Real-time
Two-way sync
Changes in Bingads or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Marketing ⇄ Database
Bingads to PostgreSQL integration — real-time, two-way sync
Keep Bingads and PostgreSQL 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 Bingads and PostgreSQL
Give your team Bingads's contacts, campaigns, and engagement in PostgreSQL: query them with SQL, push audiences built from your own data back to Bingads, and skip the marketing API.
Bingads 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 Audiences & Remarketing Lists, Conversion Goals & Offline Conversions, Ad Extensions (Assets), Accounts, Customers & Users from Bingads into Views, Materialized Views, Schemas, Columns 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 Bingads to drive campaigns and ads, with Bingads 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 Two-way sync remarketing and customer-match audiences so audience lists stay aligned between a CDP or CRM and Microsoft Advertising.
- 04 Push campaign structure - campaigns, ad groups, ads, keywords, and negative keywords - from a planning database into Microsoft Advertising through the Campaign Management or Bulk service.
Common sync patterns
Engagement and results next to the customer
Opens, clicks, sends, RSVPs, or ad activity from Bingads 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 Bingads arrives as a row change in PostgreSQL, so scoring, jobs, and notifications run in the tooling your team already uses.
Keep contact attributes consistent
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
What you can sync between Bingads and PostgreSQL
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.
| Bingads objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Accounts, Customers & Users Customer Management hierarchy - accounts, customers, and users - read and managed to mirror agency/MCC-style structure and access into an internal database. | Sequences Generate surrogate keys for rows created by inbound syncs. | Accounts, Customers & Users is specific to Bingads and Sequences to PostgreSQL — each maps to any object or custom field on the other side. | |
| Performance Reports Campaign, ad group, keyword, geographic, and audience performance via the asynchronous Reporting service (submit, poll, download); read-only spend and conversion data. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | Performance Reports is specific to Bingads and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side. | |
| Campaigns Search, Audience, Shopping, and Performance Max campaigns with budget, status, and campaign-type settings; full create/read/update/delete through the Campaign Management service (or Bulk for scale). | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Campaigns is specific to Bingads and Tables to PostgreSQL — each maps to any object or custom field on the other side. | |
| Ad Groups Ad groups under a campaign with bids, network and audience targeting, and status; CRUD via Campaign Management, so structure can be pushed in from a database. | Views Read-side projections used to expose joined or filtered data to a sync. | Ad Groups is specific to Bingads and Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Ads Responsive search ads, expanded text ads, image and responsive ads; created and updated through Campaign Management so ad copy is managed from a source of truth. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Ads is specific to Bingads and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Keywords & Negative Keywords Bidded keywords and account/campaign/ad-group negative keywords with match types; CRUD, and the Bulk service is recommended for large keyword changes. | Schemas Namespaces that scope which tables a sync reads and writes. | Keywords & Negative Keywords is specific to Bingads and Schemas to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Bingads and PostgreSQL
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.
Bingads PostgreSQL Interval-based propagation
DetectionStacksync polls Bingads for changes on an incremental schedule, reading only records changed since the previous pass. 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.
PostgreSQL Bingads 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 Bingads through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Bingads: Service-specific throttling rather than one global limit. Ad Insight caps calls per user per minute with a 60-second sliding window at the customer level. The Bulk service caps download/upload calls and, once hit, returns 'no more bulk upload or download calls will be permitted for this account,' clearing after up to 15 minutes; Campaign Management caps entities per call, so large changes go through Bulk.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Bingads ⇄ PostgreSQL
Connect Bingads and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bingads–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Bingads or PostgreSQL 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 Bingads or PostgreSQL record.
Observability
Monitoring
Track your Bingads ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Bingads and PostgreSQL.
How the Bingads and PostgreSQL connectors work
Bingads
- Integration surface
- SOAP web services (Bing Ads API v13): Campaign Management, Bulk, Reporting, Customer Management, Customer Billing, and Ad Insight services, plus offline conversion import. SDKs for C#, Java, Python, and PHP; a Sandbox environment mirrors production.
- Authentication
- OAuth 2.0 (Microsoft identity platform / Azure AD) access tokens passed in the SOAP AuthenticationToken header, plus a Microsoft Advertising Developer Token that authorizes API access; calls are scoped by CustomerId and account (CustomerAccountId).
- Change detection
- No webhooks or change-data-capture. Reporting is asynchronous - submit a report request, poll until it completes, then download the file. Current campaign state is refreshed via scheduled Bulk downloads (full or by last-sync date) or entity list calls.
- Capabilities
- read · write
- Rate limits
- Service-specific throttling rather than one global limit. Ad Insight caps calls per user per minute with a 60-second sliding window at the customer level. The Bulk service caps download/upload calls and, once hit, returns 'no more bulk upload or download calls will be permitted for this account,' clearing after up to 15 minutes; Campaign Management caps entities per call, so large changes go through Bulk.
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
How it works
How to connect Bingads to PostgreSQL — 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.
- 01
Connect your apps
Authenticate Bingads and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Bingads
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Bingads and PostgreSQL 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.
objects · Bingads ⇄ PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Bingads PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Bingads and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Bingads and PostgreSQL: authenticate both systems, choose the objects to sync (such as Bingads's Accounts, Customers & Users and Performance Reports), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Bingads and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bingads–PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Bingads and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Bingads: No webhooks or change-data-capture. Reporting is asynchronous - submit a report request, poll until it completes, then download the file. Current campaign state is refreshed via scheduled Bulk downloads (full or by last-sync date) or entity list calls. On PostgreSQL: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the PostgreSQL side: Views, Materialized Views, Schemas, Columns, plus custom fields where PostgreSQL exposes them. On the Bingads side: Audiences & Remarketing Lists, Conversion Goals & Offline Conversions, Ad Extensions (Assets), Accounts, Customers & Users. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
SOC 2 Type II
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 503 integrations available for Bingads and PostgreSQL.
Popular · 8 of 503
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Bingads ⇄ OCI Database (Oracle Cloud) -
Bingads ⇄ OpenSearch -
Bingads ⇄ Oracle DB -
Bingads ⇄ RavenDB -
PostgreSQL ⇄ Twitter Ads -
PostgreSQL ⇄ Marketo -
PostgreSQL ⇄ Salesforce Marketing Cloud -
PostgreSQL ⇄ Cvent
No integrations match .
