The revenue-operations platform where attribution, pipeline, forecast, and funnel conversion live on the same record.
Most revops teams stitch attribution reporting out of a dedicated attribution tool, a BI layer, and a CRM that was never built for the question. Strkr ships multi-touch attribution, campaign influence, sourced-vs-influenced pipeline splits, funnel conversion, and lead-lifecycle reporting as native surfaces on the CRM record under flat per-seat subscription pricing.
A revenue-operations team at 40 to 500 employees running a mature demand-gen motion tends to carry an attribution tool, a BI tool, a CRM, and a marketing-automation tool, each priced per record, each with a partial view of the funnel. The attribution weights live in one tool, the pipeline lives in another, the forecast lives in a third, and the reconciliation runs on a quarterly spreadsheet maintained by a senior analyst. Teams running a demand-gen motion with both inbound and outbound, ABM, and partner channels feel this most because the sourced-versus-influenced debate escalates every quarterly review and the data never fully agrees.
Attribution lives outside the CRM
The attribution tool and the forecast disagree every quarter.
A dedicated attribution tool computes campaign influence against pipeline that the CRM is also computing from the opportunity record. The two numbers drift because the attribution tool is scoring touches and the CRM is scoring stage. By QBR time the finance team has one number, the marketing team has a different number, and the revops lead reconciles them with footnotes.
The sourced-versus-influenced debate consumes revops cycles every quarter. Marketing wants campaign-influenced revenue counted toward the number, sales wants sourced-only credit against quota attainment. Most revops teams run two reports and present both. Strkr models both at the pipeline level so the dashboard shows the sourced-attainment number for sales targeting and the influenced-contribution number for marketing targeting on the same record.
Funnel conversion is a BI query
Stage conversion rates require a nightly ETL job.
The marketing-qualified-lead to sales-qualified-lead conversion rate, the SQL to opportunity rate, and the opportunity to closed-won rate live in a BI dashboard built on a nightly ETL job that pulls from the CRM. Monday morning the number is 36 hours old. Strkr computes these conversion rates natively on the funnel view and the data is current to the last stage-change event.
Lifecycle lag is unseen
Lead-to-SQL time by source stays invisible.
The lead-lifecycle report (time from inquiry to MQL, MQL to SQL, SQL to opportunity, opportunity to close) is the single most important view for revops planning capacity. Most teams compute it quarterly from a BI query because the attribution tool does not model stage time. Strkr tracks every stage-change event with timestamp and attribute diff, and the lifecycle report runs live.
Campaign cost is in a spreadsheet
ROI math requires a quarterly manual reconciliation.
Campaign spend lives in the ad platforms, the agency invoices, and the finance ledger. Attribution weights live in the attribution tool. Pipeline lives in the CRM. The ROI math requires a quarterly reconciliation sheet that nobody fully trusts. Strkr pulls campaign cost via the open API from the ad platforms and ties it to the influence weights on the pipeline, so the ROI number is a dashboard view instead of a spreadsheet.
Forecast and attribution never meet
The forecast call does not reference campaign source.
The weekly forecast call runs on the opportunity record with amount, stage, close date, and rep commentary. The attribution model lives in a different tool and never surfaces on the forecast review. Strkr pins the campaign source, the influence weights, and the sourced-versus-influenced flag on each forecast opportunity, so the forecast call can see whether a slipping deal came from a high-cost channel or a sticky partner referral.
What revops software needs to carry
Features for the revops lead who signs off on the number.
Three team shapes come up on buyer calls repeatedly: the growth-stage SaaS revops team at 40 to 150 employees running inbound plus outbound plus partner, the mid-market revops function at 150 to 500 employees with ABM layered on, and the specialist revops consultancy running the ops stack across several portfolio companies. The cards below outline the surfaces each shape asks for and that a dedicated attribution tool plus a generic CRM does not deliver together.
Multi-touch attribution native
W-shaped, U-shaped, linear, time-decay on one record.
Strkr computes multi-touch attribution natively on the opportunity record with configurable models (first-touch, last-touch, linear, U-shaped, W-shaped, time-decay, custom). The influence weights are visible on the opportunity itself and on the campaign dashboard. The revops lead can change the model and see the delta across the quarter without exporting data.
Sourced-versus-influenced split
Two numbers from one record, both auditable.
Every pipeline opportunity carries a sourced-campaign field (the single campaign that generated the lead) and an influenced-campaigns array (the campaigns that touched the deal post-creation). The quarterly dashboard reports both numbers from the same record, so the sourced-attainment and the influenced-contribution tie back to one audit trail instead of two reconciled datasets.
Funnel conversion dashboard
Live stage-conversion rates by segment, source, rep.
The funnel dashboard shows stage-to-stage conversion rates (inquiry to MQL, MQL to SQL, SQL to opportunity, opportunity to closed-won) with slice-and-dice by segment, source, rep, product, and date range. The numbers refresh as stage events occur rather than overnight. Teams running weekly funnel reviews stop building the slide deck by hand.
Lead-lifecycle timing
Time-in-stage averages and p50 or p90 by source.
Strkr tracks every stage-change event with a server timestamp, so the lead-lifecycle report shows average and median and 90th-percentile time-in-stage by lead source, by segment, and by rep. The capacity-planning conversation uses this view to size the SDR team against the realistic MQL-to-SQL time rather than the aspirational one.
Campaign cost import
Google Ads, LinkedIn Ads, Meta Ads cost on the record.
Campaign cost pulls through the open API from Google Ads, LinkedIn Campaign Manager, Meta Ads, and the manual campaign tracker. The ROI dashboard divides sourced-pipeline-value by cost, divides sourced-closed-won by cost, and shows the comparison across quarters. The revops team pulls the number instead of reconciling four spreadsheets.
Forecast with attribution context
Every forecast row shows the campaign source.
The weekly forecast grid shows amount, stage, probability, close date, and the campaign-source plus top-three influence weights for each opportunity. A slipping deal that came from a partner referral reads differently than a slipping deal that came from a paid-ad landing page, and the forecast call can discuss retention versus pipeline-top repair with the right context visible.
Open API with free tier
REST plus webhooks, documented, extendable.
Strkr exposes a documented REST plus webhook API that includes ready-made connectors for Google Ads, LinkedIn Ads, Meta Ads, HubSpot, Marketo, Pardot, and Google Analytics 4. Revops teams running a custom data warehouse (Snowflake, BigQuery, Databricks) can push a nightly feed through the webhook events. The attribution models can be inspected, tuned, and exported.
Strkr AI on revops analysis
The analyst question drafts in 20 seconds.
A revops lead asks Strkr AI which campaigns are driving above-average sales-cycle length, or which segments carry the lowest MQL-to-SQL conversion rate. Strkr AI reads the pipeline, the stage history, the influence weights, and drafts a narrative answer with the records cited. The analyst question that would take an afternoon runs in a few minutes.
Strkr Messaging on nurture
Native SMS at tier-one carrier rates for nurture touches.
Strkr Messaging runs SMS and MMS through tier-one US carriers at a twenty-nine-dollar base plus per-send surcharge. The post-event follow-up text, the dormant-lead revive, and the event-driven nurture touch all run through the audit trail with the influence weight computed into the attribution model. Messaging ships native rather than as a Twilio sidecar.
How Strkr compares with attribution-plus-CRM stacks
Side by side on the revops questions.
Dedicated attribution tools plus a generic CRM plus a BI layer is the common incumbent set. They are strong at specific surfaces (deep model configurability, pretty BI dashboards). They are weaker when the revops lead needs the attribution weights to live on the same record the forecast call references. The grid below shows the direct head-to-head.
Attribution lives on the record
Native versus stitched across tools.
Strkr ships multi-touch attribution as a native field on the opportunity record. The attribution-plus-CRM stack computes attribution in a separate tool and surfaces the weights through a BI dashboard or a reverse-ETL job. The revops lead working inside the CRM sees the influence context directly instead of switching tools.
Sourced-vs-influenced native
Both numbers from one data source.
Strkr models the sourced-campaign field and the influenced-campaigns array on the opportunity. The quarterly dashboard runs both numbers from the same audit trail. The stitched stack typically runs two separate reports with reconciliation footnotes, which is where quarterly disagreement originates.
Flat per-seat pricing
No per-record attribution meter.
Strkr sits on a flat per-seat subscription with attribution, forecast, dashboards, and messaging included. Dedicated attribution tools often price per contact tracked or per record processed, which scales linearly with the lead database. A revops team with 300,000 contacts moves from a four-figure monthly attribution bill to a flat per-seat line.
AI drafting included
Strkr AI on every paid tier with no credit meter.
Strkr AI ships on each paid tier without a per-conversation credit meter under the plan ceiling. Dedicated attribution tools typically do not include natural-language analysis. The revops analyst asks Strkr AI the question in plain English and the draft cites the records referenced.
Open API with free tier
REST plus webhooks, documented, extendable.
Strkr exposes a documented REST plus webhook API that includes ready-made connectors for the major ad platforms, marketing-automation tools, and BI warehouses. Dedicated attribution tools often ship integrations as paid add-ons. Revops teams running a Snowflake or BigQuery warehouse connect the Strkr webhook feed directly.
HIPAA with BAA and SOC 2
Compliance for regulated industries.
Strkr maintains SOC 2 Type II controls under an ongoing third-party audit, with Type II completion targeted for Q4 of 2026, and executes a HIPAA business associate agreement for revops teams serving regulated-industry customers. The admin console carries the compliance record. Procurement review tends to find the compliance answers directly.
Where Strkr fits in a modern revops stack
What the platform replaces and what it integrates with.
The revops tech stack has calcified around four or five categories: attribution, CRM, marketing automation, BI, and the data warehouse. Strkr sits across the CRM and attribution surfaces. The honest list below covers what Strkr replaces outright and what remains in the specialty tool because that specialty tool handles the job more effectively.
Not a marketing-automation engine
Marketo, HubSpot Marketing, Pardot stay.
Strkr does not run drip-nurture, scoring, or marketing-automation workflows at the depth a dedicated marketing-automation tool delivers. Marketo, HubSpot Marketing Hub, and Pardot stay where they are strong. The lead-source and campaign-touch records sync into Strkr through the open API, and the attribution weights compute from those touches.
Not a BI warehouse
Snowflake, BigQuery, Databricks stay.
Strkr does not replace the data warehouse. Teams running a Snowflake, BigQuery, or Databricks warehouse keep it, and Strkr pushes the pipeline, attribution, and funnel events through the webhook feed. The BI layer (Looker, Tableau, Mode) can query the warehouse. Strkr owns the live dashboards. The warehouse owns the long-tail analysis.
Not an ad-management tool
Google Ads Editor, Meta Business Manager stay.
Campaign management stays in the specialty surface. Strkr pulls cost and performance via the open API from the ad platforms and ties the campaign records to the attribution weights on the pipeline. The media team runs the campaigns in the native ad-platform console; revops reads the ROI in Strkr.
Not a product-analytics tool
Amplitude, Mixpanel, Heap stay.
Product-usage analytics (feature adoption, session depth, event funnels inside the product) stays in Amplitude, Mixpanel, or Heap. Strkr can import a product-usage score as a custom field on the account record and let the attribution model weight it, but the specialty product-analytics UI stays where the product team already works.
Not a dialer or sequencer
Outreach, Salesloft, Gong Engage stay.
Strkr runs sequences and native SMS through Strkr Messaging, but the dedicated sales-engagement surface (Outreach, Salesloft, Gong Engage, Apollo) stays where the SDR team already works. The sequence-touch and reply events sync through the open API and feed the attribution model as influence touches.
SOC 2 Type II and HIPAA with BAA
Compliance for the regulated-industry revops team.
Strkr maintains SOC 2 Type II controls under an ongoing third-party audit, with Type II completion targeted through Q4 of 2026, and executes a HIPAA business associate agreement for revops teams serving medical, financial, or regulated customers. The admin console carries the compliance record under the Trust tab.
Head-to-head
Strkr vs an attribution-tool-plus-generic-CRM stack.
The common comparison arises when a revops team runs a dedicated attribution tool plus a generic CRM (HubSpot or Salesforce) plus a BI layer. The dedicated attribution tool is strong at model configurability; the comparison below focuses on where the stitched stack creates reconciliation work and switching math.
Feature
Strkr
Attribution tool + generic CRM + BI
Pricing basis
Flat per seat, attribution included
Per-seat CRM plus per-record attribution plus per-user BI
Attribution on the record
Native fields on the opportunity
Stitched via reverse ETL or BI dashboard
Sourced-vs-influenced split
Both numbers from one audit trail
Two reports, reconciliation required
Funnel conversion dashboard
Live, in product
BI dashboard built on nightly ETL
Lead-lifecycle timing
Native stage-event report
Custom BI query
Campaign-cost import
Open API pull from ad platforms
Manual spreadsheet or paid connector
AI analysis
Strkr AI included on every paid tier
Rarely included
Native SMS
Strkr Messaging over tier-one carriers
Not standard
Open API
REST plus webhooks, documented, free tier
Varies by tool, often paid add-on
HIPAA with BAA
Available on request
Varies by tool
How teams use Strkr
How revops teams run Strkr day to day.
The common thread on teams that choose Strkr for the revops story: they want attribution weights, pipeline, forecast, and funnel conversion on one record rather than reconciled across three tools. Each playbook below runs today on a revops account.
Growth-stage SaaS, 85 employees
Quarterly attribution reconciliation drops from three days to one hour.
An 85-employee SaaS company ran a dedicated attribution tool plus HubSpot plus Looker. The quarterly attribution review took the senior revops analyst three full days to reconcile the attribution numbers against the pipeline numbers against the finance report. After moving to Strkr, both the sourced and influenced numbers compute from the same opportunity record, and the quarterly review takes about an hour of the senior analyst's time. The reclaimed capacity moved to a segmentation-expansion project the team had been deferring for two quarters.
Mid-market services firm, 220 employees
Funnel conversion drives SDR capacity planning.
A 220-employee services firm ran the funnel conversion dashboard in Looker on a nightly ETL. The SDR capacity-planning conversation happened quarterly off a stale report. After moving the funnel dashboard into Strkr with live stage events, the revops team spotted a 14-percent decline in MQL-to-SQL conversion for one segment within a week of the shift. The SDR team added two reps on that segment and the quarter closed within forecast, where the previous pattern had been a late-quarter scramble.
ABM-focused mid-market, 170 employees
Sourced-vs-influenced debate ends after one quarter.
A 170-employee company running an ABM motion had a quarterly argument between marketing and sales about sourced-versus-influenced credit on target accounts. After implementing Strkr with both the sourced-campaign field and the influenced-campaigns array on each opportunity, the QBR deck showed both numbers from the same source. The debate shifted from reconciliation to strategy, and the ABM team got approval for a program expansion the previous quarter's meeting had blocked.
Revops consultancy, 12 consultants
Portfolio clients onboard in two weeks instead of eight.
A revops consultancy serving portfolio-company clients had been standing up a four-tool stack (attribution tool, CRM, marketing automation, BI layer) at each new engagement with an 8-week implementation window. After moving to Strkr for the attribution and CRM surfaces, the consulting team cut the standard engagement to a two-week implementation. The margin on each engagement improved and the consultancy expanded to three new portfolio companies in Q3.
Give the revops team attribution on the record where the forecast lives.
Spin up a 14-day trial with multi-touch attribution, campaign-influence weights, sourced-vs-influenced splits, and the ad-platform cost pulls ready in a sandbox tenant. Compare a flat per-seat line against the current attribution-plus-CRM-plus-BI bill.
How does Strkr's multi-touch attribution compare with a dedicated attribution tool?
Strkr ships multi-touch attribution as a native field on the opportunity record with configurable models including first-touch, last-touch, linear, U-shaped, W-shaped, time-decay, and custom. A dedicated attribution tool typically offers deeper model configurability (per-dimension decay, segment-specific weightings, bespoke rules). For a revops team that needs the depth of a dedicated tool for a research question, that specialty surface stays and Strkr runs the operational attribution for the pipeline and forecast. For most revops teams at 40 to 500 employees, the native attribution covers the operational need without the stitching overhead of a separate tool.
Does Strkr pull cost data from the ad platforms automatically?
Yes. Strkr pulls campaign cost through the open API from Google Ads, LinkedIn Campaign Manager, Meta Ads, and the major programmatic platforms. The cost appears on the campaign record and feeds the ROI dashboard. For platforms without a direct integration, the manual campaign-cost upload runs through a CSV import with a nightly schedule. The spend-to-pipeline and spend-to-closed-won calculations run live rather than on a quarterly spreadsheet reconciliation.
Can we push the Strkr pipeline and attribution events to our data warehouse?
Yes. Strkr publishes stage-change events, attribution weight updates, and campaign-touch events through webhooks. Revops teams running a Snowflake, BigQuery, or Databricks warehouse set up a webhook consumer that lands the events into the warehouse for long-tail analysis. The BI layer (Looker, Tableau, Mode) reads from the warehouse. The live operational dashboards stay in Strkr. The warehouse holds the historical record for compliance and research questions.
How does Strkr handle sourced-versus-influenced attribution?
Every opportunity carries a sourced-campaign field (the single campaign responsible for the lead creation) and an influenced-campaigns array (the campaigns that touched the deal after creation). The sourced number ties back to the campaign that generated the inquiry; the influenced number ties back to every campaign that contributed to the win. The quarterly dashboard reports both numbers from the same audit trail. Both numbers are configurable; the revops lead can change the sourced-model (first-touch, first-form-fill, first-SDR-touch) and the influenced-model independently.
What does migration from a dedicated attribution tool plus HubSpot look like?
The typical switch runs 4 to 8 weeks from kickoff to cutover. Week one is historical data import (opportunities, campaigns, campaign touches, stage history) through the Strkr import API. Weeks two and three cover the attribution-model build where the revops team recreates the existing attribution rules on Strkr. Week four runs a parallel period where both tools score the same quarter and the team verifies the numbers reconcile. Weeks five through eight cover the full cutover with the dedicated attribution tool kept read-only for 60 days. The Strkr delivery team manages the migration on the standard subscription at no additional project cost.
What is the pricing posture for a 120-employee revops team?
Flat per-seat on every paid tier with modules included. A 120-employee team pays per active seat per month on monthly or annual cadence, and the attribution, forecast, funnel, dashboards, and open-API surfaces are all included. There is no credit meter below the plan cap on AI usage. Teams switching from a dedicated attribution tool plus HubSpot or Salesforce typically see 30 to 50 percent lower all-in annual cost once attribution per-record pricing, BI user seats, and marketing-automation seat uplifts are included in the comparison. The pricing page carries the live tier structure and the sales team runs an itemized comparison on request.
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