You can't reach a cohort efficiently with a sales-led motion.
The honest version of the reason: the segment exists, the deal size doesn't justify a rep, and no amount of BDR discipline fixes that math.
ReachEight steps, in order — from the three go/no-go gates to negative churn.
Start on pricing and packaging. It is the highest-yield thing you will touch, and the thing PLG forces you to redesign anyway.
Three gates. You need all three — not two and a hope.
The honest version of the reason: the segment exists, the deal size doesn't justify a rep, and no amount of BDR discipline fixes that math.
ReachNot a hypothesis about strangers. A constraint your current accounts are already hitting inside the product.
DepthIf buyers in your category now expect to try before they talk, the choice was made for you. You're only picking the date.
Timing3 = almost irreplaceable solution to the problem. 2 = helpful, but the problem can be solved without it. Score a 2 and people go solve it elsewhere the moment they hit your limit.
Score the product, not the pitchYour paid users carry every one of them. If your CAC payback is already ugly, PLG makes it uglier before it makes it better.
Run this one out loudPut your own numbers in. The ranking doesn't change — the dollars do.
Arithmetic, so you can check it: $12,000,000 ARR × 15% operating margin = $1,800,000 operating profit. Each lever returns its published percentage of that number. The gap between the top box and the bottom box — $180,000 a year — is what "let's drive more signups" costs you in sequencing.
start here, not at the top of the funnel
Ask which part of the product has the strongest value, the strongest positioning, the most differentiated capability — and creates value the fastest. That part is your free tier. Not the whole product.
The account that's been with you for years and has slowly added every product you sell.
Not what you wish they'd bought. The actual sequence, in the actual order, with dates.
Are there other accounts halfway through the same four-step sequence? Count them.
Land on step one, expand along the line you just proved. No guessing required.
Immediate free value, embedded in a workflow, and the paywall only arrives once the product is holding weight. The order matters more than the limit.
Land, then expandIf the fastest path to value in your product takes an onboarding call, you don't have a wedge yet — you have a demo. Pick again.
Free-tier wedgeDropbox's 2GB is the reference — people delete old files to make room, and they don't leave.
Want X, pay. Clean to build, and the fastest way to generate "your plan doesn't do that" dead ends.
QualitativeExceed the allowance, pay. Users hit this one by succeeding, which is the point.
QuantitativeFree internally, pay to use it with customers. Works when the value jumps at the client boundary.
BoundaryFree users get every feature, just less volume. Fewer dead ends, more natural limit-hitting.
Default to thisPick the limit users hit naturally as they get more serious — not one they hit on day one.
Where most tiers go wrongFree→paid conversion. Below the weak band, the limit is in the wrong place — that's a packaging problem, not a traffic problem.
This is where most PLG launches die. One key action, one frequency target, cohorted. Not five metrics.
Illustrative shape, real events. Each step is something you can count today.
A stable percentage activates every period. If it decays, you don't have PMF in the free tier yet — and more traffic makes it worse.
Cohort it, chart it, watch itIf a project can't answer both, it doesn't ship this quarter. Activation also isn't one-and-done at trial end: every new capability has its own adoption curve, forever.
Applies to every project from here onThis is where PLG connects back to revenue, and it's the part most companies skip. The progression: free user → tripped feature limit → hand raise → touchless purchase.
Someone hitting a seat limit in-product is as strong a buying signal as someone on your pricing page. Both are hand raises. Route them the same way.
One journeyPeople who ask for help convert dramatically better. Stop treating tickets as cost — that queue is your best-converting segment sitting in a cost center.
Smart touch| Function | Job |
|---|---|
| Product | Onboarding |
| Marketing | Education, engagement |
| BDRs | Assist & qualify |
| Data science | Use-case assistance |
| Sales | Buying concierge |
| CSM | Deliver business outcomes |
CS proactively helps people who already pay you. Sales proactively helps people who don't yet. Same posture, different side of the line.
It's hundreds of small daily decisions — which means it has to live in the org structure or it doesn't happen. Pick a growth team model.
5–10 people, rolls up to the CEO, PM + designer core, engineers and data scientists added as it grows. Right for most companies starting out.
Start hereUber and Facebook's model. Pods own Signups, Onboarding, Notifications — each one a PM + engineer + designer + data scientist, owning a flow end to end.
Scale modelPods own Acquisition, Activation, Retention, Revenue, Referral. Clean accountability, and the highest risk of the failure mode on the right.
Metric modelSignups floods a funnel Onboarding isn't staffed for, and users bounce. That's what the VP of Growth is for — not to run a team, to catch the handoffs. Metrics flow into each other. Someone has to own the seams.
Silos are the defaultProduct builds long-term; growth reacts to engagement data. Growth layers prompts and guides on what product ships, validates a hypothesis and hands it over to be built properly, removes friction when product ships something users can't swallow, and accelerates adoption of something good.
Adjacent, not mergedHack after hack to prove a theory. Incentivize on conversion-rate lift — Deputy bonuses its squad on percentage improvement in conversion rate. What you measure is what you optimize for.
CadenceJeff Diana's warning: going too product-and-engineering-centric alienates sales, marketing and CS. Hiten Shah's fix: shared revenue targets across leadership. When the whole business shares a goal, the silos don't form.
BalanceProduct updates, education, training, onboarding. Marketers should care as much about trial-to-paid as they do about traffic. Points go on the board when users become paying, active, and vocal.
Budget shiftThe operating rhythm is cheap to copy, and it's the difference between a growth team and a growth slide.
The roadmap lays acquisition, activation, and retention & growth across Q1–Q4 by pod, so everyone can see the sequencing and the dependencies.
Notice what Vendasta's contains: acquisition, activation, and retention in one line — and it names the option to talk to a human as a feature rather than a failure.
"Total number of Cloud Brokers & SMBs who discover, self sign up, adopt and attain profitability without needing to talk to a Vendastan — and making it simple and delightful to talk to us when they want to."
Converting people into a product they'll churn out of is just faster leakage. The order of the work is the work.
Real-time, not lagging, and it predicts revenue better than this quarter's revenue does. Set it 10–20% above your target MRR growth and, with a consistent sales team, you hit your number.
Set it 10–20% above targetOne number that tells you whether growth is real or whether you're refilling a bucket with a hole in it.
One number, monthlyThat's when the model compounds without you. Everything above this section exists to get you here.
The compounding pointNew user registration and onboarding, to improve retention.
Free-to-paid conversion, especially enterprise.
Renewal and upsell, to improve DRR.
Infrastructure, reports, defined KPIs.
Data stage 1Standards, an analytics team, modelling.
Data stage 2Data SLAs, data product management, automated decisioning.
Data stage 3You can't run a metrics-pod org on Stage 1 data. Your data has to keep up with your structure.
If you keep five lines from this page, keep these.
We engineer growth systems. JayOh builds the RevOps architecture, GTM execution and data infrastructure that turn messy revenue operations into predictable pipeline for B2B SaaS and PE-backed teams.
