CRM Picks

Best Helpdesk for Mobile Apps (2026)

The best helpdesks for mobile app teams in 2026 — in-app SDKs, crash and session replay attached to tickets, App Store and Play Store review handling, and support that works offline and across app versions.

Gleap

Customer Support & Feedback · From $49/mo (Starter, annual); Team $149; Pro $299; AI billed by token usage

AI-powered customer support and product feedback platform built for SaaS teams that want to close the loop between support and product development.

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Intercom

Customer Support · Essential $29/seat/mo; Advanced $85/seat/mo; Expert $132/seat/mo; Fin AI $0.99/resolved ticket

AI-first customer service platform combining live chat, ticketing, and an autonomous AI agent. Built for software companies that want fast, modern support across web, mobile, and messaging channels.

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Helpshift

Customer Support · Contact vendor for pricing

AI-native player engagement and support platform built exclusively for the gaming industry, combining in-game support SDKs with AI automation and community tools.

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Zendesk

Help Desk · Suite from $55/agent/mo (Team, annual); Support-only from $19/agent/mo

Industry-leading customer support platform combining ticketing, live chat, voice, and help center in the Zendesk Suite. The default choice for scaling support operations, with depth and ecosystem to match.

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Crisp

Customer Messaging · Free plan; paid from $45/workspace/mo

Bootstrapped customer messaging platform that combines live chat, shared inbox, AI chatbots, knowledge base, and a lightweight CRM in one flat-priced workspace. A cost-effective Intercom alternative for growing teams.

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How we picked

Mobile support is diagnosis-limited, not volume-limited. The hard part is not answering the question; it is knowing what actually happened on a device you cannot see, running an OS version you do not control, on a build the user may not have updated in six months. Everything we weighted follows from that. Automatic context capture came first: device model, OS version, app build, locale, network state, recent logs, screenshots, and ideally a session replay attached to the ticket without the user being asked for any of it.

Second, we weighted the engineering handoff. Mobile support tickets convert to bug reports at a far higher rate than web or B2B support tickets do, and the ones that matter most are the ones engineering has to fix. A helpdesk that treats Jira or Linear escalation as an afterthought forces your support team into a manual translation role, and issues fall through the gap. Gleap earns the top slot on this list because it treats that pipeline as the product rather than as an integration.

Third, in-app presence. Support that requires leaving the app loses most of the people who need it. A native SDK keeps the user in context, works with intermittent connectivity, and can proactively message someone who just hit a failure state. We also weighted cost structure, because consumer apps often have enormous user counts against very small revenue per user, and per-seat pricing designed for B2B SaaS does not survive that math.

What to prioritize

A native SDK, not a webview wrapper. It should capture device and build metadata silently, work when the connection drops, respect your app's design, and support push notifications so a reply reaches the user even if they closed the app. Helpshift and Intercom both ship serious mobile SDKs; a chat widget in a webview is a different and worse product.
Screenshot, annotation, and session replay on the report. Let the user circle the broken thing. A visual bug report with a replay of the last thirty seconds eliminates almost all of the back and forth that makes mobile support slow, and it makes the ticket immediately actionable for an engineer.
One-click escalation to Jira or Linear with full context. Device, build, logs, replay, and user record carried over, with status flowing back so support can close the loop when the fix ships. This is Gleap's whole thesis and it is correct.
App version visible on every ticket. Check it before diagnosing anything. It resolves a large share of reports instantly and it is the field you need when a bad release requires you to identify and proactively contact affected users.
Store review monitoring with a path into real support. Reply publicly, move the conversation in-app. Ratings drive install conversion, and old unaddressed reviews about long-fixed bugs keep costing you installs indefinitely.
Pricing that fits consumer-scale users. A free app with two million monthly users cannot pay per contact at B2B rates. Crisp's flat workspace pricing and Helpshift's volume-oriented model exist for this; model your real contact rate per thousand users before committing to anything priced per resolution.

Frequently asked questions

Why can't we just use email support for our app?

You can, and you will get useless tickets. An email that says 'the app crashes' with no OS version, no device model, no app build, and no reproduction steps costs three round trips before anyone can act — and most users abandon before the third. An in-app SDK captures device, OS, app version, network state, recent logs, and a screenshot automatically at the moment of the problem. That single difference is worth more than any other feature in this category.

How should support and engineering split mobile issues?

Support owns the user conversation; engineering owns the fix. The handoff needs to be one click from the ticket into Jira or Linear with the full device context, session replay, and logs attached, and the resulting fix status needs to flow back so support can tell the user which release resolved it. Gleap is built specifically for this loop. Without it, support ends up pasting screenshots into Slack and losing track of who is waiting on what.

What about App Store and Play Store reviews?

Treat them as a support channel with a hard constraint: you get one public reply and no private thread. The practical pattern is to monitor reviews, reply publicly and briefly, and drive the user into in-app support where you can actually diagnose. A one-star review citing a bug you fixed three versions ago is worth responding to, because store ratings drive install conversion and old reviews keep working against you long after the bug is gone.

How do you handle users on old app versions?

Track app version on every ticket and check it first. A meaningful share of reported bugs are already fixed in a release the user has not installed, and answering 'please update to 4.2' takes seconds if the version is visible and minutes of diagnosis if it is not. Also plan for the reverse case: a release that breaks something needs you to identify every affected user by version and message them proactively before they find the store review page.

Does the support experience need to work offline?

It needs to degrade gracefully. A user on a subway or a bad connection should still be able to compose and queue a report that sends when connectivity returns, rather than losing what they typed. Mobile-first SDKs like Helpshift's handle this; a webview pointing at a chat widget generally does not, and that is a real difference in report completion rate.