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Database ⇄ Marketing

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

Keep PostgreSQL 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 PostgreSQL and Twitter Ads

Give your team Twitter Ads's contacts, campaigns, and engagement in PostgreSQL: query them with SQL, push audiences built from your own data back to Twitter Ads, and skip the marketing API.

Twitter Ads holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in PostgreSQL, hard to get into campaigns without manual exports.

Stacksync mirrors Analytics (Stats), Ad Accounts, Campaigns, Line Items from Twitter Ads into Sequences, Custom Types and Enums, Tables, Views in PostgreSQL field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in PostgreSQL, from usage, orders, or account status, sync back into Twitter Ads to drive campaigns and ads, with Twitter Ads kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 02 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • 03 Pull Analytics for Campaigns, Line Items, and Promoted Tweets into a warehouse for blended cross-channel spend and ROAS reporting.
  • 04 Read Funding Instruments and daily campaign spend into a finance database to reconcile X ad costs against billing and invoices.

Common sync patterns

Build audiences from your own data

Segments computed in PostgreSQL from product usage, orders, or account status sync into Twitter Ads as lists or audiences, so campaigns and ads target the people your data says they should.

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Twitter Ads land in PostgreSQL beside the matching customer record, ready for reporting and revenue attribution.

React to marketing changes as row changes

A new lead, form fill, or list change in Twitter Ads arrives as a row change in PostgreSQL, so scoring, jobs, and notifications run in the tooling your team already uses.

What you can sync between PostgreSQL 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.

PostgreSQL objects Twitter Ads objects How this pairing syncs
Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Custom Audiences Match lists (formerly Tailored Audiences); written by uploading hashed emails or device IDs from a CRM or warehouse segment for retargeting and suppression. Custom Types and Enums is specific to PostgreSQL and Custom Audiences to Twitter Ads — each maps to any object or custom field on the other side.
Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Targeting Criteria Location, keyword, interest, and device rules attached to line items; read and written to adjust who a line item reaches. Tables is specific to PostgreSQL and Targeting Criteria to Twitter Ads — each maps to any object or custom field on the other side.
Views Read-side projections used to expose joined or filtered data to a sync. 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. Views is specific to PostgreSQL and Funding Instruments to Twitter Ads — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets synced outward on a refresh schedule. Analytics (Stats) Performance metrics for campaigns, line items, and promoted tweets; read-only via asynchronous jobs and pulled into a warehouse for reporting. Materialized Views is specific to PostgreSQL and Analytics (Stats) to Twitter Ads — each maps to any object or custom field on the other side.
Schemas Namespaces that scope which tables a sync reads and writes. 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. Schemas is specific to PostgreSQL and Ad Accounts to Twitter Ads — each maps to any object or custom field on the other side.
Columns Field-level mapping targets; types are mapped to the connected system's field types. Campaigns Schedule and budget container; synced two-way to create and update daily/total budgets and run dates from a planning database or spreadsheet. Columns is specific to PostgreSQL and Campaigns to Twitter Ads — each maps to any object or custom field on the other side.

How changes propagate between PostgreSQL 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.

PostgreSQL Twitter Ads Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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

Twitter Ads PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
  • 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 PostgreSQL ⇄ Twitter Ads

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PostgreSQL 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 PostgreSQL or Twitter Ads record.

Observability

Monitoring

Track your PostgreSQL ⇄ 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 PostgreSQL and Twitter Ads.

How the PostgreSQL and Twitter Ads connectors work

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL 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 PostgreSQL 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 PostgreSQL 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
    PostgreSQL connected
    Twitter Ads connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the PostgreSQL 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 · PostgreSQL ⇄ 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
    PostgreSQL Twitter Ads
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

PostgreSQL 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
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GDPR
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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 505 integrations available for PostgreSQL and Twitter Ads.

Popular · 8 of 505
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