The CRM for the marketing leader who has to prove the number.
A Head or VP Marketing at a Series A or B startup has to prove marketing-sourced pipeline to a founder, defend budget to a board, and run a team of two or three with no attribution model and a HubSpot plus Google Analytics stack that argues with itself every month. Strkr collapses that into one workspace where the pipeline number is defensible.
A Head or VP Marketing at a Series A or B startup walks into a role defined by a single question: how much pipeline did marketing source and what did it cost. The HubSpot plus Google Analytics plus Mixpanel plus Sheets stack cannot answer the question the same way twice. The board wants the number quarterly, the founder wants it weekly, and the sales team wants the credit split. The pains below are the pattern we see on every startup marketing leader buyer call across SaaS, B2B services, marketplace, and vertical software startups between $2M and $20M ARR.
Attribution model missing
There is no attribution model, so pipeline credit is a weekly argument.
HubSpot shows contacts, Google Analytics shows traffic, the CRM shows deals, Mixpanel shows product events, and nothing joins them end to end. First-touch, last-touch, and multi-touch attribution are hand calcs on a Google Sheet. The sales team argues the credit split every month. Strkr ships native multi-touch attribution with per-segment weighting rules, so first-touch, last-touch, linear, time-decay, and U-shape models render as saved views the marketing leader points the founder at.
Board budget defense
The next board meeting needs a budget defense and the data is in four tools.
The board asks for marketing-sourced pipeline, cost per opportunity, cost per closed revenue, payback period, and segment ROI. The marketing leader rebuilds the deck from HubSpot screenshots, Mixpanel exports, GA sessions, and a spend tab in a Sheet. The exercise burns a week per board cycle. Strkr ships board-ready views (sourced pipeline, cost per opportunity, segment ROI, payback period, cohort LTV) as saved views with CSV export, so the deck pulls from the app and updates on refresh.
Pipeline source conflict
Sales says the pipeline is sales-sourced; marketing says marketing-sourced.
The AE closed the deal and tags it sales-sourced; the marketing leader points to the first-touch form fill from an inbound campaign; the founder watches the fight and makes a call on feel. Strkr ships a sourced-by rule the whole team agrees to upfront (first-touch, last-touch, hybrid with inbound-marketing override) and renders the attribution math in the view. The fight ends because the number is defensible by model, not by rhetoric.
Team of two or three
The marketing team is three people and the stack takes six headcount to run.
The marketing leader has one demand gen hire, one content hire, and a part-time designer. The HubSpot plus Mixpanel plus GA plus Sheets plus Notion stack takes six headcount to run properly. The team spends a quarter of every week on tool admin and data wrangling instead of campaigns. Strkr collapses the stack into one admin surface a demand gen hire with no RevOps background can run alone.
Cohort math by hand
LTV, payback period, and cohort retention are quarterly spreadsheet projects.
LTV per segment, payback period per channel, cohort retention over 12 months, net revenue retention. These are the numbers the board wants and the stack cannot produce without a quarterly spreadsheet project. Strkr ships cohort math natively (LTV, payback, retention, NRR) as saved views filterable by segment, channel, and time, so the quarterly projects collapse to a Monday morning refresh.
Full-funnel visibility missing
Marketing sees the top of the funnel; sales owns the bottom; nobody owns the full view.
Marketing stops at the MQL. Sales owns the SQL and opportunity stages. The marketing leader cannot see cycle time per source, win rate per campaign, or deal size per channel without a weekly tour of the sales team. Strkr ships full-funnel visibility (lead to MQL to SQL to opportunity to closed revenue) as native rollups the marketing leader filters by source, campaign, segment, and time without a sales ride-along.
How Strkr fits a startup marketing leader week
The primitives the Head or VP Marketing actually uses.
Strkr for a startup marketing leader is the attribution and reporting workbench the HubSpot plus GA stack never shipped. Everything below is live on every paid tier with no premium reporting add-on. The primitives map to the four jobs the Head or VP Marketing repeats every week: run the attribution math, prep the board update, align with the VP of Sales on pipeline source, and manage a three-person marketing team against the quarterly plan.
Multi-touch attribution
First, last, linear, time-decay, U-shape in one view.
Every opportunity carries first-touch, last-touch, linear, time-decay, and U-shape attribution computed from UTM taxonomy, form history, and activity timeline. The marketing leader toggles the attribution model on a saved view to see how the pipeline sourcing number holds up across models. The model that matches the sales motion wins the credit math and the board report cites the chosen model with the rationale documented.
Board-ready views
Sourced pipeline, cost per opportunity, segment ROI, payback.
Strkr ships board-ready saved views: marketing-sourced pipeline, cost per opportunity, cost per closed revenue, payback period, segment ROI, cohort LTV, net revenue retention. Each view renders on a filter (segment, channel, campaign, time) and exports to CSV for the board deck. The quarterly deck prep collapses from a week to an afternoon.
Sourced-by rule
The attribution contract everyone agreed to upfront.
The marketing leader and the VP of Sales agree once on the sourced-by rule (first-touch, last-touch, or hybrid with inbound-marketing override). The rule renders as a tag on every opportunity and the pipeline view filters by sourced-by in one click. The weekly marketing-versus-sales credit argument ends because the rule is in the view and the overrides are logged.
Campaign ROI dashboard
Spend to pipeline to revenue math per campaign per segment.
Every campaign card renders spend (synced nightly from Google, LinkedIn, Meta), leads, MQL, SQL, opportunity count, pipeline value, closed revenue, win rate, cycle time, and ROI per segment. The marketing leader kills losing campaigns on the Monday review with the ROI math on screen, and defends winning campaigns to the board with cohort LTV attached.
Cohort retention view
MQL cohort by month, revenue conversion over 12 months.
Every MQL belongs to a monthly cohort. The cohort view shows pipeline creation at 30, 60, and 90 days per cohort, closed revenue at 6 and 12 months, and net revenue retention at 12 and 24 months. The marketing leader spots the cohort converting at half the rate of the prior quarter before the quarterly review and runs the diagnosis before the board asks.
Full-funnel view
Lead to MQL to SQL to opportunity to revenue, by source.
Strkr ships a full-funnel view that renders conversion rates between every stage (lead to MQL, MQL to SQL, SQL to opportunity, opportunity to closed revenue) filterable by source, campaign, segment, geography, and time. The marketing leader runs funnel diagnostics without a BI tool or a sales ride-along, and the VP of Sales reads the same view with no credit argument.
Strkr AI campaign summaries
A one-paragraph roll-up per campaign per reporting window.
Strkr AI drafts a one-paragraph summary per campaign at the end of every reporting window: spend, leads, MQL, SQL, opportunities, deal size, best segment, worst segment, suggested next step. The marketing leader edits the summary, pastes it into the weekly founder email or the monthly board update, and ships the report in 15 minutes instead of 90.
Team OKR tracker
Marketing OKRs scored weekly on live data.
Strkr Projects ships a marketing OKR tracker that scores the quarterly OKRs on live data every week: pipeline sourced, MQL volume, SQL conversion, cost per opportunity, campaign launches, content ship rate. The marketing leader walks into the weekly team meeting with the OKR scorecard on screen and the three-person team sees the live number against the quarterly target.
What Strkr automates for a startup marketing leader
The reporting work that should run on a schedule.
A Head or VP Marketing with a three-person team cannot afford to hand-run every attribution report, board update, and campaign ROI calculation. Strkr Flows handle the dozen automations every startup marketing leader should run, and each one ships as a native trigger with no webhook plumbing. The pattern below is what shows up in week two of every startup marketing leader deployment, usually replacing a stack that burned 20 hours a week of marketing time on reporting.
Weekly founder digest
Monday 7 AM email with the five numbers that matter.
A weekly Flow renders the founder digest: pipeline sourced week to date, MQL to SQL rate, cost per opportunity, campaign spend to date, website signups. The founder gets the email before standup. The marketing leader stops rebuilding the slide. The digest pulls from the same saved views the board deck uses, so the weekly number ties out to the quarterly number.
Board update draft
Monthly board draft rendered from live data.
A monthly Flow drafts the board update section for marketing: sourced pipeline, cost per opportunity, segment ROI, payback period, cohort LTV, team wins, team gaps. The marketing leader reviews, edits for narrative, and ships to the deck. The quarterly scramble to assemble board numbers never again starts the Thursday before the Monday meeting.
Campaign spend sync
Ad spend posts to the campaign object nightly.
Strkr pulls campaign spend from Google Ads, LinkedIn Ads, and Meta Ads into the matching campaign object nightly. Cost per lead, cost per MQL, cost per opportunity, and ROI render on the campaign card without the marketing leader pasting from four tabs. The board number ties out to the campaign card ties out to the ad platform spend.
Attribution model refresh
Attribution math recalculates on every closed deal.
A Flow fires on every opportunity stage change and recomputes attribution per model (first, last, linear, time-decay, U-shape). The pipeline sourcing views stay current without a nightly batch job, and the credit split on a Friday close shows up in the Monday founder dashboard.
Cohort retention report
Monthly cohort rebuild runs on the first of the month.
A monthly Flow rebuilds the cohort retention view: MQL to pipeline at 30, 60, 90 days per cohort; closed revenue at 6 and 12 months; NRR at 12 and 24 months. The marketing leader reviews on the first of the month, catches cohort drift before the quarter closes, and ships the fix with time left to course correct.
Underperforming campaign alert
Campaigns below ROI threshold flag weekly.
A weekly Flow identifies campaigns with cost per opportunity above threshold, win rate below threshold, or cycle time above threshold and surfaces the batch on the marketing leader dashboard. The marketing leader kills or restructures underperformers on the Monday review instead of defending them in the quarterly retrospective.
Marketing-sales sync digest
Monday email aligning marketing and sales on pipeline source.
A Monday Flow emails the marketing leader and the VP of Sales a shared digest: pipeline sourced by model this week, top five sources, deal flow by campaign, opportunity count by segment. The weekly marketing-sales standup opens with the digest on screen so both sides read the same number and the credit argument never starts.
What a startup marketing leader controls that a HubSpot admin never did
The reporting layer a board-answering CMO needs.
A startup marketing leader has to answer to a board, a founder, a sales leader, and a three-person marketing team on the same data. The CMO primitives (attribution math, cohort analytics, segment ROI, board-ready export) have to be defensible across every audience. Strkr ships the surfaces below as native primitives, not a BI tool bolted onto a CRM, so the quarterly board defense runs on the same number the Monday founder digest cites and the weekly team meeting opens on.
Attribution model picker
Choose the model that matches the motion.
The marketing leader picks the default attribution model on the admin page (first-touch, last-touch, linear, time-decay, U-shape, or hybrid) and the pipeline sourcing views render on the chosen model. Alternative models render as toggle views for sensitivity analysis. The board deck cites the chosen model with the rationale (short cycle versus long cycle, inbound versus outbound mix) documented in the admin page.
Segment ROI matrix
Spend, pipeline, revenue, LTV per segment per channel.
The segment ROI matrix renders every segment (SMB, mid-market, enterprise, named account) against every channel (paid search, paid social, organic, email, events, outbound) with spend, pipeline, revenue, LTV, and payback period in each cell. The marketing leader finds the segment-channel combos that return and the ones that burn in one view, and the board report has the segment story grounded in a matrix instead of a narrative.
Payback period calculator
CAC payback per segment, per channel, per cohort.
Strkr ships a CAC payback calculator per segment per channel per cohort: fully loaded acquisition cost, average contract value, gross margin, months to payback, breakeven cohort. The marketing leader defends the budget by segment to the board with the payback math on screen, and the finance team cites the same number without a parallel model.
Share with board
A board-shareable view without a billable seat.
Strkr ships board-advisor read-only roles on every paid tier with no incremental billing. The marketing leader shares the board-ready saved views as read-only links the board members bookmark. The quarterly board deck becomes the live view, and the quarterly follow-up questions get answered by pointing at the view instead of rebuilding slides.
Strkr AI pipeline analysis
A monthly diagnostic on sourced pipeline health.
Strkr AI runs a monthly pipeline diagnostic: which channels gained share, which lost, which segments converted faster or slower, which campaigns outperformed the plan, which cohorts drifted. The marketing leader reviews the diagnostic in 10 minutes and surfaces the three insights worth board attention. The diagnostic is grounded in the pipeline data, not a trend-topic deck.
Marketing-sales SLA
SLA tracking on MQL acceptance and SQL conversion.
The marketing leader and the VP of Sales define SLAs on MQL acceptance (minutes to first touch, hours to meeting booked) and SQL conversion (days to close, conversion rate). Strkr tracks the SLAs natively and surfaces breaches on the weekly digest. The marketing-sales relationship anchors on measurable commitments instead of a quarterly argument about who is dropping the ball.
Full CSV and API
Every view exportable, every event streamable.
Every attribution view, cohort view, and campaign ROI view exports to CSV from the header. Every object exposes a native REST API with per-role scoping. The marketing leader integrates Strkr with the finance system, the data warehouse, or the custom board-reporting pipeline without a premium API tier. The board number never gets stuck inside a CRM vendor is paywall.
Head-to-head
Strkr vs HubSpot plus GA plus Mixpanel plus Sheets.
Most startup marketing leader stacks run HubSpot Marketing Pro for forms and nurture, Google Analytics for traffic, Mixpanel for product events, a Google Sheet for spend tracking, and a BI tool for cohort math. The stack is five surfaces, five bills, five logins, and five places where the pipeline sourcing number drifts between tools. Strkr collapses that into one workspace with one bill and one admin page, with the marketing leader surface shipped by default on every paid plan.
What matters
Strkr
HubSpot + GA + Mixpanel + Sheets
Multi-touch attribution models
First, last, linear, time-decay, U-shape native
Hand calc in a Google Sheet
Pipeline sourcing views
Saved views, filterable by model and segment
Rebuilt in a slide deck every quarter
Cohort retention
Native LTV, NRR, payback by cohort
BI tool or spreadsheet rebuild
Campaign ROI
Spend syncs nightly, ROI per segment
Google Sheet pasted every Friday
Board-ready export
CSV from every view, board read-only roles
Screenshot deck and copy paste
Marketing-sales sourced-by rule
One rule, enforced in the view
Weekly credit argument
Segment ROI matrix
Native segment by channel grid
Quarterly spreadsheet project
Payback period math
Native per segment per channel per cohort
Finance team parallel model
Full-funnel view
Lead to revenue in one surface
HubSpot top of funnel plus CRM bottom
Strkr AI pipeline analysis
Monthly diagnostic, native
ChatGPT plus copy paste
Marketing OKR tracker
Live scoring on quarterly OKRs
Notion page updated manually
Monthly cost at Series B scale
One per-seat line, see pricing page
Five per-seat lines plus BI tool
See the CRM built for the Head of Marketing proving the pipeline number.
Start a trial with the full marketing leader surface enabled: multi-touch attribution, board-ready saved views, campaign ROI dashboard, cohort retention view, segment ROI matrix, payback period math, full-funnel analytics, Strkr AI monthly diagnostic. One bill, one workspace, one defensible pipeline number for the board, the founder, and the VP of Sales. Migrate from the HubSpot plus GA plus Mixpanel plus BI stack in an afternoon and keep every campaign, contact, and attribution record intact on the way in. The pricing page lays out the per-seat line in full so the renewal math is clear before the trial starts.
Can Strkr replace the HubSpot plus GA plus Mixpanel plus BI stack a startup marketing leader runs?
For most Head and VP Marketing hires at Series A and Series B startups with a three-person marketing team, yes. Strkr ships multi-touch attribution (first, last, linear, time-decay, U-shape), board-ready saved views (sourced pipeline, cost per opportunity, segment ROI, payback period, cohort LTV, NRR), the full campaign ROI math, and the full-funnel view on one flat per-seat line. The HubSpot Marketing Pro upgrade comes off at the next renewal, the BI workbook retires on week four, and the quarterly spreadsheet projects collapse to a Monday morning refresh. For edge cases that need a specialized product analytics or BI tool, Strkr integrates and keeps the attribution math as the single source of truth.
How does Strkr handle the marketing-versus-sales sourced-by argument at a startup?
The marketing leader and the VP of Sales agree once on the sourced-by rule (first-touch, last-touch, or hybrid with inbound-marketing override). The rule renders as a tag on every opportunity, the pipeline view filters by sourced-by in one click, and overrides are logged with a reason. The weekly digest emails both leaders the same number so the Monday standup opens on shared data. The quarterly board report cites the chosen model with the rationale (short cycle versus long cycle, inbound versus outbound mix) documented in the admin page. The credit argument ends because the rule is in the view.
What attribution models does Strkr support, and how are they chosen?
Strkr ships five attribution models natively: first-touch, last-touch, linear, time-decay, and U-shape. The marketing leader picks the default on the admin page and the pipeline sourcing views render on the chosen model. Alternative models render as toggle views for sensitivity analysis, so the board deck cites the chosen model with a shadow comparison on request. The choice is motion-dependent: short-cycle inbound motions tend to favor last-touch, long-cycle enterprise motions tend to favor U-shape, PLG motions tend to favor time-decay. Strkr AI suggests the model that fits the data pattern during setup.
How does the board-ready reporting layer work for a quarterly board update?
Strkr ships board-ready saved views: sourced pipeline, cost per opportunity, cost per closed revenue, payback period, segment ROI matrix, cohort LTV, net revenue retention, and marketing OKR scorecard. Each view exports to CSV from the header for the board deck, or renders as a shareable read-only link the board members bookmark. Board-advisor read-only roles are free on every paid tier so there is no billable seat per board member. The quarterly deck prep collapses from a week to an afternoon, and the follow-up questions get answered by pointing at the live view instead of rebuilding slides.
Can Strkr run cohort retention and payback period math natively?
Yes. Every MQL belongs to a monthly cohort. The cohort view renders pipeline creation at 30, 60, 90 days per cohort, closed revenue at 6 and 12 months, and NRR at 12 and 24 months, filterable by segment, channel, and campaign. The payback period calculator renders CAC payback per segment per channel per cohort with fully loaded acquisition cost, average contract value, gross margin, and months to payback. The marketing leader runs the quarterly cohort retrospective and the budget defense off the same views without a parallel BI model.
What does Strkr AI do for a startup marketing leader specifically?
Strkr AI runs three jobs for the marketing leader tier. First, monthly pipeline diagnostic: which channels gained share, which lost, which segments converted faster or slower, which campaigns outperformed the plan, which cohorts drifted. Second, campaign summaries: a one-paragraph roll-up per campaign per reporting window with spend, leads, MQL, SQL, opportunities, best segment, worst segment, suggested next step. Third, attribution model recommendation: analysis of the pipeline data pattern during setup to suggest the model that fits the motion. All three ship on every paid tier without a premium AI add-on.
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.
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