Built for RevOps teams running annual and quarterly planning
Sales planning software that reads live pipeline instead of a stale CSV from last quarter.
Anaplan and Varicent were built for an era when planning data lived in a spreadsheet. Today the pipeline, the quota attainment, the capacity model, and the territory assignment should move together. Strkr ships sales planning next to the live CRM so the plan reflects reality and the reality reflects the plan.
Annual sales planning is the exercise that eats October through December at most B2B companies. The RevOps lead builds a workbook that maps rep-level quotas to territory assignments, pulls capacity from the HR system, cross-references historical attainment, and ships a model to the CRO. The CRO wants to run six what-if scenarios before signing off. The CFO wants the top line to match the board plan. The sales ops team wants the quotas on the comp plan by December 20 so January kicks off on time. The reality on most teams: the workbook lives in Excel or a bolt-on planning tool, the data is 11 months stale by August of the following year, and the mid-year adjustment is a two-week fire drill because the plan and the pipeline live in different systems. The pattern below is the specific set of failures that Strkr's sales planning is designed to solve.
The spreadsheet plan goes stale on day one
The annual model does not read live attainment.
A planning workbook that nails the top-of-year numbers starts drifting from reality the moment January closes. Rep hires slip, open-headcount capacity sits empty, early-year attainment comes in uneven. The workbook does not know, because the data is a snapshot. Strkr's planning workspace reads live CRM data so the quota-vs-attainment and capacity-vs-filled-headcount views refresh daily without a reimport step.
Anaplan and Varicent cost a mortgage
The enterprise planning tools price out the growth-stage team.
Anaplan runs 125,000 to 400,000 dollars annually for a mid-market team, with an implementation cycle of 6 to 18 months and a certified-admin requirement. Varicent is in a similar range. The capability is real; the price point is a different conversation than the growth-stage team can have. Strkr's planning sits on the same per-seat line as the CRM, with no separate planning license and no multi-month implementation.
Territory assignment lives in a map
Reassigning 500 accounts across 11 reps is a weekend project.
Territory assignment usually lives in a Google Map, a Snowflake dbt model, or a BI dashboard that nobody can edit after the first-of-year freeze. Mid-year adjustments are a weekend project because the data moves between the territory tool, the CRM, and the comp plan with no shared source of truth. Strkr's territory engine runs on the CRM contact and account records with inheritance rules, so a reassignment is a two-hour operation.
Capacity modeling misses the ramp curve
A new hire on March 1 is not productive until July.
Capacity models that assume full productivity on hire date over-count the number by 20 to 35 percent in the first two quarters. A new hire on March 1 ramps to ~70 percent of quota by month 4 at a typical B2B SaaS, and most capacity models never adjust for the curve. Strkr's capacity model takes a per-role ramp curve and applies it to actual start dates, which produces a capacity number the CFO can trust.
Quota setting is a political exercise, not a math exercise
Reps negotiate the quota, which produces the inverse of good incentives.
When quotas get set in a workshop and reps negotiate individually with management, the result is that the strongest negotiators get the easiest numbers. The exercise is political and produces an inverse of good coverage. Strkr's quota-setting workflow runs a top-down target through territory-level fairness checks (expected pipeline, historical attainment, segment TAM) before publishing individual numbers, which keeps the exercise defensible under scrutiny.
Scenario planning requires a copy of the workbook
What-if runs are an evening of manual spreadsheet math.
The CRO asks "what happens if we add 4 reps in Q2 and raise mid-market quotas 8 percent." The RevOps lead copies the workbook, changes the inputs, pivots the output, and sends it back. The cycle takes 2 to 4 hours per scenario. Strkr's scenario engine clones the plan, applies the changes, and shows the delta against the baseline in under a minute, so the CRO can run six scenarios in a Monday meeting instead of six evenings.
What the planning workspace ships
A planning tool that reads the CRM and writes back.
Sales planning that lives in a separate tool from the CRM creates a reconciliation problem that compounds every month. Strkr's planning workspace reads the live CRM for pipeline, attainment, and capacity, and writes back the territory, quota, and routing assignments. The capability cards below ship on every paid tier.
Territory engine
Account and contact routing by rule.
The territory engine assigns accounts and contacts to reps by rule: geography, segment, named-account list, industry, revenue band, or any combination. The rules carry priority order and tie-breakers. A re-run of the engine on a Monday morning produces the new routing with a before-and-after preview and a one-click apply. Mid-year adjustments stop being weekend projects.
Quota setting with fairness checks
Top-down target to bottom-up individual numbers.
The quota workflow starts with a top-down company target and allocates to teams, segments, and individuals using historical attainment, pipeline coverage, segment TAM, and tenure as inputs. The admin can override individual numbers with a reason field that lands in the audit log. The output is defensible under a comp-plan dispute because the math is explicit and the overrides are documented.
Capacity modeling with ramp curves
Headcount capacity that respects the ramp reality.
Capacity modeling takes a per-role ramp curve (percentage of quota achievable in months 1 through 6) and applies it to actual start dates to produce a monthly capacity number. The ramp curves are tenant-configurable and typically default to 25 / 45 / 65 / 85 / 95 / 100 percent for a typical B2B SaaS AE role. The capacity number is the one the CFO uses to reconcile top-of-funnel targets against expected close.
Scenario planning in minutes
Clone, change, compare, approve.
A scenario is a cloned plan with changed inputs: additional headcount, different territory split, revised quotas, higher pipeline coverage. The scenario engine computes the output and displays the delta against the baseline in a single view. The CRO runs six scenarios in a Monday meeting; the ops lead no longer rebuilds a workbook for each one.
Pipeline-to-plan reconciliation
The forecast ladders up to the quota.
The weekly pipeline review ties individual pipeline coverage to individual quota attainment with a visible gap-to-plan metric. The number is live, not snapshotted. The rep knows their coverage ratio, the manager knows the team's, and the CRO knows the whole motion. The reconciliation exercise that used to run every Thursday on a BI dashboard disappears.
Named-account and ABM support
The 50-account list routes with the rest of the book.
Named accounts and ABM lists get first-class routing: a 50-account list can be assigned to a specific rep or team, prioritized above general-territory accounts, and tracked separately in reporting. The pattern matters because most planning tools treat ABM as a special case and most CRMs treat it as a tag. Strkr handles it as a routing primitive.
Compensation plan interface
The quota feeds the comp calc.
Strkr's planning writes the per-rep quota, territory, and segment assignment to a compensation plan interface that CaptivateIQ, Spiff (now Salesforce Spiff), Everstage, and Palette consume via API or scheduled export. The comp admin never re-enters quotas by hand. The common pattern of a mismatched quota between the planning tool and the comp tool disappears.
Approval workflow with sign-off
The CRO signs off on the published plan.
The planning workflow routes individual quota publications through an approval step: the manager reviews, the VP approves, the CRO signs off. Each step records in the audit log. When the first-of-year attestation comes due, the full history is on record. The pattern matters for public companies and regulated industries where quota-setting process is auditable.
Mid-year adjustment flow
The plan version-bumps without breaking comp.
Mid-year adjustments (new hires, territory redistribution, segment pivots) run on a plan-version model: v1 ran January through May, v2 kicks off June 1. The comp plan references the version in effect per month. Attainment calculations prorate across versions when they cross boundaries. The RevOps lead can adjust mid-year without rewriting the comp plan.
Where Strkr beats Anaplan or a spreadsheet plan
The six places sales planning actually breaks today.
Anaplan, Varicent, Pigment, and the enterprise planning tools solve the planning math at a cost point and complexity point that fit the Fortune 500. Spreadsheets solve the smallest teams. The gap in the middle (growth-stage, mid-market, revenue teams of 20 to 300 seats) is where sales planning is currently a mess, and where Strkr fits.
Live data, not a snapshot
The plan reads today's pipeline, not January's.
Anaplan and spreadsheet-based plans run on data imported at planning time. Strkr's plan reads the live CRM, so attainment, coverage, and capacity update daily without a reimport. The mid-year adjustment conversation starts with current numbers.
No separate planning tool to buy
Planning sits on the CRM per-seat line.
Anaplan is a separate license, a separate implementation, and a separate admin. Strkr's planning workspace sits on the same per-seat tenant as the CRM. The growth-stage team gets the planning capability without a six-figure planning line.
Ramp curves that match reality
The capacity model does not assume day-one productivity.
Spreadsheet-based capacity models typically assume linear productivity from start date. Strkr's per-role ramp curve applied to actual start dates produces a materially more honest capacity number, which affects the top-of-year commit to the board.
Territory as a rule, not a map
Routing rules carry priority and tie-breakers.
Territory tools that live outside the CRM manage the map; the routing is a Monday-morning assignment project. Strkr's rule engine runs the assignment with priority order and tie-breaker logic, which handles edge cases (new account that matches two segments, named account that overlaps a geo) without a one-off override.
Scenario speed
Six what-ifs in a meeting, not six evenings.
A scenario-planning cycle on a workbook is 2 to 4 hours per run. Strkr's scenario engine clones the plan, applies changes, and shows the delta in under a minute. The decision cadence tightens from monthly to daily.
Audit trail on quota changes
Every override has a reason and a signer.
Quota changes in a spreadsheet lose their rationale. Strkr's workflow attaches a reason and a signer to every override, which is the audit evidence that defends a comp-plan dispute. For public companies, the trail is a baseline SOX expectation.
What this changes operationally
The planning cycle and the operating cadence.
Sales planning software is not a one-time event in October; it is the operating backbone of the sales motion all year. The outcomes below are what the planning cycle looks like once planning, CRM, and comp live on the same tenant.
Annual planning compresses
From 10 weeks to 4 weeks.
The annual planning cycle on a spreadsheet model takes 8 to 12 weeks on a growth-stage team because every change ripples through the workbook manually. Strkr's plan runs in a connected graph, so a change in territory rolls through to quota, capacity, and comp automatically. Reported planning cycle times across customer accounts land in the 3 to 5 week range.
Mid-year adjustments stop being fire drills
The June reset is a Tuesday afternoon operation.
Mid-year adjustments on a spreadsheet model are a week of RevOps work and a week of comp admin cleanup. On Strkr, the plan version-bumps and the comp plan references the version, so the actual mid-year reset runs in a few hours. The RevOps lead stops dreading the Q2 planning meeting.
Rep retention improves on fair quotas
Transparent math reduces churn risk.
When reps can see the math behind their quota (expected pipeline, historical attainment, segment TAM, tenure adjustment) the perception of "unfair quota" that drives mid-year rep churn drops. Reported quota-related churn declines in the first two years of running the planning workflow, which is the one lever that pays for the whole project.
Forecast accuracy climbs
Plan + pipeline + capacity ladder up cleanly.
When the plan, pipeline, and capacity live on one tenant, the forecast accuracy against commit tightens materially. Reported forecast accuracy (variance vs commit at quarter close) tightens from the 15 to 25 percent band typical of a spreadsheet-based motion to the 5 to 10 percent band typical of a connected planning workspace.
The CRO decision cadence tightens
What-ifs run in meetings, not between them.
When scenario planning runs in a minute, the CRO decision cadence moves from monthly cycles that chase the data to live decisions that respond to it. The weekly operating review becomes a planning review as much as a pipeline review.
Audit posture holds for SOX and comp disputes
Every override has a signer.
When a comp-plan dispute surfaces or a SOX auditor asks for quota-setting process, the audit trail is one query. The pattern of "we had the rationale but it was in Rob's email" ends because the rationale lives in the override log.
Head-to-head
Strkr sales planning vs Anaplan or a spreadsheet-based model.
The practical choice for a growth-stage or mid-market revenue team is between a spreadsheet-based plan (cheap, drifts fast) and an enterprise planning tool (capable, expensive, slow to implement). Here is the head-to-head on the capabilities that drive the planning cycle.
Feature
Strkr
Anaplan / Varicent / Spreadsheet model
Data freshness
Live from CRM, daily refresh
Snapshot at planning time; reimport required
Implementation cycle
14 to 30 days typical
Anaplan: 6 to 18 months; spreadsheet: self-serve
Pricing basis
Flat per CRM seat, planning included
Anaplan: separate license 125k to 400k; spreadsheet: zero
Territory engine
Rule-based with priority and tie-breakers
Map-based or named-account list
Capacity ramp curves
Per-role curves on actual start dates
Linear or flat assumption typical
Scenario cycle time
Under a minute per scenario
2 to 4 hours per scenario on workbook
Mid-year adjustment
Plan version-bump, comp follows
Full-week RevOps project typical
Audit trail on overrides
Reason and signer per override
Lost in spreadsheet versioning
Comp plan interface
API or scheduled export to CaptivateIQ, Spiff, Everstage
How RevOps teams run sales planning on Strkr today.
The playbooks below are from mid-market and growth-stage revenue teams that moved sales planning off a spreadsheet or an Anaplan install onto Strkr. Each is live today.
Growth-stage B2B SaaS, 65 seats
Replaced an Anaplan evaluation with Strkr planning.
A 65-seat growth-stage B2B SaaS was evaluating Anaplan at a 180,000-dollar annual list with an 8-month implementation path. The RevOps lead ran a side-by-side pilot of Strkr's planning workspace against the same model structure. Strkr covered 90 percent of the capability at zero additional cost beyond the CRM seat. The team closed the Anaplan evaluation and ran the first annual cycle on Strkr in 11 weeks. Mid-year adjustment compressed from the previous 9-day cycle to a 2-day cycle.
Mid-market industrial manufacturer, 180 reps
Territory engine replaced a Mapbox-based planning file.
A 180-rep industrial manufacturer ran territory assignment on a Mapbox file that the ops lead maintained manually. Routing changes took 2 to 3 days of map editing plus a weekend of CRM reassignment. On Strkr, the territory engine runs on a 40-line rule set with priority order. The ops lead reported a mid-year reassignment of 2,400 accounts across 11 reps completed in 4 hours including the sign-off step.
Series C fintech, 42 AEs
Quota fairness checks killed the "squeaky wheel" allocation pattern.
A Series C fintech ran quota setting through a workshop model where reps negotiated individually with their managers. The result was that the strongest negotiators landed the easiest numbers, with the quota-to-pipeline ratio varying 3-to-1 across the team. Strkr's top-down allocation with fairness checks produced a ratio that varied under 1.4-to-1 and surfaced the overrides with reasons. Rep complaints at January kickoff dropped from the previous year's 18 formal escalations to 3.
Enterprise RevOps, 320 seats
Capacity ramp curves changed the top-of-year commit.
A 320-seat enterprise sales org previously ran a linear capacity model that assumed day-one productivity on new hires. The CFO had been noticing a persistent variance between planned and actual attainment in H1 of each year. Strkr's ramp-curve model reduced the planned H1 capacity by roughly 11 percent, which brought the commit-to-actual variance down from 14 percent to 4 percent. The CRO used the honest number for the next board commit cycle.
Managed-service MSP, 48 reps
Scenario engine ran 7 what-ifs in a Monday planning session.
A 48-rep managed-service MSP ran a quarterly planning session where the CRO wanted to see 7 scenarios: three for pricing changes, two for territory rebalances, two for headcount pulls. The previous workbook-based cycle would have taken a week of RevOps work. Strkr's scenario engine ran all 7 in the meeting itself with the CRO making the sign-off decision on the Thursday rather than the next quarter.
Sales planning that reads live pipeline and writes to the comp plan.
Start a 14-day trial with the planning workspace, territory engine, quota allocation, and scenario planning enabled on a sample model. Run a what-if against your actual pipeline and see the output in a minute instead of an evening.
How does Strkr sales planning compare to Anaplan for a mid-market team?
Anaplan is the deeper enterprise planning platform with a modeling language (Anaplan calculation engine) that handles complex multi-dimensional models. For a mid-market revenue team of 50 to 300 seats focused on quota, territory, capacity, and scenario planning, Strkr covers roughly 85 to 90 percent of the capability without the Anaplan implementation cost or admin certification requirement. For teams with highly custom modeling needs (multi-currency, multi-entity, complex eliminations) that are already running Anaplan at corporate finance scale, keeping Anaplan at the top layer and using Strkr for the sales operating planning is a common pattern.
Does Strkr handle multi-year planning?
Yes. The planning horizon supports annual and multi-year models with per-year quotas, territory versions, and headcount plans. The common pattern is to build a 3-year outlook with the current year detailed to the rep level and the out-years at team-and-segment level. The out-year detail refines as the year approaches, with the current-year model promoted to detailed on the planning cycle each fall. The multi-year view feeds the long-range plan that boards and investors want to see.
How does the comp plan interface work with CaptivateIQ or Spiff?
Strkr writes the per-rep quota, territory, segment, and effective dates to a comp plan interface that CaptivateIQ, Spiff (now Salesforce Spiff), Everstage, Palette, and Oracle Incentive Compensation consume via API or scheduled export. The comp admin references the Strkr-published plan rather than entering quotas by hand, which eliminates a specific class of mismatch between what the planning tool says and what the comp calculation uses. For teams on a different comp tool, the Strkr open REST API supports custom integration.
Can Strkr handle named-account and ABM planning alongside geographic territories?
Yes. The territory engine treats named-account lists and ABM programs as first-class routing primitives with priority rules: a named account that overlaps a geographic territory routes to the named-account rep rather than the geographic rep, with the overlap handled by the priority rules. Reporting treats named-account attainment as a separate metric from territory attainment, so the ABM team's success does not get folded into the general-territory numbers. The pattern matters because most planning tools force a one-dimension-fits-all choice between geographic and named-account routing.
What is the time-to-value for Strkr sales planning on a mid-market team?
For a team already on Strkr CRM, the planning workspace typically goes live in 2 to 4 weeks: data model review, territory rule configuration, quota allocation setup, capacity ramp-curve configuration, approval workflow configuration, and training. For a team new to Strkr, the full stack (CRM plus planning) typically goes live in 6 to 10 weeks on a mid-market tenant. The timing is driven by data cleanup and team training rather than configuration complexity, which is unusual for a planning tool and specifically a design goal.
How does Strkr handle quota-attainment reporting for SOX compliance?
Strkr tracks quota publication, overrides, mid-year adjustments, and attainment calculations with a full audit trail: who approved what, when, with what rationale. The attainment reporting is calculated from the published quota at the point of the deal close, which handles plan-version boundaries correctly. For SOX-compliance purposes, the audit trail is a standard query output; the quota-setting process is documented in a tenant-specific playbook that becomes part of the SOX control narrative. Teams in public companies and regulated industries have cleared SOX audits using the standard output without customization.
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