A comprehensive AI agent skill for building and optimizing marketing and sales funnels. Helps SaaS founders, marketers, and growth teams design conversion pa...
Every business that acquires customers has a funnel. Most of them do not know what is actually happening inside it.
Traffic arrives. Some of it converts to leads. Some leads become trials or demos. Some trials become customers. Some customers stay. Some expand. The numbers at each transition are either known precisely or estimated vaguely or not tracked at all, and the difference between those three situations is the difference between a growth team that knows what to fix and a growth team that argues about what to try next.
The funnel is not a metaphor. It is the actual sequence of steps a prospect takes from first awareness of your product to becoming a paying customer who stays and grows. Every step has a conversion rate. Every conversion rate has levers. Every lever responds to specific interventions. The team that understands this at a granular level has a structural advantage over the team that does not, regardless of the relative quality of their products.
This skill builds that understanding and the capacity to act on it.
The word funnel is used to describe processes that are genuinely different in structure, in measurement, and in the interventions that improve them. Treating them as interchangeable produces strategies that are right for the wrong funnel.
A product-led growth funnel moves prospects through self-service discovery, free trial or freemium use, and conversion to paid — often with no human involvement until the customer has already experienced value. The leverage points are the product experience, the activation sequence, and the moments where value is first felt. The conversion lever is the gap between what the free experience offers and what the paid experience enables.
A sales-led funnel moves prospects through awareness, lead capture, qualification, discovery calls, demonstrations, proposals, and negotiation — with sales humans involved at most stages. The leverage points are lead quality, sales process efficiency, objection handling, and proposal-to-close conversion. The conversion lever is the quality and consistency of human interactions across a pipeline that can hold hundreds of opportunities simultaneously.
A content-led funnel builds audience through organic content, captures leads through gated assets or email, and nurtures those leads through education toward a purchase decision that happens on the prospect's timeline. The leverage points are content quality, SEO reach, lead magnet conversion, and the nurture sequence that moves a lead from interested to ready.
Each requires different measurement, different optimization priorities, and different skills to improve. The skill identifies which type of funnel applies to your business and builds the framework appropriate to it.
The most common funnel mistake is optimizing before measuring. A landing page is rewritten because it feels like it should convert better. An email sequence is redesigned because someone read an article about subject lines. An onboarding flow is rebuilt because the CEO had a bad experience using a competitor's product. Each of these interventions may improve the funnel. None of them are certain to, because the decision was made without knowing where the actual problem is.
Funnel measurement starts with defining the stages — the specific, observable actions that constitute each step in the progression from stranger to customer — and instrumenting them with tracking that produces reliable numbers. Not vanity metrics that look good in board presentations. The conversion rates between each stage that reveal where prospects are dropping off and at what rate.
The skill builds a measurement framework for your specific funnel. The events worth tracking and how to define them consistently. The conversion rates that matter most and the benchmarks that give them context. The cohort analysis that separates the behavior of new users from the behavior of users acquired under different conditions. The attribution logic that credits the right touchpoints rather than the last click or the first click by default.
When the measurement is right, the prioritization becomes obvious. Fix the biggest drop-off first. Everything else is a distraction.
Traffic that does not convert is not a conversion problem. It is a traffic problem — either not enough of it, or the wrong kind of it, or both.
The top of funnel determines who enters the funnel and with what initial framing of your product. The channel mix — paid search, content and SEO, social, referral, product-led virality — determines the volume and quality of that traffic. The messaging at the point of first contact determines whether the right person recognizes that this is for them and takes the next step.
The skill helps you build a top-of-funnel strategy that matches your business model and your resources. For early-stage companies without paid acquisition budget, it focuses on the channels that produce high-quality traffic without requiring ongoing spend — content, SEO, community, partnerships, product virality. For companies with acquisition budget, it covers the paid channel economics — CAC by channel, payback period, the unit economics that determine how much you can afford to spend per acquired customer — and the measurement that tells you whether the spend is working.
The copy and messaging that sits at the top of funnel — the ad, the search result, the social post, the word of mouth referral — is where the audience self-selects. The skill writes this copy with the specificity that attracts the right prospect and the clarity that communicates the value proposition before the prospect has invested enough to be patient with ambiguity.
The middle of the funnel is where most of the work happens and most of the leverage lives. A prospect who has arrived at your landing page, your trial, your demo request form — they are interested enough to have taken a step. The question is whether the experience they encounter from that point forward earns the next step.
Landing pages that convert well do one thing: they make the value proposition clear to the specific person who arrived, with enough evidence to reduce doubt, and a call to action that is easy to take. Landing pages that convert poorly do several things: they try to communicate everything, they address nobody specifically, they provide insufficient evidence, and they ask for too much before giving enough.
The skill writes and diagnoses landing pages with the conversion principles that actually move numbers. The headline that states the outcome rather than describing the product. The subheadline that answers the objection the headline raises. The social proof that is specific enough to be believable rather than generic enough to be meaningless. The call to action that is a natural next step rather than a commitment that feels premature.
For trial and freemium products, activation — the moment a new user first experiences the core value of the product — is the most important conversion event in the funnel. Users who activate become customers at dramatically higher rates than users who do not. The onboarding sequence that reliably guides new users to activation is worth more than any optimization anywhere else in the funnel.
The bottom of funnel is where intent meets friction. A prospect who has reached this stage has done significant self-selection — they are interested, they have evaluated, they are considering. The question is whether the remaining friction — pricing confusion, unanswered objections, unclear next steps, competitive alternatives still under consideration — is greater than their motivation to proceed.
Conversion optimization at the bottom of funnel is not primarily a copywriting exercise. It is a friction audit. What are the specific objections that cause prospects to pause or leave? What information are they looking for that they are not finding? What commitment are they being asked to make before they feel ready to make it? What would make the decision to buy feel obviously right rather than uncertain?
The skill helps you build this audit from the evidence available — user research, sales call recordings, churn interviews, support tickets from the pre-purchase stage — and translate it into specific changes to the conversion experience. It writes the objection-handling copy. It designs the pricing page that clarifies rather than confuses. It builds the trial-to-paid conversion email sequence that makes the case at the moment of decision.
A funnel that ends at the first conversion is a funnel that is constantly refilling from scratch. The most efficient growth funnels extend into retention — the period after the first purchase where the customer either stays and expands or churns and must be replaced.
Retention is not a separate problem from acquisition. It is the downstream consequence of the promises made and kept at every earlier stage. Customers who were acquired through messaging that overpromised churn at higher rates. Customers who activated successfully — who experienced the core value early and clearly — retain at higher rates. Customers who are expanded into adjacent use cases have higher lifetime value than customers who remain at their initial commitment.
The skill connects retention metrics to funnel decisions. The churn rate that reveals whether the product is delivering on acquisition promises. The expansion revenue that indicates whether customers are finding more value over time. The net revenue retention that determines whether the customer base grows or shrinks independent of new acquisition.
Funnel optimization is a process of systematic experimentation — forming hypotheses about what would improve conversion at a specific stage, testing those hypotheses against real user behavior, and updating the funnel based on what is learned rather than what was hoped.
The skill builds an experimentation program that produces learning rather than noise. The hypothesis format that forces clarity about what is being tested and why. The sample size calculation that determines whether a test ran long enough to produce reliable results. The analysis that separates statistical significance from practical significance. The documentation that captures what was learned so that knowledge accumulates across experiments rather than evaporating when the person who ran the test moves on.
Most funnel experiments fail to move the metric they were testing. This is not a failure of the process — it is the expected result of honest experimentation. The test that confirms a hypothesis and the test that disconfirms it are equally valuable, because both eliminate uncertainty about what the funnel responds to. The only failed experiment is the one designed so poorly that its result tells you nothing.
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