Connect Salesforce with Aptos CRM to unify POS and eCommerce behavior into one customer history, powering loyalty, clienteling, and retail-ready engagement across channels.
• Customer identities are matched between Salesforce and Aptos CRM using configurable keys (for example email, phone, external customer ID), with deduplication rules applied during sync.
• Customer profile attributes (name, contacts, addresses, preferences, and consent flags) are mapped field-to-field, with source-of-truth ownership defined per attribute.
• Loyalty enrollment, tier, points balance, and earning/redemption transactions are synchronized, with validations to prevent negative balances or duplicate postings.
• Store/POS interactions and eCommerce behavioral events are ingested into Aptos CRM and linked back to the same customer record in Salesforce via external IDs.
• Clienteling activities (associate notes, tasks, appointments, and outreach history) are exchanged, keeping timestamps and user attribution aligned across systems.
• Delta-based synchronization sends only changed records after the last successful run; failures are logged with correlation IDs and retry handling for transient errors.
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We map identities and key fields, then sync customer, loyalty, consent, and engagement events via APIs or middleware. The goal is one profile that reflects store/POS history and online behavior.
Typical sync includes customer master data, consent, loyalty balances, store transactions, and clienteling notes, plus digital events like product views and cart activity. We define the source of truth per object to avoid duplicates.
Yes, we support store IDs, regions, and localization rules so segmentation and loyalty logic stay consistent. Sync can be scoped by brand, market, or store network.
We set matching rules using email, phone, loyalty ID, and POS identifiers, then automate merges and conflict handling. This keeps associates and marketing working off the same customer record.
Most projects start with a discovery and a small MVP sync, then expand to loyalty and behavioral events. Phased rollouts reduce risk and let you validate data quality early.






