Gains:
- Ability to understand market entry (GTM) strategy, marketing funnel (AARRR) and channel concept and design experiments with artificial intelligence
- Ability to use AI to generate content, ad copy, email sequence and A/B testing hypothesis
- Ability to understand that immeasurable growth is luck and that it must be verified by the cost (CAC) of each channel.
Making a good product is half the battle; The other half is reaching the right people and turning them into customers. Many founders spend months on the product, say "we'll worry about it later" on marketing, and fail because no one has heard of the product. In this unit, we will learn the concepts of market entry (go-to-market, GTM - strategy to deliver the product to the target customer), marketing funnel and channel testing, and use AI (artificial intelligence) to produce content, experiments and messages. Limit: Unmeasurable growth is luck; Not every channel can be considered "working" until it is validated by the customer cost (CAC) it brings.
Marketing funnel: AARRR
The most common framework for understanding growth is AARRR (sometimes called “pirate metrics”), the five-stage funnel:
- Acquisition: How do people find you? (advertisement, search, recommendation)
- Activation: Are they having the first valuable experience? (sign up and see the first benefit)
- Retention: Are they returning? (main health indicator)
- Referral: Do they recommend it to anyone else?
- Revenue: Do they pay money?
Think of this funnel like a water pipe: you lose people at every stage. The biggest mistake is trying to pour more water on the top of the pipe (more ad) while the bottom of the pipe is holed (low retention). First find the most leaky part of the funnel and fix it. AI is helpful in generating experiments and messages for each stage, but it tells you which stage is the bottleneck.
Tip: Retention is often the most critical but most neglected stage. If incoming users don't return, every dollar you spend on acquisition goes into the bucket. Before putting money into growth, “do people who come stay?” Answer the question.
Channel concept and channel-product fit
A channel is the way you reach the customer: search engine, social media, email, content, peer-to-peer sales, referral program, community. Not every product fits every channel; This is called channel-product fit. You can't sell an expensive and complex corporate product with social media advertising; You cannot grow a cheap and personal application with one-on-one sales (it doesn't cost much). The right approach is to test several channels as an experiment with a small budget, measure which one brings customers with the lowest CAC, and grow the winner.
Experimentation mindset and A/B testing
Growth proceeds through experimentation, not intuition. Every marketing idea is a hypothesis: “This headline will bring this many conversions in this channel.” A/B testing is showing two versions (for example, two different titles) at the same time and measuring which one works better. AI is incredibly fast at generating a multitude of headline, ad copy, and email variations — but it's the actual click and conversion data, not the AI, that decides which one wins. AI generates hypotheses; The market votes.
Step by step: Growth with AI
- Draw the funnel. How much is lost at which stages? Find the biggest hole.
- Focus on the bottleneck. Generate experiment ideas for the most leaky stage.
- Choose 2-3 channels. Discuss with AI the channels appropriate for its product; Make a test plan with a small budget.
- Create content/message. Ask AI for headline, ad copy, email sequence variations.
- Set up measurement. Define in advance how you will measure CAC and conversion for each channel.
- Test, read, decide. Grow the winning channel, stop the losing one. The decision is up to the founder.
three mini cases
Case 1 — Repairing a holed bucket. A founder was spending money on advertising but could not grow. When he drew the funnel with AI, he saw that acquisition was good, retention was terrible: 85% of those who came left within a week. Stopped the ad and improved the initial experience (activation). When retention improved, the same advertising budget brought real growth this time. The order was important: first the hole, then the water.
Case 2 — Wrong channel to right channel. One team tried to sell enterprise software with a social media ad; CAC was so high, no one was clicking. They discussed channel compatibility with AI and moved on to one-to-one sales and sectoral content channels. CAC dropped significantly, conversion increased. Product-channel fit was more important than budget.
Case 3 — The surprise of A/B testing. A founder was confident in the landing page title. He had YZ produce 6 alternative titles and A/B tested two of them. The title, which used the client's own words ("collections nightmare" from Unit 3) rather than a personal favorite, drove double conversions. Intuition was wrong, data won. AI produced variation, decision came from data.
Four copyable templates
1) Funnel bottleneck analysis:
Your role: growth analyst. The numbers for my AARRR funnel are: acquisition [x], activation [y], retention [z], recommendation [k], revenue [m]. (1) Find which stage is the biggest churn, (2) write down 3 possible causes of this bottleneck, (3) suggest a cheap fix for each cause. Prioritize fixing the hole before recommending more ads.
2) Channel selection and test plan:
My product: [description], price [x], my customer [segment]. Recommend 3 marketing channels suitable for this product with justification (channel-product fit). Give a small-budget testing plan for each channel: what do I spend, what do I measure (CAC/conversion), which result says "continue" and which result says "stop". Don't suggest channels that can't be measured.
3) Ad/headline variations (for A/B):
Write 6 different landing page titles for the following product. Rule: in the customer's own language (these words: [customer words]), without exaggeration, each hitting a different angle (benefit, pain, speed, trust). I will A/B test them; The data, not you, will determine which one wins.
4) Email sequence draft:
Write a 3-email intro sequence to pre-registered users: (1) welcome + single benefit, (2) social proof/use example, (3) clear call. Short, friendly, not spammy. Don't use over-promise and misleading urgency ("last 2 hours!").
Weak prompt / Strong prompt
Weak prompt:
How do I market my product, give me an idea that will go viral.
This prompt produces useless generic advice that cannot be measured, does not take into account channel-product fit, and is based on an uncontrollable wish to go "viral."
Powerful prompt:
Your role: growth analyst. My product [x], my customer [y], price [z]. Numbers of my funnel [list]. Find the biggest bottleneck, suggest 3 cheap experiments to it; Also give CAC measurable small budget test plan for 3 channels suitable for the product. Don't suggest any tactics that can't be measured.
concept
Meaning
Why is it important?
acquisition
People finding you
entrance of the funnel
activation
Living the first value
Beginning of permanence
retention
don't come back
The real indicator of health
CAC
Customer acquisition cost
Measure of channel success
A/B testing
Comparing the two versions
Data over intuition
Common mistakes
- Skipping retention and spending money on advertising. Carry water into the hole bucket; repair it first.
- Not observing channel-product compatibility. Wrong channel explodes CAC, brings no conversion.
- Enlarge without setting up measurement. Spending CAC without knowing it is playing on chance.
- Trusting intuition and not testing it. Your own favorite message is often not the customer's.
- The expectation of "going viral". Virality is not a strategy, it is a rare outcome; Focus on the measurable channel.
Caution: Ad copy and emails you produce with AI must not contain misleading promises, false urgency or unverifiable claims; This both undermines trust and is risky in terms of consumer protection legislation. Additionally, it is a legal obligation to obtain consent (approval) in email/SMS marketing. AI generates text; Its suitability and honesty are your responsibility.
In summary
Making products is half the battle; The other half is reaching the right people and turning them into customers. The marketing funnel (AARRR) shows growth in five stages; The biggest mistake is to pour more water to the top when the funnel is leaking (low retention). Channel-product fit is more important than budget; The right way is to test a few channels with a small budget and expand the one with the lowest CAC. Growth proceeds by experiment, not intuition; AI is fast at generating countless headline, message, and email variations, but actual click and conversion data determines the winner. Growth that cannot be measured is luck; Every channel must be verified with CAC and every message must be honest and legal.
Application task
Write down your product's AARRR funnel (albeit hypothetical) in numbers and find the biggest hole with the "Funnel bottleneck analysis" template. With the "Channel selection and test plan" template, create a test plan with 3 channels suitable for your product and CAC measurements for each. Finally, generate 6 headlines with the “Ad/headline variations” template and select two to A/B test; Write in advance which metric (conversion rate) will determine the winner.
checklist
- [ ] Did I find the biggest bottleneck of the funnel and address it first?
- [ ] Did I choose channels based on product-channel compatibility?
- [ ] Have I predefined the CAC/conversion metric for each channel?
- [ ] Did I prepare message variations for A/B testing and leave the decision to the data?
- [ ] Am I sure that the texts are honest, not misleading and authorized (legal)?