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Migrate your Helpshift data

In-app messaging and AI chatbot platform for mobile-first brands. Issues, not tickets, are the core unit — pricing is consumption-based and issue volumes drive migration scoping.

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In its favor

Why people choose Helpshift

The signal that keeps Helpshift on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Mobile-first architecture means native in-app support experiences that web-based ticketing tools cannot replicate for gaming, fintech, and consumer app brands.

AI chatbot and bot automation features let support teams handle high volumes of repetitive queries before routing to human agents, reducing first-response time.

Clear ticket management and workflow automation tools streamline how agents handle issues, with Smart Views and Queues organizing workloads by priority or topic.

Integration via Helpshift SDK embeds support directly inside the mobile application rather than redirecting users to an external portal.

Conversational UI with machine-translation and intent classification provides a consumer-grade chat experience inside mobile apps.

Issue-based pricing makes costs unpredictable as support volume grows — customers report surprise invoices when issue counts spike seasonally or during product incidents.

Migrating automations and Smart Views between environments requires manual reconfiguration since these are not exported as structured data.

SDK migration from legacy versions to SDK X is technically involved, and some features like embedded messaging and guided issue filing are not yet supported in SDK X.

Limited bulk export options in the dashboard mean large data exports require API workarounds or manual CSV downloads.

Analytics export requires navigating multiple sub-sections (Trends, Platforms, Issue-level) with no unified data dump endpoint.

Reasons to switch

Why people leave Helpshift

The recurring reasons buyers give for replacing Helpshift. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Helpshift fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Mobile-native SDK embeds support directly inside iOS and Android apps with no portal redirect.AI chatbot with intent classification and machine translation reduces agent handling time on high-volume queries.Issue-level analytics with Trends and Platform Summary reports surface support performance across channels.Automation and Workflow Management features handle bulk issue operations like auto-tagging and auto-resolving.REST API exposes core objects (Issues, FAQs, Agents, Users) for programmatic access and integration.

Weaknesses

Issue-based pricing model creates unpredictable costs as support volume grows — not a flat-seat model.No native bulk data export in the UI for large volumes — API or manual CSV export required.SDK migration from legacy Helpshift SDK to SDK X drops support for embedded messaging, guided issue filing, and theme customization.Automations, Smart Views, and Queues are workspace configuration, not record data — they require manual rebuild in the destination.Limited documented rate-limit information makes high-volume migration exports difficult to plan reliably.

Where it works

Mobile-first consumer brands — gaming, fintech, and direct-to-consumer apps that need support embedded inside the app without redirecting users to a web portal.High-volume support operations with predictable, repetitive query patterns — AI chatbot and automation handle intake before routing to human agents.Global mobile audiences requiring multilingual support — machine translation and intent classification are native to the conversational UI.Teams using Custom Issue Fields to capture structured customer context — drop-down CIFs with up to 1000 options support detailed issue classification.Organizations with API development resources — REST API provides programmatic access to Issues, Users, Agents, and FAQs for custom integrations.

Where it struggles

Organizations requiring predictable, flat-fee support costs — issue-based pricing creates invoice volatility when support volume spikes seasonally or during incidents.Teams migrating to or from Helpshift — automations, Smart Views, and Queues are workspace configuration not exported as structured data and must be manually rebuilt in the destination.Large-scale data export projects without API development resources — no native bulk export in the dashboard; API workarounds or manual CSV downloads are required.Mature mobile apps currently on legacy Helpshift SDK — migration to SDK X drops embedded messaging, guided issue filing, theme customization, and minimum description length features.High-volume migration exports under time pressure — limited documented rate-limit information makes it difficult to plan and execute large batch exports reliably.

Pricing tiers

Helpshift pricing overview

Helpshift uses an issue-volume pricing model rather than per-seat licensing, making costs directly proportional to support load. Growth plans charge per resolved or created Issue; Enterprise plans are custom contracts with volume commitments. This model is migration-relevant because issue count history must be audited to scope destination platform capacity accurately.

Growth

Tier 1 of 3

Not publicly listed — issue-based, volume-driven

What's included

Per-issue or per-resolution pricingAI chatbot and bot automationMulti-channel support (chat, email, push)Workflow automationsBasic analytics and reporting

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Pricing is informational. FlitStack AI does not bill on Helpshift's schedule — see our quote-based pricing →

What gets migrated

Helpshift object support

Object-by-object support for Helpshift migrations. Per-pair details surface during scoping.

Issues

Fully supported

Issues are the primary object and map 1:1 to standard ticket/case objects in most destination CRMs. We preserve issue status, priority, created/updated timestamps, assignee, and Custom Issue Field values. The key migration work is normalizing Custom Issue Field values that use dropdown or checkbox types.

Custom Issue Fields

Mapping required

Custom Issue Fields (CIFs) are defined per-app and attach to Issues as key-value pairs. Dropdown CIFs are limited to 1,000 options each. We export the full CIF schema from Settings > Workflows and map each field to an equivalent custom property in the destination, flagging any field type that requires translation (e.g. multi-select to array, date picker to datetime).

Users (End-users)

Fully supported

End-users are the consumers submitting Issues. We preserve user identity, email, and metadata fields. Note that user-level metadata can affect seat-based billing in some destination platforms; we annotate records accordingly during import scoping.

Agents

Fully supported

Agents are assigned to Issues and manage the inbox. We export agent identity, role (Admin, Supervisor, Agent), and group associations. Agent-to-issue assignments are preserved at migration time and re-established in the destination using owner/user assignment fields.

Apps

Mapping required

Helpshift Apps define which SDK configurations and settings apply to an issue stream. Multiple apps can feed a single inbox. We export app configuration and flag which apps need to be recreated in the destination platform, as app identity is not portable across different helpdesk systems.

FAQs and FAQ Sections

Fully supported

FAQs are structured knowledge-base articles organized into Sections. Both objects export via the REST API. We preserve article body text, section hierarchy, and publication state. FAQ search relevance and tagging require re-tuning in the destination.

Tags

Fully supported

Tags attach to Issues as a flat label list. We export all tag names and their associated issue IDs. Tags are preserved as Labels or Tags in most destination platforms with no transformation required.

Automations

Mapping required

Automations trigger actions on issue events (create, time-elapsed, keyword match) such as auto-tagging, auto-assigning, or auto-replying. Automations are defined in Workflow Management and are not directly exportable via API. We reconstruct automation logic by documenting rules during discovery and rebuilding them in the destination platform's equivalent feature set.

Smart Views and Queues

Mapping required

Smart Views are saved filter sets that organize Issues into queues for agents. Queues define routing and priority. Both are workspace-configuration data rather than record-level data. We document the filter criteria and queue rules during discovery and re-implement them in the destination using equivalent filter or view features.

Chat / Message History

Mapping required

Chat messages are nested within Issues as conversation events. The REST API exposes message content and timestamps. We export messages as a flattened timeline per issue. Some destinations represent conversations as a separate object; we map to the destination's conversation or activity structure and annotate message authorship (agent vs end-user).

Attachments

Mapping required

Attachments on Issues export as file references with metadata. Large binary files may exceed API payload limits during migration. We download attachments, store them in a migration blob store, and re-attach them in the destination using the platform's file upload API. File size and format restrictions apply by destination.

Conversational User Metadata

Mapping required

Helpshift tracks user-level metadata including device platform, app version, and language. This data is attached to issues rather than stored as a standalone user object. We preserve it by annotating it on the issue record for import into the destination's equivalent user or contact properties.

Gotchas

What to watch for in Helpshift migrations

Issues we've hit on past Helpshift migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

Issue-based pricing is migration-critical for billing planning

High

Automations and Smart Views are not exported via API

High

SDK X migration breaks end-user identity from legacy SDK versions below 6.x

Medium

Custom Issue Field dropdowns cap at 1,000 options

Medium

Dashboard CSV export does not include attachments or full message threads

How a Helpshift migration works

Four steps, Helpshift-specific

Connect

API key (Bearer token via HSAPI) into Helpshift. Scopes limited to read-only on the data we move.

Map

We translate Helpshift-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Helpshift quirks before production.

Migrate

Full migration with Helpshift rate-limit handling. Rollback available throughout.

FAQ

Helpshift migration FAQ

Answers to the questions buyers ask most during Helpshift migration scoping. Not seeing yours? Book a call.

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Most Helpshift migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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