Podium to SurveySparrow requires API-based ETL — no native path exists. Extract conversations, transform into tickets with comments, and load via SurveySparrow's v3 API.
There is no native migration path between Podium and SurveySparrow Ticket Management — no built-in importer, pre-built connector, or CSV upload covers the full scope. Podium's data model centers on continuous, channel-based conversations (SMS, webchat, phone) organized by locations, while SurveySparrow structures work as discrete tickets with formal lifecycle stages, priorities, and assignees. Migrating requires a custom ETL pipeline: extracting data via Podium's REST API (v4) or CSV export, transforming conversations into individual tickets with generated subject lines and inferred statuses, and loading them through SurveySparrow's v3 API — as ticket creation has no CSV import path.
Read this first
Pair-specific gotchas that catch teams out. Each one has cost somebody a weekend.
TL;DR: Podium → SurveySparrow Migration
There is no native migration path between Podium and SurveySparrow Ticket Management. Podium conversations must be extracted via API or FTP, transformed into discrete tickets with comments, and loaded through SurveySparrow's v3 API. CSV handles contacts; tickets require API work. Budget for a custom ETL pipeline or a managed migration service.
No native importer exists
Neither Podium nor SurveySparrow offers a built-in migration tool for this direction. SurveySparrow's own support model explicitly lists migrations, data work, and custom integrations as out of scope. (support.surveysparrow.com) Plan for API-based or CSV-intermediary migration from day one.
Subject lines don't exist in Podium
Podium SMS messages have no subject field. SurveySparrow requires a ticket subject capped at 200 characters. Generate subjects during the ETL process — either truncate the first message body or use a pattern like "SMS Conversation - {contact_name} - {date}".
Email is effectively mandatory
SurveySparrow's CSV importer requires email for every contact. The API may allow creation without email in some configurations, but practically, treat email as required. Podium is SMS-first — many contacts have only a phone number. Enrich these contacts pre-migration, generate placeholder emails (e.g., +15551234567@placeholder.migration), or skip contacts that won't need tickets.
FTP schema is underdocumented
Podium does not publish formal FTP schema documentation. The column names above are based on observed exports. Always validate column headers against your actual FTP files before building transformation logic. Column names, ordering, and available tables may vary by Podium account configuration and version.
Podium's 24-hour envelope quota is silent
You won't get a warning before hitting it. The exact threshold is not publicly documented and may vary by account. Monitor your daily call count and build in a safety margin of at least 20%. If you breach it, all endpoints return 429 until reset (observed reset period: 24 hours from first call, not from breach).
The runbook
Work top to bottom. Tick steps as you go — your progress is saved in this browser.
01 Discovery Establish why you are moving, what "done" means, and who signs off.
Objective A written scope with agreed success criteria, a named owner per workstream, and a budget approved by finance.
Keep these open
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Pull the real numbers out of Podium
Export counts for tickets (open and closed separately), contacts, organisations, attachments, macros, triggers, automations, views and SLA policies. Note the oldest ticket date — history depth drives the whole timeline. Estimating from memory is the single most common cause of a blown migration window.
Data Profiler Get real record counts instead of estimating from memory -
Decide what history actually moves
Agree a cut-off with the support lead: all history, last 24 months, or open tickets plus a read-only archive. Every extra year of closed tickets adds API time and cost without adding much agent value. Get this in writing — it is the decision people relitigate mid-cutover.
A "move everything" default is what turns a two-week migration into a two-month one.
COI & ROI Calculator Build the 36-month business case you will need for sign-off -
Confirm Surveysparrow Ticket Management can hold your support model
Walk your current workflow through Surveysparrow Ticket Management: multi-brand, business hours, SLA targets, CSAT, side conversations, public vs internal notes, and any channel you depend on (voice, chat, WhatsApp, social). List anything with no native equivalent — those are project risks, not configuration details.
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Build the business case
Model licence delta, migration effort, agent retraining, and the cost of staying put (Cost of Inaction). Executives approve a number, not a plan, and you will be asked for it again at the go/no-go.
Helpdesk Migration Planner Turn ticket volume into a dated Podium → Surveysparrow Ticket Management timeline -
Name owners and set the go/no-go date
One named owner each for data, configuration, integrations, and agent enablement, plus a decision-maker who can call a rollback. Put the go/no-go meeting in calendars now, 48 hours before the freeze.
Podium → Surveysparrow Ticket Management specifics
- Feedback loop closure
- Podium captures customer interactions but doesn't structure them into trackable, resolvable tickets. SurveySparrow creates actionable tickets from survey responses and routes them through SLA-tracked workflows.
- Cost consolidation
- Teams already using SurveySparrow for NPS, CSAT, or employee surveys want a unified platform for follow-up actions, rather than paying separately for Podium's messaging stack.
- Structured support operations
- Podium conversations are open-ended messaging threads. SurveySparrow tickets have discrete lifecycle stages (Open → In Progress → Resolved → Closed), priority levels, assignees, and due dates — giving operations leads visibility that Podium's inbox does not provide.
- Survey-driven ticket creation
- SurveySparrow's workflow engine auto-creates tickets from detractor scores or specific survey responses. Teams moving toward a feedback-first operating model find this a better fit than Podium's text-first approach.
- Small business (<5K contacts, history not critical)
- Preload contacts via CSV and start fresh in SurveySparrow.
Don't move on until
- Record counts confirmed for tickets, contacts, organisations and macros
- Success criteria signed off by the support lead
- Freeze window provisionally booked with the business
02 Data Audit Find out what is actually in the data before you try to move it.
Objective A profiled, cleaned export with every quality defect either fixed at source or explicitly accepted.
Keep these open
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Take a full Podium export and profile it
Export to CSV or JSON and profile every file: row counts, null rates per column, distinct values, and type consistency. Compare row counts against the API totals from Discovery — a gap here means your export is silently truncated, usually by pagination.
Data Profiler Profile the Podium export for nulls, outliers and type drift -
Validate file structure before anyone writes a transform
Check delimiters, quoting, encoding (expect UTF-8, watch for BOMs and Latin-1), duplicate headers, and embedded newlines in ticket bodies. Ticket descriptions with raw newlines and commas break naive CSV parsers and silently shift columns.
A single unescaped quote in one ticket body can shift every subsequent column without any error.
CSV Validator Catch broken headers and ragged rows in the raw export -
Inventory PII and set retention
Scan for emails, phone numbers, payment card fragments, national IDs and anything else regulated in ticket bodies and custom fields — support tickets are where customers paste things they should not. Decide what gets migrated, masked, or dropped, and record the legal basis.
Ticket bodies and attachments routinely contain card and ID data that never appears in a structured field.
PII & Compliance Scanner Find regulated fields before they land in a new system -
Quantify duplicates, orphans and dead references
Count duplicate contacts (same email, different casing), tickets whose requester no longer exists, organisations with no members, and attachments whose parent ticket is gone. Fix these in Podium where you can — migrating them just moves the mess.
Data Cleaner Strip empty rows, stray whitespace and dead columns -
Clean and normalise the export
Trim whitespace, drop empty rows and columns, normalise casing on emails and tags, and standardise every timestamp to UTC ISO 8601. Timezone drift is invisible at load time and shows up weeks later as SLA reports nobody can reconcile.
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Produce a masked copy for sandbox work
Generate a realistic but fake version of the export for testing and for any vendor who needs sample data. Loading real customer PII into a sandbox is a breach in most jurisdictions, and sandboxes are rarely covered by your DPA.
PII Masker Generate a safe copy for sandbox and vendor testing -
Clean up placeholder emails
Query contacts with email_placeholder: true custom property. Enrich or remove as appropriate.
Podium → Surveysparrow Ticket Management specifics
- Authentication
- OAuth 2.0 via developer.podium.com. Developer account requires approval (allow 2–5 business days). (docs.podium.com)
- Rate limits
- Per-endpoint rate limits apply. Podium returns 429 with a Retry-After header (supports both integer seconds and HTTP-date format). A 24-hour envelope quota also applies silently — Podium does not return a warning header before you hit it, and does not document the exact threshold publicly. Monitor your daily call count.
- Pagination
- Cursor-based. Podium does not return a total record count in paginated responses — you cannot calculate a progress percentage during extraction. Track pages processed instead.
- Key endpoints
- GET /v4/contacts, GET /v4/conversations, and conversation messages per conversation UID.
Don't move on until
- Export parses cleanly with no ragged rows or encoding errors
- PII inventory complete and retention decisions recorded
- Duplicate and orphan records quantified and triaged
03 Field Mapping Turn two schemas into one signed-off mapping spec.
Objective A reviewed field-level mapping covering every object, with an explicit decision for every field that has no target.
Keep these open
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Generate the first-pass Podium → Surveysparrow Ticket Management field map
Start from an automated match on both schemas, then review every row by hand. Automated matching gets the obvious 70% right and is confidently wrong on the rest — especially anything named "type", "status" or "custom_field_1".
Schema Mapper Opens pre-loaded with the Podium → Surveysparrow Ticket Management field pair -
Map status, priority and channel values, not just field names
Enumerate every value in each picklist on both sides and map them explicitly. Value-level mismatches are the defect class that survives all the way to production because the field itself mapped fine — a ticket that should be "Pending" arriving as "Open" reopens SLA clocks.
Statuses with no target equivalent (on-hold, pending-customer) need a policy decision, not a best guess.
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Decide how custom fields land
Create the target custom fields first, matching type exactly (a dropdown mapped to free text can never be mapped back). Where Surveysparrow Ticket Management has no equivalent, decide between a new custom field, a tag, or a note appended to the ticket body — and record which.
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Resolve identity and threading
Decide how source IDs are preserved — most platforms will not let you set the primary key, so keep the original ID in a custom field. Without it, reconciliation becomes fuzzy matching and every future support question about an old ticket is unanswerable.
Losing the original ticket ID makes reconciliation and rollback effectively impossible.
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Plan attachments, inline images and threading order
Confirm size limits, allowed MIME types, and whether inline images survive as attachments or need rehosting. Decide the comment ordering and author attribution rules: comments loaded out of order, or all attributed to the API user, destroy the conversation history agents rely on.
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Freeze and sign off the mapping spec
Version the spec, walk the support lead through it row by row, and get explicit sign-off. Any change after this point goes through change control — mid-flight mapping edits are how partial loads happen.
Don't move on until
- Every source field is mapped, deliberately dropped, or parked in a custom field
- Status, priority and channel value maps agreed with the support lead
- Mapping spec version-controlled and signed off
04 Test Migration Prove the pipeline on a small, representative slice.
Objective A pilot load into a Surveysparrow Ticket Management sandbox that reconciles cleanly and has been reviewed by real agents.
Keep these open
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Stand up a Surveysparrow Ticket Management sandbox that matches production config
Create the custom fields, groups, brands, business hours and SLA policies first. A pilot into a default sandbox tests nothing, because the failures you care about are all configuration mismatches.
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Pick a deliberately nasty pilot sample
Take 500-1000 records chosen for difficulty, not convenience: the longest ticket threads, tickets with the most attachments, non-Latin character sets, merged and split tickets, deleted requesters, and every status value. A clean random sample proves only that easy records are easy.
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Run the load with masked data and instrument everything
Log every API request and response with its source record ID. When 40 records fail out of 10,000 you need to know exactly which ones and why, without re-running the whole batch.
PII Masker Never load real customer PII into a sandbox -
Measure real throughput against the rate limit
Record achieved records-per-hour under Surveysparrow Ticket Management's actual rate limits, including retries and backoff. Extrapolate to the full volume: if the maths says the full load exceeds your freeze window, you fix that now, not on cutover night.
Published rate limits are ceilings, not throughput. Assume real-world rates are meaningfully lower once retries and backoff are counted.
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Reconcile the pilot and triage every failure
Diff source against target on record counts and field-level values. Every discrepancy gets a root cause and a fix — "probably fine" at pilot scale becomes thousands of broken records at full scale.
Migration Validation Tool Diff the pilot batch against source before scaling up -
Put real agents in front of the pilot data
Have two or three agents work sample tickets end to end in the sandbox. They find the things reconciliation cannot see: unreadable threading, missing context, macros that no longer make sense. Fix the mapping, then re-run.
Don't move on until
- Pilot batch reconciles to 100% on record counts
- Agents have reviewed sample tickets and confirmed they are workable
- Measured throughput extrapolates to a viable full-load window
05 Cutover Execute the switch inside a controlled, reversible window.
Objective All in-scope data live in Surveysparrow Ticket Management, agents working in the new system, and a rollback path that stayed available throughout.
Keep these open
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Pre-load history before the freeze
Load closed tickets and contacts days or weeks ahead while Podium stays live. Only open tickets and the final delta need to move inside the freeze — this is the single biggest lever on window length.
Helpdesk Migration Planner Size the freeze window from Surveysparrow Ticket Management's real API limits -
Publish the runbook with times, owners and abort criteria
A timed sequence: freeze start, final export, delta load, channel switch, smoke test, go/no-go, agent switch. Name who does each step and the explicit condition that triggers a rollback. Decide the abort criteria before the night, when nobody wants to be the one to call it.
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Freeze Podium and take the final delta
Stop new ticket creation, let agents finish in-flight replies, then export everything changed since the pre-load. Announce the freeze to the whole business, not just support — someone always tries to raise a ticket during it.
Tickets created during an unenforced freeze land in the old system and are the most common source of permanently lost data.
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Load the delta and open tickets
Run the delta load, then reconcile counts before touching any channel. Do not repoint email until the delta has verified — an inbound ticket arriving mid-load is far harder to untangle than a few extra minutes of freeze.
Migration Validation Tool Confirm the final delta landed before you reopen -
Repoint channels and verify with live traffic
Switch email forwarding and MX or connector settings, update chat widgets and web forms, and re-authorise integrations. Then send real test tickets through every channel and confirm each lands, routes and triggers the right automation.
Email forwarding changes can take up to a full DNS TTL to propagate — check the TTL days in advance and lower it if needed.
Cron Expression Builder Schedule the delta syncs that run through the freeze -
Run the go/no-go and switch the agents
Walk the exit criteria with the decision-maker, call it explicitly, then move agents over with a named person on hand for the first few hours. Keep Podium read-only rather than cancelled — cancelling the old contract on day one removes your only fallback.
Don't move on until
- Full historical load complete and counts matched
- Inbound channels repointed and verified with live test tickets
- Rollback decision point passed explicitly, not by default
06 Validation Prove the migration is complete, then close it out.
Objective Documented evidence that data, workflow and reporting all survived, and a signed acceptance.
Keep these open
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Run the full reconciliation
Compare source and target on every object: total counts, counts by status, counts by group, attachment counts, and field-level spot checks on a random sample. Produce one report you can hand to an auditor.
Migration Validation Tool Reconcile Podium and Surveysparrow Ticket Management record-for-record -
Verify field completeness, not just record counts
Re-profile the loaded data and compare null rates per field against the source profile. Matching record counts with a field that silently arrived empty is the failure mode counts alone will never catch.
Data Profiler Prove field completeness held up through the load -
Rebuild reporting and compare against baselines
Recreate your core dashboards — volume, first response time, resolution time, CSAT — and compare to pre-migration figures for the same period. Explain every variance; a changed SLA calculation is a real finding, not a rounding error.
SLA and first-response metrics are usually recalculated from the loaded timestamps, so they will differ if any timestamp mapping was approximate.
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Test the workflow layer end to end
Fire every trigger, automation, SLA escalation, macro and notification with a live ticket. Workflow does not migrate — it gets rebuilt — so it is untested until someone has actually watched it run.
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Confirm compliance and produce the audit trail
Re-scan the loaded data for regulated fields, confirm retention and deletion policies are configured in Surveysparrow Ticket Management, and file the evidence with your PII decisions from the audit phase.
PII & Compliance Scanner Produce the compliance evidence your auditor will ask for -
Sign off, then decommission on a schedule
Get written acceptance against the Discovery success criteria. Keep Podium read-only for an agreed period (30-90 days is typical), take a final archive export, and only then cancel. Diarise the decommission date so it does not quietly renew.
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Disable and re-enable webhooks
If you disabled SurveySparrow webhooks during bulk loading, re-enable them now. Verify they fire correctly on a test ticket update.
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Rebuild workflows
SurveySparrow's ticket workflows (auto-assignment, SLA rules, escalations) must be configured from scratch. Podium's routing logic doesn't export. If automations are part of scope, see our workflow migration guide.
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Configure SLA policies
Set response time and resolution time targets per priority level.
Podium → Surveysparrow Ticket Management specifics
- Sample 5% of records
- (minimum 100) and compare field-by-field between source and target.
- Train agents
- SurveySparrow's ticket interface differs significantly from Podium's conversation view. Budget 1–2 days for team onboarding. Key differences agents will notice: no inline SMS reply, ticket-based (not thread-based) workflow, separate internal notes vs. public comments.
- Decommission Podium
- Only after validation is complete and agents are fully transitioned. Export a final backup (CSV + FTP) before canceling. Retain the backup for at least 90 days.
Don't move on until
- Full reconciliation report attached to the project record
- Reporting baselines match pre-migration figures within agreed tolerance
- Formal acceptance signed and archive retention scheduled
Field mapping reference
The field-by-field mapping for each object. Use this as the starting point for your mapping spec.
Object SurveySparrow Equivalent
| Podium field | Surveysparrow Ticket Management field | Notes |
|---|---|---|
| Contact | Contact | Direct mapping. Email effectively required for SurveySparrow contact creation. |
| Conversation | Ticket | Each conversation becomes one ticket. Subject derived from first message body or channel type. |
| Conversation Messages | Ticket Comments | Individual messages become comments. Sender direction (inbound/outbound) preserved as comment type. |
| Internal Notes | Ticket Internal Notes | Direct mapping where supported. |
| Location | Contact List or Custom Field | No structural equivalent. Map as a custom contact property or use contact lists to group by location. |
| Tags | Custom Ticket Field (Multiselect) | Flatten to comma-separated or map each tag to a contact list. |
| Reviews | None | Archive before migration. SurveySparrow has no review management equivalent. |
| Payments | None | Archive before migration. Extract to a data warehouse or append as plain-text notes. |
| Campaigns | None | Archive before migration. Rebuild as SurveySparrow survey shares if needed. |
Podium SurveySparrow
| Podium field | Surveysparrow Ticket Management field | Notes |
|---|---|---|
| name | full_name | Split first/last if SurveySparrow requires separate fields. |
| phone | phone | Include country code. Format to E.164 before import. |
| Effectively required. Podium contacts are often phone-only. Expect 20–40% to lack email based on typical SMS-first Podium deployments. | ||
| contact_status | Custom property | Map to a custom contact property. |
| address | Custom property | No native address field in SurveySparrow contacts. |
| tags | Custom property or Contact List | Flatten to comma-separated or map each tag to a contact list. |
| date_added | created_at | SurveySparrow may override with import timestamp. CSV importer expects MM-DD-YYYY or YYYY-MM-DD. |
| Custom fields (up to 8) | Custom contact properties | Create matching custom properties in SurveySparrow before import. |
Conversations Tickets
Continuous conversation threads must be transformed into discrete tickets with synthesized subjects, inferred statuses, and default priorities, with no CSV import path available — only API-based creation.
| Podium field | Surveysparrow Ticket Management field | Notes |
|---|---|---|
| First message body | subject + description | Subject truncated (SurveySparrow caps at 200 characters). Full body goes to description. (developers.surveysparrow.com) |
| conversation_channel_type | Custom ticket field | Map SMS/webchat/email/phone to a dropdown. |
| conversation_assigned_user_uid | assignee | Map Podium user UIDs to SurveySparrow user IDs via a lookup table. |
| conversation_inserted_at | created_at | Preserve original timestamp. Verify the API accepts backdated values. |
| conversation_is_inbound_initiated | Custom ticket field | Track whether the conversation was customer-initiated. |
| conversation_originated_from | Custom ticket field | Track webchat URL or origination source. |
| Internal status (inferred) | status | Podium has no formal status. Infer: archived → Closed, unread → Open, else Resolved. Validate against your actual data. |
| None | priority | Podium has no priority concept. Set a default (Medium) during transformation. |
Cus m ETL Pipeline
Podium supports up to 8 custom contact fields that must be pre-created as matching custom properties in SurveySparrow before import, with manual type and value alignment required.
| Podium field | Surveysparrow Ticket Management field | Notes |
|---|---|---|
| contacts | uid, name, phone, email, contact_status, tags, date_added, custom_field_1–custom_field_8 | Primary customer records |
| conversations | uid, contact_uid, location_uid, channel_type, assigned_user_uid, inserted_at, is_archived, is_unread | One row per conversation thread |
| conversation_items | uid, conversation_uid, body, direction, item_type, inserted_at, attachments | Individual messages; item_type distinguishes messages from internal notes |
| feedback_interactions | uid, contact_uid, type, rating, source, inserted_at | Review request and response data |
Plan Calls/Hour (observed)
| Podium field | Surveysparrow Ticket Management field | Notes |
|---|---|---|
| Free/Basic | ~60 | Severely constrains migration |
| Business | ~120 | Baseline for most migrations |
| Enterprise | ~300+ | Contact SurveySparrow for exact limits |
Risk matrix
Per-object risk for this pair. Plan extra validation around anything marked high.
| Object | Risk | Notes |
|---|---|---|
| Contacts | medium | Direct field mapping is straightforward, but the high percentage of phone-only contacts without email addresses creates import failures or requires placeholder email generation. |
| Conversations (Tickets) | high | Continuous conversation threads must be transformed into discrete tickets with synthesized subjects, inferred statuses, and default priorities, with no CSV import path available — only API-based creation. |
| Messages (Ticket Comments) | high | Individual conversation messages must be mapped to ticket comments with correct sender direction, and attachments or inline images are at risk of being lost during transformation. |
| Internal Notes | medium | Direct mapping is possible where SurveySparrow supports internal note comment types, but verifying consistent preservation across all tickets requires validation. |
| Custom Fields | medium | Podium supports up to 8 custom contact fields that must be pre-created as matching custom properties in SurveySparrow before import, with manual type and value alignment required. |
| Tags | medium | Podium's tag arrays have no direct equivalent and must be flattened to comma-separated custom field values or mapped to individual contact lists, risking loss of granularity. |
| Locations | high | No structural equivalent exists in SurveySparrow, so location-based organization must be approximated through custom properties or contact lists, losing hierarchical context. |
| Reviews | high | SurveySparrow has no review management equivalent, so all Podium review data must be archived externally before migration or it will be permanently lost. |
| Payments | high | SurveySparrow has no payment processing equivalent, requiring payment records to be archived to a data warehouse or appended as plain-text notes on related tickets. |
| Timestamps | medium | Original conversation and contact creation timestamps must be explicitly preserved during API import, as SurveySparrow may override them with the import timestamp if not handled correctly. |
The hard parts
What makes this specific migration difficult, beyond the mechanics.
Conversation-to-Ticket Structure Mismatch
Podium stores customer interactions as continuous threaded conversations across channels, which must be decomposed into discrete SurveySparrow tickets with subject lines, descriptions, priorities, and lifecycle statuses — none of which exist natively in Podium's data model.
Missing Email on Contacts
SurveySparrow effectively requires email addresses for contact creation, but Podium is SMS-first, meaning 20–40% of contacts typically lack email and must be enriched or assigned placeholder addresses before migration.
No Native Ticket CSV Import
While SurveySparrow supports CSV import for contacts, there is no documented self-serve CSV import for tickets, forcing all ticket creation through the v3 API regardless of dataset size.
Subject Line Generation Required
Podium SMS and webchat messages have no subject field, so the ETL process must synthesize ticket subjects by truncating message bodies or generating patterns like 'SMS Conversation - {contact_name} - {date}' within SurveySparrow's 200-character cap.
Status and Priority Inference
Podium has no formal conversation status lifecycle or priority concept, requiring teams to infer ticket statuses from conversation state (e.g., archived → Closed, unread → Open) and assign default priority values during transformation.
Location Hierarchy Has No Equivalent
Podium organizes data by physical business locations, but SurveySparrow has no structural equivalent, so locations must be flattened into custom contact properties or approximated using contact lists.
Tools used in this playbook
All free, all run entirely in your browser — nothing is uploaded.
FAQ
Can I migrate Podium conversations to SurveySparrow via CSV only?
Not for a full-history migration. Podium can export contacts as CSV, and SurveySparrow can import contacts via CSV, but there is no documented self-serve CSV import for tickets in SurveySparrow. Ticket and comment loading must go through SurveySparrow's v3 API. CSV-only migrations lose all conversation threading, attachments, and relational context.
How do Podium Conversations map to SurveySparrow Tickets?
Each Podium Conversation becomes one SurveySparrow Ticket. The first message becomes the ticket subject (truncated to 200 characters) and description. Subsequent messages become ticket comments. Podium has no priority or formal status lifecycle, so you must infer status from flags like isArchived and isUnread, and set a default priority during transformation.
What Podium data cannot be migrated to SurveySparrow?
Reviews, payments, marketing campaigns, and webchat widget configurations have no SurveySparrow equivalent. Location-based organization must be recreated using custom fields, contact lists, or teams. Two-way SMS messaging is not replicated — SurveySparrow is a feedback and ticket platform, not a messaging platform.
How long does a Podium to SurveySparrow migration take?
For a mid-size dataset (10K–50K conversations), expect 2–4 weeks for a custom API-based migration and 80–160 engineer-hours. Timeline is heavily influenced by SurveySparrow's API rate limits (approximately 120 calls/hour on baseline plans) and comment replay having no batch endpoint. A managed migration service can compress this to days.
What is the biggest hidden risk in this migration?
Attachments. Podium message attachment URLs expire after 7 days, so delaying extraction causes permanent data loss. SurveySparrow only accepts pdf, png, jpeg, mp3, csv, and wav attachments up to 15 MB on ticket or comment creation. Files outside these types or over this limit are silently dropped.