Two-way sync
Changes in Apollo.io or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and Bigcommerce in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Apollo.io holds the customer relationship: the contacts, accounts, and deals a go-to-market team works. Bigcommerce runs the buying side: who placed which order, what they bought, and where it ships. The two describe the same people and companies, and when they are connected only by exports, sales answers questions without recent orders in front of them while the store works from account details that changed weeks ago.
Stacksync links Accounts, People (database records), Sequences, Deals (Opportunities) in Apollo.io to Categories, Brands, Inventory, Price Lists in Bigcommerce with bi-directional, real-time sync. New customers, order activity, and corrected contact details move in whichever direction you configure, field by field, with conflicts resolved by rules you set. A record created or changed on either side shows up on the other within seconds, with no CSV exports and no nightly job.
The shared entity is the customer, matched on email or an external ID, so both systems agree on who the buyer is and the order history sits next to the relationship instead of in a separate tab.
An email, phone, or shipping and billing address corrected in either system updates the other, so the next order and the next outreach both use current information.
Lifecycle stage, tier, or account owner set in Apollo.io syncs onto the customer record in Bigcommerce, so the buying side can act on how the relationship is classified.
Where Apollo.io tracks products or line items and Bigcommerce holds the catalog, shared items are matched on SKU so quotes, deals, and orders reference the same products.
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.
| Apollo.io objects | Bigcommerce objects | How this pairing syncs | |
|---|---|---|---|
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Shipments Order shipments with tracking numbers; created in BigCommerce from a 3PL or fulfillment system as packages ship. | Deals (Opportunities) is specific to Apollo.io and Shipments to Bigcommerce — each maps to any object or custom field on the other side. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Products Catalog V3 records with custom fields and images; mastered in a PIM or ERP and written to BigCommerce, or read out to a warehouse. | Tasks and calls is specific to Apollo.io and Products to Bigcommerce — each maps to any object or custom field on the other side. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Variants and SKUs Per-variant pricing and inventory; synced to keep stock and SKU data aligned with an ERP or WMS at the option level. | Custom fields is specific to Apollo.io and Variants and SKUs to Bigcommerce — each maps to any object or custom field on the other side. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Contacts is specific to Apollo.io and Orders to Bigcommerce — each maps to any object or custom field on the other side. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Accounts is specific to Apollo.io and Customers to Bigcommerce — each maps to any object or custom field on the other side. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | People (database records) is specific to Apollo.io and Categories to Bigcommerce — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Apollo.io for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at timestamps.
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
DetectionBigcommerce notifies Stacksync of record changes through webhook events. Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more).
DeliveryEach detected change is written to Apollo.io through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Bigcommerce connection.
Changes in Apollo.io or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or Bigcommerce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apollo.io or Bigcommerce record.
Track your Apollo.io ⇄ Bigcommerce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and Bigcommerce.
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.
Authenticate Apollo.io and Bigcommerce with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Apollo.io and Bigcommerce 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apollo.io and Bigcommerce: authenticate both systems, choose the objects to sync (such as Apollo.io's Deals (Opportunities) and Tasks and calls), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apollo.io: Enrichment endpoints consume plan credits, so sync jobs that trigger enrichment have a cost dimension beyond rate limits. Bigcommerce: BigCommerce splits its API across V2 and V3 — Orders live largely in V2 while Catalog (Products, Variants, Categories) uses V3 — so a sync must map both surfaces. Stacksync's field mapping accounts for these differences between Apollo.io and Bigcommerce without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apollo.io and Bigcommerce records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apollo.io and Bigcommerce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apollo.io–Bigcommerce integration in-house.
Yes — Stacksync ships production-grade connectors for both Apollo.io and Bigcommerce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apollo.io: Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream. On Bigcommerce: Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more); polling uses date_modified:min/max filters on Products, Orders, and Customers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 366 integrations available for Apollo.io and Bigcommerce.