AI Powered integration with expert operators

Stokly ERP and Emarsys

Integration Agency & Consultants

Marketing campaigns fail to hit targets when customer purchase history in Emarsys is outdated or incomplete. At low volumes, teams can manually bridge these gaps, but as order frequency increases, inconsistent data leads to duplicate customer records and inaccurate segmentation. We align Stokly ERP and Emarsys to ensure that detailed operational data, from order status to fulfilment details, drives timely and contextual customer communication. This usually becomes a priority when the marketing team can no longer trust their segments to reflect actual purchase behaviour.

Castore
Lounge
Oliver Bonas
Green People
Tatty Devine
Cult
Auditing Stokly and Emarsys data gaps

We connect your Stokly ERP and Emarsys quickly, ensuring your ERP and ESP work together for optimal results. Our consulting services are invaluable, offering system audit expertise that uncovers inefficiencies and integration gaps between Stokly ERP and Emarsys. These audits empower both our consultants and your team to take decisive action, helping your ERP and ESP ecosystems run efficiently. This means you can deliver a consistently excellent experience to your customers, with technology that supports your business goals and growth.

Solution Design

For the Stokly ERP and Emarsys integration, we establish Stokly as the master for customer records and order history. A key design decision is the use of event-driven triggers for fulfilment status updates alongside scheduled synchronisation for product catalogue refreshes. We prioritise the flow of dispatch events to ensure Emarsys triggers post-purchase messaging accurately, while broader customer profile changes are typically synced on a defined schedule to maintain stability. A primary trade-off in this design is forgoing real-time inventory updates for marketing recommendations in favour of a daily high-integrity snapshot. This reduces technical overhead and prevents sync failures during peak trade. This architecture ensures finance closes the month with revenue figures that match marketing reports, while the ecommerce team operates with segments that reflect verified customer behaviour.

Mapping transaction history and fulfilment flows

This integration establishes Stokly ERP as the master for customer records and transaction history. Data flows from Stokly to Emarsys on a defined trigger, ensuring every customer and completed order is available for segmentation. We synchronise order status and fulfilment details, enabling Emarsys to trigger contextual communications based on warehouse activity. To prevent issues where data appears synced but is actually delayed, we monitor for gaps such as duplicate records or mismatched identifiers. Inventory levels are mapped to ensure product recommendations align with actual stock availability.

Secure orchestration on accredited infrastructure

Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations, Stokly ERP and Emarsys ESP integrations are delivered efficiently and securely. IPaaS connects Stokly ERP with Emarsys ESP, automating data flows between ERP and ESP platforms. This approach reduces manual effort, increases reliability, and ensures compliance. Security is prioritised, with ISO 27001 and SOC 2 and above as minimum requirements, protecting sensitive business data throughout the integration process.

Surfacing sync exceptions and record failures

Campaign reports in Emarsys cannot show why data is missing or delayed from the source. Connectivity monitoring is required to detect hidden failures, such as records that fail to meet validation rules and never reach your marketing platform. Our platform surfaces these exceptions, identifying specific customer profiles or orders that have stalled. This prevents your team from executing campaigns against outdated segments or suffering from operational latency, closing the gap between warehouse events and marketing visibility.

Operational handover for marketing and finance

The marketing, ecommerce, and finance teams must adopt the new operating model to ensure data consistency. We hand over a clear guide on the data hierarchy: Stokly as the source of truth for transactions and Emarsys for campaign execution. Marketing teams learn to check daily sync status alerts, while finance reviews reconciliation reports to ensure order values match across both systems. Ecommerce managers own the resolution of mismatched records flagged by the integration layer. Our documentation is operational reference rather than technical manual, focusing on the actions required to maintain accurate segments and reliable automated triggers. Training is anchored in the specific design choices made for your Stokly and Emarsys environment.

Technical governance and managing data drift

We provide ongoing monitoring to detect sync delays or data mismatches before they degrade your campaign segments. This involves managing exceptions during high-volume periods and ensuring any configuration changes in Stokly do not break the data flow to Emarsys. Our support identifies operational drift, ensuring your marketing triggers remain synchronised with your warehouse reality and avoiding the 'sync illusion' where data appears current but is actually batched and delayed.

Integration operating model

In this model, Stokly ERP acts as the master for all operational customer and order data. Every transactional event, from a new order to a change in fulfilment status, is pushed to Emarsys to maintain a mirror of the customer purchase journey. Marketing teams operate within Emarsys, trusting that the segments, automated triggers, and product recommendations they use are powered by accurate data from Stokly. The integration layer handles the transformation of Stokly transactional data into the specific format required for the Emarsys contact database, ensuring that loyalty programmes and lifecycle campaigns are based on the latest available facts from the ERP.

Common failures

Fragmented customer data and duplicates

Operational impact: When customer records are not accurately matched and merged between Stokly and Emarsys, duplicate contacts appear. This fragments a customer's order history, leading to flawed segmentation and ineffective campaigns, such as sending a welcome email to a loyal customer. It also creates unnecessary work for customer service teams who must manually investigate and merge records.

Prevention / Action: The integration must use a robust lookup-before-create process, querying Emarsys with multiple unique identifiers from the Stokly customer record (such as email) before creating a new contact. Stokly must be designated the master for all customer master data. A clear operational process for merging duplicates in Stokly should trigger a corresponding, automated update in Emarsys.

Inaccurate order data for marketing segmentation

Operational impact: Marketing teams depend on accurate order data from Stokly to drive segmentation for personalised campaigns in Emarsys. If order details like SKUs, quantities, and final transaction values are synced incorrectly or partially, segmentation becomes unreliable. This directly impacts the performance of post-purchase automations, VIP programmes, and cross-sell initiatives, ultimately affecting revenue attribution.

Prevention / Action: Define clear triggers for when an order is ready to sync, for example after payment is confirmed and fraud checks are complete in Stokly. Ensure the integration builds in retry logic and a queueing system to handle API rate limits or transient errors, preventing partial data transfers. Schedule regular reconciliation reports comparing Stokly Sales Order data with Emarsys purchase data to catch any discrepancies.

Delayed marketing consent and preference updates

Operational impact: If a customer's marketing opt-out request, submitted via their account page and captured in Stokly, is not updated promptly in Emarsys, the business is exposed to compliance risks. Sending marketing communications to customers who have withdrawn consent damages brand trust and can lead to formal complaints. This failure breaks the bond of trust with the customer base.

Prevention / Action: Consent updates must be handled with a high-priority, low-latency process that is separate from bulk data synchronisation. The integration design should use webhooks or frequent polling of the customer record's 'opt-in' flag in Stokly. This ensures preference changes are pushed to Emarsys within minutes, not hours, maintaining compliance and respecting customer choices.

Inconsistent product data for recommendations

Operational impact: Emarsys features like Product Recommendations and Abandoned Cart emails rely on an accurate product catalogue. If the catalogue data (e.g. product titles, pricing, image URLs) synced from Stokly is stale or incorrect, customers will see irrelevant products or broken links in emails. This results in a confusing user experience, erodes customer trust, and leads to lost recovery revenue.

Prevention / Action: Designate Stokly as the definitive source of truth for the core product catalogue. The integration should be configured to perform a full, overwrite-style catalogue sync to Emarsys on a fixed daily schedule to ensure a consistent baseline. This should be supplemented by event-triggered updates for any critical data changes, such as price or stock status, to maintain accuracy throughout the day.

Frequently asked questions

If Stokly ERP is our master for customer data, how do we keep Emarsys accurate?

The integration establishes Stokly as the source of truth for customer records. When details are updated in Stokly, they sync to Emarsys using a unique identifier to map records and prevent duplicates. This ensures campaigns target the correct contact using their most recent purchase history.

How can we time campaigns based on warehouse activity?

We connect Stokly operational triggers to your Emarsys campaigns. For example, when an order is marked as despatched in Stokly, it can trigger a shipment notification in Emarsys. This makes customer communication timely and reduces the load on support teams.

What happens when data gets out of sync?

Segmentation drift is a common failure where marketing sends a win-back offer to a customer who just ordered. By using Stokly as the master for order history, we ensure segments are built from verified facts, preventing irrelevant offers that damage customer trust.

Can we use Stokly data to personalise marketing?

Yes. You can push rich operational data from Stokly to create specific segments in Emarsys. This typically includes lifetime value, last order date and SKU history, allowing for targeted campaigns like complementary product recommendations based on past purchases.

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