BigCommerce and Emarsys
Integration Agency & Consultants
Our AI-powered delivery and experienced operators connect BigCommerce and Emarsys properly, fixing the poor data flow that causes revenue leakage. This keeps customer segments current and ensures transactional communications are timed correctly, making your marketing automation more effective while protecting the customer experience.
Scoping technical audits for data flow
We connect your BigCommerce and Emarsys integration swiftly, supporting your ecommerce and ESP needs. Our consulting services are invaluable, offering system audit expertise that uncovers inefficiencies between BigCommerce and Emarsys, ensuring your ecommerce and ESP platforms work together efficiently. Our audits empower both our consultants and your team to take decisive action, helping your technology ecosystem run smoothly. This enables you to deliver an excellent customer experience, with every system optimised for performance and reliability.
Solution Design
The design treats BigCommerce as the source of truth for customer identity and order history, synchronising these to Emarsys to drive personalised marketing. We prioritise mapping BigCommerce customer groups to Emarsys segments to ensure automated flows reflect buying behaviour. A key design decision involves the trade-off between real-time event triggers and batch data updates. While real-time triggers for abandoned carts provide immediate relevance, we typically manage complex product variant data through scheduled updates to maintain system stability during high-traffic periods. This prevents technical limits from interrupting critical communications. The design ensures marketing creates segments based on confirmed purchase data, while the ecommerce team maintains a consistent view of customer communication history.
Synchronising storefront records with marketing profiles
The integration synchronises data between the BigCommerce storefront and the Emarsys marketing cloud. BigCommerce typically acts as the authority for customer records and order status, while Emarsys uses this data to build a customer profile. We map fields from BigCommerce, including customer group logic and product attributes, ensuring they land in the correct Emarsys fields for segmentation. Monitoring helps detect when its product catalogue sync lags or when email triggers fail to fire. By organising the data flow to prioritise customer opt-in status and purchase history, we work to ensure that marketing automation remains accurate without requiring manual data exports.
Standardising connectivity through secure middleware
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations ensures secure, efficient integration between BigCommerce and Emarsys for Ecommerce and ESP needs. IPaaS simplifies connecting BigCommerce with Emarsys, automating data flows between Ecommerce and ESP platforms. This approach reduces manual effort, increases reliability, and maintains strict security standards, making integrations easier to manage and adapt as business requirements evolve.
Monitoring sync latency and silent failures
Standard dashboards often miss the silent failures that can affect customer trust. High visibility means knowing when a BigCommerce order fails to update a contact profile in Emarsys, or when a product change has not reached your email templates. We help surface these issues before they impact campaign performance. We monitor for sync latency that causes transactional emails to arrive too late, and for data mapping issues where customer segments stop updating. This operational intelligence allows your team to move from reactive troubleshooting to managing the data quality that powers your marketing.
Enabling teams to manage data consistency
Handover ensures your ecommerce and marketing teams own the operating model from day one. We provide operational references for the people running the brand rather than technical archives for IT. Teams learn to navigate the data flow between BigCommerce and Emarsys, identifying where customer identity lives and how to verify that segments are updating. Your team is trained to read alerts from the integration layer to distinguish between transient sync delays and data mapping exceptions. We define what to check on a regular basis to prevent profile drift and ensure customer group logic remains consistent. Documentation is structured as a practical reference, making exception ownership clear across the business.
Managing data reconciliation and API health
Support is an ongoing operational commitment. We monitor the health of your BigCommerce and Emarsys data flows to catch reconciliation gaps and sync failures before they affect campaigns. When an exception occurs, such as an API rate limit being reached or a field mismatch stalling segment updates, we manage the resolution. This ensures your marketing and ecommerce teams focus on growth rather than troubleshooting logs. Our support model includes regular reviews of data mapping to ensure customer group logic and product catalogues stay aligned as your business requirements evolve. We provide the visibility needed to trust that your marketing automation reflects real-time buying behaviour.
Common failures
Mismatched customer segments
Operational impact: When customer groups and custom fields from BigCommerce are not correctly mapped to Emarsys contact data, segmentation becomes unreliable. This leads to automated campaigns triggering for the wrong audience, damaging customer experience and wasting marketing budget. The marketing team loses trust in its data, and personalisation efforts fail to deliver revenue.
Prevention / Action: Define a strict data mapping specification for all customer attributes before the integration build begins. Establish BigCommerce as the single source of truth for customer records, ensuring any changes there propagate correctly. The integration logic must include exception handling for any records that fail to map, placing them in a queue for manual review rather than creating fragmented profiles in Emarsys.
Delayed or missing transactional events
Operational impact: If the integration fails to pass event data like 'order created' or 'fulfilment status updated' in near real-time, critical customer communications are impacted. Order confirmations, dispatch notifications, and abandoned cart recovery emails are delayed or do not send at all. This increases 'where is my order?' queries for the customer service team and causes direct revenue loss.
Prevention / Action: Utilise BigCommerce webhooks to trigger data synchronisation for time-sensitive events. Design the integration with a queuing mechanism to handle API rate limits and transient errors, ensuring every event is processed in sequence. Implement monitoring to alert on growing queue depths or repeated API failures, allowing for investigation before it affects customer communication.
Inaccurate product catalogue in marketing
Operational impact: When the product catalogue sync fails or is infrequent, data in Emarsys becomes stale. Marketing automations for 'back in stock' alerts or product recommendations can promote items with the wrong price, stock level, or imagery. This leads to poor click-through experiences on the BigCommerce store, erodes customer trust, and directly impacts sales.
Prevention / Action: Schedule a daily bulk synchronisation to pass the entire BigCommerce product catalogue to Emarsys, ensuring a consistent baseline. Supplement this with event-driven updates for key changes like price or stock levels which require more timely data. Define the SKU or internal product ID as the immutable key for matching records to prevent duplicates and ensure data integrity.
Incomplete order data for personalisation
Operational impact: Post-purchase automations depend on rich order data. If the integration only syncs the top-level order status but omits line-item details, discounts, or custom attributes, personalisation is impossible. Review requests, cross-sell campaigns, and loyalty communications become generic, failing to reflect what the customer actually purchased, which limits their effectiveness.
Prevention / Action: Ensure the integration maps the full BigCommerce sales order object, including all line-item data, to a corresponding external event in Emarsys. The sync should trigger only after payment is successfully captured to ensure financial data is accurate. This provides the marketing team with the complete context needed to build effective, personalised post-purchase experiences.
Frequently asked questions
Which system becomes the source of truth for customer and product data?
In this operating model, BigCommerce acts as the definitive source of truth for the core customer record, the complete order history, and the product catalogue. Emarsys then consumes this information to build out its Unified Customer Profile for marketing automation. This one-way data flow ensures that when a customer's details are updated in BigCommerce, it's correctly reflected in Emarsys for segmentation.
How do you ensure our custom attributes and historical data from BigCommerce will actually work in Emarsys?
We begin by mapping all critical BigCommerce customer and order data, including custom metafields, to the Emarsys contact schema before building any automation. This ensures historical data like past purchases and attributes like 'Loyalty Tier' correctly populate Emarsys segments. Without this, marketing automation often fails because customer segments in Emarsys are incomplete or based on incorrect data from BigCommerce.
Our transactional emails are often delayed. How does the integration fix this?
This commonly occurs when the integration is not built to react to real-time events in BigCommerce, like a payment or a fulfilment. For example, a 'shipping confirmation' email from Emarsys should be triggered the moment a fulfilment record is created in BigCommerce. We ensure the integration connects these specific operational triggers to the corresponding automated emails in Emarsys, preventing delays that damage customer experience.
How does the integration handle BigCommerce customer groups and complex product options?
A common failure is an integration that doesn't distinguish between different customer types or product variants, leading to the wrong communications. We ensure that BigCommerce customer groups are mapped to specific segments in Emarsys, so a 'Wholesale' customer doesn't receive a retail promotion. Likewise, BigCommerce's product options and metafields are mapped to the Emarsys product catalogue to allow for more granular, variant-aware email marketing.