Feature · Marketing Automation Benefits

The marketing automation benefits that actually move revenue, with the features that produce them.

Six outcomes a serious marketing automation platform delivers; speed-to-first-touch, nurture conversion, lifecycle retention, revenue attribution, operational safety, and ecosystem leverage; paired with the specific Strkr features that make each outcome real.

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How to read this page

Benefits are the frame; features are the evidence.

This page is organized around outcomes. If you report to a CEO, a CRO, or a board, you talk about outcomes; speed, conversion, retention, revenue; not about trigger primitives or journey canvases. This page frames the marketing automation surface the way you need to present it: six benefits a serious platform should deliver, each with the specific Strkr features that make the benefit real. For a pure capability catalog (features without the outcome framing), see marketing-automation-features. For a paired features-and-benefits view, see marketing-automation-features-and-benefits. This page is the outcome-first narrative. The sections below describe six benefits and the features that back them.

Page structure

Six outcomes, each with 6-9 feature cards.

The page covers six distinct benefits a mid-market marketing automation evaluation should prioritize. Each section opens with the benefit, quantifies the typical impact range, and uses feature cards as evidence that the benefit is real on Strkr.

Audience

Executive-narrative framing.

The outcome-first structure fits executive-narrative framing: the audience is the CRO, the CFO, the CEO, or the board. These audiences prioritize outcomes over primitives and need to see impact ranges rather than feature lists.

Honest ranges

Typical outcomes, not peak outliers.

Each benefit section describes impact ranges that typical mid-market B2B teams produce following the pattern on Strkr. The ranges are tails of the distribution we see rather than one-off outliers presented as expected results.

Measurement orientation

Each benefit maps to a metric.

Every benefit section names the metric that moves and the typical range of movement. "Speed-to-first-touch drops from hours to minutes" rather than "faster response". The specificity supports the business-case conversation.

Feature evidence

Not every feature; the ones that produce this benefit.

Feature cards within each section describe only the features that produce that specific benefit. The visual journey builder shows up in multiple sections because it supports multiple benefits; a feature appears where it produces the outcome.

Time-to-value

Each outcome names its typical measurement window.

Mechanical outcomes (speed-to-first-touch) show in 2 weeks. Conversion outcomes show at 60-90 days (one full sales cycle). Retention outcomes show at 6-12 months. The section names the window so the executive sets realistic expectations.

What is covered

The six benefits most mid-market teams prioritize.

Six benefits cover the mid-market B2B evaluation priorities: speed, conversion, retention, attribution, operational safety, ecosystem fit. Niche benefits (specific industry compliance, specific channel coverage) ship as subsidiary feature mentions rather than top-level sections.

What is not covered

CRM benefits catalog separately.

This page covers marketing automation benefits. CRM benefits (pipeline velocity, forecast accuracy, sales cycle compression) catalog on the CRM feature pages. Strkr runs both on one platform; the benefit pages present each side cleanly.

Next steps

Business case, demo, or free trial.

After reading, three actions make sense: build a business case using the impact ranges from each benefit section, book a demo targeted at your top three benefits, or start a free trial to validate the mechanics against your actual data.

Benefit 1; Speed to first touch

Hot leads reach a rep in minutes, not hours.

The industry pattern is unambiguous: MQLs touched within 5 minutes convert at 3-5x the rate of MQLs touched after 24 hours. The lift is one of the strongest signals in B2B revenue data. Marketing automation that cuts time-to-first-touch from hours to minutes delivers measurable conversion lift. Typical range: median time-to-first-touch drops 70-95 percent (from hours to minutes); MQL-to-opportunity conversion lifts 20-50 percent relative over 90 days. The features below produce this benefit.

Real-time lead scoring

Score computes on the write path.

Lead scoring rules evaluate on every record change in sub-millisecond. A new lead scores before the AE opens their queue. The engine never waits for a nightly batch, which is where competing platforms typically lose 12 to 24 hours.

Live-pipeline routing

A-tier leads route to the top queue instantly.

Routing rules read fresh scores and route A-tier leads to the top SDR queue with a 15-minute SLA. Workflows fire on route, notifying the rep and the manager. The lead sits for seconds before the SDR engages.

SLA tracking

Clock starts on the first touch target.

Every A-tier lead starts an SLA clock on route. The dashboard surfaces aging leads approaching the SLA threshold. The manager intervenes before the lead ages past the conversion-killing threshold.

Automated qualification

AI qualifies the long tail without an SDR.

Strkr AI qualifying chatbot engages C and D-tier leads, confirms intent, and either books a meeting (routes to AE) or routes to nurture. The automation covers 40-plus percent of inbound volume without the SDR touching it, which reclaims SDR capacity for A and B.

Chat-triggered touch

An inbound chat starts the automation.

An inbound chat conversation triggers the lead-handling workflow in real time: enrichment call, score computation, routing decision, task assignment. The lead moves from first word in chat to in-queue in sub-second.

Form-submit triggers

Branded forms trigger the full flow.

Branded web forms submit directly into Strkr's automation layer with no API glue. The submission triggers scoring, enrichment, routing, SLA start, and campaign enrollment within sub-second of the submit event.

Slack and mobile notifications

Reps get the alert where they live.

A high-score lead route fires a Slack notification to the assigned rep plus a push notification on the mobile app. The rep sees the alert within seconds of the lead landing, regardless of whether they are in the CRM at that moment.

Enrichment on route

Firmographic context fills before first touch.

Enrichment calls to Clearbit, ZoomInfo, Apollo, or Lusha fire on new-lead creation. The firmographic context (industry, size, revenue, tech stack) lands on the record before the SDR opens it, which supports a context-aware first touch.

Draft-on-task

The first outreach message is pre-written.

When a high-score lead routes to the SDR, the first outreach message drafts in the SDR's voice using the enriched context and the lead's behavior history. The SDR edits the last 5 percent and sends in under 30 seconds, which keeps the end-to-end lead-to-touch cycle under 15 minutes.

Benefit 2; Nurture conversion

Unready leads convert at a higher rate over the full cycle.

The majority of B2B leads are not ready to buy on first touch. The question is whether the marketing team can nurture them to readiness over the cycle. Teams that run stage-aware, objection-matched nurture journeys typically see higher conversion over the full lead lifetime than teams running generic newsletter nurture. Typical range: nurture-sourced opportunity conversion lifts 15-40 percent over 180 days; stalled-deal reactivation rises from 10 percent to 20-25 percent. The features below produce this benefit.

Multi-step journeys

Nurture runs weeks or months, not one email.

Journeys compose multi-step sequences across weeks or months with wait steps, branches, and multi-channel touches. The nurture matches the real cycle time rather than a one-and-done email that gets lost in the inbox.

Objection-matched content

Each nurture addresses specific objections.

AEs flag objections on deals (integration complexity, change management, ROI uncertainty, security, pricing). Each flag enrolls the primary contact in the matching journey. The nurture addresses the objection rather than sending generic content.

Stage-aware enrollment

Different content for Discovery vs Negotiation.

Deal stage changes trigger stage-matched content: Discovery contacts receive educational content, Negotiation contacts receive case studies and ROI calculators, Closed-Lost contacts receive revisit nurture 90 days later.

Behavioral enrollment

Specific actions trigger specific nurture.

A lead who viewed pricing twice this week enters a pricing-focused nurture. A lead who downloaded a technical whitepaper enters a technical nurture. The enrollment matches the signal, not a lifecycle calendar.

Personalization at scale

Every email reads individually.

Merge fields, dynamic content blocks, and personalized recommendations tailor every email in the nurture to the recipient's context. The nurture reads individually rather than as mass-sent generic content.

Multi-channel nurture

Email, SMS, LinkedIn, sales task in one flow.

A nurture journey can send an email, wait 7 days, send an SMS, wait 3 days, assign a LinkedIn task to the AE, wait 5 days, send another email. The multi-channel orchestration matches real engagement rather than siloing per channel.

Reply detection

A reply pauses automated nurture.

When a nurture-sent email gets a reply, the journey pauses and the AE takes over the live conversation. The nurture resumes or exits based on the outcome. The posture avoids the awkward "nurture email arrives mid-conversation" misfire.

A/B optimization

Content variants compete for conversion.

A/B tests on subject lines, send times, and content variants run inside the nurture. The winning variant promotes based on statistical significance. The nurture improves iteratively across quarters rather than staying static.

Stalled-deal reactivation

Dormant deals get a nurture pattern.

Deals that go silent for 30-plus days enroll in a reactivation nurture: a value-summary email, a case study of a similar customer, a check-in from the AE. The reactivation rate typically rises from 10-11 percent to 20-25 percent of silent deals.

Benefit 3; Lifecycle retention

Customers stay longer and expand because the automation reaches them.

Customer retention is cheaper than acquisition by a factor of 5-10x. Marketing automation that reaches the long-tail of customers who are under-served by human CS motion typically produces measurable retention lift. Typical range: time-to-first-value drops 30-50 percent; net revenue retention lifts 3-8 points; long-tail churn drops 20-40 percent over 12 months. The features below produce this benefit.

Onboarding automation

Activation prompts tied to feature use.

Automated onboarding journeys fire on new-customer creation with activation-prompt emails tied to feature-use signals. A customer who has not activated the core feature by day 7 receives a how-to; the journey adapts to actual use.

Product-signal piping

Usage events trigger lifecycle flows.

Product-use events (feature adopted, feature dormant, usage declining) pipe into Strkr through native product-analytics integrations (Mixpanel, Amplitude, Pendo, or custom webhooks). The lifecycle journeys trigger on the signals rather than on calendar time.

Usage prompt journeys

Dormant features surface in-app or in-email.

When a key feature goes dormant for 30 days, a usage prompt journey enrolls the primary user: an in-app notification, an email with how-to content, a CSM task if the account value warrants. The usage recovers before the dormancy becomes churn risk.

Renewal priming

90-day pre-renewal journey.

A renewal priming journey fires 90 days pre-renewal: value-summary email, usage recap, upgrade pitch where appropriate, CSM meeting prompt. The customer enters the renewal conversation with the value already surfaced rather than cold.

Churn-risk detection

Signals trigger recovery flows.

Churn-risk signals (usage decline, support ticket spike, key-user departure, invoice issues) trigger recovery flows: CSM task, exec outreach for high-value accounts, retention-focused content. The CSM gets the signal in time to act.

Expansion detection

Signals trigger upsell cadences.

Expansion signals (feature-limit approach, user-count growth, workaround-pattern indicating missing module) trigger expansion cadences: pitch content, quote generation, AM task. The expansion attach rate typically lifts 25-60 percent.

Long-tail coverage

Automation covers accounts CS cannot touch.

The CS team of 25 CSMs cannot touch 1,500 long-tail accounts manually. Automation covers the long tail with lifecycle journeys that address the common patterns (activation, dormancy, renewal, expansion). CSMs focus on strategic accounts.

Advocacy journeys

Happy customers get activation nudges.

Customers hitting NPS and usage thresholds enter an advocacy journey: ask for a review, invite to a case-study interview, nominate for a reference list. The journey converts latent happy customers into visible references for pipeline.

Communication cadence

Customers hear from the brand on a predictable rhythm.

Account-type-matched communication cadences keep customers hearing from the brand predictably: product-update digests for the technical persona, strategic-impact summaries for the executive persona. The predictability keeps the brand present without over-communicating.

Benefit 4; Revenue attribution

Marketing-sourced revenue is visible, precise, and defensible.

The chronic marketing-automation problem is attribution: which touches produced which revenue. In two-tool stacks (marketing automation + separate CRM) the sync-layer loss makes attribution approximate. Strkr's one-platform posture produces precise attribution because the data lives in one event stream. Typical outcome: marketing-sourced vs sales-sourced attribution conversations shift from debate to data; marketing budget protects or expands because contribution is visible in the CRO forecast. The features below produce this benefit.

Single event stream

Attribution reads from one database.

CRM and marketing automation live in one database on Strkr. Attribution reads a single event stream: every touch, every reply, every meeting, every stage advance. No sync-layer loss, no reconciliation across tools, no approximation.

Multi-touch models

First, last, linear, time-decay, position-based.

Five attribution models apply on the same event stream. Model switching produces precise comparisons rather than approximate ones. The CRO can review marketing-sourced revenue under multiple attribution assumptions on one surface.

Marketing-sourced pipeline

Rolls up on the CRO forecast.

Marketing-sourced opportunities carry the attribution tag on the deal record. The forecast surface rolls up marketing-sourced pipeline alongside sales-sourced. The CRO sees marketing contribution in the quarterly forecast review.

Marketing-influenced tracking

Separate from sourced.

Marketing-influenced tracks separately from marketing-sourced: deals that touched a marketing journey at some point without being sourced from marketing. The split acknowledges influence without overclaiming sourcing.

Per-campaign ROI

Every campaign ties to revenue.

Per-campaign reports show open rate, click rate, opportunity-created rate, and revenue attributed. The campaign ROI is visible per send rather than requiring reconstruction across tools.

Per-journey ROI

Nurture journeys tie to revenue.

Per-journey reports show enrollment volume, step-by-step conversion, average time to conversion, and revenue per enrolled contact. The nurture journey ROI is defensible rather than anecdotal.

BI tool exports

Native integrations to Looker, Tableau, PowerBI.

Marketing automation metrics export to Looker, Tableau, PowerBI, and Metabase through native integrations. The RevOps lead builds custom attribution dashboards in the BI tool the business already uses.

Historical attribution

Attribution reconstructs for past deals.

Historical deals carry the full attribution history. A quarter-end attribution review can run against the full event stream rather than only going-forward data. The posture matters when the CRO wants to understand "what have we been doing for the last four quarters."

Attribution audit

Every touch logged in the audit trail.

Every marketing touch (email send, journey enrollment, click, reply) lands in the immutable audit log. A disputed attribution reconstructs from the audit log with full fidelity. The posture supports the attribution conversation in sales and marketing alignment reviews.

Benefit 5; Operational safety

The marketing team ships without breaking production.

A marketing automation platform used by a team of three is a prototype; a platform used by a team of fifty is governance-dependent. The 50,000-email mistake, the deliverability crash, the segment misfire; these are the production incidents that erode CMO credibility. Operational safety is a benefit even when it is invisible. Typical outcome: production incident frequency drops substantially; SOC 2 Type II attestation on marketing automation holds without additional controls. The features below produce this benefit.

Three environments

Dev, stage, prod per tenant.

Marketing automation builds in dev, tests in stage against stage data, promotes to prod with approval. A buggy journey in dev cannot touch production contacts. The three-environment model is standard in application code; Strkr brings it to marketing automation.

Dry-run testing

Run the journey without side effects.

Dry-run mode executes a journey end-to-end against test cohorts with no persistent writes, no real email sends, no external calls. The marketing team sees exactly what the journey would do in production before publishing.

Bulk-action limits

Prevent the 50,000-email mistake.

Bulk-action primitives (send email, update records, create tasks) carry per-tenant limits. A journey that would trigger more than the limit flags for approval. The posture catches the loop-misfire pattern before it fires.

Approval gates

Production publishes require review.

Production journey publishes require approval from a named approver. The approver reviews the diff, the test results, and the risk assessment. The four-eyes principle holds on sensitive marketing automation changes.

Role-based editing

Segregation of duties by role.

Marketing automation specialists can author journeys but cannot publish to production. Marketing operations leads can approve and publish. Platform admins manage approval policies. The segregation protects production from unreviewed changes.

Journey versioning

Rollback is one click.

Journey edits version per save with git-like diffs. In-flight contacts stay on their enrolled version through subsequent edits. One-click rollback restores a prior working version if a published change proves problematic.

Immutable audit log

Every edit, publish, send, consent change logged.

Every change to the marketing automation surface lands in an immutable audit log with the actor, timestamp, before-state, after-state, IP address. Compliance reviews, incident response, and post-mortem reconstruction all read the audit trail.

Deliverability monitoring

Reputation alerts before the cliff.

Deliverability monitoring tracks reputation per sender domain, bounce rate, complaint rate, and delivery distribution. Alerts fire on reputation degradation so the marketing team acts before the cliff-drop in open rates.

SOC 2 Type II

Enterprise attestation on marketing surface.

The marketing automation surface inherits the platform's SOC 2 Type II attestation. Enterprise security reviews clear the surface in days rather than months. The compliance posture is a non-issue in enterprise sales conversations.

Benefit 6; Ecosystem leverage

The stack integrates without a middleman subscription.

A marketing automation platform earns compounding value when it integrates with the rest of the stack cleanly. The alternative; a middleman iPaaS subscription, custom integration code, maintained sync mappings; eats RevOps time and introduces fragility. Strkr's one-platform posture and 50-plus native connectors keep the integration tax low. Typical outcome: RevOps time on integration maintenance drops substantially; subscription count simplifies; stack change-management discipline reduces to one surface. The features below produce this benefit.

One-platform CRM + marketing

No sync layer between the two.

Marketing automation runs on the same database as the CRM. Pipeline, deal, contact, and product-use data read natively. The 10-20 percent of RevOps time that typically goes to maintaining the sync layer between separate marketing automation and CRM tools disappears.

50-plus native connectors

The rest of the stack plugs in.

Native connectors to Salesforce, HubSpot, Mailchimp, Google Workspace, Microsoft 365, Zoom, Slack, DocuSign, Stripe, Zendesk, Shopify, and 40-plus more. No middleman iPaaS subscription required for the standard revenue stack.

Bidirectional sync

Native connectors sync both ways.

Native connectors run bidirectional sync for CRM-to-CRM pairs (Strkr + Salesforce, Strkr + HubSpot) and for marketing automation migration (Mailchimp, ActiveCampaign). Field mappings, conflict resolution, and audit all ship as part of the connector.

API-first extension

Public REST APIs on every object.

Public REST APIs on every CRM and marketing automation object with full CRUD. TypeScript and Python SDKs wrap the APIs. Engineering extends with any in-house integration without hitting a canvas ceiling.

Outbound webhooks

Any event posts to any URL.

Outbound webhooks fire on record changes, journey executions, consent changes, approval decisions. Downstream systems receive events in real time rather than polling. The posture avoids the polling pattern that creates latency and load.

Product-analytics integrations

Mixpanel, Amplitude, Pendo, custom.

Native integrations with Mixpanel, Amplitude, and Pendo pipe product-use events into Strkr for lifecycle marketing triggers. Custom analytics tools integrate through inbound webhooks. The product-signal layer feeds marketing automation directly.

BI tool exports

Looker, Tableau, PowerBI, Metabase native.

Marketing automation metrics export natively to Looker, Tableau, PowerBI, and Metabase. The RevOps lead builds custom dashboards in the BI tool the business already uses without CSV exports or custom data pipelines.

Communications integrations

Slack, Teams, SMS natively.

Native integrations with Slack and Microsoft Teams post marketing-automation events (campaign send, lead score tier change, journey completion) to channels. Strkr Messaging handles SMS send and inbound with A2P 10DLC registration included. The channel mix supports internal workflow and external customer touch.

Enterprise iPaaS compatibility

Workato, Mulesoft, Boomi still work.

For very large enterprise cases requiring a dedicated iPaaS alongside, Strkr integrates cleanly with Workato, Mulesoft, Boomi, and Celigo through public APIs and outbound webhooks. The in-platform integration covers mid-market; the enterprise iPaaS pattern remains available.

Marketing automation benefits that move revenue, with the features that make each benefit real.

Speed-to-first-touch, nurture conversion, lifecycle retention, revenue attribution, operational safety, and ecosystem leverage; six outcomes a serious marketing automation platform delivers, each backed by the specific Strkr features that produce it.

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Common questions

What buyers ask about this feature.

How is this page different from the marketing-automation-features and marketing-automation-features-and-benefits pages?

The three pages present the same marketing automation surface in three different structures for three different evaluation moments. This page (features-benefits) is outcome-first: the six benefits a serious marketing automation evaluation should prioritize are the organizing frame, with features used as evidence that each benefit is real. The marketing-automation-features page catalogs features in pure enumeration form, which supports side-by-side feature comparison against competing products. The marketing-automation-features-and-benefits page pairs each feature with its specific benefit one-to-one, which supports a first-time evaluator who wants to connect capability to outcome without having to construct the connection themselves. Use this page for executive-narrative framing (CEO, CRO, CFO, board). Use the features page for comparative evaluation. Use the features-and-benefits page for first-time orientation.

What outcome ranges can we realistically expect on each of the six benefits?

Typical ranges by benefit for mid-market B2B teams. Speed-to-first-touch: median time-to-first-touch drops 70-95 percent (from hours to minutes); MQL-to-opportunity conversion lifts 20-50 percent relative over 90 days. Nurture conversion: nurture-sourced opportunity conversion lifts 15-40 percent over 180 days; stalled-deal reactivation rises from 10 percent to 20-25 percent. Lifecycle retention: time-to-first-value drops 30-50 percent; net revenue retention lifts 3-8 points; long-tail churn drops 20-40 percent over 12 months. Revenue attribution: marketing-sourced revenue shifts from approximate to precise; attribution-model switching produces precise comparisons; marketing budget protects or expands based on visible contribution. Operational safety: production incident frequency drops substantially (the 50,000-email mistake becomes a near-impossibility); SOC 2 Type II attestation on marketing automation holds without additional controls. Ecosystem leverage: RevOps integration-maintenance time typically drops 10-20 percent; subscription count simplifies (often two tools consolidate to one); change-management discipline runs on one surface.

Which benefits typically produce the fastest measurable results?

The six benefits produce results on different time horizons. Fastest to show results: operational safety (mechanical changes land immediately; the three-environment posture, approval gates, bulk-action limits all take effect within hours of configuration), speed-to-first-touch (mechanical changes show within 2 weeks because the handoff latency drops immediately on routing-and-SLA setup). Medium time-to-show: nurture conversion (shows at 60-90 days because the lead cohorts have to work through the sales cycle to see opportunity-created lift), revenue attribution (shows at 60-90 days because attribution models need a full sales cycle of event data to produce credible model comparisons). Longest time-to-show: lifecycle retention (shows at 6-12 months because retention metrics require customer cohorts to work through the full renewal cycle), ecosystem leverage (shows at 6-12 months because the time savings compound as additional integrations consolidate and as RevOps time redeploys to new motion). Executives planning a business case should set expectations accordingly.

How do we build a business case using the benefits on this page?

A standard mid-market B2B business case for marketing automation adoption on Strkr follows four steps. First, baseline the current state on each of the six benefits: current time-to-first-touch, current MQL-to-opportunity conversion, current nurture conversion, current stalled-deal reactivation rate, current NRR, current long-tail churn, current attribution precision, current RevOps time on integration maintenance, current marketing automation production incident count. Second, apply the typical outcome ranges from this page to the baseline numbers to project the mid-range outcome at 90 days (speed, nurture) and 12 months (retention, ecosystem). Third, translate the projected outcomes to dollar impact using the business's ACV, conversion rate, and customer lifetime value. Fourth, compare the projected dollar impact to the platform cost (subscription plus implementation) and the alternative-stack cost (two tools plus integration maintenance). The ROI typically pays back within 2-3 quarters for mid-market teams. The business case format fits the CFO and CRO conversation; it also supports the quarterly review of actual results against projected.

What role does the one-platform CRM + marketing automation posture play across the six benefits?

The one-platform posture is a structural driver of at least four of the six benefits. Speed-to-first-touch: lead scoring and routing run on the write path with live CRM data, which cuts latency from hours to minutes compared to tools that sync between separate marketing automation and CRM. Revenue attribution: attribution reads from one event stream, which produces precise multi-touch model comparisons rather than approximations from reconstructed data across tools. Operational safety: one platform means one change-management discipline, one audit log, one SOC 2 attestation to review, which simplifies the governance surface and reduces the surface area where incidents can originate. Ecosystem leverage: no sync layer to maintain between CRM and marketing automation reclaims the 10-20 percent of RevOps time that typically goes to that work in two-tool stacks. Nurture conversion and lifecycle retention benefit less structurally from the one-platform posture (they would work on separate tools too), but they still benefit from segmentation freshness and signal availability that the one-platform data layer provides. For teams evaluating against two-tool stacks (marketing automation + separate CRM), the one-platform structural advantage shows up materially in four of six benefit sections.

How do we know the ranges on this page are honest rather than vendor marketing claims?

Three things keep the ranges honest. First, every benefit section describes impact ranges rather than peak outlier numbers. "20-50 percent lift in MQL-to-opportunity conversion" is the typical range we see across comparable mid-market B2B teams, not the single best outcome of the best-case customer. Second, every section acknowledges the measurement window: 2 weeks for mechanical changes, 60-90 days for conversion changes, 6-12 months for retention changes. A vendor claiming 400 percent lift in 30 days on retention is not credible because retention requires a full renewal cycle to measure. Third, the page acknowledges that marketing automation is one lever among several (sales motion, product-market fit, pricing, market conditions all interact with automation effect). The outcome ranges describe what marketing automation contributes, not what it alone produces. For teams that want to validate the ranges against their specific baseline, Strkr's sales team can walk through a scenario-planning exercise using actual baseline numbers from your current state. The point is to help you plan, not to oversell.

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