PilotPM vs Gainsight

The Gainsight alternative for CS teams of one to twenty-five

Gainsight is the proven enterprise CS platform. PilotPM is for the stage before that: a small CS team that wants churn detection, save-offers, support and product signals in one tool — set up in an afternoon, priced like a SaaS subscription.

3 seats, 500 credits/month, no credit card.

Their AI answers tickets. Ours improves the company that answers tickets.

Side by side

PilotPM vs Gainsight, on the things that change your week.

Competitor pricing changes — we don't restate their numbers here. For current Gainsight rates, check their pricing page. PilotPM's prices below are the same source of truth as our pricing table.

Gainsight
PilotPM
AI-native from row one
Target team
Enterprise CS orgs with multiple dedicated CSMs.
1–25 person customer-facing teams using AI to scale.
Churn detection
Health scores and playbooks built on CRM + product data; deep but implementation-heavy.
A classifier reads every thread for cancellation intent, scores churn risk, and surfaces ARR at risk — with save-offers reps send from the inbox.
Setup
Multi-week implementations are typical.
Connect your inbox and integrations in ~30 minutes.
Coverage
CS-focused; product analytics is a separate product line.
CS + support + product signals in one platform — the cancellation thread and the bug cluster behind it live together. When a bug needs engineering, it leaves pre-triaged: verbatim quotes, severity × frequency impact, a suggested fix and a fixability call attached to the Jira ticket.
Pricing model
Sales-led annual contracts; pricing on request — see gainsight.com/pricing.
Public flat tiers — $149/mo Starter, $2,499/mo Growth, free tier included.
The two numbers that matter

Every AI support vendor quotes one number. Make them show you two.

Whichever tool you pick — PilotPM, Gainsight, or anyone else — two numbers tell you whether the AI is actually working. Ask every vendor for both.

Number one

Autonomous resolution — the % handled with no human

Vendors quote 65–90%. Those numbers come from curated case studies, and the definitions are soft — "resolved" often just means the customer didn't reply. Before you trust any number, ask: what's the numerator, what's the denominator, and is it audited?

Number two

Draft acceptance — the % of AI drafts an agent sends as-is

The harder, more honest number: when a human does review the AI's work, how often is it good enough to send without a single edit? Most vendors don't publish this one at all.

Vendor
Published "autonomous resolution"
Where the number comes from
Intercom Fin
65–67%
Vendor-reported — methodology not independently audited
Sierra
50–90%
Case studies — methodology not independently audited
Decagon
70–80%
Case studies — methodology not independently audited
Ada
32–84%
Case studies — methodology not independently audited
Zendesk AI
39–60%
Customer stories — methodology not independently audited
Freshdesk Freddy
30–65%
Case studies — methodology not independently audited

Ranges above are each vendor's own published figures as of July 2026 — from their sites, case studies, or customer stories. Methodologies differ, definitions differ, and none are independently audited. We don't put a PilotPM percentage on this page because your number depends on your tickets: in a pilot we measure both numbers on your data and show you exactly how they're counted.

Four questions to ask any vendor — including us:
  • What's the numerator and the denominator? Which conversations count as "resolved", and which get quietly excluded?
  • Does "resolved" include actions actually taken — refunds issued, accounts fixed — or just replies the customer never answered?
  • Is the number audited? Can we recount it ourselves from raw conversations?
  • What happens when the AI gets one wrong — and what changes in the system so the same mistake doesn't repeat?
What "improves the company" means

A chatbot answers. A dashboard reports. PilotPM gets better every week — and shows its work.

Every week the numbers move, and the system tells you exactly what's blocking the next improvement: a missing article, a bad rule, a data gap, or a product bug.

01

Every edit is a signal

When your team edits an AI draft before sending, PilotPM keeps the diff — that's the ground truth vendors throw away.

02

Diagnosed to a root cause

Was the knowledge missing? A rule wrong? Customer data out of reach? A real product bug?

03

Fixed at the source

Knowledge, rules, data, or product code — the fix lands where the cause lives, not in a prompt tweak.

04

Proven before it ships

An eval re-runs the conversations that failed. The number moves, or the fix doesn't ship.

Why teams switch

Not a cheaper inbox. A loop that closes.

Retention

Catch the cancellation in the inbox, not the QBR.

Churn intent is detected in the conversation where it happens, scored, and answered with a save-offer the rep can send immediately — then PilotPM tracks whether the customer actually stayed.

Right-sized

CS tooling that doesn't need an admin.

No implementation project, no dedicated ops hire. The signals come from systems you already run — inbox, Slack, HubSpot, App Store & Google Play — and the AI does the synthesis a CS-ops analyst would.

Pricing

A subscription, not a procurement cycle.

$149/mo or $2,499/mo, publicly listed, monthly billing, free tier to evaluate. Budget approval is one Slack message, not a legal review.

See it on your own data

Point it at your app. Watch what it finds.

The free preview shows you what PilotPM finds in your app's public reviews — no account, no credit card, nothing to connect. If you like what it finds, the free tier takes it from there.

Free trial: 3 seats · 500 credits/mo · no credit card.

Questions teams ask before switching

Switching from Gainsight, honestly answered.

Is PilotPM a full Gainsight replacement?

For enterprise orgs with 10+ dedicated CSMs running mature health-score and playbook programs — no, Gainsight earns its place there. For teams earlier than that, PilotPM covers churn detection, save-offers, account context and support in one tool.

Where do health signals come from?

Conversation sentiment and volume, cancellation-intent classification, CSAT, App Store & Google Play review clusters, and ARR context from HubSpot — synthesized per account into a briefing your team reads before every call.

What does it cost?

Flat public tiers: Starter $149/mo, Growth $2,499/mo, free tier to evaluate (3 seats, 500 credits/mo). Gainsight pricing is sales-led — see gainsight.com/pricing.

Something we didn't cover? Email us — a human answers, and we'll tell you honestly if Gainsight is the better fit for your team. Full plan details on the pricing table — Starter at $149/mo, Growth at $2,499/mo.

Go deeper

Related reading from the PilotPM blog.