Product companies run on usage signals, adoption milestones, and expansion motion. Strkr ships a CRM shaped around product telemetry intake, PQL scoring, product qualified lead handoff, and AI drafting that references what the user actually did in product.
Product companies ship a motion that most CRMs do not model. The user signs up, uses the product, hits an adoption milestone, becomes a PQL (product qualified lead), gets handed to sales, converts to paid, expands over time, and either renews or churns. The signal lives in the product telemetry. The CRM has to receive the signal and route the motion. The six pain points below are what Strkr onboarding hears on every intake call with a product led company.
A PLG account manager has 180 free tier accounts in the queue. Who has adopted the core feature. Who has invited teammates. Who has hit the usage threshold that signals readiness to buy. The AE calls without knowing. Strkr pulls product telemetry through webhook from the product analytics layer (Segment, Mixpanel, Amplitude, PostHog, custom pipeline) and surfaces adoption signals on the account card.
The marketing team defines PQL as (feature X used 3 times OR teammate invited OR integration configured). The sales team defines PQL as (ready to buy signal). The engineering team defines PQL as (whatever the data warehouse exports). Strkr PQL scoring runs as a configurable workflow with the firm specific definition and the scoring runs on telemetry intake. Everyone works off the same score.
The free user hits the PQL threshold. The handoff from product to sales is manual. The AE picks up the lead three days later. By then the activation window has passed. Strkr PQL automation triggers the handoff on threshold crossing with Strkr AI drafted outreach reading from the product usage context. The AE touches the lead within hours while the window is open.
A customer on 10 seats hits 240 active users (meaning there are 230 shadow users on the account). The expansion opportunity is clear from the telemetry. The AE does not know because the telemetry does not land in the CRM. Strkr expansion signals surface on the account card (seat utilization, feature expansion, usage growth, upsell triggers) with the Strkr AI drafted expansion pitch ready to send.
A customer stops using the product. 42 days later renewal comes up. The CSM scrambles. The churn is already locked in. Strkr churn risk signals surface on the account card early (usage drop, feature engagement decline, support ticket spike, exec sponsor change) with the Strkr AI drafted intervention playbook. The CSM runs the retention play while there is still time.
Product feedback shows up in Slack channels, support tickets, sales call recordings, and customer success QBRs. The product team cannot see the full picture. Strkr product feedback workflow aggregates feedback from support (through API), sales (through call recording transcript analysis), and CSM (through direct entry) into a tagged feedback object with the product team review view.
Strkr ships a tunable product company schema with Account, User, Workspace, Product Usage, Adoption Milestone, and Expansion Opportunity as first class objects.
An account in Strkr carries the workspace or tenant identifier, current plan, MRR, user count, seat utilization, product usage posture (power user, standard, declining, at risk), and the PQL and expansion signals. The account roll up aggregates across the workspace users.
A user ties to the account and carries role (admin, member, viewer), activation state (invited, signed in once, activated, engaged, power), feature adoption map, and individual usage telemetry. Users drive the PQL scoring and the champion identification.
A workspace groups accounts that share a product tenant structure (for products where the user creates multiple workspaces within one organization). The workspace relationship ties to the parent account for billing and relationship purposes while preserving the per workspace usage visibility.
Product usage ties to the user and the account with event name, feature identifier, timestamp, and user context. The usage events feed from the product telemetry layer through webhook. The event roll up drives the usage posture, the adoption milestone, and the PQL score.
An adoption milestone ties to the user or the account and defines the milestone type (activation event, core feature first use, team invite sent, integration configured, custom milestone), the completion status, and the completion timestamp. Milestones drive the activation workflow and the PQL scoring.
An expansion opportunity ties to the account and defines the trigger (seat threshold crossed, feature expansion flag, usage growth signal, upsell event), the opportunity size estimate, the status, and the next step. The expansion queue surfaces on the account manager morning view.
The six cards below walk through the PLG account manager morning view in Strkr. Each is a working surface that lands in the default configuration.
The first card surfaces free tier accounts that crossed the PQL threshold in the past week. Each card shows the account, the primary user, the PQL score, the trigger signal (feature X used, team invite sent, usage threshold crossed), and the Strkr AI drafted outreach ready to send.
Paid accounts with expansion signals surface in the expansion queue. Each card shows the account, the expansion trigger (seat threshold, feature flag, usage growth), the opportunity size estimate, and the Strkr AI drafted expansion pitch tailored to the trigger.
Paid accounts with churn risk signals surface in the churn alert view. Each card shows the account, the risk signals (usage drop, feature decline, support spike, sponsor change), the retention intervention playbook, and the Strkr AI drafted retention outreach.
New sign ups that have not activated in 11 or more days surface in the activation gap view. Each card shows the user, the account, the activation state (invited only, signed in once, no core feature use), and the Strkr AI drafted activation nudge email referencing the product onboarding steps.
Users exhibiting champion behavior (power usage, inviting teammates, referring other accounts) surface as potential champions. Each card shows the user, the account, the champion signals, and the Strkr AI drafted outreach to engage the champion as an advocate or expansion lead.
The sixth card is the weekly motion recap. PQLs touched, expansion opportunities worked, churn risks intervened on, activation gaps closed, champions engaged. The account manager reviews, learns the pattern, and tunes the motion for the next week.
Strkr AI reads the product telemetry context when drafting outreach, which means the AE never sends generic reach outs that ignore what the user actually did in the product.
Strkr AI drafts the PQL outreach referencing the trigger (we noticed your team used feature X three times this week and invited two teammates, which signals the setup is clicking). The reference to actual product behavior lifts response rate from the generic rate of 11 percent to about 42 percent in observed deployments.
Strkr AI drafts the expansion pitch referencing the trigger (your 10 seat plan has 240 active users this quarter, which looks like 230 shadow users on your workspace). The pitch leads with the usage reality and invites the conversation on either expansion or usage based pricing.
Strkr AI drafts the activation nudge referencing the gap (you signed up 14 days ago and have not yet created a project, which is step three in the onboarding). The reference to the missing step beats the generic come back and try again response.
Strkr AI drafts the retention outreach referencing the usage drop (your team usage dropped 42 percent in the past 30 days and the primary admin has not signed in). The outreach proposes a check in with the agenda shaped by the risk signals.
Strkr AI drafts the champion engagement referencing the behavior (you are using feature X more than 92 percent of our customers, which puts you in power user territory). The outreach invites the champion into an advocate program, a case study, or an expansion conversation.
Strkr AI drafts the QBR prep summary referencing the past quarter telemetry (usage growth, feature adoption, seat utilization, support ticket trends) with the recommended agenda topics (expansion signals, feature feedback, roadmap preview, success metric review). The CSM runs the QBR with the data pulled.
Most product companies run Salesforce or HubSpot for the CRM and a product analytics tool (Mixpanel, Amplitude, PostHog) for the telemetry. The connection between the two is usually a Zap or a custom ETL. Strkr ships the connection native.
| Feature | Strkr | Salesforce or HubSpot for product company |
|---|---|---|
| Product telemetry intake | Native webhook from Segment, Mixpanel, Amplitude, PostHog. | Zap or custom ETL typical. |
| PQL scoring workflow | Configurable with telemetry trigger. | Custom build required. |
| Expansion signal surfacing | Seat threshold, feature flag, usage growth triggers. | Custom report typical. |
| Churn risk signal | Usage drop, feature decline, support spike, sponsor change. | Custom build typical. |
| AI drafting from telemetry | Pulls product usage context into outreach. | Generic AI drafting without usage context. |
| Activation gap workflow | Automated nudge referencing specific missing step. | Email marketing campaign typical. |
| Champion identification | Automated signal from telemetry. | Manual nomination typical. |
| Open API for product writeback | OpenAPI, GraphQL, HMAC signed. | Varies. |
| Flat per seat pricing | $29 to $119 per seat. | Enterprise tier typical for product adjacent features. |
| Implementation timeline | Eighteen to twenty four business days. | Three to six months typical. |
The playbooks below are patterns Strkr onboarding sees across product company deployments.
A $4M ARR dev tools startup had 32,000 free tier users feeding Mixpanel with 11 million events per month. The sales team of 4 AEs ran outreach based on a weekly spreadsheet export from Mixpanel. Strkr onboarding ran a 20 business day migration configuring the Mixpanel webhook, PQL scoring, and PLG to sales handoff. PQL to paid conversion lifted 38 percent in the first full quarter.
A $14M ARR vertical SaaS serving professional services firms had 420 paid customers with heavy expansion opportunity. The CSM team of 6 ran expansion based on quarterly manual review. Strkr onboarding configured the expansion queue with seat threshold, feature expansion, and usage growth triggers from the Segment event stream. Expansion revenue lifted 24 percent year over year.
A $42M ARR horizontal SaaS ran Salesforce Sales Cloud with a $220,000 per year custom PLG workflow build. The build was fragile and the Salesforce admin fought it monthly. Strkr onboarding ran a 32 business day migration consolidating the PLG workflow into Strkr with the custom build retired. Total cost of ownership dropped $180,000 per year.
A $8M ARR consumer SaaS had an 18 percent gross monthly churn rate with the CSM team unable to see the churn signals until renewal. Strkr onboarding configured the churn risk signal workflow with usage drop, feature decline, and support ticket spike triggers from Amplitude. Churn dropped to 11 percent in six months as the CSM team ran the retention plays earlier.
A $22M ARR mid market SaaS wanted to build a champion program for case studies, advocacy, and expansion referrals. Identifying champions manually took hours per week. Strkr onboarding configured the champion signal workflow with power usage, team invite behavior, and referral signals from PostHog. The champion program went from 42 identified champions to 180 in one quarter.
Book a 30 minute call. We will walk through the product telemetry intake, the PQL scoring, the PLG to sales handoff, and the expansion motion with your product analytics stack.
Yes. Strkr integrates with every major product analytics tool through its REST and GraphQL API with HMAC signed inbound webhooks and a published OpenAPI spec. Segment events can route to Strkr through the Segment destination with a few lines of config. Mixpanel events route through webhook or direct API pull. Amplitude, PostHog, and Heap all tie in through the standard webhook spec. For custom product telemetry pipelines (data warehouse to CRM through dbt and Reverse ETL via Hightouch or Census) the inbound API pattern lands in a short engineering sprint.
PQL scoring runs as a configurable workflow with the firm specific definition. The admin defines the scoring rules (feature X used 3 times = 20 points, teammate invited = 15 points, integration configured = 10 points, usage threshold crossed = 25 points) and the threshold for PQL (70 points typical). The scoring runs on every telemetry event through the workflow engine. Accounts crossing the threshold flag as PQLs with the trigger signals surfaced on the account card and the handoff workflow triggered.
The handoff triggers on PQL threshold crossing with a configurable delay (immediate, 1 hour, 4 hours, 24 hours typical). The Strkr AI drafted outreach generates on trigger with the product usage context referenced. The AE receives the lead with the full context (which trigger fired, which signals support the handoff, which Strkr AI drafted outreach is ready to send). The AE touches the lead within hours while the activation window is open. Response rate on PQL outreach that references actual product behavior runs about 42 percent, which beats the generic PQL outreach rate of 11 percent in observed deployments.
The expansion queue surfaces paid accounts with expansion signals triggered. Seat threshold (seat utilization over configured percentage), feature expansion (user adopts feature that is paywalled on higher plan), usage growth (event volume grows past configured threshold), and upsell event (specific product event that signals readiness for expansion). Each expansion opportunity shows the account, the trigger signals, the opportunity size estimate (based on seat count delta or plan tier delta), and the Strkr AI drafted expansion pitch tailored to the trigger. The account manager runs the expansion motion from this queue.
Strkr prices Starter at $29, Pro at $59, Scale at $119 per user per month with the AI Enhancement add on at $49 per month covering 5,000 AI calls flat. Salesforce Sales Cloud for a product company with PLG motion typically lands on Enterprise at $165 per seat plus a custom PLG workflow build (either in house engineering or a partner retainer typically $150,000 to $250,000 per year). HubSpot Enterprise lands at $150 per seat with the PLG workflow possible but limited without additional tools. For a 20 person revenue team on Strkr Pro with AI Enhancement the monthly spend runs about $1,229 which lands 60 to 85 percent below the loaded Salesforce PLG stack.
Strkr is GDPR and CCPA compliant today, HIPAA with BAA available on request, and SOC 2 Type II in progress with target 2026-Q4. For product companies serving regulated customer bases (healthcare, financial services, legal) the compliance posture passes typical enterprise procurement review. The audit log captures every record read and write with 90 day default retention tunable to the regulatory ceiling. SSO (SAML and OIDC) is live on Scale tier through Clerk. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager. For product companies in the EU the data residency can provision EU tenancy on Scale tier.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
