Bowtie Funnel Calculator
Most SaaS teams look at the top of the funnel and the bottom of the funnel. Real growth is decided by what happens between every stage — and what happens after the sale. Use this simulator to map the conversion rates that drive your ARR, then read below to understand what each stage actually is and how to improve it.
ARR growth over 12 months
—
Month-by-month breakdown
| Month | New | Churned | Net | Total | ARR |
|---|
Understanding the Model
The simulator models the seven stages of the bowtie funnel — the left side is how prospects move from stranger to customer, the right side is how customers move from signed to expanding. Each conversion rate is the percentage of people who move from one stage to the next.
Most SaaS teams model pipeline up to Commitment and stop. The simulator extends through Onboarding, Impact, and Expansion because that's where retention, advocacy, and net revenue retention actually live. A great top-funnel cannot outrun a leaky post-purchase funnel forever.
None of these percentages are fixed. They move when messaging gets sharper, when distribution gets better, when sales enablement changes, when onboarding improves. The point of the simulator isn't to accept your current rates — it's to see which one, if moved 10 points, changes your 12-month ARR the most.
Stage-by-Stage Guide
The top of the pre-purchase funnel. People who have been exposed to your brand, message, or category for the first time. They don't yet know they have a problem, or they know they have a problem but haven't started evaluating solutions. This is the widest part of the bowtie — and the stage most B2B SaaS teams under-invest in.
The percentage of people aware of your brand who move into active learning mode — reading your content, watching your videos, following you on LinkedIn, searching for more information.
40% to 70% at this stage is a reasonable range, depending entirely on the quality of your top-funnel targeting and content. Broad-reach awareness campaigns with weak targeting will sit on the low end. Narrow, ICP-specific content with genuine POV will sit at the high end.
Sharper ICP definition so the wrong audiences aren't entering the funnel. Stronger POV-led content that earns genuine attention instead of vanity reach. Distribution plans that put content in front of the right audience — LinkedIn, YouTube, communities, podcasts — instead of optimizing for total impressions.
How I help: Content Marketing and Demand Generation engagements →
Prospects who are problem-aware but solution-unaware. They've started researching, but they haven't decided what category of solution fits yet, or which vendors belong on the shortlist. This is where buyers form preferences — and where most B2B SaaS loses the deal months before a demo is booked.
The percentage of engaged prospects who move from general learning into active vendor evaluation for your category.
20% to 50% is a reasonable range. The lower end is typical when content is generic or when the buyer has been educated by a competitor first. The upper end happens when your content actively shapes how buyers define the category.
Subject matter expert content that frames the problem on your terms. Original research and data. Comparison content, teardowns, and demonstrations that make your category feel real. Customer stories that let a buyer see themselves in the solution.
How I help: Content Marketing and SEO / AEO / GEO →
The classic "evaluation stage." Buyers are problem-aware and solution-aware. They know your category exists, and now they're choosing between options. A growing share of this stage now happens inside AI tools and on third-party review platforms before the buyer ever lands on your site.
The percentage of evaluating buyers who choose you and move into a buying decision — trial, contract, or qualified sales conversation.
15% to 35% depending on category competitiveness, price point, and how well your trust signals stack up. Sub-15% usually signals weak differentiation or weak social proof. Above 35% usually means strong category presence and solid sales execution.
Clear differentiation and positioning. Case studies with specific, measurable outcomes. Presence and ratings on G2, Capterra, and relevant review platforms. Content structured for LLM citation so your product shows up when buyers ask ChatGPT or Perplexity for recommendations. Sharp sales enablement materials.
How I help: GTM sprint + Demand Generation + SEO / AEO / GEO →
The transition point in the middle of the bowtie. The buyer has chosen you. Now the deal has to actually close — contracts signed, purchase approved, trial converted. This is often the highest-friction single stage in B2B SaaS because it's the moment stakeholders beyond your champion get involved.
The percentage of committed buyers who successfully cross into active onboarding. Drop-off here shows up as stalled deals, ghosted procurement, or signed contracts that never activate.
85% to 95% is a healthy range. Below 85% signals friction in procurement, pricing objections at the final hurdle, or activation problems that let the deal go cold before onboarding starts.
Streamlined contracting and procurement paths. ROI proof points and executive briefings for the stakeholders your champion has to sell to internally. Fast-start activation so the buyer sees value within days, not weeks. Champion enablement materials so your internal advocate can actually close the deal.
How I help: GTM sprint + Demand Generation →
The first 30 to 60 days after signing. The relationship is live but still fragile. The customer needs to reach a measurable win fast — the first dashboard, the first send, the first integration, whatever their "time to value" is. Most B2B SaaS companies underinvest here relative to acquisition spend, and pay for it in churn.
The percentage of new customers who successfully reach meaningful product value — not just logged in, but actually using the product to do the job they bought it for.
60% to 85%. Below 60% suggests a real activation gap that will show up as early churn. Above 85% usually means onboarding is instrumented, measured, and actively managed.
Milestone-based onboarding content that maps to specific outcomes. In-product education that matches user progress. Paid customer match campaigns on LinkedIn and Meta promoting activation resources. Human check-ins for accounts above a certain size. Clear activation metrics so the team knows who's stuck.
How I help: Content Marketing + Demand Generation →
The customer is getting real, measurable value from the product. This is the stage where expansion, advocacy, and referral loops are born. It's also the stage where the next buyer's Awareness stage gets seeded — because customers who reach genuine impact are the ones who refer, review, and recommend.
The percentage of customers reaching meaningful value who expand their contract, seat count, usage, or product footprint.
30% to 60%. Strong PLG and usage-based products land higher. Traditional SaaS with discrete tiers tends to land mid-range. Below 30% usually means the expansion motion is underbuilt — either nobody is responsible for it, or the product doesn't have natural expansion vectors.
Advanced use case content that teaches customers what else the product can do. Customer community and peer content. Case study programs. ABM campaigns running to existing customer accounts. Referral and advocacy programs that convert happy customers into active promoters. Product update content that surfaces expansion triggers.
How I help: Content Marketing + Demand Generation →
The end state of the bowtie. Customers expanding their contracts, growing usage, adding products, and referring new buyers. This is also the start of the next bowtie — because expansion customers are the most efficient source of new pipeline through referrals, reviews, and advocacy.
A business with 120% NRR has an expansion engine. A business with 95% NRR does not. The difference is almost always built inside the last two stages of the bowtie, not the first two.
Account-based paid campaigns targeting existing customers with upsell and cross-sell messaging. Expansion keyword campaigns on Google for customers searching for adjacent features. Feature education content that surfaces expansion triggers. Renewal sequences that start well before the renewal. Customer events and loyalty programs.
How I help: Demand Generation + Content Marketing →
Revenue Levers
Conversion rates drive pipeline. Two other inputs drive the economics of the whole model.
The annual revenue per customer. ACV multiplies every improvement you make in the funnel. A 5% improvement in Selection-to-Commitment is worth meaningfully more when ACV is $60K than when it's $6K. Pricing strategy, value metric selection, and packaging decisions all feed this number — and they're often underworked relative to funnel optimization.
The single most underestimated input in the model. A 3% monthly churn rate sounds small. It compounds to roughly 30% annualized. A 5% monthly churn rate compounds to nearly 46%. A 1% monthly churn rate compounds to about 11%. Every move from 3% to 1.5% is worth more over a 12-month horizon than most top-funnel initiatives.
Getting Started
Plug in your actual numbers. Be honest. Most teams underestimate their drop-off at Education → Selection and overestimate their Onboarding → Impact rate. Use CRM and product data where available, estimates where not.
Move any single conversion rate up by 10 points. See what happens to Month 12 ARR. The stage where a 10-point move creates the biggest lift is usually the stage most worth investing in first.
Hold all conversion rates constant. Cut monthly churn in half. Look at what happens to Month 12 ARR and cumulative customer base. This is usually the cheapest, least-obvious path to meaningfully better economics.
Next Step
The simulator shows you which stage, improved, would change your 12-month trajectory the most. The next question is how to improve it — and that depends on whether the issue is positioning, distribution, content, paid, activation, or post-purchase motion.
Book a 30-minute strategy call. We look at where your bowtie is leaking, which stage has the highest ROI to fix, and whether a fractional engagement is the right next step.
Book a strategy call →