Helpdesk migration

Migrate from Heyday AI to Salesforce Service Cloud

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 logo

Heyday AI

Source

Salesforce Service Cloud

Destination

Salesforce Service Cloud logo

Compatibility

20%

2 of 10

objects map 1:1 between Heyday AI and Salesforce Service Cloud.

Complexity

CModerate

Timeline

5-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Heyday AI logo

Heyday AI

What's pushing teams away

  • Lack of a documented standalone public API makes Heyday difficult to integrate with custom internal tools or migrate away from without vendor assistance
  • Pricing requires direct sales consultation rather than transparent published tiers, which creates friction for SMBs evaluating cost
  • When Heyday's AI cannot resolve a query, routing to human agents can feel inconsistent, and some reviews note response quality drops on complex issues
  • Brands outgrowing generic retail FAQ automation need deeper customisation or vertical-specific workflows that Heyday does not provide
  • The platform is tightly coupled to Hootsuite; brands seeking a standalone conversational AI or a platform with richer API access look to alternatives

Choosing

Salesforce Service Cloud logo

Salesforce Service Cloud

What's pulling them in

  • Deep Salesforce ecosystem integration with Sales Cloud, Marketing Cloud, and custom Apex apps creates a single pane of glass for enterprise customer data and cross-functional workflows.
  • Omnichannel case routing — email, chat, phone, social, and messaging — unified under one case object means agents do not lose context when customers switch channels mid-interaction.
  • AI for customer service (Einstein AI / Agentforce) offers automated case classification, suggested replies, and chatbot routing that reduces Tier-1 ticket volume without manual rule authoring.
  • Entitlement and milestone tracking enforces SLA compliance natively, automatically calculating breach windows and surfacing violations to supervisors in dashboards.
  • Salesforce's massive AppExchange ecosystem provides pre-built connectors, industry-specific managed packages, and third-party tools that extend Service Cloud beyond its out-of-box capabilities.

Object mapping

How Heyday AI objects map to Salesforce Service Cloud

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

maps to

Salesforce Service Cloud

Case + EmailMessage

1:many
Fully supported

Heyday 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

maps to

Salesforce Service Cloud

Contact + Account

1:many
Fully supported

Heyday 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

maps to

Salesforce Service Cloud

Product2

1:1
Fully supported

Heyday 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

maps to

Salesforce Service Cloud

Custom field on Contact or Case

lossy
Fully supported

Heyday 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

maps to

Salesforce Service Cloud

Flow + Einstein Bot (rebuild)

lossy
Not supported

Heyday 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

maps to

Salesforce Service Cloud

Custom fields, external data sources, or connected apps

lossy
Mapping required

Heyday 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

maps to

Salesforce Service Cloud

User

1:1
Mapping required

Heyday 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

maps to

Salesforce Service Cloud

Custom picklist fields on Case

lossy
Mapping required

Heyday 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

maps to

Salesforce Service Cloud

Custom fields on Case

lossy
Fully supported

Heyday 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

maps to

Salesforce Service Cloud

KnowledgeArticleVersion

1:many
Fully supported

If 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.

Gotchas + challenges

What specifically takes care here

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 logo

Heyday AI gotchas

High

No documented public API for data export

Medium

Pricing requires sales consultation

High

Automation rules and bot logic do not export

Medium

Limited public documentation on schema

Salesforce Service Cloud logo

Salesforce Service Cloud gotchas

High

Data Export 512MB file size cap breaks large org exports

High

API Daily Request Limits vary by license edition

High

No automatic data backup in base Salesforce

Medium

Picklist dependencies silently break records when unmapped

Medium

Workflow rules fire unexpectedly during data load

Pair-specific challenges

  • Heyday has no public export API

    Heyday AI does not publish a standalone API in public developer documentation. Conversation history, customer profiles, automation rules, and bot training data cannot be pulled via standard API calls. We work with the customer's Hootsuite admin to extract whatever is available through the Heyday admin UI or by requesting a backend export from Hootsuite support. This manual extraction phase adds one to three weeks to any migration project and is the single largest schedule risk. We flag the extraction timeline as an open item during scoping and recommend that customers open a Hootsuite support ticket requesting a full data export as early as possible.

  • Conversation history requires manual extraction

    Heyday conversation threads and message-level history are not exposed in the admin UI for bulk download. Only summary-level conversation logs may be accessible, and granular message timestamps, agent responses, and bot-vs-human attribution may not be exportable without Hootsuite backend involvement. We map what is extractable to the Case-EmailMessage model, but we are explicit with the customer during scoping about which data fields will and will not be recoverable from the conversation history. If complete conversation threading is a compliance or audit requirement, this must be raised before engagement start.

  • Automation rules and bot logic do not migrate

    Heyday FAQ automation flows, keyword triggers, routing logic, and trained bot responses are configuration artifacts inside Heyday's conversational builder and have no export mechanism. Any investment in bot training, intent classification, deflection rules, or escalation logic must be recreated from scratch in Salesforce Service Cloud using Flow, Omni-Channel routing rules, and Einstein Bot. We document all observed automation logic during discovery as a written specification, but we do not write Salesforce Flow or Einstein Bot configurations as part of standard migration delivery. The customer's Service Cloud admin or a Salesforce implementation partner rebuilds these post-migration.

  • Service Cloud licensing and add-on costs

    Salesforce Service Cloud pricing is per-user and tiered, with base Agent and Supervisor licenses starting at $25 per user per month and higher tiers adding features. Einstein Bot, Service Cloud Voice, and Knowledge are separate paid add-ons. Organizations migrating from Heyday to Service Cloud should budget for per-user licensing on top of migration fees and plan which add-ons are required for equivalent functionality. A Salesforce edition assessment during discovery ensures the customer selects the correct tier before migration begins and avoids mid-project scope changes.

  • Service Cloud KB is not the same as Heyday FAQ content

    If the customer uses Heyday to manage FAQ articles in addition to chatbot automation, those articles need to be identified, extracted, and restructured for Salesforce Knowledge. Service Cloud Knowledge has a structured article type model (with required fields, visibility rules, data categories, and approval workflows) that is more governed than Heyday's FAQ content model. We map what is exportable from Heyday to KnowledgeArticleVersion, but Heyday articles that live only inside bot training prompts rather than as standalone published articles cannot be extracted and must be authored fresh in Salesforce Knowledge.

Migration approach

Six steps for a successful Heyday AI to Salesforce Service Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Heyday AI logo

Heyday AI

Source

Strengths

  • Automates up to 80% of repetitive customer FAQ queries with an always-on AI chatbot
  • Unified inbox combines social and chat channels into a single agent interface
  • Connects to e-commerce platforms, product feeds, and order tracking systems for real-time customer support
  • Provides live chat and video shopping capabilities alongside bot automation
  • Backed by Hootsuite's enterprise infrastructure and global support network

Weaknesses

  • No standalone public API documented for data export or third-party integrations
  • Pricing is not publicly available and requires a sales consultation to obtain
  • Automation rules and bot training data cannot be exported and must be rebuilt from scratch at the destination
  • Platform is tightly coupled to Hootsuite; standalone use cases are limited
  • Limited information in public sources about custom object support or enterprise configuration options
Salesforce Service Cloud logo

Salesforce Service Cloud

Destination

Strengths

  • Enterprise-grade security, compliance certifications, and audit logging available across all paid editions with Shield offering enhanced event monitoring.
  • Scalable multi-tenant cloud architecture supporting orgs from 5 users to 150,000+ seat enterprises without infrastructure management overhead.
  • Omnichannel contact center unifying email, live chat, phone, messaging, and social into a single Case timeline per customer interaction.
  • Rich workflow automation via Salesforce Flow, Process Builder, and Apex triggers enabling complex case escalation, routing, and field updates.
  • Native AI capabilities (Agentforce / Einstein) for case auto-routing, classification, suggested responses, and chatbot escalation without third-party add-ons.

Weaknesses

  • Per-seat pricing model with no contact limits creates unpredictable cost scaling for large organizations adding many agents over time.
  • No automatic data backup — organizations must purchase a third-party backup solution or build manual Data Loader exports to protect against data loss from human error, failed deployments, or integrations overwriting records.
  • Steep learning curve for non-technical users requiring dedicated admin resources and formal training investment before teams reach productive velocity.
  • Annual contract requirements and limited pro-ration on exit create significant switching cost friction, especially for organizations evaluating alternatives mid-cycle.
  • Add-on licensing (CPQ, Einstein Activity Capture, Shield, Data Cloud) can double effective per-seat cost without clear documentation of which features are included in base tiers.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 2 of 7 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Heyday AI and Salesforce Service Cloud.

  • Object compatibility

    C

    2 of 7 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Heyday AI: Not publicly documented.

  • Data volume sensitivity

    B

    Heyday AI doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Heyday AI to Salesforce Service Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Heyday AI to Salesforce Service Cloud data migrations

Answers to the questions buyers ask most during Heyday AI to Salesforce Service Cloud migration scoping. Not seeing yours? Book a call.

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Conversation history migrates where it can be extracted from Heyday. Heyday has no public bulk-export API, so extraction depends on whether the admin UI provides downloadable conversation logs or whether Hootsuite support can provide a backend export. If granular message-level data (timestamps, agent responses, bot attribution) is accessible, we map it to Salesforce Case records with threaded EmailMessage entries. If only summary-level conversation data is available, we migrate the Case parent record with available metadata and flag that message-level history cannot be fully reconstructed. We are explicit during scoping about what will and will not migrate from the conversation history.

Adjacent paths

Related migrations to explore

Ready when you are

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