue into trusted tables; Twitter Ads runs the campaigns, audiences, and messages that reach those people. The two overlap wherever the same person, account, or segment matters to both, and when the bridge between them is a nightly export or a hand-built list, marketing targets stale data while analytics never sees what the campaign returned.

Stacksync syncs Databases, Schemas, Tables, Views in Snowflake with Line Items, Promoted Tweets, Custom Audiences, Targeting Criteria in Twitter Ads field by field, in real time, and in both directions. You decide which system owns which fields — a computed score or segment can flow out to Twitter Ads while sends, opens, and conversions flow back to Snowflake — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
  • 02 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
  • 03 Push Campaigns and Line Items from a planning database or spreadsheet into X Ads so media buyers manage budgets, bids, and targeting without hand-entering each one in Ads Manager.
  • 04 Sync Custom Audiences by uploading hashed emails from a CRM or warehouse segment, keeping retargeting and suppression lists current as the source list changes.

Common sync patterns

Keep the contact and audience list current

New and updated contacts, leads, or audience members flow between Snowflake and Twitter Ads, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.

Suppression and consent stay aligned

Unsubscribes, bounces, and consent or opt-out flags held in either system propagate to the other, so no one is messaged after opting out and Snowflake holds the current state for auditing.

Enrich records with warehouse context

Product-usage counts, plan tier, region, or account owner computed in Snowflake appear on the matching record in Twitter Ads, so targeting, routing, and personalization use up-to-date context.

What you can sync between Snowflake and Twitter Ads

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Snowflake objects Twitter Ads objects How this pairing syncs
Databases Top-level containers that scope which data a sync can touch. Targeting Criteria Location, keyword, interest, and device rules attached to line items; read and written to adjust who a line item reaches. Databases is specific to Snowflake and Targeting Criteria to Twitter Ads — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to organize synced tables. Funding Instruments Budget source (credit card, credit line, insertion order); read-only in the API and provisioned by an X account manager, referenced by campaigns. Schemas is specific to Snowflake and Funding Instruments to Twitter Ads — each maps to any object or custom field on the other side.
Tables The main landing and activation target for synced records. Analytics (Stats) Performance metrics for campaigns, line items, and promoted tweets; read-only via asynchronous jobs and pulled into a warehouse for reporting. Tables is specific to Snowflake and Analytics (Stats) to Twitter Ads — each maps to any object or custom field on the other side.
Views Modeled projections used as the source side of outbound syncs. Ad Accounts Top-level advertising account (base-36 ID) that holds campaigns and funding; read to enumerate structure, and most syncs are scoped to one account. Views is specific to Snowflake and Ad Accounts to Twitter Ads — each maps to any object or custom field on the other side.
Materialized Views Precomputed results synced outward for low-latency reads. Campaigns Schedule and budget container; synced two-way to create and update daily/total budgets and run dates from a planning database or spreadsheet. Materialized Views is specific to Snowflake and Campaigns to Twitter Ads — each maps to any object or custom field on the other side.
Streams Row-level change records on a table, consumed to process deltas instead of full scans. Line Items Ad groups holding the per-engagement bid, promoted entity, and targeting; written to set bids and targeting, read for account structure. Streams is specific to Snowflake and Line Items to Twitter Ads — each maps to any object or custom field on the other side.

How changes propagate between Snowflake and Twitter Ads

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Snowflake Twitter Ads Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

DeliveryEach detected change is written to Twitter Ads through its API, with automatic retries and rate-limit backoff.

Twitter Ads Snowflake Interval-based propagation

DetectionStacksync polls Twitter Ads for changes on an incremental schedule, reading only records changed since the previous pass. Polling only — the Ads API has no webhooks or change-data-capture.

DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
  • Twitter Ads: Per-endpoint 15-minute windows exposed via x-rate-limit-remaining and x-rate-limit-reset headers; asynchronous analytics is capped by concurrent jobs per account and covers up to 90 days per request.
What ships with Snowflake ⇄ Twitter Ads

Connect Snowflake and Twitter Ads for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Snowflake–Twitter Ads connection.

Real-time

Two-way sync

Changes in Snowflake or Twitter Ads instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Snowflake or Twitter Ads data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Snowflake or Twitter Ads record.

Observability

Monitoring

Track your Snowflake ⇄ Twitter Ads sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Snowflake and Twitter Ads.

How the Snowflake and Twitter Ads connectors work

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide

Twitter Ads

Integration surface
REST Ads API (synchronous management + asynchronous analytics jobs)
Authentication
OAuth 1.0a signed requests (three-legged user context) from a developer app allowlisted for the Ads API; OAuth 2.0 bearer tokens are limited to some read paths, while campaign, line item, and audience writes require OAuth 1.0a signing
Change detection
Polling only — the Ads API has no webhooks or change-data-capture; sync engines re-read entities and their state on a schedule and submit asynchronous analytics jobs for stats
Capabilities
read · write
Rate limits
Per-endpoint 15-minute windows exposed via x-rate-limit-remaining and x-rate-limit-reset headers; asynchronous analytics is capped by concurrent jobs per account and covers up to 90 days per request
How it works

How to connect Snowflake to Twitter Ads — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Snowflake and Twitter Ads with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Snowflake connected
    Twitter Ads connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Snowflake and Twitter Ads objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Snowflake ⇄ Twitter Ads
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Snowflake Twitter Ads
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Snowflake and Twitter Ads integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
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ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 507 integrations available for Snowflake and Twitter Ads.

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