Why not just add Gainsight on top of our mid-market Salesforce instance?
Because the all-in cost rarely clears a mid-market business case. Gainsight is sized for 50+ CSMs on price, implementation, and ongoing admin. A 5-to-30 CSM mid-market team runs the per-seat line, the platform fee, a full-quarter services engagement, and a dedicated CS Ops admin headcount. The CFO asks for the ROI math and the math does not close. Strkr ships the post-sale primitives on the standard plan with no premium module tier and no services engagement, and the shared account record removes the Salesforce-to-Gainsight sync lag the committee was going to inherit anyway. Teams that outgrow Strkr later and need Gainsight-depth orchestration can export the data model cleanly.
How does Strkr handle multi-year contracts and co-termed add-ons?
As a native pipeline shape. Every account carries a renewal opportunity with the master close date, and co-termed add-ons attach as child opportunities with inherited forecast categories. A three-year initial term with a mid-year expansion co-termed to the master date lands as one parent and one child on the record, with a single rollup to the renewal book and a single rollup to the net revenue retention forecast. Flows fire against the master date at T-180, T-120, T-90, T-60, T-30, and T-7, with earlier triggers available for the three-year commercial cycle. The CS leader forecasts the full book, including co-terms, in one view without the three-spreadsheet reconciliation.
Can Strkr ingest usage events from Mixpanel or Amplitude on our mid-market accounts?
Yes. Strkr custom objects accept usage events as first-class rows against the account record. The typical mid-market setup pipes a short event list (login, feature-first-use, workflow completed, feature abandoned, admin invite, upgrade signal) from Mixpanel or Amplitude into Strkr via webhook, with account identity resolved on the external account id. From there the CSM filters the account list on usage patterns, the composite health score reads the usage history as one of its weighted inputs, and the churn-risk flag fires when the trend crosses the tenant threshold. The ingestion is a configuration surface in Strkr admin, not an engineering project, and the mid-market RevOps generalist stands it up in an afternoon.
How does the AE-to-CSM hand-off work on an enterprise-adjacent deal?
The AE fills a structured hand-off form at closed-won with the fields the CSM actually needs: champion role and tenure, exec sponsor, deferred features from the deal cycle, success criteria, ROI case, procurement contact, security review notes. The form lands directly on the shared account record. A flow routes the account to a CSM by territory, segment, book capacity, or product line, creates the onboarding project from the right template, schedules the hand-off call with the AE, drafts the welcome email, and opens the day-one tasks on the CSM queue. The AE keeps timeline visibility on the record, so the expansion conversation six months later starts from a shared history.
How does Strkr forecast expansion ARR alongside renewal ARR for a mid-market CS team?
Expansion opportunities run on the same pipeline shape as renewals, with stage, forecast category, close date, probability, and next step. The CS leader rolls up expansion ARR into the quarterly commit alongside renewal ARR using the same forecast categories (commit, best-case, pipeline, omitted) and the same rollup math. The result is one net revenue retention view instead of two spreadsheets the ops team reconciles on Friday. CSMs see expansion opportunities on the same account view they already run, with Strkr AI surfacing signals (seat utilization, next-tier feature use, new-department onboarding, admin-invite spike) that recommend the next ask. The AE is looped in on the record for the commercial close so the sales-to-success handshake works in both directions.
What does Strkr AI do for a mid-market CSM specifically?
Strkr AI watches the full signal set on the account (login frequency, feature adoption, support ticket volume, net promoter responses, exec engagement, executive sponsor turnover) and surfaces a composite risk score 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 save-motion playbook, and the CS leader sees the newly flagged account on the weekly digest. Strkr AI also drafts the QBR narrative from the account data, summarizes long support threads into a one-paragraph context block, and recommends the next expansion ask when usage signals cross the tier threshold. Every flag, draft, and suggestion is reviewed and approved by the CSM before it reaches the customer.