Connect Salesforce Commerce Cloud with Optimizely to run controlled A/B tests, personalize key pages, and measure uplift with clean event tracking and reliable experimentation.
• Customer identifiers (email, CRM ID, and hashed keys where applicable) are mapped between Salesforce records and Optimizely visitor profiles for consistent identity resolution.
• Selected Salesforce objects and fields (Accounts, Contacts, Leads, and custom objects) are transformed into Optimizely audiences, attributes, or datafiles based on defined mapping rules.
• Event and conversion signals from Optimizely (experiment exposure, goal completions, and key actions) are routed back to Salesforce as events, campaign member activity, or custom objects when required.
• Delta-based syncs send only changed records, while full refresh jobs reconcile drift and handle backfills for newly added fields or segments.
• Consent and privacy flags from Salesforce are respected during exports, with suppression logic preventing restricted profiles from being sent to Optimizely.
• Sync operations are validated, logged, and retried with idempotent writes to reduce duplicates and maintain consistent state across both systems.
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We map customer, product, and order signals from Salesforce into Optimizely audiences and experiments via API or a secure data layer. Targeting stays stable even when Salesforce fields or catalog structures change.
Track view, add-to-cart, checkout step, purchase, and key micro-conversions using a consistent event schema. We validate attribution, deduplication, and consent handling before Go-live.
Yes, if identity resolution is defined early and identifiers are passed consistently between systems. We align anonymous and known users so Optimizely decisions match Salesforce customer records.
We implement consent-aware data collection and ensure only permitted identifiers are shared. This prevents experiments from polluting reporting or targeting users without the right consent.
Yes – scandiweb has delivered 2,100+ eCommerce projects since 2003 and supports large-scale tracking and experimentation programs. We build, test, and monitor the integration so your experiments stay reliable under load.





