AI Powered integration with expert operators

Salesforce Commerce Cloud and Emarsys

Integration Agency & Consultants

Your Salesforce Commerce Cloud store handles high-volume transactions, yet marketing campaigns often miss the mark due to delayed data. When purchase history and transaction events do not move into Emarsys at the pace of customer behaviour, personalisation fails. At scale, this becomes an operational burden that generic messaging cannot hide. We bridge the gap between these systems, ensuring product catalogues and customer profiles stay in step. This ensures that post-purchase triggers and segmentation are powered by accurate data from your primary source of truth, moving beyond manual exports to reliable automated flows.

Castore
Lounge
Oliver Bonas
Green People
Tatty Devine
Cult
Mapping data flows for omnichannel retail

Integrating Salesforce Commerce Cloud with Emarsys, we enable swift connectivity to enhance your multi-channel and omnichannel retail strategies. Our expertise ensures seamless system integration. Leverage our consulting and delivery skills to boost operational efficiency and tech stack performance. We provide comprehensive training to help you scale rapidly and achieve a unified retail approach.

Solution Design

For the Salesforce Commerce Cloud and Emarsys integration, we typically treat Salesforce as the primary source of truth for customer and purchase records. A key design decision involves the synchronisation of granular transaction data. We generally prioritise customer profile and order history sync to allow segmentation, while deferring line-item attributes that are less critical for initial campaigns. We often use near real-time triggers for event-based data, such as cart abandons, alongside batched updates for general purchase history. This creates a trade-off where marketing campaigns are powered by recent customer behaviour, but intra-day reporting on historical trends may lag. This design ensures that ecommerce teams can execute personalised engagement at scale while maintaining clear data ownership between technical and marketing systems.

Synchronising profiles and transaction history data

This integration establishes Salesforce Commerce Cloud as the authority for customer transactions and profile updates. Purchase history and product data flow into Emarsys to power personalised marketing. We map core objects including orders, product catalogues, and subscription statuses to ensure segmentation reflects individual customer behaviour. Monitoring is built into the data layer to detect when a batch export fails or when high-volume event data hits API limits. This helps ensure that post-purchase follow-ups and abandoned cart emails are sent using accurate customer data.

Orchestrating event triggers via IPaaS layers

Cogent2 uses IPaaS to streamline Salesforce Commerce Cloud and Emarsys integration, enhancing data flow and automation. Benefits include reduced integration complexity, faster deployment, improved scalability, and seamless connectivity between disparate systems, leading to efficient operations and better customer experiences.

Detecting data drift and sync failures

Dashboards often mask underlying data integrity issues. While a sync might show as successful, hidden gaps in customer data or missing order attributes can cause issues where automation appears to work but fails to personalise correctly. Our approach surfaces these failures by monitoring the flow of records between Salesforce and Emarsys. We track exceptions such as malformed customer records or failed product updates that prevent dynamic content from rendering. This gives teams the clarity to fix data issues before a campaign is sent, preventing incorrect targeting.

Ownership of segments and sync health

Handover ensures the ecommerce and marketing teams own customer engagement without relying on technical intervention. We define the operating model clearly: Salesforce Commerce Cloud acts as the primary source of truth for purchase data, while Emarsys manages the segments for execution. Training covers what to check regularly, such as sync health and event-trigger reliability, and how to identify data drift. We establish who owns each exception, from missed customer updates to delayed order synchronisation. Documentation is produced as an operational reference for the people running the business, not a technical archive. This ensures the team can troubleshoot common data flow questions internally and maintain the connection day to day.

Managing integrity during peak trading periods

Support focuses on maintaining data integrity between Salesforce Commerce Cloud and Emarsys. We monitor for sync failures and data drift before they impact live marketing campaigns. If a synchronisation error occurs, such as a batch failure or a contact update failure, we address the root cause. We manage the integration layer so your marketing and ecommerce teams can focus on segmentation rather than troubleshooting logs. Monitoring typical high-value events, such as abandoned cart triggers, helps ensure they remain consistent during peak trading periods.

Integration operating model

In this model, Salesforce Commerce Cloud acts as the source of truth for all customer transactions. Emarsys functions as the delivery engine, relying on a continuous feed of this data to build intelligent segments. When an order is placed, it is captured in Salesforce and passed to Emarsys to update the customer lifecycle stage. Marketing teams use Emarsys to design journeys, but they depend on the integrity of the data coming from Salesforce. Clear ownership ensures that ops teams manage the data source, while marketing manages the engagement strategy, bridging the gap between commerce operations and personalised outreach.

Common failures

Fragmented customer purchase history

Operational impact: When a customer checks out as a guest using an email that also has a registered account, two separate contacts can be created in Emarsys. This splinters the customer's purchase history, meaning marketing teams build segments on incomplete data. Consequently, loyalty campaigns miscalculate customer value, and post-purchase automations fail to recognise previous orders, harming the customer experience.

Prevention / Action: Integration logic must enforce an 'upsert' model for all customer data passed from Salesforce Commerce Cloud. Before creating a new contact, the process must query Emarsys for an existing contact with the same email address. The design should define which system holds the master record for customer identity to resolve conflicts and ensure each customer has one unified profile.

Delayed order synchronisation

Operational impact: If sales orders from Salesforce Commerce Cloud are not sent to Emarsys in near real-time, segmentation and campaign triggers become unreliable. A customer might receive a 'we miss you' email hours after making a high-value purchase, or be targeted with a promotion for a product they just bought. This erodes customer trust and makes marketing automation efforts appear clumsy and disconnected from actual behaviour.

Prevention / Action: Use event-driven triggers, such as the 'order confirmation' event in Salesforce Commerce Cloud, to initiate the data sync to Emarsys. The integration should use a managed queue to handle the order data, with automatic retries for transient API failures. Implement daily reconciliation checks that compare SFCC order counts against records created in Emarsys to identify and re-process any failures.

Incorrect product data in marketing emails

Operational impact: Emarsys relies on a product catalogue feed for abandoned cart emails, browse abandonment flows, and personalised recommendations. If the catalogue data from Salesforce Commerce Cloud is not updated frequently, emails can contain incorrect prices, broken image links, or reference out-of-stock SKUs. This directly impacts conversion rates, creates poor customer experiences, and undermines the revenue goals of key marketing automations.

Prevention / Action: The integration must include a robust and scheduled daily synchronisation of the full Salesforce Commerce Cloud product catalogue to Emarsys. This process must handle all required product attributes, particularly price, inventory status, and image URLs. Implement monitoring to verify that the catalogue feed completes successfully each day and that the product count in Emarsys aligns with the source catalogue.

Mishandling of marketing consent status

Operational impact: If a customer's consent preferences are not synchronised correctly between Salesforce Commerce Cloud and Emarsys, the business is exposed to compliance risks. For example, a customer unsubscribes via an Emarsys email, but this is not updated in their core SFCC customer record. This can lead to them receiving further marketing, resulting in complaints to the customer service team and potential breaches of data protection regulations like GDPR.

Prevention / Action: The integration design must establish a single, authoritative source of truth for marketing consent, or a bidirectional sync with clear precedence rules. Any change to an 'opt-in' or 'opt-out' status in one system must trigger an immediate corresponding update in the other. This ensures the customer's choice is respected across all touchpoints and that both the eCommerce and marketing platforms operate from the same consent data.

Frequently asked questions

Should we manage marketing consent in Emarsys or Salesforce Commerce Cloud?

Salesforce Commerce Cloud acts as the source of truth for marketing consent. This master record is synced to Emarsys to ensure legal compliance. Managing consent centrally in SFCC prevents situations where a customer unsubscribes during checkout but still receives emails because systems are out of step.

How do we handle abandoned cart sync for guest shoppers?

Standard connectors can fail to track abandoned cart events for shoppers who are not logged in. We help configure the data capture to ensure email addresses captured during the session are posted correctly to Emarsys, helping to address low conversion rates on abandoned baskets.

Why do product records sometimes fail to sync in the Recommendation Engine?

A common issue occurs when localized data formats between SFCC and Emarsys do not match, leading to rejected rows. We ensure the data feed is formatted correctly so that product information and pricing populate your marketing templates accurately and without error.

How do we prevent sync timeouts for large customer data exports?

Large data exports from Salesforce can lead to job timeouts if the process is not managed correctly. We ensure the integration tracks sync progress reliably, so even after an interruption, the process resumes and maintains data freshness for your marketing campaigns.

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