Why not just use the sales CRM we already have for customer success?
Because the sales CRM was shaped for a pipeline motion that ends at closed-won. The post-sale rhythm is a different shape: health signals updating weekly, usage events landing from the product, a renewal clock on a 12-month cycle, QBR touchpoints every quarter, onboarding projects with templated phases, lifecycle marketing tied to adoption state. You can build a bolt-on inside a sales CRM with custom fields and manual processes, and many teams do, but the result is a tab the CSM lives in and the AE never visits, with half the real data in a spreadsheet the ops lead maintains and the other half in a product analytics tool nobody in customer success has write access to. Strkr treats the post-sale motion as a first-class surface with its own objects and its own pipeline, on the same record the AE closed on, so the sales-to-success seam disappears without a second tool and without a bolt-on configuration that nobody in the team owns.
How does Strkr compare to Gainsight for a 20-CSM team?
Gainsight is the enterprise-grade specialist in the category and goes deep on configurable risk models, journey orchestration, and in-app guides. For a 20-CSM team under 50 total CSMs, the Gainsight implementation footprint (a full quarter, a services engagement, a dedicated CS Ops admin headcount) rarely clears the business case, and the per-seat line is sized for the enterprise band rather than the growth-stage band. Strkr ships the post-sale primitives (shared account record, custom objects for health and usage, renewal pipeline, QBR flows, onboarding projects, lifecycle marketing) on the standard plan with no premium module tier, and the implementation lands in days rather than a quarter. For teams that outgrow Strkr later and genuinely need Gainsight-depth journey orchestration or in-app guides, the data model exports cleanly so a later migration is viable without lock-in and without a rebuild of the record history.
Can Strkr ingest usage events from our product analytics tool?
Yes. Strkr custom objects accept usage events as first-class rows against the account record. The typical setup pipes a short event list (login, feature-first-use, workflow completed, feature abandoned, upgrade signal, invite sent) from the product analytics tool into Strkr via webhook, and from there the CSM filters the account list on usage patterns without a one-off export from the product team. The composite health score reads the usage-event history as one of its inputs, so a drop in feature usage shows up on the risk flag within the same day, not at the end of the quarter when the product team runs the usage report. The ingestion is a configuration surface in Strkr admin, not an engineering project, and the mapping between product-tool event names and Strkr custom-object fields is editable per tenant so the taxonomy fits whatever the product team already uses.
How does Strkr forecast the renewal book?
Every account carries a renewal opportunity on its own pipeline, with stage (open, early, mid, late, committed, closed), forecast category (commit, best-case, pipeline, omitted), close date, and probability. The CS leader rolls up the renewal book the same way the sales leader rolls up the new-business book, inside the same tool, with the same forecast categories and the same rollup math. The weekly commit call becomes a 20-minute review of the handful of accounts at risk, not an hour of spreadsheet reconciliation against the CRM. The forecast rollup is reportable by CSM, by segment, by product line, by region, and the historical commit-to-close variance surfaces so the leader can calibrate the next quarter forecast against actual team accuracy rather than a round-number gut call.
How does the hand-off from the AE to the CSM work?
When an opportunity hits closed-won, a flow routes the account to a CSM based on territory, segment, book capacity, or product line. The flow creates an onboarding project from the right template, schedules the internal hand-off call with the AE, drafts the welcome email to the customer, and opens the day-one tasks on the CSM queue. The AE fills a structured hand-off form at closed-won (champion role, exec sponsor, deferred features, procurement quirks, success criteria, specific ROI case) which lands directly on the account record, so the CSM reads the context the AE spent six months building rather than reconstructing it from Slack scrollback and a one-page handoff doc. The AE keeps visibility on the account timeline, so expansion conversations later start from a shared history rather than a cold reread of the original close context.
What does Strkr AI do for customer success specifically?
Strkr AI watches the full signal set on the account (login frequency, feature adoption, support ticket volume, net promoter responses, exec engagement, usage trend) and surfaces a composite risk score that the CSM reads at a glance. When the risk crosses the tenant threshold, the account turns red on the CSM dashboard, a task opens for the CSM to run the save motion, and the CS leader sees the newly flagged account on the weekly digest. Strkr AI also drafts the QBR narrative from the account data, suggests the three talking points for the exec review, and summarizes a long support thread into a one-paragraph context block the CSM reads before the next customer call. The AI never acts without a human in the loop; every flag, draft, and suggestion is reviewed and approved by the CSM before it reaches the customer, and the admin surface lets the CS leader tune the risk threshold per segment so an SMB and an enterprise account trigger on different inputs.
Does Strkr handle onboarding and implementation projects?
Yes. The Strkr Projects module runs onboarding and implementation as native projects on the account record, with templated phases (kickoff, configuration, data migration, user training, go-live, 30-day review), owner-assigned tasks, milestone gates, and a client-visible status surface so the customer sees the plan and the CSM does not maintain a sidecar status email. The implementation lead gets a rollup across every live project without a status Slack thread, red projects surface on the leader dashboard the day they go dark, and the project template library grows as the team refines the motion. Templated projects attach automatically from the closed-won flow, so no CSM ever starts a kickoff from a blank page, and the implementation team can run 20 live onboardings without losing track of which one is stuck on which phase.