Helpdesk migration
Field-level mapping, validation, and rollback between Heyday AI and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.
Heyday AI
Source
Salesforce Service Cloud
Destination
Compatibility
2 of 10
objects map 1:1 between Heyday AI and Salesforce Service Cloud.
Complexity
CModerate
Timeline
5-8 weeks
Overview
Heyday AI stores customer profiles, conversation threads, and order references that map to Salesforce Service Cloud's Contact, Case, and Account objects. The primary migration challenge is structural: Heyday's conversational data has no documented public API for bulk extraction, which means conversation history requires manual admin-assisted export or direct Hootsuite backend involvement before we can reconstruct it in Salesforce as a Case timeline with threaded EmailMessages. Customer profiles map directly to Salesforce Contacts, and we carry e-commerce order references as custom fields on the Contact record. We do not migrate Heyday's FAQ automation flows, keyword triggers, or bot training data because those are configuration artifacts inside Heyday's conversational builder with no export path; we deliver a written specification of all observed automation logic so the customer's Service Cloud admin can rebuild it in Flow and Einstein Bot. Knowledge base content, if maintained in Heyday, requires separate export because it sits outside the conversation export scope.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Source platform
Heyday AI platform overview
Scorecard, SWOT, gotchas, and pricing for Heyday AI.
Destination platform
Salesforce Service Cloud platform overview
Scorecard, SWOT, gotchas, and pricing for Salesforce Service Cloud.
Data migration guide
The complete Salesforce Service Cloud migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Salesforce Service Cloud migration checklist
Pre- and post-cutover tasks for moving onto Salesforce Service Cloud.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Heyday AI object lands in Salesforce Service Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Heyday AI
Conversation
Salesforce Service Cloud
Case + EmailMessage
1:manyHeyday conversation threads map to Salesforce Case as the parent record, with individual messages mapped to EmailMessage records (direction=Inbound or Outbound) threaded against the Case. The Heyday conversation timestamp becomes the Case CreatedDate; message timestamps preserve relative ordering within the Case timeline. If Heyday exports conversation data in a structured format (JSON or CSV from admin export), we parse the thread and insert EmailMessage records in chronological order. If extraction is manual (admin UI screenshot log or CSV of summary fields), we map available fields and flag that granular message history may not be fully reconstructable. Closed conversations map to Case with Status=Closed; open conversations require a migration-day freeze before cutover.
Heyday AI
Customer
Salesforce Service Cloud
Contact + Account
1:manyHeyday customer profiles map to Salesforce Contact with Account as the parent. If the customer organization has a named Account in Heyday (from e-commerce business name), we create a Salesforce Account first and link Contact. If Heyday customers are individual shoppers without organizational hierarchy, we create a Salesforce Account named after the customer's email domain as a deduplication anchor. Heyday custom customer properties (retail-specific attributes like loyalty tier or preferred store) map to custom fields on Contact. Email address on Heyday Customer becomes the Contact Email field and the primary dedupe key during import.
Heyday AI
Product
Salesforce Service Cloud
Product2
1:1Heyday product catalogue data sourced from connected e-commerce integrations maps to Salesforce Product2 records. We preserve the product name, SKU (mapped to ProductCode), and description. Product2 is required before we can link products to Cases or Opportunities, so Product2 import runs before Case import if products appear in Heyday conversation context. Heyday-specific product attributes such as recommendation scores or category tags not native to Salesforce Product2 map to custom fields on Product2.
Heyday AI
Order
Salesforce Service Cloud
Custom field on Contact or Case
lossyHeyday does not natively store order records; order references come from e-commerce platform integrations (Shopify, Salesforce Commerce Cloud, BigCommerce) that are connected to Heyday for real-time order-status queries during conversations. We extract order reference numbers and status from Heyday conversation context and map them to a custom text field order_reference__c on the Case and a custom text field last_order_reference__c on the Contact. For customers who want full order history migrated, we recommend a separate order data extract from the e-commerce platform and a parallel order migration scope outside the Heyday-to-Service-Cloud engagement.
Heyday AI
Automation Rules
Salesforce Service Cloud
Flow + Einstein Bot (rebuild)
lossyHeyday FAQ automation flows, keyword triggers, conditional routing logic, and bot training data are configuration artifacts inside Heyday's conversational flow builder and cannot be exported as data. We document every observed automation rule during the discovery phase (trigger conditions, branching logic, fallback actions, deflection targets) and deliver a written automation specification that the customer's Service Cloud admin uses to rebuild equivalent logic in Salesforce Flow and Einstein Bot. This is a manual rebuild scope; we do not write Flow or Einstein Bot configurations as part of standard migration delivery.
Heyday AI
Integrations
Salesforce Service Cloud
Custom fields, external data sources, or connected apps
lossyHeyday connects to e-commerce platforms (Shopify, BigCommerce, Salesforce Commerce Cloud, WooCommerce), social channels (Instagram, Facebook Messenger, WhatsApp), and order tracking systems. During discovery we audit active integrations and their purpose. We document each active integration's function, the data it provides to Heyday, and its recommended replacement in Salesforce: e-commerce product and order data maps to Salesforce Commerce Cloud or a Product2/custom integration; social channels map to Service Cloud Omni-Channel Digital Channels; order tracking maps to custom fields or external data sources. Integration rebuild is outside migration scope unless a specific API-level integration is requested as part of the engagement.
Heyday AI
Agent Profiles
Salesforce Service Cloud
User
1:1Heyday human agent accounts and assignment rules are extracted from Hootsuite admin APIs where accessible. We map agent identities to Salesforce User records by email match. Heyday-specific roles (bot owner, conversation manager, escalation handler) do not have direct Salesforce equivalents and are documented as a role-mapping exercise for the customer's admin to resolve against Salesforce profiles (Agent, Supervisor, Admin). Any Heyday agent without a matching Salesforce User is held in a reconciliation queue for provisioning before the production cutover.
Heyday AI
Tags and Labels
Salesforce Service Cloud
Custom picklist fields on Case
lossyHeyday conversation tagging schemas are implementation-specific and vary by customer. We extract the tag taxonomy used in Heyday (channel tags, intent tags, sentiment labels, resolution tags) and map them to Salesforce custom picklist fields on Case (heyday_channel_tag__c, heyday_intent_tag__c, heyday_sentiment__c, heyday_resolution_tag__c). Multi-select picklist is used if conversations can carry multiple tags of the same type. The customer chooses which Heyday tags to preserve; we do not migrate tags that represent Heyday-internal status rather than business-meaningful classification.
Heyday AI
Conversation Metrics
Salesforce Service Cloud
Custom fields on Case
lossyHeyday captures conversation-level metrics such as bot deflection rate, human agent handoff timestamp, conversation duration, message count, and customer satisfaction score. We map these to custom fields on the Case record: heyday_deflection__c (checkbox), heyday_handoff_timestamp__c (datetime), heyday_duration_minutes__c (number), heyday_message_count__c (number), heyday_csat_score__c (number). These fields are populated at Case creation during migration to preserve the operational metricsHeyday tracked, enabling reporting continuity post-migration.
Heyday AI
FAQ Knowledge Content
Salesforce Service Cloud
KnowledgeArticleVersion
1:manyIf Heyday stores structured FAQ articles or knowledge content (distinct from conversational flow logic), we map these to Salesforce Knowledge with article types scoped to the customer's service categories. Heyday article title maps to KnowledgeArticleVersion Title; article body maps to KnowledgeArticleVersion Details field; article URLName becomes the Salesforce UrlName. Article visibility is set to All internal users or specific customer-facing channels depending on the destination Service Cloud portal scope. This mapping requires confirmed Heyday knowledge base export availability; if content lives only inside bot training prompts rather than as standalone articles, it does not have a clean export path and is flagged as a manual content rebuild item.
| Heyday AI | Salesforce Service Cloud | Compatibility | |
|---|---|---|---|
| Conversation | Case + EmailMessage1:many | Fully supported | |
| Customer | Contact + Account1:many | Fully supported | |
| Product | Product21:1 | Fully supported | |
| Order | Custom field on Contact or Caselossy | Fully supported | |
| Automation Rules | Flow + Einstein Bot (rebuild)lossy | Not supported | |
| Integrations | Custom fields, external data sources, or connected appslossy | Mapping required | |
| Agent Profiles | User1:1 | Mapping required | |
| Tags and Labels | Custom picklist fields on Caselossy | Mapping required | |
| Conversation Metrics | Custom fields on Caselossy | Fully supported | |
| FAQ Knowledge Content | KnowledgeArticleVersion1:many | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Heyday AI gotchas
No documented public API for data export
Pricing requires sales consultation
Automation rules and bot logic do not export
Limited public documentation on schema
Salesforce Service Cloud gotchas
Data Export 512MB file size cap breaks large org exports
API Daily Request Limits vary by license edition
No automatic data backup in base Salesforce
Picklist dependencies silently break records when unmapped
Workflow rules fire unexpectedly during data load
Pair-specific challenges
Migration approach
Discovery and extraction feasibility assessment
We audit the Heyday environment via Hootsuite admin access (where available) to enumerate active channels, customer record volume, conversation history range, active automation rules, and e-commerce integration points. We pair this with a Salesforce edition assessment: Service Cloud Starter ($25/user) covers basic case management; Professional ($75/user) adds Omni-Channel and Knowledge; Enterprise ($150/user) adds Einstein Bot, Flow, and advanced entitlement. The discovery output is a written migration scope that includes a confirmed data extraction plan from Heyday or a documented open item for Hootsuite backend assistance.
Schema design in Salesforce Sandbox
We design the destination Service Cloud schema in a Salesforce Sandbox. This includes Case Page Layouts with relevant status and priority values mapped from Heyday conversation outcomes, custom fields for Heyday-specific attributes (deflection flag, intent tag, CSAT score, order reference), Contact custom fields for Heyday customer properties, a Salesforce Knowledge article type structure mapped from Heyday FAQ content if available, and User profiles scoped to the Heyday agent role taxonomy. Schema deploys via metadata API into Sandbox first; customer validation and sign-off occurs before production migration begins.
Heyday data extraction
We coordinate with the customer's Hootsuite admin to extract available Heyday data. This may include admin UI conversation logs (CSV of summary fields), customer profile export from connected e-commerce platforms, bot automation rule documentation, and FAQ article export. We work directly with Hootsuite support if backend extraction is required. This phase is sequenced before production migration to avoid a scenario where Salesforce is live but Heyday data cannot be fully extracted. We flag any fields or objects that cannot be extracted from Heyday and document them as manual-entry or rebuild items in the migration scope.
Sandbox migration and reconciliation
We run a full migration into the Salesforce Sandbox using the extracted Heyday data at production-like volume. The customer's Service Cloud admin reviews record counts (Cases in, Contacts in, Products in), spot-checks 25-50 records for field-level accuracy against Heyday source data, and validates that automation specifications are correctly documented. Any mapping corrections, missing fields, or schema adjustments happen here. The admin signs off the Sandbox validation before we schedule the production cutover date.
Production migration in dependency order
We run production migration in record-dependency order: Product2 (first, because Cases can reference products), Account (if organizational hierarchy exists), Contact (with AccountId resolved), Case (with ContactId and AccountId resolved), EmailMessage (threaded to Case via ParentId), and Knowledge articles (if extracted from Heyday). Knowledge article migration runs last because articles may reference migrated Contacts or Cases. Each phase emits a row-count reconciliation report before the next phase begins. Active Heyday conversations are frozen during cutover to prevent data written after the extraction window from being lost.
Cutover, validation, and automation rebuild handoff
We freeze Heyday writes during the cutover window, run a final delta migration of any records modified since the extraction phase, then enable Salesforce Service Cloud as the system of record for customer support. We deliver the automation specification document (documented Heyday flows, triggers, routing logic, and deflection rules with recommended Salesforce Flow and Einstein Bot equivalents) to the customer's Service Cloud admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild Heyday automation rules as Salesforce Flow or Einstein Bot configurations inside the migration scope; that is a separate implementation engagement.
Platform deep dives
Heyday AI
Source
Strengths
Weaknesses
Salesforce Service Cloud
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 2 of 7 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Heyday AI and Salesforce Service Cloud.
Object compatibility
2 of 7 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Heyday AI: Not publicly documented.
Data volume sensitivity
Heyday AI doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
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FAQ
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